Long CHEN陳龍
Associate Professor

Academic Qualifications | Professional Qualification | Working Experience | Award and Honor | Teaching | Research | Selected Publications | Services | Professional Affiliations | Contact Details


Academic Qualification

  • Ph.D. in Electrical Engineering, University of Texas, San Antonio, USA (2010)
  • M.S. in Electrical and Computer Engineering, University of Alberta, Canada (2005)
  • M.S.E in Control Theory and Engineering, Institute of Automation, Chinese Academy of Sciences, China (2003)
  • B.S. in Information Science, Peking University, China (2000)

Professional Qualification

  • Intel Certified Hadoop Administrator, obtained in Oct 16, 2013 by examination, granted by Intel Corporation

Working Experience

  • 08/2011-Present Assistant Professor, University of Macau, Macau, China
  • 06/2010-07/2011 Postdoctoral Fellow, University of Texas, San Antonio, USA
  • 08/2010-09/2010 Visiting Researcher, The Translational Genomics Research Institute (Tgen), Arizona, USA

Award and Honor

  • Macau Natural Science Award, 2014, “Technologies for Feature Analysis and Multimedia Security”, 3rd Place Award, Macau government (media coverage
  • Best Theory Paper Award and Best Student Paper Award First Place, 2016  International Conference on Fuzzy Theory and Its Applications (iFUZZY 2016), “Image Guided Fuzzy C-Means algorithm for Image Segmentation”, by Li Guo, Long Chen, Yingwen Wu, and C. L. Philip Chen (media coverage)
  • Second Prize, 2016 13th National Postgraduate Mathematic Contest in Modelling,  Team: Li Guo, Yingwen Wu, Lingning Kong, Supervisor: Long Chen (media coverage)
  • Best Paper Award, 2016 The Seventh Chinese Symposium on Linguistic Dynamic Systems, China, “New Shadowed Set Enhanced Fuzzy C-Means Algorithm for Image Segmentation”, by Shihong Chen and Long Chen
  • Best Paper Award, 2015  International Conference on Fuzzy Theory and Its Applications (iFUZZY 2015), “Adaptive Consensus Control for Nonlinear Multi-agent Systems”, by Chang-E Ren, Long Chen, and C. L. Philip Chen  (media coverage)
  • Best Student Paper Award, 2015  International Conference on Fuzzy Theory and Its Applications (iFUZZY 2015), “A Novel Image Segmentation Approach Based on Spatial Shadowed Fuzzy C-means and I-Ching Operators”, by Tong Zhang, Long Chen, and C. L. Philip Chen  (media coverage)
  • Best Paper Award, 2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2013), “Multi-Attribute Decision Making for Data-centric Routing in Wireless Sensor Networks”, by Jin Zhou, C. L. Philip Chen, and Long Chen (media coverage)
  • Best Paper Award (Final list), 2012 International Conference on System Science and Engineering (ICSSE 2012), “Parallel attribute-weighted fuzzy c-means algorithm for clustering,” by Jin Zhou, C. L. Philip Chen, and Long Chen (media coverage)
  • Popular Articles in IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), “A Multiple-Kernel Fuzzy C-Means Algorithm for Image Segmentation”, by Long Chen, C. L. Philip Chen, Mingzhu Lu (media coverage)

Teaching

B.Sc. Courses

  1. Logic and Computability (SFTW422) / Logic for Computer Science (CISB463)
  2. Artificial Intelligence II (SFTW461) / Advanced Artificial Intelligence (CISB450)
  3. Final Year Project (CISB410)

Ph.D. Course

  1. Research Methods (SCTE801)

Research

Research Interests

  • Computational Intelligence techniques like Fuzzy and Sparse models and their applications in image processing, intelligence system modeling and control
  • Computational methods in bioanalytical chemistry and chemo/biosensing

Recent Research Projects (2011 – present)

PI:

