{"id":1057,"date":"2020-07-13T11:50:33","date_gmt":"2020-07-13T03:50:33","guid":{"rendered":"https:\/\/www.fst.um.edu.mo\/personal\/?page_id=1057"},"modified":"2026-04-29T23:08:36","modified_gmt":"2026-04-29T15:08:36","slug":"cmvong","status":"publish","type":"page","link":"https:\/\/www.fst.um.edu.mo\/personal\/cmvong\/","title":{"rendered":"Chi Man VONG"},"content":{"rendered":"<p>&nbsp;<\/p>\n<table width=\"100%\" cellspacing=\"0\" cellpadding=\"3\">\n<tbody>\n<tr>\n<td valign=\"top\">\n<h5><img decoding=\"async\" src=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2021\/10\/pic-247x300.jpg\" alt=\"\" width=\"128\" height=\"165\" \/><\/h5>\n<\/td>\n<td valign=\"BOTTOM\">Chi Man VONG \u9ec3\u5fd7\u6587<\/p>\n<h5>Associate Professor<\/h5>\n<h5>Department of Computer and Information Science (CIS)<\/h5>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr size=\"1\" width=\"100%\" \/>\n<h3>Academic Qualification<\/h3>\n<ul>\n<li>PhD in Software Engineering, FST, University of Macau (2005)<\/li>\n<li>M.Sc. in Software Engineering, FST, University of Macau (2000)<\/li>\n<li>B.Sc. in Software Engineering, FST, University of Macau (1996)<\/li>\n<\/ul>\n<hr size=\"1\" width=\"100%\" \/>\n<h3>Working Experience<\/h3>\n<ul>\n<li>AUG-2013 to present: <strong><em>Associate Professor<\/em><\/strong>, Dept. of Computer and Information Science, Faculty of Science and Technology, University of Macau<\/li>\n<li>AUG-2017 to JUN-2025: <b><i>Associate Head<\/i><\/b>, Dept. of Computer and Information Science, Faculty of Science and Technology,<br \/>\nUniversity of Macau<\/li>\n<li>JAN-2006 to AUG-2013: <strong><em>Assistant Professor<\/em><\/strong>, Dept. of Computer and Information Science, Faculty of Science and Technology, University of Macau<\/li>\n<li>JAN-2000 to DEC-2005: <strong><em>Lecturer<\/em><\/strong>, Dept. of Computer and Information Science, Faculty of Science and Technology, University of Macau<\/li>\n<\/ul>\n<hr size=\"1\" width=\"100%\" \/>\n<h3>Award and Honor<\/h3>\n<ul>\n<li><strong>IEEE Senior Member<\/strong><\/li>\n<li><b>1<sup>st\u00a0<\/sup>prize, Academic Paper Award 2022, <\/b>by Shenzhen-HK-Macau Scientific Projects Competition, April 2023.<\/li>\n<li><b>2<sup>nd\u00a0<\/sup>prize, Contribution Award to Computing Technology\u00a02022, <\/b>by Shenzhen Association of Science and Technology, March 2023<\/li>\n<li><b>Best Teaching Award Winner (2023-2025; 2020-2022), <\/b>by CCE, University of Macau (UM), January 2026, and January 2023 respectively.<\/li>\n<li><b>FST Research Excellence Award Nominee,\u00a0<\/b>by University of Macau (UM), March 2023.<\/li>\n<li><b>FST Reserach Excellence Award Winner, <\/b>by University of Macau (UM), May 2018.<\/li>\n<li>Best Presentation Award, International Symposium on Extreme Learning Machines (ELM 2012), Singapore, 11-13 December, 2012.<\/li>\n<li><strong>Long Service Award of 25 years<\/strong>, by University of Macau (UM), 2021.<\/li>\n<\/ul>\n<hr size=\"1\" width=\"100%\" \/>\n<h3>Teaching<\/h3>\n<h4>Postgraduate Courses<\/h4>\n<ul style=\"font-family: Roboto, sans-serif;font-size: 18px;font-weight: 400;letter-spacing: normal\">\n<li><span style=\"font-family: 'times new roman', times, serif;font-size: 18pt\">Advanced Topics in Computer Science (CISC8001)<\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-family: 'times new roman', times, serif;font-size: 18pt\">Principles of Artificial Intelligence (CISC7013)<\/span><\/li>\n<\/ul>\n<h4>Undergraduate Course<\/h4>\n<ul>\n<li><span style=\"font-size: 18pt\">Artificial Intelligence (CISC3012)<\/span><\/li>\n<\/ul>\n<h4>Supervised Postgraduate Students<\/h4>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Ph.D. graduates<\/b><\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 WANG Guangtai, Partial Label Learning, Sep 2021 &#8211; Jun 2025.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Postdoc Fellow, Zhejiang University, China\u00a0 (2025).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 WONG Chi Man, E-commerce, Sep 2021 &#8211; Jun 2025.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Senior Algorithm Engineer, Shopee, China (2025).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022\u00a0HUANG Jintao,\u00a0Large-scale High-dimensional Multi-label Learning\u00a0with Label Ambiguity, Sep 2020 &#8211; Jun 2023.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Research Assistant Professor, Hong Kong Baptist University, Hong Kong\u00a0 (2023).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022\u00a0LAI Qi,\u00a0Broad Learning System and its Application in\u00a0Weakly Supervision\u00a0, Sep 2019 &#8211; Jun 2023.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Post-doc Fellow, University of Macau, Macau (2023).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022\u00a0LIU Peng,\u00a0Effective data-mining approaches on small data, distributed\u00a0data and incremental data, Sep 2017 &#8211; Jun 2023.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Senior Algorithm Engineer, Tencent, China (2023).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 GAN Yanfen, Effective and Efficient Detection for Multimedia Information Forensics, Sep 2018 &#8211; Jun 2022.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Associate Professor, Guandong Polytechnic of Industry and Commerce, China (2022).<\/p>\n<p>\u2022 LUO Jiahua, Scalable and Memory-efficient Sparse Bayesian Learning for Classification Problems, Sep 2018 \u2013 Dec 2021.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Senior Research Scientist, Tencent, China (2021).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022\u00a0YAN Tao (Co-sup), Sep 2018 &#8211; Dec 2021.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Lecturer, Hubei University of Arts and Science, China (2022).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022\u00a0WONG Chi Chong, Deep Learning for Semantic Understanding: From 2D Images to 3D Point Clouds, Sep 2017 &#8211; Dec 2021.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Assistant Professor, Macau University of Science and Technology, Macau (2022).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022\u00a0WANG Weiru, Secure Cloud Storage via Encrypted Machine Learning Algorithms, Sep 2014 &#8211; Jun 2020.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Lecturer, Beijing University of Technology, China (2020).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022\u00a0CHEN Chuangquan, Compressive Extreme Learning Machines for Supervised Learning, Unsupervised Learning, and Semi-supervised Learning, Sep 2016 &#8211; Dec 2019.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Lecturer, Wuyi University, China (2019).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 DU Jie, Batch and Online Imbalance and Multi-label Classification, Sep 2015 &#8211; Mar 2019.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Assistant Professor, Shenzhen University, China (2018).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022\u00a0GAO Xianghui (Co-sup), Development of an Initial-Training-Free Online Extreme Learning Machine with Applications to Automotive Engine Calibration and Control, Sep 2013 &#8211; JUN 2017.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0 \u00a0 \u00a0 \u00a0 1st Job: Lecturer, Heibei University, China (2017).<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>MSc. graduates<\/b><\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>JIANG Xinyu<\/b>, Fast and Robust Direct Depth-Inertial Odometry for Low Texture Environment, Sep 2018 \u2013May 2021.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>TAI Keng-iam<\/b>,\u00a0 Detection of Safety Driving Based on Driver Eyes and Face, Sep 2015 \u2013 Nov 2019.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>WONG Chi-man<\/b>, Extreme Learning Machine for Multi-class Classification, Sept 2015\u00a0 \u2013 May 2018.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>GE Xiaowei<\/b>, Peak-sensitive method for time-delay and peak\/valley problems in time series forecasting, Sept 2014 \u2013 Sept 2017.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>LIU Yan<\/b>, Translation Hypothesis Re-ranking for Statistical Machine Translation, Sept 2014 \u2013 Jun 2017.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>WEN Yuan<\/b>, Improved Re-ranking model for Translation Hypothesis Using Extreme Learning Machine, Sept 2013 \u2013 Aug 2016.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>ZHANG Rui<\/b>, Application of Support Vector Machines and Principal Components Analysis to Damage Impact Location, Sept 2007 \u2013 Aug 2014.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>FU Heming<\/b>, Comparison Study of SVM and BPNN for Damage Impact Location Based on PCA, 2011 \u2013 Jul 2014.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>LUO Jiahua<\/b>, Compact Modelling by Sparse Bayesian Extreme Learning Machine, Sept 2011 \u2013 Jun 2014.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>Chiu Chi-chong<\/b>, Online Sequential Prediction of Minority Class of Suspended Particulate Matters by Meta-Cognitive OS-ELM,, Sept 2010 \u2013 Aug 2013.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>YANG Jingyi<\/b>, An Improved Algorithm for Data Filtering Based on Variation for Short Term Air Pollution Prediction in Macau, Sept 2009 \u2013 Jul 2012.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>HUANG He<\/b>, Case-based Expert System using Wavelet Packet Transform and Kernel-based Feature Manipulation for Engine Spark Ignition Diagnosis, Jan 2009 \u2013 Apr 2010.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>NG Man-chi<\/b>, Support Vector Machines for Automotive Engine Ignition Signal Analysis and Inspection, Sept 2008 \u2013 Aug 2009.<\/p>\n<p style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u2022 <b>BAO Ruihe<\/b>, Case-based Reasoning for Automotive Electronic Control Unit Calibration, Sept 2007 \u2013 Jun 2009.<\/p>\n<hr size=\"1\" width=\"100%\" \/>\n<h3>Research<\/h3>\n<h4>Research Interests<\/h4>\n<ul>\n<li>Computer Vision; Semantic Segmentation; Visual SLAM; Machine Learning Algorithms<\/li>\n<\/ul>\n<h4>Research Projects<\/h4>\n<p>External Funding (as Principal Investigator)<\/p>\n<ul type=\"disc\">\n<li><strong>Research on high-precision autonomous positioning for indoor and outdoor industrial robots in special environments<\/strong>, co-funded by Science and Technology Development Fund of Macau (FDCT) and Department of Science\u00a0and Technology of Guangdong Province (GDST), 2025-2027.<\/li>\n<li><strong>Key technologies of autonomous vision-based localization and navigation of UAVs for low-altitude economy<\/strong>, funded by Science and Technology Development Fund of Macau (FDCT), 2025-2027.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Low-cost Dynamic High-precision Autonomous Localization and Scene Understanding for Autonomous Driving, <\/b>funded by Shenzhen Municipal Technology and Innovation Committee (STIC), 2023-2026<b>.<\/b><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Key Technologies of Low-cost and high-precision 3D SLAM in Large Scale Scenario, <\/b>funded by Science and Technology Development Fund of Macau (FDCT), 2023-2025.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>High-precision and low-cost positioning system for warehousing mobile robots, <\/b>funded by Wuyi University, Jiangmen, China, 2022-2024<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>The Key Technology of Deep Fuzzy Learning for Small Samples of Medical Images and Its Application in COVID-19 images<\/b>, funded by Science and Technology Development Fund of Macau (FDCT), 2021-2023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Intelligent Diagnosis of Gastric Intestinal Metaplasia by using Gastroscope images and Incremental Broad Learning Systems,<\/b> funded by Science and Technology Development Fund of<br \/>\nMacau (FDCT), 2020-2022.