{"id":44823,"date":"2024-08-27T16:24:45","date_gmt":"2024-08-27T08:24:45","guid":{"rendered":"https:\/\/www.fst.um.edu.mo\/personal\/?page_id=44823"},"modified":"2026-04-02T15:47:02","modified_gmt":"2026-04-02T07:47:02","slug":"research","status":"publish","type":"page","link":"https:\/\/www.fst.um.edu.mo\/personal\/zxyang\/research\/","title":{"rendered":"RESEARCH"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"44823\" class=\"elementor elementor-44823\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-dffc617 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"dffc617\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-92d7cad\" data-id=\"92d7cad\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t<a class=\"eael-wrapper-link-9924ebd --eael-wrapper-link-tag\" href=\"https:\/\/www.um.edu.mo\/\"><\/a>\t\t<div data-eael-wrapper-link=\"eael-wrapper-link-9924ebd\" class=\"elementor-element elementor-element-9924ebd elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"9924ebd\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.um.edu.mo\/\">\n\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"640\" height=\"188\" src=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2024\/08\/UM-Logo_H-White-1-1024x301-1.png\" class=\"attachment-large size-large wp-image-44743\" alt=\"\" srcset=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2024\/08\/UM-Logo_H-White-1-1024x301-1.png 1024w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2024\/08\/UM-Logo_H-White-1-1024x301-1-300x88.png 300w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2024\/08\/UM-Logo_H-White-1-1024x301-1-768x226.png 768w\" sizes=\"(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw \/ 12)), (min-width: 53rem) calc(6 * (100vw \/ 12)), 100vw\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-e74fb5c\" data-id=\"e74fb5c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8ef9d39 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"8ef9d39\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.fst.um.edu.mo\/\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"501\" height=\"120\" src=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2024\/08\/FST-Logo_H-White.png\" class=\"attachment-large size-large wp-image-44741\" alt=\"\" srcset=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2024\/08\/FST-Logo_H-White.png 501w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2024\/08\/FST-Logo_H-White-300x72.png 300w\" sizes=\"(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw \/ 12)), (min-width: 53rem) calc(6 * (100vw \/ 12)), 100vw\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-b69cda1\" data-id=\"b69cda1\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-40464eb elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"40464eb\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/skliotsc.um.edu.mo\/\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"300\" height=\"100\" src=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2026\/04\/iotst_new_2-300x100.png\" class=\"attachment-medium size-medium wp-image-58922\" alt=\"\" srcset=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2026\/04\/iotst_new_2-300x100.png 300w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2026\/04\/iotst_new_2-1024x340.png 1024w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2026\/04\/iotst_new_2-768x255.png 768w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2026\/04\/iotst_new_2.png 1362w\" sizes=\"(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw \/ 12)), (min-width: 53rem) calc(6 * (100vw \/ 12)), 100vw\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-a68027a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a68027a\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-20 elementor-top-column elementor-element elementor-element-fe9b3d6\" data-id=\"fe9b3d6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-be68170 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"be68170\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.fst.um.edu.mo\/personal\/zxyang\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">HOME<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-20 elementor-top-column elementor-element elementor-element-89d9026\" data-id=\"89d9026\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-66c4102 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"66c4102\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.fst.um.edu.mo\/personal\/zxyang\/biography\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">BIOGRAPHY<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-20 elementor-top-column elementor-element elementor-element-5a1274c\" data-id=\"5a1274c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-08c0baf elementor-align-center elementor-widget elementor-widget-button\" data-id=\"08c0baf\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.fst.um.edu.mo\/personal\/zxyang\/research\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">RESEARCH<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-20 elementor-top-column elementor-element elementor-element-571b8b7\" data-id=\"571b8b7\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-df4566e elementor-align-center elementor-widget elementor-widget-button\" data-id=\"df4566e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.fst.um.edu.mo\/personal\/zxyang\/achievent\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">ACHIEVEMENT<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-20 elementor-top-column elementor-element elementor-element-82f62d5\" data-id=\"82f62d5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-591e4c5 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"591e4c5\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.fst.um.edu.mo\/personal\/zxyang\/group\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">GROUP<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-f286722 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f286722\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f7b21b1\" data-id=\"f7b21b1\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-95d490b elementor-widget elementor-widget-spacer\" data-id=\"95d490b\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a18f61 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"6a18f61\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Research Areas<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-55897a0 elementor-widget elementor-widget-text-editor\" data-id=\"55897a0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span lang=\"EN-US\">Prof. YANG\u2019s work focuses on prognostic health monitoring and robotics technologies for intelligent safety monitoring in smart cities. Fundamental research studies data-driven condition monitoring of electromechanical equipment in<\/span>\u00a0the Internet of Things<span lang=\"EN-US\">\u00a0environment with a focus on multimodal signals processing, intelligent diagnosis, and resilience dynamic monitoring. Critical research on robotics includes machine vision-based perception, 3D shape recognition, and agile robot control for safety monitoring applications.