  • Sept. 2016 -Dec. 2020,  National Natural Science Foundation of China General Program, “Multi-Kernel Rough Fuzzy Clustering and its Regularization by General Spatial Information”
  • July 2016- July 2018, Macau Science and Technology Development Fund (FDCT), “Distributed Computing Methods and Tools on Big Data Platform for Quantitative LC/MS Data Analysis in Proteomics”
  • April 2015 – March 2018, University of Macau MYRG, “Shadowed Clustering in Big Data Computing – Kernelization, Ensemble and Parallelization”
  • Jan 2016-Dec 2016, Macau Science and Technology Development Fund (FDCT), “Platform for Cooperation of Multiple Underwater Robots (Robotic Fish)”
  • April 2015 – April 2018, Macau Science and Technology Development Fund (FDCT) “Clustering based Preprocessing of Raman Imaging Data and Its Applications”
  • May 2013- April 2016, University of Macau MYRG, “Information Fusion and Information Granulation in Data-Driven Intelligent Transportation System”
  • Jan 2012 -Dec 2012, University of Macau SRG, “Distributed Multiple-Kernel Clustering and Its Applications in CPS​”
  • July 2012- July 2013, State Key Laboratory of Chemo/Biosensing and Chemometrics Open Topic Grant, “Statistical Signal Processing for Quantitative LC/MS Data Analysis in Proteomics”

Co-PI:

  • National Natural Science Foundation of China General Program, “Evolutionary Computation Based Deep Learning Techniques for Disease Prevention and Control”, Jan 2016 – Dec 2019.
  • Bureau of Telecommunications Regulation of Macao SAR (DSRT), “Research on TV Services in Macau”, 2013 – 2014
  • Bureau of Telecommunications Regulation of Macao SAR (DSRT), “Study on Underground Telecommunication Duct Detection in Macau”, 2013
  • Bureau of Telecommunications Regulation of Macao SAR (DSRT), “Study of Mobile Communication Service Billing in Macao”, 2012
  • Bureau of Telecommunications Regulation of Macao SAR (DSRT),​ “Investigation Assistance to DSRT for CTM’S Network Interruption on 6 February 2012”, 2012

Selected Publications

Journal Papers (2011 – present)

Underline indicates UM students.