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Research on Human-like Analysis, Reasoning, Auxiliary Diagnosis and Treatment of Medical Big Data, <\/b>funded by Science and Technology Development Fund of Macau (FDCT), 2019-2021.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Online Learning for Multi-label Data Streams<\/b>, funded by Science and Technology Development Fund of Macau (FDCT), 2017-2019.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>SDTAM (Semi-dense Tracking and Mapping) and Its Application to Real-time 3D Reconstruction<\/b>, funded by Science and Technology Development Fund of Macau (FDCT), 2016-2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Efficient and Parsimonious Modeling by Sparse Bayesian Extreme Learning Machine<\/b>, funded by Science and Technology Development Fund of Macau (FDCT), 2014-2015.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Modelling and Optimization of Automotive Engine Dynamic Performance under Numerical and Nominal Data<\/b>, funded by Science and Technology Development Fund of Macau (FDCT), 2007-2009.<\/li>\n<\/ul>\n<p>Internal Funding (as Principal Investigator)<\/p>\n<ul type=\"disc\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Object-aware 3D Reconstruction under Abrupt Dynamic Objects based on Graph Neural Network with Robust Object Trajectory Prediction,<\/b>\u00a02024-2025<b>.<\/b><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>The Key Technology of Deep Learning based 3D Visual Semantic Understanding, <\/b>2023-2024<b>.<\/b><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Research and Development on Deep Convolutional Neural Network based Smart Parking Lots Detection System,<\/b> 2020-2022.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Secure Cloud Storage using Homomorphic Encrypted Machine Learning<\/b>, 2018-2020.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Highly Efficient Semantic Semi-dense 3D Reconstruction using Quadcopters,\u00a0<\/b>2017-2019.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Compact Modelling by Sparse Bayesian Extreme Learning Machine for Big Data<\/b>, 2014-2016.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Modelling and Optimization of Bio-fuelled Automotive Engines using Advanced Machine Learning Techniques,<\/b>\u00a02013-2015.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Simultaneous Fault Diagnosis of Automotive Engine Based on Ignition Patterns<\/b>, 2012-2013.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b style=\"color: var( --e-global-color-text );font-family: var( --e-global-typography-text-font-family ), Sans-serif\">Forecasting Daily Ambient Air Pollution Using Kernel Learning Methods with Wavelet Analysis,<\/b>\u00a02011-2012.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>CBR-based Engine Spark Ignition Diagnosis with Wavelet Packet Transform and Kernel Principal Components Analysis,<\/b>\u00a02010-2011.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Forecasting Daily Ambient Air Pollution based on Wavelet Least Squares Support Vector Machines,<\/b>\u00a02010-2011.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Signal Analysis of Automotive Engine Spark Ignition System using Case-based Reasoning (CBR) and Case-based Maintenance (CBM),<\/b>\u00a02009-2010.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Modelling\u00a0and Optimization of Automotive Engine Dynamic Performance\u00a0under Numerical and Nominal Data,<\/b>\u00a02006-2007.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Data Preprocessing and Modelling of Advanced Automotive Engines<\/b>, 2005-2006.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Prediction of Vehicle Performance using Neural Networks,<\/b>\u00a02004-2005.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Application of Data Mining Techniques for Automotive Engine Data Analysis,<\/b>\u00a02002-2003.<\/li>\n<\/ul>\n<hr size=\"1\" width=\"100%\" \/>\n<h3>Research Publications<\/h3>\n<h4>Top-tier Conference Papers<\/h4>\n<ol start=\"1\" type=\"1\">\n<li><em>(CCF-A) <\/em><u>W. Li<\/u>, J. Cheng, X. Tang, <strong>C. M. Vong<\/strong>, Anchoring the Affective Manifold: Learning Canonical and Disentangled Representations via Generative Cross-Modal Alignment, ACL 2026<\/li>\n<li><em>(CCF-A) <\/em><u>C. B. Feng<\/u>, Y. Sha, L. Liu, Y. Yu, <strong>C. M. Vong<\/strong>, X. Yu, X. Shen, FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion, ICLR 2026<\/li>\n<li><em>(CCF-A) <\/em><u>K. Liu<\/u>, H. Xi, <strong>C. M. Vong<\/strong>, H. Wei, Online Conformal Selection with Accept-to-Reject Changes, AAAI 2026<\/li>\n<li><em>(CCF-A) <\/em><u>J. Huang<\/u>, Y. M. Cheung, <strong>C. M. Vong<\/strong>, W. Qian, GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning, AAAI 2025<\/li>\n<li><em>(CCF-B) <\/em><u>K. Liu<\/u>, H. Zeng, J. Huang, H. Zhuang, <strong>C. M. Vong<\/strong>, H. Wei, C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets, ECAI 2025<\/li>\n<li><em>(CCF-B) <\/em><u>H. Su<\/u>, B. Wang, D. Liu, J. Li, C. B. Feng, <strong>C. M. Vong<\/strong>, Towards Fully Test-Time Adaptation via Variance Balancing and Semantic Augmentation, ICASSP 2025<\/li>\n<li><em>(CCF-A) <\/em>Y. Hua, Z. Liu, M. Chen, Z. Fang, <span style=\"text-decoration: underline\">C. M. Wong<\/span>, L. Li, <strong>C. M. Vong<\/strong>, H. Chen, W. Zhang, Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning, ACL 2025<\/li>\n<li><u>J. Sun<\/u>, X. Jiang, X. Xu, <strong>C. M. Vong<\/strong>, WAGL: Extreme Weather Adaptive Method for Robust and Generalizable UAV-based Cross-View Geo-localization, ACM Multimedia Workshop: UAVM 2024 (2nd runner-up in the competition\uff09<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(CCF-A)\u00a0<\/i><u>C.C. Wong,<\/u>\u00a0<b>C.M. Vong,\u00a0<\/b>Persistent Homology based Graph Convolution Network for Fine-grained 3D shape Segmentation, Proceedings of IEEE\/CVF International<br \/>\nConference on Computer Vision (ICCV 2021), Oct 2021.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(CCF-A)\u00a0<\/i><u>C.C. Wong,<\/u>\u00a0<b>C.M. Vong,\u00a0<\/b>Efficient Outdoor 3D Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts, 16<sup>th<\/sup> European Conference on Computer Vision (ECCV 2020), Glasgow, UK, Aug 2020.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(CCF-A)\u00a0<\/i><u>C.M. Wong,<\/u>\u00a0F. Feng, W. Zhang, <b>C.M. Vong,\u00a0<\/b>H. Chen, Y. Zhang, P. He, H. Chen, K. Zhao, H.J. Chen. Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph, 2021 IEEE 37<sup>th\u00a0<\/sup>International Conference on Data Engineering (ICDE 2021), 2021.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(CCF-A)\u00a0<\/i><u>Z. Han<\/u>, X. Wang,\u00a0<b>C.M. Vong, <\/b>Y.S. Liu, M. Zwicker. 3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention, Proceedings of the 28<sup>th\u00a0<\/sup>International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019.<\/li>\n<\/ol>\n<p>Journal Papers<\/p>\n<ul>\n<li><b>2026<\/b><\/li>\n<\/ul>\n<ol>\n<li><em>(SCI-E) <\/em><u>Q. Lai<\/u>, <strong>C. M. Vong<\/strong>, T. Yan, X. Liang, Interactive Multiple Instance Learning Network for Whole Slide Image Analysis, <em>Expert Systems with Applications<\/em>, 297:129338, 2026<\/li>\n<li><em>(SCI-E) <\/em><u>G. Wang<\/u>, <strong>C. M. Vong<\/strong>, J. Huang, Exploiting the Potential Supervision Information of Clean Samples in Partial Label Learning, <em>Pattern Recognition<\/em>, 174:112921, 2026<\/li>\n<li><em>(SCI-E) <\/em>J. P. Jin, <span style=\"text-decoration: underline\">C. B. Feng<\/span>, R. Fan, <strong>C. M. Vong<\/strong>, SemanticStitch: Enhancing Image Coherence through Foreground-Aware Seam Carving, <em>The Visual Computer,<\/em> 42(1):69, 2026<\/li>\n<\/ol>\n<ul>\n<li><b>2025<\/b><\/li>\n<\/ul>\n<ol>\n<li><em>(SCI-E) <\/em>Q. Chan<span style=\"text-decoration: underline\">g<\/span>, X. Meng, Y. Cui, <strong>C. M. Vong<\/strong>, C. Chen, A New Glass Segmentation Network with Indoor and Outdoor Panoramic Images, <em>Applied Soft Computing<\/em>, 183:113626, 2025<\/li>\n<li><em>(SCI-E) <\/em><u>C. B. Feng<\/u>, K. Liu, J. Sun, Q. Lai, J. P. Jin, H. Su, G. Wang, <strong>C. M. Vong<\/strong>, Unpaired to Paired Data Synthesis and Generative Ensemble Network for Smudged Image Restoration, <em>Applied Soft Computing<\/em>, 183:113648, 2025<\/li>\n<li><u><em>(SCI-E)<\/em><\/u> T. Zhang, H. J. Rong, Z. X. Yang, <strong>C. M. Vong<\/strong>, A Fast and Robust Ensemble Evolving Pixel Cloud-Based Image Segmentation Approach, <em>Applied Soft Computing<\/em>, 185:113926, 2025<\/li>\n<li><em>(SCI-E) <\/em>X. Yu, J. Li, C. C. Wong, <strong>C. M. Vong<\/strong>, Y. Liang, FACNet: Feature Alignment Fast Point Cloud Completion Network, <em>Computational Visual Media<\/em>, 11(1):141\u2013157, 2025<\/li>\n<li><u><em>(SCI-E) <\/em>Q. Lai<\/u>, <strong>C. M. Vong<\/strong>, T. Yan, P. K. Wong, X. Liang, Hybrid Multiple Instance Learning Network for Weakly Supervised Medical Image Classification and Localization, <em>Expert Systems with Applications<\/em>, 260:125362, 2025<\/li>\n<li><em>(SCI-E) <\/em>Z. Jia, Z. Li, Z. Wang, Z. Liu, <strong>C. M. Vong<\/strong>, Joint Prediction of SOH and RUL for Lithium Batteries Considering Capacity Self-Recovery and Model Drift, <em>IEEE Internet of Things Journal<\/em>, 12(12):22187\u201322196, 2025<\/li>\n<li><u><em>(SCI-E) <\/em>J. Luo<\/u>, J. Chen, J. Xiang, C. Wong, <strong>C. M. Vong<\/strong>, Complexity-Optimized Sparse Bayesian Learning for Scalable Classification Tasks, <em>Information Sciences<\/em>, 719:122447, 2025<\/li>\n<li><em>(SCI-E) <\/em>Y. Li, <strong>C. M. Vong<\/strong>, C. L. P. Chen, S. Wang, Analytical Selection of Hidden Parameters through Expanded Enhancement Matrix Stability for Functional-Link Neural Networks and Broad Learning Systems, <em>Knowledge-Based Systems<\/em>, 310:112923, 2025<\/li>\n<li><em>(SCI-E) <\/em>Y. Sun, <strong>C. M. Vong<\/strong>, S. Wang, Adversarial De-Overlapping Learning Machines for Supervised and Semi-Supervised Learning, <em>International Journal of Machine Learning and Cybernetics<\/em>, 16(4):2249\u20132267, 2025<\/li>\n<li><em>(SCI-E) <\/em><u>G. Wang<\/u>, J. Huang, Y. Lai, <strong>C. M. Vong<\/strong>, Dealing with Partial Labels by Knowledge Distillation,<em> Pattern Recognition<\/em>, 158:110965, 2025<\/li>\n<li><em>(SCI-E) <\/em>Z. Jia, Z. Liu, Z. Li, K. Wang, <strong>C. M. Vong<\/strong>, Lightweight Fault Diagnosis via Siamese Network for Few-Shot EHA Circuit Analysis, <em>IEEE Transactions on Aerospace and Electronic Systems<\/em>, 61(6):15585\u201315596, 2025<\/li>\n<li><em>(SCI-E) <\/em><u>J. Huang<\/u>, <strong>C. M. Vong<\/strong>, C. Li, L. Xu, Z. Xu, C. L. P. Chen, C. Chen, HSA-Former: Hierarchical Spatial Aggregation Transformer for EEG-Based Emotion Recognition, <em>IEEE Transactions on Computational Social Systems,<\/em> 12(6):4254\u20134265, 2025<\/li>\n<li><em>(SCI-E) <\/em><u>K. Liu<\/u>, T. Sun, H. Zeng, Y. Zhang, C. Pun, <strong>C. M. Vong<\/strong>, Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification, <em>IEEE Transactions on Circuits and Systems for Video Technology,<\/em> 35(9):8754\u20138766, 2025<\/li>\n<li><u><em>(SCI-E) <\/em>C. Chen<\/u>, Z. Li, K. I. Kou, J. Du, C. Li, H. Wang, <strong>C. M. Vong<\/strong>, Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition, <em>IEEE Transactions on Emerging Topics in Computational Intelligence<\/em>, 9(1):365\u2013380, 2025<\/li>\n<li><em>(SCI-E) <\/em><u>Q. Lai<\/u>, <strong>C. M. Vong<\/strong>, S. Q. Shi, C. L. P. Chen, Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information, <em>IEEE