\u00a0<\/span><\/p><p><span lang=\"EN-US\">Research areas include:<\/span><\/p><ul><li>Intelligent Fault Diagnosis and Prognostic Health Management of engineering system<\/li><li>Safe Service Guarantee of distributed heterogeneous urban equipment<\/li><li>Machine Learninhg based robot perception and control for safety monitoring<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-50e7cdf elementor-widget elementor-widget-spacer\" data-id=\"50e7cdf\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-89e7853 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"89e7853\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cad9c9f\" data-id=\"cad9c9f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1fe9a01 elementor-widget elementor-widget-heading\" data-id=\"1fe9a01\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Intelligent Fault Diagnosis and Prognostic Health Management<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec301a8 elementor-widget elementor-widget-spacer\" data-id=\"ec301a8\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-e2244c0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e2244c0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-210c14f\" data-id=\"210c14f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0601081 elementor-widget elementor-widget-heading\" data-id=\"0601081\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Review of intelligent fault diagnosis for rotating machinery under imperfect data conditions<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2f4c80 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"b2f4c80\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This study, based on an in-depth analysis of existing methods, proposes a new inductive framework for multi-sensor fusion and builds a multi-platform, multi-sensor experimental setup to collect a rotating machinery dataset covering multiple modalities, devices, operating conditions, and fault types. Compared with existing public datasets, this dataset is larger in scale, more comprehensive in fault categories, richer in monitoring information, and thus of greater research value. In addition, the study reviews recent advances such as graph neural networks, attention mechanisms, federated learning, and transfer learning, systematically summarizes 120 related papers, compares the differences, advantages, and limitations of traditional approaches and deep learning models, and synthesizes the latest progress to inspire future research.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-fde091d\" data-id=\"fde091d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f76b945 elementor-widget elementor-widget-image\" data-id=\"f76b945\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"551\" src=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-172142.png\" class=\"attachment-large size-large wp-image-54536\" alt=\"\" srcset=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-172142.png 876w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-172142-300x258.png 300w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-172142-768x661.png 768w\" sizes=\"(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw \/ 12)), (min-width: 53rem) calc(6 * (100vw \/ 12)), 100vw\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-538967f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"538967f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-67b23ac\" data-id=\"67b23ac\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2b99193 elementor-widget elementor-widget-spacer\" data-id=\"2b99193\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-6f4dcd9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6f4dcd9\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-8ae8d6e\" data-id=\"8ae8d6e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d7666e6 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"d7666e6\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"318\" src=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-172535-1024x509.png\" class=\"attachment-large size-large wp-image-54540\" alt=\"\" srcset=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-172535-1024x509.png 1024w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-172535-300x149.png 300w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-172535-768x381.png 768w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-172535.png 1037w\" sizes=\"(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw \/ 12)), (min-width: 53rem) calc(6 * (100vw \/ 12)), 100vw\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-71d4e45\" data-id=\"71d4e45\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bc52ee3 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"bc52ee3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Physical-Knowledge-Guided and Interpretable Deep Neural Networks for Gear Fault Severity Level Diagnosis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f0c5547 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"f0c5547\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Deep-learning (DL) models achieve strong fault diagnosis but lack interpretability. Class activation mapping (CAM) improves transparency without enhancing accuracy. To overcome this, we propose a gradient-weighted CAM\u2013based physically meaningful regularization (PMR) with a two-step backpropagation algorithm, guiding models to focus on relevant frequency bands. The resulting physics-guided models deliver higher accuracy and stronger interpretability, validated on two multi-severity fault datasets.