  1. Y. Li, X. H, D. D, Y. Zou, Y. Xu, X. Wang, Y. Zhang, L. Chen, Z. Chen, W. Tan, “In situ targeted MRI detection of Helicobacter pylori with stable magnetic graphitic nanocapsules”, Nature Communications, ​in press 2017
  2. J. Zhou, L. Chen, C. L. P. Chen, H-X. Li, “Uncertain Data Clustering in Distributed Peer-to-Peer Networks”, IEEE Transactions on Neural Networks and Learning Systems, in press 2017
  3. L. Liu, C. L. P. Chen, S. Li, Y. Tang, L. Chen, “Robust Face Hallucination via Locality-constrained Bi-layer Representation​”, IEEE Transactions on Cybernetics,  in press 2017
  4. L. Guo, L. Chen, Y. Wu, C. L. P. Chen, “Image Guided Fuzzy C-Means for Image Segmentation”, International Journal of Fuzzy Systems, in press 2017
  5. C. Zhang, D. Chen, J. Yin, L. Chen, “A flexible and robust train operation model based on expert knowledge and online adjustment​”, International Journal of Wavelets, Multiresolution and Information Processing, 15(3), 1750023, 2017
  6. R. Cheng, Y. Song, D. Chen, L. Chen, “Intelligent Localization of High Speed Train using LSSVM and Online Sparse Optimization Approach”, IEEE Transactions on Intelligent Transportation Systems, in press, 2016.
  7. Y. Zhang, Y.  Zou, F. Liu, Y. Xu, X. Wang, H. Liang, L. Chen, Z. Chen, W. Tan. “Stable Graphene-Isolated-Au-Nanocrystal for Accurate and Rapid Surface Enhancement Raman Scattering Analysis”. Analytical Chemistry, 2016, 88 (21), pp 10611–10616
  8. M. Gan, L. Chen, C. Zhang, H. Peng, “A Self-organizing State Space Type Microstructure Model for Financial Asset Allocation”. IEEE Access, vol.PP, no.99, pp.1-10, doi: 10.1109/ACCESS.2016.2626720​
  9. J. Duan, L. Chen, C. L. P. Chen, “Multifocus Image Fusion Using Superpixel Segmentation and Superpixel-based Mean Filtering”, Applied Optics, in press
  10. Y. Zou, L. Chen, Z. Song, D. Ding, Y. Chen, Y. Xu, S. Wang, X. Lai, Y. Zhang, Y. Sun, Z. Chen, W. Tan, “Stable and unique graphitic Raman internal standard nanocapsules for surface-enhanced Raman spectroscopy quantitative analysis”, Nano Research, vol. 9, no. 5, pp. 1418-1425, 2016.
  11. J. Zhou, L. Chen, C.L.P. Chen, Y. Zhang, H.X. Li, “Fuzzy clustering with the entropy of attribute weights”, Neurocomputing, vol. 198, no. C, pp. 125-134, 2016.​
  12. T. Zhang, L. Chen, C.L.P. Chen, “Clustering Algorithm Based on Spatial Shadowed Fuzzy C-means and I-Ching Operators”, International Journal of Fuzzy Systems, vol. 18, no. 4, pp. 609-617, 2016.
  13. C.Y. Zhang, D. Chen, J. Yin, L. Chen, “Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive”, Advanced Engineering Informatics, vol. 30, no. 3, pp. 553-563, 2016.​
  14. Y.T. Xu, L. Chen, Z. Chen, “Applications of Graphitic Nanomaterial’s Optical Properties in Biochemical Sensing”, Acta Physico-Chimica Sinicano, in press, 2016. doi: 10.3866/PKU.WHXB201609213
  15. X.W. Wang, W. Gao, H. Fan, D. Ding, X.F. Lai, Y.X. Zou, L. Chen, Z. Chen, W. Tan, “Simultaneous tracking of drug molecules and carriers using aptamer-functionalized fluorescent superstable gold nanorod–carbon nanocapsules during thermo-chemotherapy”, Nanoscale, vol. 8, no. 15, pp. 7942-7948, 2016.
  16. S. Wang, Z. Liu, Y. Zou, X. Lai, D. Ding, L. Chen, L. Zhang, Y. Wu, Z. Chen, W. Tan, “Elucidating the cellular uptake mechanism of aptamer-functionalized graphene-isolated-Au-nanocrystals with dual-modal imaging”, Analyst, vol. 141, no. 11, pp. 3337-3342, 2016.
  17. C.E. Ren, L. Chen, C.L.P. Chen, T. Du, “Quantized consensus control for second-order multi-agent systems with nonlinear dynamics”, Neurocomputing, vol. 175, no. Part A, pp. 529-537, 2016.
  18. C.E. Ren, L. Chen, C.L.P. Chen, “Adaptive fuzzy leader-following consensus control for stochastic multi-agent systems with heterogeneous nonlinear dynamics”, IEEE Transactions on Fuzzy Systems, in press, 2016, doi: 10.1109/TFUZZ.2016.2554151​
  19. L. Liu, L. Chen, C.L.P. Chen, Y.Y. Tang, C.M. Pun, “Weighted joint sparse representation for removing mixed noise in image”, IEEE Transactions on Cybernetics, in press, 2016, doi: 10.1109/TCYB.2016.2521428
  20. X.F. Lai, Y.X. Zou, S.S. Wang, M.J. Zheng, X.X. Hu, H. Liang, Y.T. Xu, X.W. Wang, D. Ding, L. Chen, Z. Chen, W.H. Tan, “Modulating the morphology of gold graphitic nanocapsules for plasmon resonance-enhanced multimodal imaging”, Analytical chemistry, vol. 88, no. 10, pp. 5385-5391, 2016.