Transactions on Emerging Topics in Computational Intelligence<\/em>, 9(2):1795\u20131804, 2025<\/li>\n<li><u><em>(SCI-E) <\/em><\/u>Y. Sun, <strong>C. M. Vong<\/strong>, S. Wang, Fuzzy Overlapping Modularity Clustering for Symmetric-Tensor Based Graph, <em>IEEE Transactions on Fuzzy Systems<\/em>, 33(10):3557\u20133569, 2025<\/li>\n<li><em>(SCI-E) <\/em><u>J. Huang<\/u>, D. Lin, J. Du, X. Jiang, C. Chen, X. Chen, Y. Zhou, <strong>C. M. Vong<\/strong>, Robust Visual Place Recognition Under Variational Views, <em>IEEE Transactions on Industrial Informatics<\/em>, 21(10):7665\u20137674, 2025<\/li>\n<li><u><em>(SCI-E) <\/em><\/u>Z. Jia, Z. Liu, G. Yao, K. Wang, <strong>C. M. Vong<\/strong>, An Incremental Learning Framework for Mechanical Fault Diagnosis With Bi-Level Multiscale Convolutional Attention, <em>IEEE Transactions on Instrumentation and Measurement<\/em>, 74:1\u201313, 2025<\/li>\n<li><em>(SCI-E) <\/em>J. Du, W. Chen, <strong>C. M. Vong<\/strong>, P. Liu, T. Wang, Context-CAM: Context-Level Weight-Based CAM With Sequential Denoising to Generate High-Quality Class Activation Maps, <em>IEEE Transactions on Image Processing<\/em>, 34:3431\u20133446, 2025<\/li>\n<li><em>(SCI-E) <\/em>J. Sun, Y. Dai, <strong>C. M. Vong<\/strong>, Q. Xu, S. E. Li, J. Q. Wang, L. He, K. Li, OE-BevSeg: An Object-Informed and Environment-Aware Multimodal Framework for Bird\u2019s-Eye-View Vehicle Semantic Segmentation,<em> IEEE Transactions on Intelligent Transportation Systems<\/em>, 26(8):12210\u201312223, 2025<\/li>\n<li><em>(SCI-E) <\/em><u>J. Huang<\/u>, C. Chen, <strong>C. M. Vong<\/strong>, Y. M. Cheung, Broad Multitask Learning System With Group Sparse Regularization, <em>IEEE Transactions on Neural Networks and Learning Systems<\/em>, 36(5):8265\u20138278, 2025<\/li>\n<li><em>(SCI-E) <\/em>Y. Li, E. Zhou, <strong>C. M. Vong<\/strong>, S. Wang, Stacked Ensemble of Extremely Interpretable Takagi\u2013Sugeno\u2013Kang Fuzzy Classifiers for High-Dimensional Data, <em>IEEE Transactions on Systems, Man, and Cybernetics: Systems,<\/em> 55(4):2414\u20132425, 2025<\/li>\n<li><em>(SCI-E) <\/em><u>C. B. Feng<\/u>, Q. Lai, K. Liu, H. Su, H. Chen, K. Luo, <strong>C. M. Vong<\/strong>, Learning Few-Shot Semantic Segmentation with Error-Filtered Segment Anything Model, <em>The Visual Computer<\/em>, 41(10):7351\u20137365, 2025<\/li>\n<\/ol>\n<ul>\n<li><b>2024<\/b><\/li>\n<\/ul>\n<ol>\n<li><em>(SCIE ) <\/em>J. Du, P. Liu, <strong>C. M. Vong<\/strong>, C. Chen, T. Wang, C. L. P. Chen, Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System, IEEE Transactions on Neural Networks and Learning Systems, 35(8):11332\u201311345, 2024<\/li>\n<li><em>(SCIE ) <\/em><u>X. Jiang<\/u>, H. Li, C. Chen, Y. Chen, J. Huang, Z. Zhou, Y. Zhou, <strong>C. M. Vong<\/strong>, DDIO-Mapping: A Fast and Robust Visual\u2013Inertial Odometry for Low-Texture Environment Challenge,<em> IEEE Transactions on Industrial Informatics<\/em>, 20(3):4418\u20134428, 2024<\/li>\n<li><em>(SCIE ) <\/em><u>C. Wong<\/u>, F. Feng, W. Zhang, H. Chen, <strong>C. M. Vong<\/strong>, C. Chen, Billion-Scale Pre-Trained Knowledge Graph Model for Conversational Chatbot, <em>Neurocomputing<\/em>, 606:128353, 2024<\/li>\n<li><em>(SCIE ) <\/em><u>Q. Lai<\/u>, <strong>C. M. Vong<\/strong>, C. Chen, Weakly Supervised Semantic Segmentation via Dual-Stream Contrastive Learning of Cross-Image Contextual Information, <em>IEEE Transactions on Industrial Informatics<\/em>, 20(10), 2024<\/li>\n<li><em>(SCI) <\/em><strong><u>C. M. Vong<\/u><\/strong>, Federated Learning Using Model Projection for Multi-Center Disease Diagnosis with Non-IID Data, <em>Neural Networks<\/em>, 2024<\/li>\n<li><em>(SCI) <\/em><strong><u>C. M. Vong<\/u><\/strong>, Multi-Kernel Partial Label Learning Using Graph Contrast Disambiguation, <em>Applied Intelligence<\/em>, 2024<\/li>\n<\/ol>\n<ul>\n<li><b>2023<\/b><\/li>\n<\/ul>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>Y. Sun,\u00a0<\/u>C.M. Vong, S. Wang. Fast AUC Maximization Learning Machine with Simultaneous Outlier Detection,\u00a0<i>IEEE Transactions on Cybernetics, In Press, 2022<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>J. Huang<\/u>,\u00a0C.M. Vong, P. Chen, Y. Zhou, Accurate and Efficient Large-scale Multi-label Learning with Reduced Feature Broad Learning System using Label Correlation.\u00a0<i>IEEE Transactions on Neural Networks and Learning Systems,\u00a0<\/i>In Press, 2022.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>J. Huang<\/u>, W. Qian,\u00a0C.M. Vong, W. Ding, W. Shu, Q. Huang, Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process.\u00a0<i>IEEE Transactions on Emerging Topics in Computational Intelligence,\u00a0<\/i>Vol. 7(4), 2023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>J. Du<u>,<\/u>\u00a0<u>P. Liu,<\/u>\u00a0C.M. Vong,\u00a0C. Chen, T. Wang, C. Chen. Class Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System.\u00a0<i>IEEE Transactions on Neural Networks and Learning Systems,\u00a0<\/i>In Press, 2023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>Q. Lai<\/u>,\u00a0C.M. Vong, J. Zhou, Y. Zhou, C. Chen, Fast Broad Multiview Multi-Instance Multilabel Learning (FBM3L) with Viewwise Intercorrelation.\u00a0<i>IEEE Transactions on Neural Networks and Learning Systems,\u00a0<\/i>In Press, 2023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>J. Du<u>,<\/u>\u00a0X. Zhang<u>, P. Liu,<\/u>\u00a0C.M. Vong, T. Wang. An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation.\u00a0<i>IEEE Transactions on Neural Networks and Learning Systems,\u00a0<\/i>In Press, 2023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>Q. Lai<\/u>,\u00a0\u00a0<u>J. Zhou, Y. Gan,<\/u> <b>C.M. Vong<\/b>, C. Chen, Single-stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Intercorrelations and Its Applications to Medical Image Classification.\u00a0<i>IEEE Transactions on Emerging Topics in Computational Intelligence,\u00a0<\/i>In Press, 2023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>\u00a0H.\u00a0 Li,<\/u>\u00a0C.M. Vong,\u00a0Z. Wan, Multi-graph Embedding for Partial Label Learning.\u00a0<i>Neural Computing and Applications,\u00a0<\/i>In Press, 2023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>J. Huang<\/u><u>,<\/u>\u00a0\u00a0C.M. Vong, <u>G. Wang<\/u>, W. Qian, Y. Zhou, C. Chen. Joint Label Enhancement and Label Distribution Learning Via Stacked GRaph Regularization-Based Polynomial Fuzzy Broad Learning System.\u00a0<i>IEEE Transactions on Fuzzy Systems, <\/i>Vol. 31(9), 2023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>J. Huang<\/u>,\u00a0C.M. Vong, W. Qian,\u00a0Q. Huang,, Y. Zhou. Online Label Distribution Learning using Random Vector Functional Link Network.\u00a0<i>IEEE Transactions on Emerging Topics in Computational Intelligence,\u00a0<\/i>Vol. 7(4), 2023.<i style=\"color: var( --e-global-color-text );font-weight: var( --e-global-typography-text-font-weight )\"><\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"color: var( --e-global-color-text );font-weight: var( --e-global-typography-text-font-weight )\">(SCI-E)<\/i>\u00a0J.\u00a0Du,\u00a0Y. Zhou, P. Liu,\u00a0C.M. Vong,\u00a0T. Wang.<i>\u00a0Parameter-free loss for class-imbalanced deep learning in image classification,\u00a0<\/i>\u00a0IEEE Transactions on Neural Networks and Learning Systems,\u00a0Vol. 34(6), 3234-3240, 2023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>E. Zhou,\u00a0\u00a0C.M. Vong, Y. Nojima, S. Wang, A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization,\u00a0<i>IEEE Transactions on Fuzzy Systems,\u00a0<\/i>Vol. 31(7),\u00a02023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>\u00a0P. Liu,<\/u>\u00a0J. Du,\u00a0C.M. Vong,.\u00a0A Novel Sequential Structure for Lightweight Multi-scale Feature Learning under Limited Available Images.\u00a0<i>Neural Networks<\/i>, Vol. 164, 2023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E) <\/i>Z. Jia, Z. Liu,\u00a0\u00a0C.M. Vong, S. Wang, Y. Cai. DC-DC Buck Circuit Fault Diagnosis with Insufficient State Data based on Deep Model and Transfer Strategy.\u00a0<i>Expert Systems with Applications,\u00a0<\/i>Vol. 213, 2023.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E) <\/i>H. Yue, Y. Huang,\u00a0C.M. Vong, Y. Jin, Z. Zeng, M. Yu, C. Chen. NRSTRNet: A Novel Network for Noise-Robust Scene Text Recognition.\u00a0<i>International Journal of Computational Intelligence Systems,\u00a0<\/i>Vol. 16(1), 2023.<\/li>\n<\/ol>\n<ul>\n<li><b>2022<\/b><\/li>\n<\/ul>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E) H. Huang<\/i><i>,<\/i> H. Rong, Z. Yang,\u00a0C.M. Vong,\u00a0Recursive Least Mean Dual p-power Solution to the generalization of Evolving Fuzzy System under Multiple Noises,\u00a0<i>Information Sciences,\u00a0<\/i>Vol.609,\u00a02022.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>Q. Lai<\/u>,\u00a0C.M. Vong, P.K. Wong, S. Wang, T. Yan, I.Choi, H. Yu, Multi-scale Multi-instance Joint Learning Broad Network (M3JLBN) for Gastric Intestinal Metaplasia Subtype Classification,\u00a0<i>Knowledge-base Systems,\u00a0<\/i>Vol.249, 2022.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>\u00a0<u>C.C. Wong<\/u>,\u00a0\u00a0C.M. Vong, X. Jiang, Y. Zhou. Feature-based Direct Tracking and Mapping for Real-time Noise-robust Outdoor 3D Reconstruction Using Quadcopters,\u00a0<i>IEEE Transactions on Intelligent Transportation Systems,\u00a0<\/i>Vol. 23 (11),\u00a02022.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E) <\/i>C. Chen,\u00a0\u00a0C.M. Vong,\u00a0S. Wang, H. Wang, M. Pang, Easy Domain Adaptation for Cross-subject Multi-view Emotion Recognition,\u00a0<i>Knowledge-based Systems,\u00a0<\/i>Vol. 239,\u00a02022.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>Z. Yang, H. Rong, P.K. Wong, P. Angelov,\u00a0C.M. Vong, C. Chiu, Z. Yang, A Novel Multiple Feature-based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine,\u00a0\u00a0<i>Cognitive Computation,\u00a0<\/i>Vol. 14(2), 2022.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E) <\/i>Y. Liu,\u00a0J.\u00a0Du,\u00a0C.M. Vong,\u00a0G. Yue, J. Yu, Y. Wang, B. Lei, T. Wang.\u00a0Scale-adaptive Super-Feature based MetricUNet for Brain Tumor Segmentation,\u00a0<i>Biomedical Signal Processing and Control,\u00a0<\/i>Vol.73,\u00a02022.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>R.Xie<\/u>,\u00a0C.M. Vong, P. Chen, S. Wang, Dynamic Network Structure: Doubly Stacking Broad Learning Systems with Residuals and Simpler Linear Model Transmission,\u00a0<i>IEEE Transactions on Emerging Topics in Computational Intelligence <\/i>Vol.6(6), 2022.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>J. Zhong, <u>Y. Gan<\/u>,\u00a0\u00a0C.M. Vong,\u00a0J. Yang, J. Zhao, J. Luo. Effective and Efficient Pixel-level Detection for Diverse Video Copy-Move Forgery Types,\u00a0<i>Pattern Recognition,\u00a0<\/i>Vol. 122,\u00a02022.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E) <\/i><u>Y. Gan<\/u>,\u00a0J. Zhong,\u00a0C.M. Vong, A Novel Copy-Move Forgery Detection Algorithm via Feature Label Matching and Hierarchical Segmentation Filtering, <i>Information Processing &amp; Management <\/i>Vol. 59(1), 2022.<\/li>\n<\/ol>\n<ul>\n<li><b>2021<\/b><\/li>\n<\/ul>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"color: var( --e-global-color-text );font-weight: var( --e-global-typography-text-font-weight )\">(SCI-E)<\/i>\u00a0<u>S. Gu<\/u>,\u00a0\u00a0C.M. Vong,\u00a0P.K. Wong, S.T. Wang.\u00a0Fast Training of Adversarial Deep Fuzzy Classifier by Downsizing Fuzzy Rules with Gradient Guided Learning,\u00a0<i>\u00a0IEEE Transactions on Fuzzy Systems,<\/i> Vol. 30(6), 1967-1980, 2021.