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-2ecdfa4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2ecdfa4\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-96b5160\" data-id=\"96b5160\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-74316a5 elementor-widget elementor-widget-spacer\" data-id=\"74316a5\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-544d7be elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"544d7be\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-c0f1bd6\" data-id=\"c0f1bd6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-03785b2 elementor-widget elementor-widget-heading\" data-id=\"03785b2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">A comprehensive gear eccentricity dataset with multiple fault severity levels: Description, characteristics analysis, and fault diagnosis applications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2ade0e elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"b2ade0e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>UM-GearEccDataset<\/strong> is a new gear eccentricity dataset with adjustable fault severity levels, recording 11-channel multimodal signals under diverse conditions. Validated through spectral analysis and deep-learning methods, it provides clear, reliable fault features, offering a solid resource for intelligent fault diagnosis and mechanism studies.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-184ead5\" data-id=\"184ead5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5e94d5e elementor-widget elementor-widget-image\" data-id=\"5e94d5e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"290\" src=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-173407.png\" class=\"attachment-large size-large wp-image-54541\" alt=\"\" srcset=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-173407.png 1001w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-173407-300x136.png 300w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-173407-768x348.png 768w\" sizes=\"(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw \/ 12)), (min-width: 53rem) calc(6 * (100vw \/ 12)), 100vw\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-ef70887 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ef70887\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8c32c9d\" data-id=\"8c32c9d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f135e32 elementor-widget elementor-widget-spacer\" data-id=\"f135e32\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-77f44c2 elementor-widget elementor-widget-heading\" data-id=\"77f44c2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Machine Learning based robot perception and control for safety monitoring<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0b4c6fe elementor-widget elementor-widget-spacer\" data-id=\"0b4c6fe\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-c1b9a57 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c1b9a57\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-dff051c\" data-id=\"dff051c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-99265b6 elementor-widget elementor-widget-heading\" data-id=\"99265b6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Fusion-Perception-to-Action Transformer: Enhancing Robotic Manipulation with 3D Visual Fusion Attention and Proprioception<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-db320bf elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"db320bf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Most robot learning relies on images, limiting 3\u2011D manipulation. We propose FP2AT, combining voxel features, multiscale attention, and proprioceptive encoding with a coarse\u2011to\u2011fine strategy. Validated in simulation and real robots, FP2AT achieves superior accuracy and efficiency over state\u2011of\u2011the\u2011art methods.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-78da478\" data-id=\"78da478\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-408a170 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"408a170\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"286\" src=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-174811-1024x457.png\" class=\"attachment-large size-large wp-image-54542\" alt=\"\" srcset=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-174811-1024x457.png 1024w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-174811-300x134.png 300w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-174811-768x343.png 768w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-174811.png 1247w\" sizes=\"(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw \/ 12)), (min-width: 53rem) calc(6 * (100vw \/ 12)), 100vw\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-adcc029 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"adcc029\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-82d238a\" data-id=\"82d238a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-df90272 elementor-widget elementor-widget-spacer\" data-id=\"df90272\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-c265898 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c265898\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-38fb47c\" data-id=\"38fb47c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a0b4002 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"a0b4002\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"371\" src=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-175430.png\" class=\"attachment-large size-large wp-image-54543\" alt=\"\" srcset=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-175430.png 936w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-175430-300x174.png 300w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-175430-768x445.png 768w\" sizes=\"(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw \/ 12)), (min-width: 53rem) calc(6 * (100vw \/ 12)), 100vw\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-e847023\" data-id=\"e847023\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0b7862f elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"0b7862f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Robustly solving PnL problem using Clifford tori<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8d44099 elementor-widget elementor-widget-text-editor\" data-id=\"8d44099\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The Perspective-n-Line (PnL) problem, which estimates absolute camera pose from 3D\u20132D line correspondences, is fundamental in computer vision and robotics but is often affected by noise and mismatches. To address this, we propose a robust solution showing that candidate rotations lie on a Clifford torus, with orientation obtained from the intersections of multiple tori and translation solved through linear fitting. This formulation enhances robustness to noise and outliers while simplifying computation. Extensive experiments demonstrate that the method achieves accurate and reliable pose estimation, outperforming existing approaches under challenging conditions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-8b8e376 