  21. M. Gan, C.L.P. Chen, L. Chen, C.Y. Zhang, “Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series”, International Journal of Systems Science, vol. 47, no. 8, pp. 1868-1876, 2016.
  22. L. Chen, L. Liu, C.L.P. Chen, “A robust bi-sparsity model with non-local regularization for mixed noise reduction”, Information Sciences, vol. 354, no. 1, pp. 101-111, 2016.
  23. D. Chen, J. Yin, L. Chen, H. Xu, “Parallel Control and Management for High-Speed Maglev Systems”, IEEE Transactions on Intelligent Transportation Systems, in press, 2016, doi: 10.1109/TITS.2016.2577037
  24. C.L.P. Chen, T. Zhang, L. Chen, S.C. Tam, “I-Ching Divination Evolutionary Algorithm and its Convergence Analysis”, IEEE Transactions on Cybernetics, in press, 2016, doi: 10.1109/TCYB.2015.2512286
  25. C.Y. Zhang, C.L.P. Chen, M. Gan, L. Chen, “Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting”, IEEE Transactions on Sustainable Energy, vol. 6, no. 4, pp. 1416-1425, 2015.​
  26. M. Gan, H.X. Li, C.L.P. Chen, L. Chen, “A Potential Method for Determining Nonlinearity in Wind Data”, IEEE Power and Energy Technology Systems Journal, vol. 2, no. 2, pp. 74-81, 2015.
  27. M. Gan, C.L.P. Chen, H.X. Li, L. Chen, “Gradient radial basis function based varying-coefficient autoregressive model for nonlinear and nonstationary time series”, IEEE Signal Processing Letters, vol. 22, no. 7, pp. 809-812, 2015.
  28. C.L.P. Chen, C.Y. Zhang, L. Chen, M. Gan, “Fuzzy restricted boltzmann machine for the enhancement of deep learning”, IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2163-2173, 2015.
  29. C.L.P. Chen, L. Liu, L. Chen, Y.Y. Tang, Y. Zhou, “Weighted couple sparse representation with classified regularization for impulse noise removal”, IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4014-4026, 2015.
  30. J. Zhou, C.L.P. Chen, L. Chen, H.X. Li, “A collaborative fuzzy clustering algorithm in distributed network environments”, IEEE Transactions on Fuzzy Systems, vol. 22, no. 6, pp. 1443-1456, 2014.
  31. Z.L. Song, Z. Chen, X. Bian, L.Y. Zhou, D. Ding, H. Liang, Y. Zou, S.S. Wang, L. Chen, C. Yang, X.B. Zhang, W. Tan, “Alkyne-functionalized superstable graphitic silver nanoparticles for Raman imaging”, Journal of the American Chemical Society, vol. 136, no. 39, pp. 13558-13561, 2014.
  32. X.K. Nie, Y.T. Xu, Z.L. Song, D. Ding, F. Gao, H. Liang, L. Chen, X. Bian, Z. Chen, W. Tan, “Magnetic-graphitic-nanocapsule templated diacetylene assembly and photopolymerization for sensing and multicoded anti-counterfeiting”, Nanoscale, vol. 6, no. 21, pp. 13097-13103, 2014.
  33. L. Chen, J. Zou, C.L.P. Chen, “Kernel spatial shadowed c-means for image segmentation”, International Journal of Fuzzy Systems, vol. 16, no. 1, pp. 46-56, 2014.
  34. C.L.P. Chen, J. Wang, C.H. Wang, L. Chen, “A new learning algorithm for a fully connected neuro-fuzzy inference system”, IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 10, pp. 1741-1757, 2014.
  35. X. Bian, Z.L. Song, Y. Qian, W. Gao, Z.Q. Cheng, L. Chen, H. Liang, D. Ding, X.K. Nie, Z. Chen, W. Tan, “Fabrication of graphene-isolated-Au-nanocrystal nanostructures for multimodal cell imaging and photothermal-enhanced chemotherapy”, Scientific reports, vol. 4, article no. 6093, 2014.
  36. J. Zhou, C.L.P. Chen, L. Chen, W. Zhao, “A user-customizable urban traffic information collection method based on wireless sensor networks”, IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 3, pp. 1119-1128, 2013.
  37. L. Chen, J. Li, C.L.P. Chen, “Regional multifocus image fusion using sparse representation”, Optics express, vol. 21, no. 4, pp. 5182-5197, 2013.
  38. D. Chen, L. Chen, J. Liu, “Road link traffic speed pattern mining in probe vehicle data via soft computing techniques”, Applied Soft Computing, vol. 13, no. 9, pp. 3894-3902, 2013.
  39. D. Chen, L. Chen, “Practical constraint K-segment principal curve algorithms for generating railway GPS digital map”, Mathematical Problems in Engineering, vol. 2013, article no. 258694, 2013.
  40. J. Cui, X. Ma, L. Chen, J. Zhang, “SCFIA: a statistical corresponding feature identification algorithm for LC/MS”, BMC bioinformatics, vol. 12, article no. 439, 2011.
  41. L. Chen, C.L.P. Chen, M. Lu, “A multiple-kernel fuzzy C-means algorithm for image segmentation”, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 41, no. 5, pp. 1263-1274, 2011