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0Z<\/i>. W. Xu, <b>C.M. Vong,<\/b> <u>C.C. Wong<\/u>, Q. Liu,<b> <\/b>Ground Plane Context Aggregation Network for Day-and-Night on Vehicular Pedestrian Detection,<i> IEEE Transactions on<br \/>\nIntelligent Transportation Systems<\/i>, Vol. 22(10), Oct 2021.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>H. Huang,\u00a0H.J. Rong, Z.X.Yang, <b>C.M. Vong,\u00a0<\/b>Jointly evolving and compressing fuzzy system for feature reduction and classification,\u00a0<i>Information Sciences,<br \/>\nVol. 579, pp. 218-230, 2021<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>J.H. Luo<\/u>, <u>Y.F. GAN,<\/u>\u00a0 <b>C.M. Vong,<\/b>\u00a0<u>C.M. Wong<\/u>,\u00a0<u>C. Q. Chen<\/u>,<b> <\/b>Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors,\u00a0<i>Neurocomputing, Vol. 457, pp. 106-116, 2021<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>H.Y. Li,<\/u>\u00a0<b>C.M.Vong,\u00a0<\/b><i>P.K. Wong<\/i>, <i>W.F. Ip<\/i>, <u>T. Yan<\/u>, I.C. Choi, H.H. Yu.<b> <\/b>A Multi-feature Fusion Method for Image Recognition of Gastrointestinal Metaplasia (GIM), Biomedical Signal Processing and Control, Vol. 69, 102909, August 2021.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)<\/i><u> W.S. Gan<\/u>, <i>P.K. Wong<\/i>,\u00a0<u>G.K. Yu<\/u>, <u>R. C. Zhao<\/u>, <b>C.M. Vong,<\/b>\u00a0 Light-weight Network for Real-time Adaptive Stereo Depth Estimation,\u00a0<i>Neurocomputing,Vol. 441, pp. 118-127, 2021<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>J.H. Luo<\/u>,\u00a0 <b>C.M. Vong,<\/b>\u00a0Z.B. Liu, <u>C.Q. Chen<\/u>,<b> <\/b>An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine For Classification,\u00a0<i>IEEE Access, Vol. 9, pp.87543-87551, 2021<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>W. Huang,<\/u> <i>P.K. Wong<\/i>, K.I. Wong, <b>C.M. Vong,<\/b>\u00a0<i>J. Zhao<\/i>,<b> <\/b>Adaptive Neural Control of Vehicle Yaw Stability with Active Front Steering using an Improved Random Projection Neural Network,\u00a0<i>Vehicle System Dynamics, Vol.59(3), pp. 396-414, 2021<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>J.H. Luo<\/u>, <u>C.M. Wong<\/u>,\u00a0 <b>C.M. Vong. <\/b>Multinomial Bayesian Extreme Learning Machine for Sparse and Accurate Classification,\u00a0<i>Neurocomputing, Vol. 423, pp. 24-33, 2021<\/i>.<\/li>\n<\/ol>\n<ul>\n<li><i><b>2020<\/b><\/i><\/li>\n<\/ul>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>J.\u00a0Du,<\/u>\u00a0<b>C.M. Vong, <\/b><i>C.L. Chen<\/i><b>.\u00a0<\/b>Novel Efficient RNN and LSTM-like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification,\u00a0<i>IEEE Transactions on Cybernetics<\/i>, Vol. 51(3), pp. 1586-1597, 2020.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"color: var( --e-global-color-text );font-family: var( --e-global-typography-text-font-family ), Sans-serif;font-size: 18px;font-weight: var( --e-global-typography-text-font-weight )\">(SCI-E)<\/i>\u00a0<u>Z. Bian<\/u>,\u00a0\u00a0C.M. Vong,\u00a0<i>P.K. Wong<\/i><i style=\"color: var( --e-global-color-text );font-weight: var( --e-global-typography-text-font-weight );font-size: 10pt\">, S.T. Wang. Fuzzy KNN Method with Adaptive Nearest Neighbors. IEEE Transactions on Cybernetics, Vol. 52(6), 2020.<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0<i style=\"color: var( --e-global-color-text );font-family: var( --e-global-typography-text-font-family ), Sans-serif;font-weight: var( --e-global-typography-text-font-weight )\">(SCI-E)\u00a0<\/i>Z. Jia, Z.B. Liu,\u00a0\u00a0<u>Y.F. Gan<\/u>,\u00a0C.M. Vong,\u00a0M. Pecht,\u00a0A Deep Forest based Fault Diagnosis Scheme for Electronics-Rich Analog Circuit Systems,\u00a0<i>IEEE Transactions on\u00a0<\/i><i style=\"font-family: Roboto;font-size: 10pt;color: var( --e-global-color-text );font-weight: var( --e-global-typography-text-font-weight )\">Industrial Electronics, <\/i>Vol. 68(10), 2020.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>\u00a0<u>T. Yan,<\/u><b>\u00a0<\/b><i>P.K. Wong<\/i>, I.C. Choi, <b>C.M. Vong, <\/b>H.H. Yu.<b> <\/b>Intelligent Diagnosis of Gastric Intestinal Metaplasia based on Convolutional Neural Network and limited number of endoscopic images, Computers in Biology and Medicine, Vol. 126, 104026, 2020.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>H. Lin, J. Zhou,\u00a0 <b>C.M. Vong,<\/b> Q. Liu,<b> <\/b>Novel Up-scale Feature Aggregation for Object Detection in Aerial Images,\u00a0<i>Neurocomputing, Vol. 441, pp. 364-374, 2020<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>F. Wang, Z. Xu, <u>Y.F. Gan<\/u>, <b>C.M. Vong,<\/b> Q. Liu,<b> <\/b>SCNet: Scale-aware Coupling-Structure Network for Efficient Video Object Detection,\u00a0<i>Neurocomputing, Vol. 404, pp. 283-293, 2020<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0P.K. Wong<\/i>, <u>W. Huang<\/u>, <b>C.M. Vong,<\/b>\u00a0<i>Z.X.Yang<\/i>, Adaptive Neural Tracking Control for Automotive Engine Idle Speed Regulation using Extreme Learning Machine. Neural Computing and Applications, Vol. 32(18), pp. 14399-14009, 2020.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>F. Wu, <b>C.M. Vong,<\/b> Q. Liu, Tracking Objects with Partial Occlusion by Background Alignment,\u00a0<i>Neurocomputing, Vol. 402, pp. 1-13, 2020<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b> C.M. Vong,\u00a0<\/b><u>J.\u00a0Du. <\/u>Accurate and Efficient Sequential Ensemble Learning for Highly Imbalanced Multi-class Data, Neural Networks, Vol. 128, pp. 268-278, 2020.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>C.Q. Chen<\/u>, <b>C.M. Vong,<\/b>\u00a0<i>P.K.Wong<\/i>,\u00a0<u>K.I. Tai,<\/u><b> <\/b>Approximate Empirical Kernel Map-based Iterative Extreme Learning Machine for Clustering. Neural Computing and Applications, Vol. 32(12), pp. 8031-8046, 2020.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>C.Q. Chen<\/u>, <u>Y.F. Gan<\/u>,\u00a0<b>C.M. Vong. <\/b>Extreme Semi-Supervised Learning for Multi-class Classification. Neurocomputing, Vol. 376, pp. 103-118, 2020.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>W.R. Wang<\/u>, <u>Y.F. Gan<\/u>,\u00a0<b>C.M. Vong,<\/b>\u00a0<b> <\/b><u>C.Q. Chen,<\/u><b> <\/b>Homo-ELM: Fully Homomorphic Extreme Learning Machine. International Journal of Machine Learning and Cybernetics, Vol. 11, pp. 1531-1540, 2020.<\/li>\n<\/ol>\n<ul>\n<li><b style=\"font-family: Roboto;font-size: 10pt\">2019<\/b><\/li>\n<\/ul>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>Han, Z., Liu, Z., Han, J.,\u00a0<b>Vong, C.M.<\/b>, Bu, S.,\u00a0<i>Chen, CLP<\/i>, Unsupervised Learning 3D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy,\u00a0<i>IEEE Transactions on Cybernetics<\/i>, Vol. 49(2), pp.481-494, 2019.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>J.\u00a0Du,<\/u>\u00a0<b>C.M. Vong,\u00a0<\/b><u>C.Q. Chen<\/u>, <u>P. Liu<\/u>, Z.B. Liu. Supervised Extreme Learning Machine based Auto-encoder for Discriminative Feature Learning. IEEE Access, Vol. 8, pp. 11700-11709, 2019.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)<\/i> J. Zhou, <b>C.M. Vong,<\/b> Q. Liu, Z. Wang. Scale Adaptive Image Cropping for UAV Object Detection,\u00a0<i>Neurocomputing,Vol. 366, pp. 305-313, 2019<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>C.C. Wong<\/u>, <u>Y.F. Gan<\/u>,\u00a0<b>C.M. Vong. <\/b>Efficient Outdoor Video Semantic Segmentation Using Feedback-based Fully Convolution Neural Network. IEEE Transactions on Industrial Informatics<i>, Vol.16(8), pp. 5128-5136, 2019<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E) P.K. Wong<\/i>, <u>X.H. Gao<\/u>, <u>K.I. Wong<\/u>,\u00a0<b>C.M. Vong,<\/b>\u00a0Z.X. Yang.<b> <\/b>Initial-training-free Online Sequential Extreme Learning Machine based Adaptive Engine Air-fuel Ration Control. International Journal of Machine Learning and Cybernetics, Vol. 10(9), pp. 2245-2259, 2019.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0Z. Han, <\/i><b>C.M. Vong. <\/b>Efficient Outdoor Video Semantic Segmentation Using Feedback-based Fully Convolution Neural Network. IEEE Transactions on Industrial Informatics<i>, Vol.16(8), pp. 5128-5136, 2019<\/i>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>J.\u00a0Du,<\/u>\u00a0<b>C.M. Vong<\/b>. Robust Online Multi-Label Learning under Dynamic Changes in Data Distribution with Labels,\u00a0<i>IEEE Transactions on Cybernetics<\/i>, Vol. 50(1), pp. 374-385, 2019.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>Z. Han, H. Lu, Z. Liu,\u00a0<b>C.M.<\/b>\u00a0<b>Vong,\u00a0<\/b>Y.S. Liu, J. Han,\u00a0<i>C.L.P. Chen,<\/i>, SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN with Attention,\u00a0<i>IEEE Transactions on Image Processing<\/i>, Vol. 28(8), pp. 3986-3999, 2019.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i>Z. Jia, Z. Liu,\u00a0<b>C.M.<\/b>\u00a0<b>Vong,\u00a0<\/b>M. Pecht. A Rotating Machinery Fault Diagnosis Method based on Feature Learning of Thermal Images.\u00a0<i>IEEE Access, <\/i>Vol.7, pp. 12348-12359, 2019.<\/li>\n<\/ol>\n<ul>\n<li><b style=\"font-family: Roboto;font-size: 10pt\">2018<\/b><\/li>\n<\/ul>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong, C.M.<\/b>,\u00a0<u>Du Jie,<\/u>\u00a0<u>Wong, C.M.<\/u>, Cao, J., Postboosting using Extended G-mean for Online Sequential Multiclass Imbalance Learning,\u00a0<i>IEEE Transactions on Neural Networks and Learning Systems<\/i>, Vol. 29(12), pp. 6163-6177, 2018.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">(SCI-E)\u00a0<\/i><b style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">Vong, C.M.<\/b>,\u00a0<u>Chen, C. Q.<\/u>,\u00a0<i>Wong, P.K.<\/i>, Empirical Kernel Map-Based Multilayer Extreme Learning Machines for Representation Learning,<i>\u00a0Neurocomputing<\/i>, Vol. 310, pp. 265-276, 2018.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">(SCI-E)\u00a0<\/i>J.W Cao, T.L.Wang, L.M. Shang, X. Lai,\u00a0<b>C.M. Vong<\/b>, B. Chen, An Intelligent Propagation Distance Estimation Algorithm Based on Fundamental Frequency Energy Distribution for Periodic Vibration Localization, Journal of Franklin Institute, Vol. 355(4), pp.1539-1558, 2018.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">(SCI-E)<\/i>\u00a0Z. Liu, Z. Jia,\u00a0<b>C.M. Vong<\/b>, J. Han, C. Yan, M. Pecht, A Patent Analysis of Prognostics and Health Management (PHM) Innovations for Electrical Systems,\u00a0<i>IEEE Access<\/i>, Vol. 6, pp. 18088-18107, 2018.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">(SCI-E)\u00a0<\/i>P. Zhu, Y. Chun, Y. Cheng, X. Huang, J.W. Cao,\u00a0<b>C.M. Vong<\/b>,\u00a0<i>P.K. Wong<\/i>, An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography,\u00a0<i>Mechanical Systems and Signal Processing<\/i>, Vol. 113, pp. 5-21, December 2018.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">\u00a0<i style=\"text-align: justify;text-indent: -18pt\">(SCI-E)\u00a0<\/i>J.W Cao, T.L.Wang, L.M. Shang, J.Z. Wang,\u00a0<b>C.M. Vong<\/b>, C. Yin, X.G. Huang, A Novel Distance Estimation Algorithm for Periodic Surface Vibrations based on Frequency Band Energy Percentage Feature, Mechanical Systems and Signal Processing, Vol. 113, pp.222-236, December 2018.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">(SCI-E)\u00a0<\/i><u style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">Chen, C. Q.<\/u>,\u00a0<b>Vong, C.M.<\/b>,\u00a0<u>Wong, C.M.<\/u>,\u00a0<u>Wang, W.<\/u>,\u00a0<i>Wong, P.K.<\/i>, Efficient Extreme Learning Machine via Very Sparse Random Projection,\u00a0<i>Soft Computing<\/i>, Vol. 22(11), pp. 3563-3574, June 2018.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">(SCI-E)\u00a0<\/i><u style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">Wong, C.M<\/u>,\u00a0<b>Vong, C.M<\/b>.,\u00a0<i>Wong, P.K.<\/i>, Cao, J. Kernel-based Multilayer Extreme Learning Machines for Representation Learning,\u00a0<i>IEEE Transactions on Neural Networks and Learning Systems,\u00a0<\/i>Vol. 29 (3), pp. 757-762, Mar, 2018.