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8b8e376\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e1d62fb\" data-id=\"e1d62fb\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4f101ca elementor-widget elementor-widget-spacer\" data-id=\"4f101ca\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-7645825 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7645825\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-478aa3c\" data-id=\"478aa3c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c458480 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"c458480\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-509c602 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"509c602\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Accurate multi-view 3D object detection is crucial for autonomous driving, yet bridging LiDAR\u2013camera representation gaps remains challenging. We propose <strong>TiGDistill-BEV<\/strong>, which distills LiDAR knowledge into camera-based BEV detectors via a Target Inner-Geometry scheme. Two key modules are introduced: inner-depth supervision to capture object-level spatial structures, and inner-feature BEV distillation to transfer high-level semantics. Inter-channel and inter-keypoint distillation further reduce domain gaps. Experiments on nuScenes show TiGDistill-BEV achieves state-of-the-art performance with 62.8% NDS, surpassing prior methods.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-b76fba8\" data-id=\"b76fba8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5c39da8 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"5c39da8\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"406\" src=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-180437-1024x650.png\" class=\"attachment-large size-large wp-image-54544\" alt=\"\" srcset=\"https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-180437-1024x650.png 1024w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-180437-300x191.png 300w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-180437-768x488.png 768w, https:\/\/www.fst.um.edu.mo\/personal\/wp-content\/uploads\/2025\/11\/\u5c4f\u5e55\u622a\u56fe-2025-11-03-180437.png 1313w\" sizes=\"(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw \/ 12)), (min-width: 53rem) calc(6 * (100vw \/ 12)), 100vw\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-5caa5d0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5caa5d0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-42a3634\" data-id=\"42a3634\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fedd17c elementor-widget elementor-widget-spacer\" data-id=\"fedd17c\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-03ce597 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"03ce597\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Research Projects<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-30dde39 elementor-widget elementor-widget-text-editor\" data-id=\"30dde39\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul>\n<li>Principal Investigator,&nbsp;<em>Research and application of multi-modal sensing and data-driven intelligent process planning technology for industrial robot<\/em>, Macao Science and Technology Development Fund Key R&amp;D Project, 2020-2023.<\/li>\n<li>Principal Investigator,&nbsp;<em>Research and Application for Intelligent Detection of Packaging Quality about Semiconductor Devices<\/em>, Joint research project funded by the Ministry of Science and Technology and the Macao Science and Technology Development Fund, 2024-2026.<\/li>\n<li>Principal Investigator,&nbsp;<em>Development of a Safety Guaranteed Surgical Navigation System Based on Globally Optimal Registration Algorithm<\/em>, Macao Science and Technology Development Fund Project, 2023-2026.<\/li>\n<li>Principal Investigator,&nbsp;<em>Research and application of 3D robotics vision based intelligent self-positioning manufacturing and compliance control<\/em>, Guangdong Provincial Department of Science and Technology &#8211; Special Topic on the Transformation of Hong Kong and Macao Scientific and Technological Achievements, 2023-2024.<\/li>\n<li>Principal Investigator,&nbsp;<em>Safety evaluation and maintenance management of key on board electromechanical equipment of Rail Transit in Great Bay Area<\/em>, Guangdong-Guangzhou Joint Fund Guangdong-Hong Kong-Macao Research Team Project, 2020-2024.<\/li>\n<li>Principal Investigator,&nbsp;<em>Integrated Elevator safety monitoring big data system and application in smart community<\/em>, UM-Huafa Group Joint Lab Fund, 2022-2025.<\/li>\n<li>Principal Investigator,&nbsp;<em>Key technologies and applications for robust production of welding equipment<\/em>, Guangzhou International Science and Technology Cooperation Project, 2023-2025.<\/li>\n<li>Principal Investigator,&nbsp;<em>Vertical traffic safety monitoring empowers the construction of smart communities<\/em>, Zhuhai Science and Technology Innovation Bureau Hong Kong and Macao Cooperation Project, 2023-2025.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>HOME BIOGRAPHY RESEARCH ACHIEVEMENT GROUP Research Areas Prof. YANG\u2019s work focuses on prognostic health monitoring and robotics technologies for intelligent safety monitoring in smart cities. Fundamental research studies data-driven condition monitoring of electromechanical equipment in\u00a0the Internet of Things\u00a0environment with a focus on multimodal signals processing, intelligent diagnosis, and resilience dynamic monitoring. Critical research on robotics &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.fst.um.edu.mo\/personal\/zxyang\/research\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;RESEARCH&#8221;<\/span><\/a><\/p>\n","protected":false},"author":79,"featured_media":0,"parent":44736,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_canvas","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-44823","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/pages\/44823","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\/79"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/comments?post=44823"}],"version-history":[{"count":10,"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/pages\/44823\/revisions"}],"predecessor-version":[{"id":58955,"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/pages\/44823\/revisions\/58955"}],"up":[{"embeddable":true,"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/pages\/44736"}],"wp:attachment":[{"href":"https:\/\/www.fst.um.edu.mo\/personal\/wp-json\/wp\/v2\/media?parent=44823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}