Conference Papers (2011 – present)

  1. L. Guo, L. Chen, Y. Wu, C. L. Chen, “Image Guided Fuzzy C-Means for Image Segmentation”. International Conference on Fuzzy Theory and Its Applications (iFuzzy 2016). Taichung, Taiwan. 11/2016
  2. L Chen, L. Guo, L. Lu. C. L. Chen, “Fuzzy Clustering Method with Graph-based Regularization”. International Conference on Fuzzy Theory and Its Applications (iFuzzy 2016),. Taichung, Taiwan., 11/2016
  3. L. Chen, L. Kong, “Fuzzy Clustering in High-dimensional Approximated Feature Space”. International Conference on Fuzzy Theory and Its Applications (iFuzzy 2016). Taichung, Taiwan, 11/2016
  4. L. Chen, J. Duan, C.L. Chen,”Rician noise removal in MR imaging using multi-image guided filter”. Proceedings 2016 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS). Jinzhou, Liaoning, China, pp180-184,2016
  5. L. Chen, S. Chen, “New shadowed fuzzy C-means algorithm for image segmentation”. Proceedings 2016 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS). Jinzhou, Liaoning, China. pp 43-46, 2016
  6. Q. Feng, C. L. Chen, L. Chen, “Compressed auto-encoder building block for deep learning network”. Proceedings 2016 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS). Jinzhou, Liaoning, China, pp 131-136, 2016
  7. C.E. Ren, C. L. Chen, L. Chen. “Consensus control for nonlinear multi-agent systems with packet dropouts and measurement noises”. Proceedings 2016 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS). Jinzhou, Liaoning, China, pp 125-130 2016 
  8. T. Li, L. Chen, C.L.P. Chen, “Fuzzy Clustering based Traffic Pattern Identification”, 2016 IEEE International Conference on Fuzzy Systems (FUZZ 2016), Columbia, Canada, pp. 1181-1187, 2016.
  9. L. Kong, L. Chen, “Approximate Fuzzy Kernel Clustering with Random Feature Mapping and Dimension Reduction”, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery(ICNC-FSKD), Changsha, China, pp. 1424-1429, 2016.
  10. L. Guo, L. Chen, C.L.P. Chen, “Image Guided Fuzzy Clustering for Image Segmentation”, 2016 IEEE International Conference on Systems, Man, and Cybernetics(SMC 2016), Budapest, Hungary, accepted, 2016.
  11. J. Zhou, Y. Zhang, Y. Jiang, C.L.P. Chen, L. Chen, “A Distributed K-means Clustering Algorithm in Wireless Sensor Networks”, 2015 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2015), Chengdu, China, pp. 26-30, 2015.
  12. J. Wang, Y.-Y. Tang, L. Chen, C.L.P. Chen, C.-T. Chen, “A New Fast-F-CONFIS Training of Fully-Connected Neuro-Fuzzy Inference System”, 2015 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2015), Chengdu, China, pp. 99-104, 2015.
  13. D. Wang, L. Chen, D. Piscarreta, K.W. Tam, “Classification and Regression of Ultra Wide Band Signals”, 2015 Chinese Automation Congress (CAC 2015), Wuhan, China, pp. 1907-1912, 2015.
  14. Q. Feng, L. Chen, C.L.P. Chen, “Optimize Real-valued RBM with Bidirectional Autoencoder”, 2015 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2015), Yilan, Taiwan, pp. 22-27, 2015.
  15. J. Duan, L. Chen, C.L.P. Chen, “Region-Based Multi-focus Image Fusion Using Guided Filtering and Greedy Analysis”, 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015), Hong Kong, China, pp. 2932-2937, 2015.