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">(SCI-E)\u00a0<\/i>Han, Z., Liu, Z.,\u00a0<b>Vong, C.M.<\/b>, Liu, Y., Bu, S., Han, J.,\u00a0<i>Chen, CLP<\/i>, Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax,\u00a0<i>IEEE Transactions on Image Processing<\/i>, Vol. 27(6), pp. 3049-3063, March 2018.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">(SCI-E)\u00a0Wong, P.K.<\/i>,\u00a0<u>Gao, X. H.<\/u>,\u00a0<u>Wong, K.I.<\/u>,\u00a0<b>Vong, C.M.<\/b>, Efficient Point-by-point Engine Calibration using Machine Learning and Sequential Design of Experiment Strategies,\u00a0<i>Journal of the Franklin Institute,\u00a0<\/i>Vol. 355(4), pp. 1517-1538, March 2018.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;font-family: Roboto;font-size: 13.3333px\">(SCI-E)\u00a0Wong, P.K.,<\/i>\u00a0<u>Gao, X.H.<\/u>,\u00a0<u>Wong K.I.<\/u>,\u00a0<b>Vong, C.M.<\/b>, Online Extreme Learning Machine based Modeling and Optimization for Point-by-point Engine Calibration,\u00a0<i>Neurocomputing<\/i>, Vol. 227, pp. 187-197, February, 2018.<\/li>\n<\/ol>\n<ul>\n<li><b style=\"font-family: Roboto;font-size: 10pt;text-align: justify\">2017<\/b><\/li>\n<\/ul>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><u style=\"text-indent: -18pt\">(SCI-E) Du, J.<\/u>,\u00a0<b>Vong, C.M.<\/b>,\u00a0<i>Pun, C.M., Wong, P.K., Ip, W.F<\/i>., Post-boosting of\u00a0classification boundary for imbalanced data using geometric mean,\u00a0<i style=\"font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Neural\u00a0<\/i><i style=\"font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Networks<\/i>, Vol. 96, pp. 101-114, Dec, 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;text-indent: -18pt\">(SCI-E)\u00a0<\/i><b style=\"text-align: justify;text-indent: -18pt\">Vong,\u00a0<\/b><b style=\"text-align: justify;text-indent: -18pt\">C.M.<\/b>,\u00a0<u>Liu, Y.<\/u>, Cao, J., Yin, C. Cascaded Re-ranking\u00a0Modelling of Translation Hypotheses using Extreme Learning Machines,\u00a0<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Applied\u00a0<\/i><i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Soft Computing<\/i>, Vol. 58, pp. 681-689, Sept 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;text-indent: -18pt\">(SCI-E)\u00a0<\/i><u style=\"text-align: justify;text-indent: -18pt\">Liu, Y.<\/u>,\u00a0<b>Vong,\u00a0<\/b><b style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">C.M.<\/b>,\u00a0<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Wong, P.K.<\/i>\u00a0Extreme Learning Machine for Huge\u00a0Hypotheses Re-ranking in Statistical Machine Translation,\u00a0<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Cognitive\u00a0<\/i><i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Computation<\/i>, Vol. 9(2), pp. 285-294, 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;text-indent: -18pt\">(SCI-E)\u00a0<\/i>Liu,\u00a0Z., Jia, Z.,\u00a0<b style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Vong, C.M.<\/b>, Bu, S. Han, J., Tang, X., Capturing High\u00a0Discriminative Fault Features for Electronics-rich Analog System via DeepLearning,<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">\u00a0IEEE Transactions on Industrial Informatics<\/i>, Vol. 13(3),\u00a0pp. 1213-1226, 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;text-indent: -18pt\">(SCI-E)\u00a0<\/i>Han,\u00a0Z., Liu, Z., Han, J.,\u00a0<b style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Vong, C.M.<\/b>, Bu, S.,<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">\u00a0Chen, CLP<\/i>,\u00a0Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of\u00a0Features with Structure Preservation on 3D Meshes,\u00a0<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">IEEE Transactions on\u00a0<\/i><i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Neural Networks and Learning Systems<\/i>, Vol. 28 (10), pp. 2268-2281, 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;text-indent: -18pt\">(SCI-E)\u00a0<\/i>Han,\u00a0Z., Liu, Z.,\u00a0<b style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Vong, C.M.<\/b>, Liu, Y., Bu, S., Han, J.,\u00a0<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Chen,\u00a0<\/i><i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">CLP,<\/i>\u00a0BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced\u00a03D Shape Representation,\u00a0<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">IEEE Transactions on Image Processing<\/i>,\u00a0Vol. 26(8), pp.3707-3720, 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;text-indent: -18pt\">(SCI-E)\u00a0Wong,\u00a0<\/i><i style=\"text-align: justify;text-indent: -18pt\">AHH<\/i>,\u00a0<i>Li, HR, Jia, YW, Mak, PI, Martins, RPD,<\/i>\u00a0<u>Liu,\u00a0<\/u><u style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Y,<\/u>\u00a0<b style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Vong, C.M.<\/b>, et. al., Drug Screening of Cancer Cell Lines and\u00a0Human Primary Tumors using Droplet Microfluidics,\u00a0<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Scientific Reports<\/i>,\u00a0Vol. 7, DOI: 10.1038\/s41598-017-08831-z, 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;text-indent: -18pt\">(SCI-E)\u00a0<\/i><u style=\"text-align: justify;text-indent: -18pt\">Wang,\u00a0<\/u><u style=\"text-align: justify;text-indent: -18pt\">W.<\/u>,\u00a0<b>Vong, C.M.<\/b>,\u00a0<u>Yang Y.<\/u>,\u00a0<i>Wong P.K.<\/i>,\u00a0Encrypted Image Classification based on Multilayer Extreme Learning,\u00a0<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Multidimensional\u00a0<\/i><i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Systems and Signal Processing<\/i>, Vol. 28(3), pp. 851-865, 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-align: justify;text-indent: -18pt\">(SCI-E)\u00a0<\/i>Rong,\u00a0H., Yang, Z.,\u00a0<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Wong, P.K.,<\/i>\u00a0<b style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Vong, C.M.<\/b>\u00a0Adaptive\u00a0self-learning fuzzy autopilot design for uncertain bank-to-turn missiles,\u00a0<i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Journal\u00a0<\/i><i style=\"text-align: justify;font-family: Roboto;font-size: 10pt;text-indent: -18pt\">of Dynamic Systems, Measurement, and Control<\/i>, Vol. 139(4), DOI:10.1115\/1.4035091, 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-indent: -18pt;text-align: justify\">(SCI-E)\u00a0<\/i>Rong,<br \/>\nH., Yang, Z.,\u00a0<i>Wong, P.K.<\/i>,\u00a0<b>Vong, C.M.<\/b>, Zhao, G. A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems,\u00a0<i>Neurocomputing<\/i>, Vol. 230, pp. 332-344, 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-indent: -18pt;text-align: justify\">(SCI-E)\u00a0<\/i>Rong, H., Yang, Z.,\u00a0<i>Wong, P.K.<\/i>,\u00a0<b>Vong, C.M.<\/b>, Zhao, G. Self-evolving fuzzy model-based controller with online structure and parameter learning for hypersonic vehicle,\u00a0<i>Aerospace Science and Technology<\/i>, Vol. 64 (5), pp. 1-15, 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-indent: -18pt;text-align: justify\">(SCI-E)\u00a0Wong, P.K.<\/i>,<u>\u00a0Zhong, J.H.<\/u>,\u00a0<i>Yang, Z.X.<\/i>,\u00a0<b>Vong, C.M.<\/b>, A New Framework for Intelligent Simultaneous-fault Diagnosis of Rotating Machinery using Pairwise-coupled sparse Bayesian Extreme Learning Committee Machine,\u00a0<i>Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science<\/i>, Vol. 231(6), pp. 1146-1161, 2017.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-indent: -18pt;text-align: justify\">(SCI-E)\u00a0<\/i><u style=\"text-indent: -18pt;text-align: justify\">Lin C.<\/u>,\u00a0<i>Pun, C.M.<\/i>,\u00a0<b>Vong, C.M.<\/b>, Adjeroh, D., Efficient Shape Classification using Region Descriptors,\u00a0<i>Multimedia Tools and Applications\u00a0(SCI-E)<\/i>, Vol. 76(1), pp. 83-102, 2017.<\/li>\n<\/ol>\n<ul>\n<li>2016<\/li>\n<\/ul>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-indent: -18pt\">(SCI-E)\u00a0<\/i>Cao, J., Hao, J., Lai, X.,\u00a0<b>Vong, C.M.<\/b>, Luo, M., Ensemble Extreme Learning Machine and Sparse Representation Classification,\u00a0<i>Journal of the Franklin Institute (SCI-E)<\/i>, Vol. 353 (17), pp. 4526-4541, 2016.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-indent: -18pt\">(SCI-E)\u00a0<\/i>Han, Z., Liu, Z., Han, J.,\u00a0<b>Vong, C.M.<\/b>, Bu, S., Li, X. Unsupervised 3D local Feature Learning by Circle Convolutional Restricted Boltzmann Machine,\u00a0<i>IEEE Transactions on Image Processing<\/i>, Vol. 25(11), pp. 5331-5344, 2016.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-indent: -18pt\">(SCI-E)\u00a0Wong, P.K.<\/i>,\u00a0<u>Wong, H.C.<\/u>,\u00a0<b>Vong, C.M.<\/b>,\u00a0<u>Wong, K. I.<\/u>, Online Wavelet Least-Squares Support Vector Machine Fuzzy Predictive Control for Engine Lambda Regulation,\u00a0<i>International Journal of Engine Research,\u00a0<\/i>Vol. 17(8), pp. 866-885, 2016.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-indent: -18pt\">(SCI-E)\u00a0Wong, P.K.<\/i>,\u00a0<u>Gao, X.H.<\/u>,\u00a0<u>Wong, K.I.<\/u>,\u00a0<b>Vong, C.M.<\/b>, An Analytic Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias,\u00a0<i>Cognitive Computation<\/i>, Vol.<br \/>\n8(4), pp. 746-756, 2016.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-indent: -18pt\">(SCI-E)\u00a0<\/i><u style=\"text-indent: -18pt\">Gao, X.<\/u>,\u00a0<u>Wong, K.I.<\/u>,\u00a0<i>Wong, P.K.<\/i>,\u00a0<b>Vong, C.M.<\/b>, Adaptive Control of Rapidly Time-varying Discrete-time System using Initial-Training-Free Online Extreme Learning Machine,\u00a0<i>Neurocomputing<\/i>, Vol. 194, pp. 117-125, 2016.<\/li>\n<\/ol>\n<ul>\n<li><b style=\"font-family: Roboto;font-size: 10pt;text-indent: -18pt\">2015<\/b><\/li>\n<\/ul>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"text-indent: -18pt\">(SCI-E)\u00a0Wong, P.K.<\/i>,\u00a0<u>Zhong, J.H.<\/u>,\u00a0<i>Yang, Z.X.,<\/i>\u00a0<b>Vong, C.M.<\/b>, Sparse Bayesian Extreme Learning Committee Machine for Engine Simultaneous Fault Diagnosis.\u00a0<i>Neurocomputing<\/i>, Vol. 174, pp.<br \/>\n331-343, 2016<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt;text-indent: -18pt\">(SCI-E)\u00a0Wong, P. K.,<\/i>\u00a0<b>Vong, C. M.<\/b>,\u00a0<u>Wong, K. I.<\/u>,\u00a0<u>Ma, Z. Q.<\/u>\u00a0Development of a wireless inspection and notification system with minimum monitoring hardware for real-time vehicle engine health inspection.\u00a0<i>Transportation Research Part C<\/i>, Vol. 58. pp. 29-45, 2015.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt;text-indent: -18pt\">(SCI-E)\u00a0<\/i><b style=\"font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Vong, C.M.<\/b>,\u00a0<i>Ip, W.F., Wong, P.K.<\/i>, Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine.\u00a0<i>Cognitive Computation<\/i>, 7(3), pp.381-391, 2015.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt;text-indent: -18pt\">(SCI-E)\u00a0<\/i><b style=\"font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Vong, C.M.<\/b>,\u00a0<u>Tai, K.I.<\/u>,\u00a0<i>Pun, C.M.<\/i>,\u00a0<i>Wong, P.K.<\/i>, Fast and Accurate Face Detection by Sparse Bayesian Extreme Learning Machine.\u00a0<i>Neural Computing and Applications<\/i>, 26(5). pp. 1149-1156, 2015.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt;text-indent: -18pt\">(SCI-E)\u00a0<\/i><u style=\"font-family: Roboto;font-size: 10pt;text-indent: -18pt\">Wong, K.I.<\/u>,\u00a0<i>Wong, P.K.<\/i>, Cheung, C.S.,\u00a0<b>Vong, C.M.<\/b>, Modeling and Optimization of Biodiesel Engine Performance using Kernel-based Extreme Learning Machine and Cuckoo Search.\u00a0<i>Renewable Energy<\/i>, Vol. 74, pp.640-647, 2015.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt;text-indent: -18pt\">(SCI-E)\u00a0Wong, P.K.,<\/i>\u00a0<u>Wong, H.C.<\/u>,\u00a0<b>Vong, C.M.<\/b>,\u00a0<u>Iong, T.M.<\/u>,\u00a0<u>Wong, K.I.,<\/u>\u00a0<u>Gao, X.H.<\/u>, Fault Tolerance Automotive Air-Ratio Control using Extreme Learning Machine Model Predictive Controller.\u00a0<i>Mathematical Problems in Engineering<\/i>, Volume 2015, Article ID 317142, 10 pages. DOI:10.1155\/2015\/317142.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-size: 10pt;text-indent: -18pt\">(SCI-E)\u00a0<\/i>Huang, G.B., Bai, Z., Kasun, L.L.C.,\u00a0<b>Vong, C.M.<\/b>, Local Receptive Fields Based Extreme Learning Machine.\u00a0<i>IEEE Computational Intelligence Magazine<\/i>, Vol. 10(2). pp. 18-29, 2015.<\/li>\n<\/ol>\n<ul>\n<li><b>2014<\/b><\/li>\n<\/ul>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>Luo, J.H.<\/u>,\u00a0<b>Vong, C.M.<\/b>,\u00a0<i>Wong, P.K.<\/i>\u00a0Sparse Bayesian Extreme Learning Machine for Multi-classification.\u00a0<i>IEEE Transactions on Neural Networks and Learning Systems<\/i>, Vol. 25(4), pp. 836 \u2013 843, 2014.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong, C.M.<\/b>,\u00a0<i>Wong, P.K.,<\/i>\u00a0Simultaneous-fault Detection based on Qualitative Symptom Descriptions for Automotive Engine Diagnosis.\u00a0<i>Applied Soft Computing<\/i>, Vol. 13, pp. 4428-4441.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt\">(SCI-E)\u00a0<\/i><u style=\"font-family: Roboto;font-size: 10pt\">Fu, H.<\/u>,\u00a0<b>Vong, C.M.<\/b>,\u00a0<i>Wong, P.K., Yang, Z.X.<\/i>\u00a0Fast Detection of Impact Location using Kernel Extreme Learning Machine.\u00a0<i>Neural Computing and Applications, Vol. 27(1), pp. 121-130, 2016.<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt\">(SCI-E)\u00a0Wong, P.K.,<\/i>\u00a0<u>Wong, H.C.,<\/u>\u00a0<b>Vong, C.M.<\/b>,\u00a0<i>Xie, Z.C.<\/i>,\u00a0<u>Huang, S.<\/u>, Model Predictive Engine Air-ratio Control using Online Sequential Extreme Learning.\u00a0<i>Neural Computing and Applications,<\/i>\u00a0<i>Vol. 27(1), pp. 79-92, 2016<\/i>7.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt\">(SCI-E)\u00a0<\/i><b style=\"font-family: Roboto;font-size: 10pt\">Vong, C.M.<\/b>,\u00a0<i>Ip, W.F., Wong, P.K.,\u00a0<\/i>Variation-oriented Data Filtering for Improvement in Model Complexity of Air Pollutant Prediction Model.\u00a0<i>Mathematical Problems in Engineering<\/i>, Volume 2014, Article ID 310478, 13 pages. DOI:10.1155\/2014\/310478.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt\">(SCI-E)\u00a0Wong, P.K.,<\/i>\u00a0<b>Vong, C.M.<\/b>,\u00a0<u>Gao, X.H.<\/u>,\u00a0<u>Wong, K.I.,<\/u>\u00a0Adaptive Control using Fully Online Sequential Extreme Learning Machine and a Case Study on Engine Air-Fuel Ratio Regulation.\u00a0<i>Mathematical Problems in Engineering<\/i>, Volume 2014, Article ID 246964, 11 pages. DOI:10.1155\/2014\/246964.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt\">(SCI-E)\u00a0<\/i><u style=\"font-family: Roboto;font-size: 10pt\">Wong, K.I.<\/u>,\u00a0<b>Vong, C.M.<\/b>,\u00a0<i>Wong, P.K.<\/i>,\u00a0<u>Luo, J.H.<\/u>, Sparse Bayesian Extreme Learning Machine and its Application to Biofuel Engine Performance.\u00a0<i>Neurocomputing,\u00a0<\/i>Vol.149, September, pp. 397-404, 2014.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt\">(SCI-E)\u00a0<\/i><b>Vong, C. M.,\u00a0<\/b><i>Ip, W. F., Wong, P. K.,<\/i>\u00a0&amp;\u00a0<u>Chiu, C. C.<\/u>\u00a0Predicting minority class for suspended particulate matters level by extreme learning machine.\u00a0<i>Neurocomputing<\/i>, Vol. 128, March,<br \/>\npp. 136-144, 2014.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt\">(SCI-E)\u00a0Wong, P.K.<\/i>,\u00a0<i>Yang, Z.X.<\/i>,\u00a0<b>Vong, C.M.<\/b>,\u00a0<u>Zhong, J.H.<\/u>, Real-Time Fault Diagnosis for Gas Turbine Generator Systems by using Extreme Learning Machine.\u00a0<i>Neurocomputing<\/i>, Vol. 128, March, pp. 249-257, 2014.<\/li>\n<\/ol>\n<ul>\n<li><b style=\"font-family: Roboto;font-size: 10pt\">2013 and before.<\/b><\/li>\n<\/ul>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt\">(SCI-E)\u00a0<\/i>Cambria, E., Huang, G.B., Kasun, L.L.C., Zhou, H.M.,\u00a0<b>Vong, C.M.<\/b>, et. al., Extreme Learning Machines [Trends &amp; Controversies].\u00a0<i>IEEE Intelligent Systems<\/i>, Vol. 28(No. 6), pp. 31-59, 2013.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0Wong, P. K.<\/i>,\u00a0<b>Vong,C. M.<\/b>, Cheung, C. S. &amp;\u00a0<u>Wong, K. I.<\/u>\u00a0Diesel engine modelling using extreme learning machine under scarce and exponential data sets.\u00a0<i>International Journal of Uncertainty, Fuzziness and Knowledge-based Systems<\/i>, Vol. 21 (No. Suppl. 2), pp. 87-98, December, 2013<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>Wong,\u00a0<\/u><u>K.I.,<\/u>\u00a0<i>Wong, P.K.,<\/i>\u00a0Cheung, C.S.,\u00a0<b>Vong, C.M.<\/b>\u00a0\u00a0Modelling of Diesel Engine Performance using Advanced Machine Learning Methods under Scarce and Exponential Data Set,\u00a0<i style=\"font-family: Roboto;font-size: 10pt\">Applied Soft Computing<\/i>, Vol.<i style=\"font-family: Roboto;font-size: 10pt\">13(No.11), pp.4428-4441, 2013.<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i style=\"font-family: Roboto;font-size: 10pt\">(SCI-E)\u00a0Yang, Z.X.,\u00a0<\/i><i style=\"font-family: Roboto;font-size: 10pt\">Wong, P. K.,\u00a0<\/i><b style=\"font-family: Roboto;font-size: 10pt\">Vong, C.M.<\/b>\u00a0\u00a0<u>Zhong,\u00a0<\/u><u style=\"font-size: 10pt\">J.H.<\/u>,\u00a0<u style=\"font-size: 10pt\">Liang, J.J.Y.<\/u>\u00a0Simultaneous-fault Diagnosis of Gas\u00a0Turbine Generator Systems using a Pairwise-coupled Probabilistic Classifier,\u00a0<i style=\"font-size: 10pt\">Mathematical Problems in Engineering,\u00a0<\/i>Vol. 2013,\u00a0Article ID 827128, 14 pages, 2013,\u00a0<a href=\"http:\/\/dx.doi.org\/10.1155\/2013\/827128\" target=\"_blank\" rel=\"noopener\">http:\/\/dx.doi.org\/10.1155\/2013\/827128<\/a><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong,\u00a0<\/b><b>C.M.<\/b>\u00a0\u00a0<i>Wong, P. K., Ip, W.F.<\/i>,\u00a0<u>Chiu, C.C.<\/u>\u00a0Simultaneous\u00a0Fault Diagnosis of Automotive Engine Ignition Systems using Prior Domain Knowledge and Relevance Vector Machine,\u00a0<i style=\"font-size: 10pt\">Mathematical Problems in\u00a0<\/i><i>Engineering,\u00a0<\/i>Vol. 2013, Article ID 974862, 19 pages, 2013,\u00a0<a href=\"http:\/\/dx.doi.org\/10.1155\/2013\/974862\" target=\"_blank\" rel=\"noopener\">http:\/\/dx.doi.org\/10.1155\/2013\/974862<\/a>.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><u>Wong,\u00a0<\/u><u>K.I.,<\/u>\u00a0<i>Wong, P. K.<\/i>, Cheung , C.S.,\u00a0<b>Vong, C.M.<\/b>\u00a0\u00a0,\u00a0Modelling and Optimization of Biodiesel Engine Performance using Advanced Machine Learning Methods,\u00a0<i style=\"font-size: 10pt\">Energy<\/i>, Vol. 55, June, pp. 519-528, 2013.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong,\u00a0<\/b><b>C. M.,\u00a0<\/b><i>Wong, P. K., \u00a0Ip, W. F.<\/i>\u00a0A new framework of\u00a0simultaneous-fault diagnosis using pairwise probabilistic multi-label classification for time-dependent patterns.\u00a0<i style=\"font-size: 10pt\">IEEE Transactions on\u00a0<\/i><i style=\"font-size: 10pt\">Industrial Electronics.\u00a0<\/i>Vol. 60(No. 8), pp. 3372-3385, 2013.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(EI) Wong, P.K.,\u00a0<\/i><b>Vong,\u00a0<\/b><b>C.M<\/b>.,<i>\u00a0Ip, W.F.,<\/i>\u00a0<u>Wong, H.C.<\/u>\u00a0(2012)\u00a0Flexibility study on telemetric vehicle emission examination.\u00a0<i style=\"font-size: 10pt\">International<\/i>\u00a0<i style=\"font-size: 10pt\">Journal\u00a0<\/i><i style=\"font-size: 10pt\">of Satellite Communications Policy and Management.<\/i>\u00a0Vol.1(No. 2-3), pp.\u00a0220-229.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0Yang, Z.X.,\u00a0<\/i><i>Wong, P.K.,<\/i>\u00a0<b>Vong, C.M.<\/b>, and Lo, K.M. (2012) Constraint based\u00a0Adaptive Shape Deformation Technology for Customized Product Development,\u00a0<i style=\"font-size: 10pt\">International\u00a0<\/i><i style=\"font-size: 10pt\">Journal of Materials &amp; Product Technology<\/i>. Vol. 44(No. 1-2), pp. 1-16,\u00a02012.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(EI)<\/i>\u00a0<u>Wong,\u00a0<\/u><u style=\"font-size: 10pt\">H.C.<\/u><i style=\"font-size: 10pt\">, Wong, P.K.<\/i>\u00a0and\u00a0<b style=\"font-size: 10pt\">Vong, C.M.\u00a0<\/b>(2012) Model\u00a0Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine,\u00a0<i style=\"font-size: 10pt\">Journal of Control Science and Engineering<\/i>, Article ID\u00a0731825, 15 pages, 2012. DOI: 10.1155\/2012\/731825.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(EI)\u00a0<\/i><b>Vong,\u00a0<\/b><b>C.M.<\/b>,\u00a0<i>Ip, W.F., Wong, P.K.,<\/i>\u00a0<u>Yang J.Y.<\/u>\u00a0(2012)\u00a0Air Quality Modelling using Support Vector Machines,\u00a0<i style=\"font-size: 10pt\">Journal of Control\u00a0<\/i><i style=\"font-size: 10pt\">Science and Engineering<\/i>, Article ID 518032, 11 pages, 2012. DOI:\u00a010.1155\/2012\/518032.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0Wong,\u00a0<\/i><i>P.K.,\u00a0<\/i><u>Wong, H.C.,\u00a0<\/u><b>Vong, C.M.<\/b>\u00a0(2012)\u00a0Online time-sequence incremental and decremental least squares support vector Machines for Engine Air-ratio Prediction,\u00a0<i style=\"font-size: 10pt\">International<\/i>\u00a0<i style=\"font-size: 10pt\">Journal\u00a0<\/i><i style=\"font-size: 10pt\">of Engine Research, Vol. 13(No. 1), pp. 28-40.<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0Wong, P. K.,\u00a0<\/i><i>Xu, Q. S.,<\/i>\u00a0<b>Vong, C. M.<\/b>, &amp;\u00a0<i>Wong, H. C.<\/i>\u00a0(2012)\u00a0Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine.\u00a0<i style=\"font-size: 10pt\">IEEE Transactions\u00a0<\/i><i style=\"font-size: 10pt\">on Industrial Electronics, Vol. 59(No. 4), pp. 1988-2001.\u00a0<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong,\u00a0<\/b><b>C.M.<\/b>,\u00a0<i>Wong, P.K., Ip, W. I.\u00a0<\/i>(2011). Case-based\u00a0Expert System using Wavelet Packet Transform and Kernel-based Feature Manipulation for Engine Ignition System Diagnosis.\u00a0<i style=\"font-size: 10pt\">Engineering\u00a0<\/i><i style=\"font-size: 10pt\">Applications of Artificial Intelligence, Vol. 24 (No. 7), pp. 1281-1294.<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong,\u00a0<\/b><b>C.M.<\/b>,\u00a0<i>Wong, P.K.<\/i>\u00a0(2011). Engine Ignition Diagnosis\u00a0with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines.\u00a0<i style=\"font-size: 10pt\">Expert Systems with Applications, Vol. 38 (No.7),\u00a0<\/i><i style=\"font-size: 10pt\">pp.8563-8670.<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong,\u00a0<\/b><b>C. M.<\/b>,\u00a0<i>Wong, P. K., Tam, L. M.,<\/i>\u00a0&amp;\u00a0<u>Zhang,\u00a0<\/u><u style=\"font-size: 10pt\">Z.Y.<\/u>\u00a0(2011) Ignition Pattern Analysis for Automotive Engine Trouble\u00a0Diagnosis using Wavelet Packet Transform and Support Vector Machines.\u00a0<i style=\"font-size: 10pt\">Chinese\u00a0<\/i><i style=\"font-size: 10pt\">Journal of Mechanical Engineering, Vol. 24 (No.5), pp. 870-878.\u00a0<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong,\u00a0<\/b><b>C. M.<\/b>,\u00a0<i>Wong, P. K., &amp; Ip, W. F.<\/i>\u00a0(2010). Support\u00a0Vector Classification using Domain Knowledge and Extracted Pattern Features for Diagnosis of Engine Ignition Systems.\u00a0<i style=\"font-size: 10pt\">Journal of the Chinese Society of\u00a0<\/i><i style=\"font-size: 10pt\">Mechanical Engineers, Vol. 31(No. 5). pp. 363-374.<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong,\u00a0<\/b><b>C.M.<\/b>,\u00a0<i>Wong, P.K., Ip, W. F.\u00a0<\/i>(2010). Engine Ignition\u00a0System Diagnosis using Case-based Reasoning Enhanced with Wavelet Packet Transform and Clustering.\u00a0<i style=\"font-size: 10pt\">Information, Vol. 13(No. 6), pp.2081-2092,\u00a0<\/i><i style=\"font-size: 10pt\">NOV, 2010.