  16. J. Zhou, C.L.P. Chen, L. Chen, “Maximum-Entropy-Based Multiple Kernel Fuzzy C-Means Clustering Algorithm”, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014), San Diego, California, pp. 1198-1203, 2014.
  17. D. Wang, L. Chen, D. Piscarreta, K.W. Tam, “Clustering of Ultra Wide Band Signals”, 2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2014), Kaohsiung, Taiwan, pp. 138-143, 2014.
  18. W. Gai, D. Chen, J. Yin, L. Chen, “High-speed Maglev Parallel Control and Management System-Overview and Framework”, 2014 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2014), Qingdao, China, pp. 24-28, 2014.
  19. J. Duan, L. Chen, C.L.P. Chen, “A New Method Based on Wavelet and Greedy Pusuit Analysis for Neuro-Spike Detection”, 2014 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2014), Qingdao, China, pp. 74-78, 2014.
  20. L. Chen, J. Zou, C.L.P. Chen, “Kernel Non-Local Shadowed C-Means for Image Segmentation”, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Beijing, China, pp. 2085-2090, 2014.
  21. J. Zou, L. Chen, C.L.P. Chen, “Shadowed C-Means for Image Segmentation Using Local and Non-local Spatial Information”, 2013 IEEE International Conference on Systems, Man, and Cybernetics(SMC 2013), Manchester, United Kingdom, pp. 3933-3938, 2013.
  22. J. Zou, L. Chen, C.L.P. Chen, “Ensemble Fuzzy C-Means Clustering Algorithms based on KL-Divergence for Medical Image Segmentation”, 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2013), Shanghai, China, pp. 291-296, 2013.
  23. J. Zhou, C.L.P. Chen, L. Chen, “Multi-attribute Decision Making for Data-centric Routing in Wireless Sensor Network”, 2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2013), Taipei, Taiwan, pp. 429-434, 2013.
  24. J. Zhou, C.L.P. Chen, L. Chen, “A Small-scale Traffic Monitoring System in Urban Wireless Sensor Networks”, 2013 IEEE International Conference on Systems, Man, and Cybernetics(SMC 2013), Manchester, United Kingdom, pp. 4929-4934, 2013.
  25. L. Jinbo, L. Chen, C.L.P. Chen, “Regional Multi-Focus Image Fusion Using Clarity Enhanced Image Segmentation and Sparse Representation”, 2013 Chinese Automation Congress (CAC 2013), Changsha, China, pp. 161-166, 2013.
  26. L. Chen, J. Zou, C.L.P. Chen, “Image Segmentation Using Shadowed C-Means and Kernel Method”, 2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2013), Taipei, Taiwan, pp. 374-379, 2013.
  27. J. Zhou, C.L.P. Chen, L. Chen, “Parallel Attribute-Weighted Fuzzy C-Means Algorithm for Clustering”, 2012 International Conference on System Science and Engineering (ICSSE 2012), Dalian, China, pp. 96-101, 2012.
  28. J. Li, L. Chen, “PKFCM-Proximity based Kernel Fuzzy C-Means for Semi-supervised Data Clustering”, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2012), Seoul, Korea (South), pp. 581-586, 2012.
  29. L. Chen, K. Petritis, T. Tegeler, B. Petritis, W.E. Haskins, J.M. Zhang, “Improved Quantification of Labeled LC-MS”, 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2011), Atlanta, USA, pp. 299-303, 2011.