<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong,\u00a0<\/b><b>C.M.<\/b>,\u00a0<i>Wong, P.K.<\/i>\u00a0(2010). Case-based Adaptation for\u00a0Automotive Engine Electronic Control Unit Calibration.\u00a0<i style=\"font-size: 10pt\">Expert Systems\u00a0<\/i><i style=\"font-size: 10pt\">with Applications, Vol. 37 (No.4), pp.3184-3194.\u00a0<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0Wong, P. K.,<\/i><i>Tam, L. M.,<\/i>\u00a0<u>Li, K,<\/u>\u00a0&amp;\u00a0<b>Vong, C.M.<\/b>\u00a0(2010).\u00a0Engine Idle-Speed System Modelling and Control Optimization Using Artificial Intelligence.\u00a0<i style=\"font-size: 10pt\">Proceedings of the Institution of Mechanical Engineers,\u00a0<\/i><i style=\"font-size: 10pt\">Part D, Journal of Automobile Engineering, Vol. 224 (No.1), pp.55-72.\u00a0<\/i><\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(EI) Wong, P. K.<\/i>,\u00a0<b>Vong,\u00a0<\/b><b style=\"font-size: 10pt\">C.M.<\/b>,<i style=\"font-size: 10pt\">\u00a0Tam, L. M.,\u00a0<\/i>&amp;\u00a0<u style=\"font-size: 10pt\">Li, K.\u00a0<\/u>(2008).\u00a0Data preprocessing and modelling of electronically-controlled automotive engine power performance using kernel principal components analysis and least squares support vector machines.\u00a0<i style=\"font-size: 10pt\">International Journal of Vehicle Systems\u00a0<\/i><i style=\"font-size: 10pt\">Modelling and Testing, Vol.\u00a03<\/i>(<i style=\"font-size: 10pt\">No.<\/i>\u00a0<i style=\"font-size: 10pt\">4<\/i>), pp. 312-330.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong,\u00a0<\/b><b>C.M.<\/b>,\u00a0<i>Wong ,P.K., &amp; Li, Y.P.<\/i>\u00a0(2006). Prediction\u00a0of Automotive Engine Power and Torque Using Least Squares Support Vector Machines and Bayesian Inference.\u00a0<i style=\"font-size: 10pt\">Engineering Application of Artificial\u00a0<\/i><i style=\"font-size: 10pt\">Intelligence (EAAI), Vol. 19(No.3)<\/i>, pp. 227-297.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">(EI) <b>Vong, C.M.<\/b>,\u00a0<i>Wong,\u00a0<\/i><i style=\"font-size: 10pt\">P.K., Li, Y.P.\u00a0<\/i>&amp;\u00a0<u style=\"font-size: 10pt\">Ho, C.M.\u00a0<\/u>(2005). Modelling of\u00a0Modern Automotive Petrol Engine \u00a0<i style=\"font-size: 10pt\">(SCI-E)\u00a0<\/i>Performance Using\u00a0Support Vector Machines.\u00a0<i style=\"font-size: 10pt\">Journal of Zhejiang University SCIENCE A (JZUS\u00a0<\/i><i style=\"font-size: 10pt\">A) \u2013 An International Journal, Vol. 6A (no.1)<\/i>, pp. 1-8.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>(SCI-E)\u00a0<\/i><b>Vong,\u00a0<\/b><b>C.M.<\/b>, Leung T.P., &amp;\u00a0<i>Wong, P.K.\u00a0<\/i>(2002).\u00a0Case-based Reasoning and Adaptation in Hydraulic Production Machine Design.\u00a0<i style=\"font-size: 10pt\">Engineering Application of Artificial Intelligence (EAAI), Vol.<\/i><i style=\"font-size: 10pt\">15(No.1)<\/i>, pp. 567-585.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Wong,\u00a0<\/i><i style=\"font-size: 10pt\">P.K., Li, Y.P.<\/i>\u00a0(2003). Impact of Internet Cafes on Macao Youth.\u00a0<i style=\"font-size: 10pt\">Journal\u00a0<\/i><i style=\"font-size: 10pt\">of Youth Studies<\/i>, Vol.6 (No.2), pp. 103-107.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Li,\u00a0<\/i><i style=\"font-size: 10pt\">Y.P.<\/i>,\u00a0<i style=\"font-size: 10pt\">Wong, P.K., Mak, P.U. &amp; Vai, M.I.\u00a0<\/i>(2002). The application of Case-based Reasoning in Macau.\u00a0<i style=\"font-size: 10pt\">Journal of Macau Research\u00a0<\/i><i style=\"font-size: 10pt\">Studies, Vol. 15<\/i>, pp. 231- 248.<\/li>\n<\/ol>\n<p>Conference Papers<\/p>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">M. Fu,\u00a0<u>C.M. Wong<\/u>, H. Zhu, Y.J. Huang, Y.P. Li, X. Zheng, J. Wu,\u00a0<b>C.M. Vong<\/b>, J. Yang, DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce<br \/>\nBusinesses,\u00a0<i>Proceedings of the 16th International Conference on Service-Oriented Computing (ICSOC 2018)<\/i>, pp. 740-755, 2018.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>P.K. Wong<\/i>,\u00a0<u>W. Huang<\/u>, K.I. Wong,\u00a0<b>C.M. Vong<\/b>, Adaptative Control of Vehicle Yaw Rate with Active Steering System and Extreme Learning Machine \u2013 A Pilot Study, Proceedings of The 8th International Conference on Extreme Learning Machines, Yantai, China, 2017 (In press).<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><u>J. Du,<\/u>\u00a0<b>C.M. Vong<\/b>,\u00a0<u>Y. Chang<\/u>,\u00a0<u>Y. Jiao<\/u>, Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification,\u00a0<i>Proceedings of the International Conference on Extreme Learning Machine 2016 (ELM2016)<\/i>, pp. 229-239, Singapore, December, 2016.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.,<\/b>\u00a0<i>Wong, P.K.<\/i>,\u00a0<u>Ma, Z.Q.,<\/u>\u00a0<u>Wong, K.I.<\/u>\u00a0(2014). Application of RFID Technology and the Maximum Spanning Tree Algorithm for Solving Vehicle Emissions in Cities on Internet of Things. In\u00a0<i>Proceedings of IEEE World Forum on Internet of Things (WF-IoT) 2014<\/i>, pp. 347-352, Seoul, Korea, March, 2014.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.,<\/b>\u00a0<i>Wong, P.K.,<\/i>\u00a0<u>Wong, K.I.,<\/u>\u00a0<u>Ma, Z.Q.<\/u>\u00a0(2013). Inspection and Control of Vehicle Emissions through Internet of Things and Traffic Lights.\u00a0<i>In Proceedings of 2013 International Conference on Connected Vehicles &amp; Expo<\/i>, pp. 863-868, Las Vegas, Nevada, USA, December, 2013.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><u>Wong, H.C.<\/u><i>, Wong, P.K.<\/i>,\u00a0<b>Vong, C.M.,<\/b>\u00a0<i>Xie, Z.C.<\/i>,\u00a0<u>Huang, S.J<\/u>. (2013). Model Predictive Fuzzy Control of Air-ratio for Automotive Engines.\u00a0<i>Proceedings of the International Conference on Aerospace, Mechanical, Automotive and Materials Engineering (ICMAME 2013)<\/i>, pp.164-169, Venice, Italy, April, 2013.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Wong, P.K.,<\/i>\u00a0<u>Wong, H.C.,<\/u>\u00a0<b>Vong, C.M.<\/b>\u00a0(2012). Modelling and Prediction of Automotive Engine Air-ratio Using Relevance Vector Machine.\u00a0<i>Proceedings of the 12th Conference on Control, Automation, Robotics and Vision (ICARCV 2012),<\/i>\u00a0pp. 1710-1715, Guangzhou, China, December, 2012.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Wong, P.K.<\/i>,\u00a0<b>Vong, C.M.<\/b>,<i>\u00a0Ip, W.F.,\u00a0<\/i><u>Wong H.C.<\/u>\u00a0(2012). Preliminary Study on Telemetric Vehicle Emission Examination,\u00a0<i>Lecture Notes in Electrical Engineering<\/i>\u00a0113 LNEE, pp. 443-451, 2012.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Wong, P.K.,<\/i>\u00a0<b>Vong, C.M.,<\/b>\u00a0<u>Zhang, Z.Y<\/u>.,\u00a0<i>Xu, Q.S<\/i>. (2011). Fault diagnosis of automotive engines using fuzzy relevance vector machine,\u00a0<i>Communications in Computer and Information Science\u00a0<\/i>164 CCIS, pp. 213-220, 2011.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.,<\/b>\u00a0<i>Wong, P.K., Ip, W.F., Yang, Z.X.<\/i>\u00a0(2011), Case-based design for hydraulic power circuit,\u00a0<i>Communications in Computer and Information Science<\/i>\u00a0163 CCIS, pp. 269-275.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.,<\/b>\u00a0<i>Wong, P.K., Ip, W.F.\u00a0<\/i>(2011), Simultaneous Faults Diagnosis for Automotive Ignition Patterns,\u00a0<i>Proceedings of the 2011 International Conference on Machine Learning and Cybernetics<\/i>, Vol. 3, IEEE press, pp.1324-1330, Guilin, China, July, 2011.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><u>Yang, J.Y.<\/u>,\u00a0<i>Ip, W.F.,<\/i>\u00a0<b>Vong, C.M.<\/b>\u00a0and\u00a0<i>Wong, P.K.<\/i>, (25\/06\/2011) Effect of Choice of Kernel in Support Vector Machines on Ambient Air Pollution Forecasting,\u00a0<i>Proceedings of 2011 International Conference on System Science and Engineering (ICSSE 2011)<\/i>, Published by IEEE, pp. 552-557, Macau, June 2011.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Wong, P.K., Ip, W.F.<\/i>, (25\/06\/2011) Framework of Vehicle Emission Inspection and Control Through RFID and Traffic Lights,\u00a0<i>Proceedings of 2011 International Conference on System Science and Engineering (ICSSE 2011)<\/i>, Published by IEEE, pp. 597-600, Macau, June 2011.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Wong, P.K.,<\/i>\u00a0<b>Vong, C.M.<\/b>,\u00a0<i>Ip, W.F<\/i>. (21\/05\/2010). Modelling of Petrol Engine Power using Incremental Least-Square Support Vector Machines for ECU calibration. 2010\u00a0<i>International Conference on Optoelectronics and Image Processing (ICOIP)<\/i>, pp. 12 \u2013 15, Hainan, China, 2010.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Wong, P. K., &amp; Ip W. F.<\/i>\u00a0(18\/08\/2010). Case-based Classification System with Clustering for Automotive Engine Spark Ignition Diagnosis.\u00a0<i>IEEE\/ACIS 9th International Conference on Computer and Information Science (ICIS),<\/i>\u00a0pp. 17 \u2013 22, Yamgata, Japan, 2010.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Ip, W.F.,<\/i>\u00a0<b>Vong, C.M.<\/b>,\u00a0<i>Wong, P.K<\/i>. (18\/08\/2010).\u00a0Least Squares Support Vector Machines for Daily Ambient Air Pollution Forecasting<i>.\u00a0IEEE\/ACIS 9th International Conference on Computer and Information Science (ICIS)<\/i>, pp. 23 \u2013 28, Yamagata, Japan, 2010.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Wong, P.K.,<\/i>\u00a0<u>Wong, H.C.<\/u>,\u00a0<b>Vong, C.M.<\/b>,\u00a0<i>Ip, W.F.<\/i>\u00a0(18\/08\/2010). Predictive Air-Ratio Controller for Automotive Engines Based on Online Neural Network: Design and Experimental Evaluation.\u00a0<i>IEEE\/ACIS 9th International Conference on Computer and Information Science (ICIS)<\/i>, pp. 275 \u2013 279, Yamagata, Japan, 2010.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<u>Huang, H.<\/u>, &amp;\u00a0<i>Wong, P. K.<\/i>\u00a0(20\/06\/2010). Engine Spark Ignition Diagnosis with Wavelet Packet Transform and Case-based Reasoning.\u00a0<i>IEEE International Conference on Information and Automation (ICIA),<\/i>\u00a0pp. 565 \u2013 570, Heilongjiang, China, 2010.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Ip, W.F.,\u00a0<\/i><b>Vong, C. M.<\/b>,\u00a0<u>Yang, J. Y.<\/u>\u00a0(20\/06\/2010).\u00a0Forecasting Daily Ambient Air Pollution Based on Least Squares Support Vector Machines<i>.\u00a0IEEE International Conference on Information and Automation (ICIA)<\/i>, pp. 571 \u2013 575, Heilongjiang, China, 2010.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Wong, P.K.,<\/i>\u00a0<b>Vong, C.M.<\/b>,\u00a0<u>Wong, H.C.<\/u>,\u00a0<u>Li, K.<\/u>\u00a0(2\/12\/2009) Modelling and Prediction of Spark-ignition Engine Power Performance using Incremental Least Squares Support Vector Machines.\u00a0<i>Proceedings of the 2nd International Symposium on Computational Mechanics and the 12th International Conference on Enhancement and Promotion of Computational Methods in Engineering and Science<\/i>, pp.179 \u2013 184, Hong Kong &amp; Macao, 2009.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<u>Huang, H.,\u00a0<\/u><i>Wong, P.K.<\/i>\u00a0(2\/12\/2009). Case-based Reasoning for Automotive Engine Performance Tune-up.\u00a0<i>Proceedings of the 2nd International Symposium on Computational Mechanics and the 12th International Conference on Enhancement and Promotion of Computational Methods in Engineering and Science<\/i>, pp. 185 \u2013190, Hong Kong &amp; Macao, 2009.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><u>Huang, H.,<\/u>\u00a0<b>Vong, C.M.<\/b>\u00a0and\u00a0<i>Wong, P.K.<\/i>\u00a0(2\/12\/2009). Signal Analysis of Automotive Engine Spark Ignition System using Case-based reasoning (CBR) and Case-based Maintenance (CBM).