Services

Professional Services (2011 – present)

  • Organizing Committee Member:
    • The 7th International Conference on Cloud Computing and Big Data (CCBD2016), Macau, China
    • 2016 International Conference on Functional- Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA 2016), Qingdao, China
    • The Eighth Chinese Conference on Social Computing, 2016, Beijing, China
    • 2016 IEEE International Conference on Advanced Robotics and Mechatronics, Macau, China
    • 2016 International Conference on Informative and Cybernetics for Computational Social Systems, Jinzhou, China
    • The Seventh Chinese Conference on Social Computing, 2015, Fuzhou, China
    • 2015 Chinese Automation Congress, Nov 27-29, Wuhan, China
    • 2015 International Conference on Informative and Cybernetics for Computational Social Systems, Aug 13-15, Chengdu, China
    • 2014 IEEE International Conference on Systems, Man, and Cybernetics, Oct. 5-8, 2014, San Diego, CA, USA
    • 2013 Chinese Automation Congress, 7-8 Nov, Changsha, China
    • 2012 IEEE International Conference on Systems, Man, and Cybernetics, Oct 14-Oct 17, Seoul, Korea
    • 2012 International Conference on System Science and Engineering, Jun. 30-Jul 2, 2012, Dalian, China
    • 2011 International Conference on System Science and Engineering, Jun. 8-10, 2011, Macau, China
    • 2009 IEEE International Conference on Systems, Man, and Cybernetics, Oct. 11-14, 2009, San Antonio, Texas, USA
  • Editor Board Member and Reviewer:
    • Editorial board member, IEEE/CAA Journal of Automatica Sinica
    • Editorial board member, of JETWI(Journal of Emerging Technologies in Web Intelligence)
    • Reviewer, Research Postgraduate Scholarship Fund of Xi’an Jiaotong-Liverpool University​
    • Reviewer, IEEE Trans on SMC Part B
    • Reviewer, IEEE Trans Cybernetics
    • Reviewer, IEEE Trans on Fuzzy Systems
    • Reviewer, IEEE Trans on Image Processing
    • Reviewer, IEEE Trans on Neural Networks and Learning Systems
    • Reviewer, IEEE Trans on Intelligent Transportation Systems
    • Reviewer, Engineering Applications of Artificial Intelligence,
    • Reviewer, Biomedical Signal Processing and Control,
    • Reviewer, IET Image Processing
    • Reviewer, Soft Computing
    • Reviewer, International Journal of Advanced Computer Technology (IJACT)
    • Reviewer, Optic communications
    • Reviewer, Neurocomputing
    • Reviewer, International Journal of Fuzzy Systems
    • Reviewer, Neural Computation and Application
    • Reviewer, SpringerPlus
    • Reviewer, PLOS ONE

Community Services (2011 – present)

  • Project Expert, The Ninth GHMC Youth Work Skill Competition, DSAL Macau SAR
  • Supporter of Pui Ching Middle School Macau for Intel ISEF, 2014, Students won the Team First Award from the IEEE Computer Society and the Fourth Award from Association for Computing Machinery (ACM)
  • Research Group Member on TV services in Macau, Bureau of Telecommunications Regulation of Macao SAR
  • Project Expert, The Eighth GHMC Youth Work Skill Competition, DSAL Macau SAR
  • 2016 Robotics and Artificial Intelligence Summer Camp 
  • 2015 Robotics and Artificial Intelligence Summer Camp 
  • 2014 Robotics and Artificial Intelligence Summer Camp 
  • 2013 Robotics and Artificial Intelligence Summer Camp 
  • 2012 Robotics and Artificial Intelligence Summer Camp
  • 2013 Science and Technology Week Macau 
  • 2012 Science and Technology Week Macau
  • Member of Investigation Workgroup of CTM’S Network Outage on 6 February 2012, Bureau of Telecommunications Regulation of Macao SAR

Professional Affiliations

  • IEEE

Contact Details

Faculty of Science and Technology
University of Macau, E11
Avenida da Universidade, Taipa,
Macau, China

Room: E11-4014
Telephone: (853) 8822-8459
Fax: (853) 8822-2426
Email: longchen