\u00a0<i>Proceedings of the 2nd International Symposium on Computational Mechanics and the 12th International Conference on Enhancement and Promotion of Computational Methods in Engineering and Science<\/i>, pp. 459 \u2013 464, Hong Kong &amp; Macao, 2009.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Wong, P. K.,<\/i>\u00a0&amp;\u00a0<u>Huang, H.<\/u>\u00a0(22\/06\/2009).\u00a0Case-based Reasoning for Automotive Engine Electronic Control Unit Calibration. \u00a0<i>IEEE International Conference on Information and Automation (ICIA)<\/i>, pp. 1380 \u2013 1385, Zhuhai, China, 2009.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Wong, P. K.,<\/i>\u00a0&amp;<u>\u00a0Zhang R.<\/u>\u00a0(22\/06\/2009). Incremental Modelling of Automotive Engine Performance using LS-SVM.\u00a0<i>IEEE International Conference on Information and Automation (ICIA)<\/i>, pp. 1537 \u2013 1540, Zhuhai, China, 2009.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Wong, P. K.,<\/i>\u00a0<u>Mok, K.W.<\/u>, &amp;\u00a0<b>Vong, C.M.<\/b>\u00a0(10\/2008).\u00a0Design and Control of an Electromechanical Variable Rotary Valve System for Four-stroke Engines.\u00a0<i>Proceedings of AVEC \u201908<\/i>, pp. 887 \u2013 892, Kobe, Japan.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Wong, P. K.<\/i>,\u00a0<u>Li, K.,<\/u>\u00a0&amp;\u00a0<u>Zhang, R.<\/u>\u00a0(10\/2008).\u00a0A Study on Online LS-SVM for Modelling of Electronically-controlled Automotive Engine Performance.\u00a0<i>Proceedings of AVEC \u201908<\/i>, pp. 905 \u2013 910, Kobe, Japan.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Wong, P. K., Tam, L.M.<\/i>,\u00a0<b>Vong, C.M.<\/b>, &amp;\u00a0<u>Li, K.<\/u>\u00a0(12\/2006).\u00a0Modelling\u00a0and Prediction of Automotive Engine Specific Fuel Consumption Using Support Vector Machines.\u00a0<i>Symposium on City Energy Technology<\/i>. Macao.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Wong, P.K., Tam L.M.<\/i>\u00a0&amp;\u00a0<u>Li, K.<\/u>\u00a0(2006).\u00a0Preprocessing of Automotive Engine ECU Data.\u00a0<i>Proceedings of the 4th Regional Inter-University Postgraduate Electrical and Electronics Engineering Conference (RIUPEEEC 2006),<\/i>\u00a0Macao.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Wong, P. K., Tam, L.M.<\/i>,\u00a0<b>Vong, C.M.,<\/b>\u00a0&amp;\u00a0<u>Li, K.<\/u>\u00a0(12\/2006).\u00a0Modelling\u00a0and Prediction of Automotive Engine Specific Fuel Consumption Using Support Vector Machines.\u00a0<i>Symposium on City Energy Technology<\/i>. Macao.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Wong, P.K.<\/i>,\u00a0<b>Vong, C.M.<\/b>,\u00a0<u>Ho, C.M.<\/u>, &amp;\u00a0<i>Li, Y.P.<\/i>\u00a0(2004).\u00a0Prediction of Automotive Engine Power and Torque Using Support Vector Machines.\u00a0<i>Proceedings of Symposium on Applied Science and Technology in Macau 2004<\/i>, Macao.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><i>Wong, P.K.,<\/i>\u00a0<b>Vong, C.M.,<\/b>\u00a0<u>Ho, C.M.,<\/u>\u00a0&amp;\u00a0<i>Li, Y.P.\u00a0<\/i>(2004).\u00a0Prediction of Automotive Engine Power and Torque Using Support Vector Machines.\u00a0<i>Proceedings of Symposium on Applied Science and Technology in Macau 2004<\/i>, Macao.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.,<\/b>\u00a0<u>Chan I.W.<\/u>,\u00a0<u>Chang, C.P.<\/u>, &amp;<u>\u00a0Leong, W.K.<\/u>\u00a0(2004).\u00a0Data\u00a0<u>Pre-processing\u00a0<\/u>for Automotive Engine Tune-up.\u00a0<i>Proceedings of Symposium on Applied Science and Technology in Macau 2004<\/i>, Macao.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<u>Chan I.W.<\/u>,\u00a0<u>Chang, C.P.<\/u>, &amp;\u00a0<u>Leong, W.K<\/u>. (2004).\u00a0Data\u00a0<u>Post-processing<\/u>\u00a0for Automotive Engine Tune-up.\u00a0<i>Proceedings of Symposium on Applied Science and Technology in Macau 2004<\/i>, Macao.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Wong, P.K., &amp; Li, Y.P.<\/i>\u00a0(2003).\u00a0Neural Networks in Automotive Engine Tuning.\u00a0<i>Proceedings of EPMESC IX \u2013 Computational Methods in Engineering and Science<\/i>, Macao.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Wong, P.K., &amp; Li, Y.P.<\/i>\u00a0(2003). Case-based Reasoning in Airpot Terminal Planning.\u00a0<i>Proceedings of EPMESC IX \u2013 Computational Methods in Engineering and Science<\/i>, Macao.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Li, Y.P., &amp; Wong, P.K.<\/i>\u00a0(2003). Knowledge Acquisition Through Case-based Adaptation for Hydraulic Power Machine Design.\u00a0<i>Proceedings of 5th International Conference on Enterprise Information Systems (ICEIS),<\/i>\u00a0Angers, France.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\"><b>Vong, C.M.<\/b>,\u00a0<i>Wong, P.K., &amp; Li, Y.P.<\/i>\u00a0(2002).\u00a0Automotive Engine Tuning with Data Mining Techniques.\u00a0<i>Proceedings of Symposium on Technological Innovation in Macau 2002<\/i>, Macao.<\/li>\n<\/ol>\n<h4>Book\/Chapter Contributions<\/h4>\n<ol start=\"1\" type=\"1\">\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">J.W. Cao, <b>C.M. Vong<\/b>, Y. Miche, A. Lendasse (Eds.)<i> Proceedings of ELM-2019<\/i>, Published by Springer.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">J.W. Cao, <b>C.M. Vong<\/b>, Y. Miche, A. Lendasse (Eds.) <i>Proceedings of ELM-2018<\/i>, Published by Springer.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">J.W. Cao, <b>C.M. Vong<\/b>, Y. Miche, A. Lendasse (Eds.) <i>Proceedings of ELM-2017<\/i>, Published by Springer.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">J.W. Cao, E. Cambria, A. Lendasse, Y. Miche, <b>C.M. Vong<\/b> (Eds.) <i>Proceedings of ELM-2016<\/i>, Published by Springer.<\/li>\n<li style=\"line-height: normal;background-image: initial;background-position: initial;background-size: initial;background-attachment: initial\">Lendasse, A.,\u00a0<b>Vong, C.M.<\/b>, Toh, K.A., Huang, G.B.(Eds.) <i>Advances in Extreme Learning Machines (ELM2015)<\/i>, SI of\u00a0<i>Neurocomputing<\/i>, Elsevier, 2017.<\/li>\n<\/ol>\n<h3>Professional Affiliations<\/h3>\n<ul>\n<li><strong><em>IEEE Senior Member <\/em><\/strong>(2013 \u2013 Now)<\/li>\n<li><strong><em>Treasurer<\/em><\/strong>, Macau Association of Promotion of Science and Technology (\u6fb3\u9580\u79d1\u5b78\u6280\u8853\u5354\u9032\u6703), (2006 \u2013 present)<\/li>\n<li><strong><em>Secretary-general<\/em><\/strong>, Macau Association of Promotion of Science and Technology\u00a0 (\u6fb3\u9580\u79d1\u5b78\u6280\u8853\u5354\u9032\u6703), (2000 \u2013 2006)<\/li>\n<li><strong><em>Member <\/em>(<em>Macau Representative<\/em>)<\/strong>, Association of Youths of Hainan Province, China (\u4e2d\u570b\u6d77\u5357\u7701\u9752\u5e74\u806f\u5408\u6703, \u6fb3\u9580\u5340\u59d4\u54e1) (2005-2010)<\/li>\n<\/ul>\n<hr size=\"1\" width=\"100%\" \/>\n<h3>Professional and University Services<\/h3>\n<ul>\n<li><em>Associate Editor<\/em>\u00a0of <i>IEEE Transactions on Emerging Topics in Computational Intelligence <\/i>(SCI-E) (2024 \u2013 Now).<\/li>\n<li><em>Associate Editor<\/em>\u00a0of\u00a0<em>Neurocomputing<\/em> (SCI-E) (2017 \u2013 Now).<\/li>\n<li><em>Subject Editor<\/em>\u00a0of\u00a0<em>IET Electronics Letters<\/em> (SCI-E) (2018 \u2013 2024).<\/li>\n<li><em>Program Committee (co-)chair<\/em>\u00a0of\u00a0<em>International Conference on Extreme Learning Machines<\/em>\u00a02013, 2016, 2021.<\/li>\n<li><em>Competition co-chair<\/em>\u00a0of\u00a0<em>International Conference on Extreme Learning Machines<\/em>\u00a02014.<\/li>\n<\/ul>\n<ul>\n<li><em>Guest editor<\/em>\u00a0of\u00a0<em>Neurocomputing<\/em>\u00a0(SCI-E) on Special Issue of ELM2014, ELM2015, ELM2016, ELM2017.<\/li>\n<li><em>Guest editor<\/em>\u00a0of\u00a0<em>International Journal of Advanced Robotic Systems<\/em>\u00a0(SCI-E) 2014.<\/li>\n<\/ul>\n<ul>\n<li><strong><em>Associate Head<\/em><\/strong> of Department of Computer and Information Science (2016 \u2013 2025).<\/li>\n<li><strong><em>Panel Chair<\/em><\/strong> of student admission (BSc, MSc, PhD) to CIS program (2014 to 2025).<\/li>\n<li><i><b>PI <\/b><\/i>of UM FST Summer Camp on 3D Reconstruction using Quadcopters (2014-2019).<\/li>\n<\/ul>\n<hr size=\"1\" width=\"100%\" \/>\n<h3>Software Download<\/h3>\n<p>The following software were developed under the support of the University of Macau and are for academic use only.<\/p>\n<p>a) SBELM<\/p>\n<p>This toolbox includes MATLAB code for<\/p>\n<ol type=\"i\">\n<li>Sparse Bayesian Extreme Learning Machine (SBELM) for multi-class classification<\/li>\n<li>Bayesian Extreme Learning Machine (BELM) for multi-class classification<\/li>\n<\/ol>\n<p>For any bugs of the toolbox, please send to cmvong@um.edu.mo.<\/p>\n<p>Disclaimer: Any personal or academic use of this toolbox should cite the following paper. For any commercial use of this toolbox, please contact us at cmvong@um.edu.mo\u00a0for permission.<\/p>\n<p>Jiahua Luo, Chi Man Vong, and Pak Kin Wong (2014), &#8220;Sparse Bayesian Extreme Learning Machine for Multi-classification&#8221;, IEEE Transactions on Neural Networks and Learning Systems, Vol. 25(4), pp. 836-843, 2014.<\/p>\n<p>The toolbox can be downloaded <a href=\"\/en\/staff\/documents\/fstcmv\/SBELM%20Classification%20V1.1.zip\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>.<\/p>\n<p>b) ML-KELM<\/p>\n<p>This toolbox includes MATLAB code for<\/p>\n<ol type=\"i\">\n<li>Multi-layer Kernel Extreme Learning Machine for Auto-Encoder<\/li>\n<\/ol>\n<p>For any bugs of the toolbox, please send to cmvong@um.edu.mo.<\/p>\n<p>Disclaimer: Any personal or academic use of this toolbox should cite the following paper. For any commercial use of this toolbox, please contact us at cmvong@um.edu.mo\u00a0for permission.<\/p>\n<p>Chi Man Wong, Chi Man Vong, Pak Kin Wong, Jiuwen Cao (2017), &#8220;Kernel-based Multi-layer Extreme Learning Machine for Representation Learning&#8221;, IEEE Transactions on Neural Networks and Learning Systems, accepted manuscript for publication in 2017.<\/p>\n<p>The toolbox can be downloaded <a href=\"\/en\/staff\/documents\/fstcmv\/ML-KELM1.0.zip\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>.<\/p>\n<hr size=\"1\" width=\"100%\" \/>\n<h3>Contact Details<\/h3>\n<p>Faculty of Science and Technology<br \/>\nUniversity of Macau, E11<br \/>\nAvenida da Universidade, Taipa,<br \/>\nMacau, China<\/p>\n<p>Room: E11-4013<br \/>\nTelephone: (853) 8822-4357<br \/>\nFax: (853) 8822-2426<br \/>\nEmail: cmvong6J<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Chi Man VONG \u9ec3\u5fd7\u6587 Associate Professor Department of Computer and Information Science (CIS) Academic Qualification PhD in Software Engineering, FST, University of Macau (2005) M.Sc. in Software Engineering, FST, University of Macau (2000) B.Sc. in Software Engineering, FST, University of Macau (1996) Working Experience AUG-2013 to present: Associate Professor, Dept. of Computer and Information &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.fst.um.edu.mo\/personal\/cmvong\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Chi Man VONG&#8221;<\/span><\/a><\/p>\n","protected":false},"author":71,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_canvas","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-1057","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/pages\/1057","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/users\/71"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/comments?post=1057"}],"version-history":[{"count":18,"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/pages\/1057\/revisions"}],"predecessor-version":[{"id":59743,"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/pages\/1057\/revisions\/59743"}],"wp:attachment":[{"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/media?parent=1057"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}