جستجوی استاد راهنمای دانشگاهی

Li Chenمشاهده پروفایل

استاد

• Conversational AI
• Explainable AI
• Recommender Systems
• +۷ مورد دیگر

Professor Li Chen is a full Professor and Associate Head (Research) in the Department of Computer Science at Hong Kong Baptist University (HKBU), with an affiliate appointment at the Academy of Wellness and Human Development. She leads the Positive Intelligence Lab , focusing on intelligent technologies for human well-being. Her research spans conversational AI, explainable AI, recommender systems, and human-computer interaction. Education: PhD in Computer Science, Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland (Nominee for Best PhD Thesis Award) Master in Computer Software and Theory, Peking University, China Bachelor in Computer Science, Peking University, China Her research interests revolve around personalized conversational and explainable AI, with applications in entertainment, education, e-commerce, and mental well-being. She has published over 150 papers in top venues including ACM TOIS, IJHCS, CHI, SIGIR, AAAI, RecSys, and UMAP . Her work has been recognized with awards such as the RecSys Best Student Paper Award (2024), CHI Honourable Mention (2022), and multiple best paper awards at UMAP and UMUAI. The most recent publications reflect a strong trend toward fair, explainable, and user-centric recommender systems , with increasing integration of large language models , mental health applications , and conversational agents . Her research emphasizes user feedback, negative sampling techniques, and evaluation frameworks grounded in real user behavior. Scientific Awards & Recognition: President’s Award for Outstanding Performance in Teaching (Individual), HKBU (2024/25) President’s Award for Outstanding Performance in Research Supervision (2022/23) World’s Top 2% Most-Cited Scientists, Stanford University (2021–2024) ACM Senior Member (2015) RecSys’24 Best Student Paper Award CHI’22 Honourable Mention Award UMAP’20 Best Student Paper Award UMUAI 2018 Best Paper Award THE Awards Asia 2021 Excellence and Innovation in the Arts (Co-I) Professor Chen is actively involved in mentoring PhD and Master’s students such as Wanling Cai and Yuhan Zhao, who have co-authored award-winning papers. She has secured research funding through grants like the HKBU IRCMS Project. Her editorial leadership includes serving as Co-Editor-in-Chief of ACM Transactions on Recommender Systems (TORS) , Associate Editor for ACM TiiS , and Editorial Board Member for UMUAI . She has chaired major conferences including ACM RecSys’23 (General Co-Chair), RecSys’20 (Program Co-Chair), and UMAP’18 (Program Co-Chair). She leads the Positive Intelligence Lab , which conducts interdisciplinary research on AI for well-being. The lab has developed datasets like the Intent Annotation of Recommendation Dialogue (IARD) and focuses on user-centric AI design, mental health chatbots, and personalized recommendation interfaces.

Yan Tina Luximonمشاهده پروفایل

استاد

• Ergonomic design
• Anthropometry
• 3D digital human modeling
• +۶ مورد دیگر

Prof. Yan Tina Luximon is a Full Professor and Associate Dean (Research) at the School of Design, The Hong Kong Polytechnic University. She chairs the School Research Committee, leads the Asian Ergonomics Design Lab, and serves as Deputy Discipline Leader for BA (Product Design). Her work bridges ergonomics, AI design tools, and 3D human modeling in cross-cultural contexts. Education: PhD in Ergonomics from The Hong Kong University of Science and Technology Research interests span Ergonomics in product design 3D digital human modeling for AI applications Anthropometry and cultural design differences Statistical modeling for head/face product development Human-computer interaction and AI visualization Recent publications focus on AI-enhanced 3D head modeling, ergonomic healthtech products, and cross-cultural design psychology, with applications in robotics, mobile technology, and medical devices. Scientific awards include: Gold Medal with jury congratulations at Geneva Inventions 2024 Silver Award at IDEA 2023 for adaptive eyewear design Best Innovation Award at ACED Japan 2017 She supervises postgraduate research and leads projects funded by the General Research Fund (RGC GRF) and Laboratory for AI in Design, including AI Powered Ergonomic Product Design (2025) and 4D Head Movement Prediction (2024).

Zhiyi Huangمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Algorithmic Game Theory
• Online Algorithms
• +۳ مورد دیگر

Zhiyi Huang is an Associate Professor of Computer Science at the University of Hong Kong, leading the Computer Science Division within the School of Computing and Data Science. He holds a PhD from the University of Pennsylvania (2013) and completed a postdoctoral fellowship at Stanford University (2013–2014). His research focuses on Theoretical Computer Science, Algorithmic Game Theory, Online Algorithms, and Differential Privacy, with notable contributions to Machine Learning and Computer Networks. Education: PhD in Computer and Information Science, University of Pennsylvania (2013) Postdoctoral Researcher, Stanford University (2013–2014) Bachelor's Degree from the Yao Class at Tsinghua University (2008) Research interests span foundational areas including algorithmic game theory, online optimization, and privacy-preserving mechanisms. He has pioneered work on revenue maximization in single-parameter settings and developed novel frameworks for analyzing price of anarchy in game theory. Key Awards: Early Career Award (Research Grant Council of Hong Kong, 2014) Best Paper Award at ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2015) Morris and Dorothy Rubinoff Dissertation Award (2013) Simons Graduate Fellowship in Theoretical Computer Science (2012–2013) Recent grants include studies on algorithmic foundations of Bayesian mechanism design (HK$675,647), online primal dual techniques (HK$496,028), and privacy-preserving mechanisms (HK$931,737). His work bridges theoretical advancements with practical applications in healthcare, autonomous systems, and cybersecurity. Notable Projects: Medical predictive systems for acute cardiopulmonary events AI-driven maritime navigation using AIS data Secure federated learning frameworks with blockchain

Dan Wangمشاهده پروفایل

استاد

• Network Architecture
• Quality-of-Service (QoS)
• Smart Building
• +۵ مورد دیگر

Dan Wang is a Professor in the Department of Computing at The Hong Kong Polytechnic University. He holds a B.Sc. from Peking University, M.Sc. from Case Western Reserve University, and Ph.D. from Simon Fraser University, all in Computer Science. Expertise: Network Architecture, QoS, Smart Building, Big Data, Industry 4.0 Awarded ACM Distinguished Scientist 2023 for contributions to cyber-physical energy systems Recipient of Best Paper Awards at ACM Buildsys (2018), ACM e-Energy (2018), and multiple conference recognitions Research focuses on smart building energy systems, edge computing, and applied AI in industry. Active in organizing conferences like ACM Buildsys 2024 (TPC Co-Chair) and ACM e-Energy 2022 (General Co-Chair). Advises 5-7 students annually, with current Ph.D. candidates and postdocs working on edge computing and AI applications. Former students hold roles at Tencent, Huawei, and JD.com.

• Astrophysics
• Galaxy Formation
• Stellar Population Synthesis
• +۳ مورد دیگر

Meng Gu is an Assistant Professor in the Department of Physics at The University of Hong Kong, where she conducts research on galaxy formation and stellar population synthesis. She holds the prestigious HKU-100 Scholar position and specializes in understanding the physical mechanisms driving the interplay between star formation and galaxy mass assembly. Education: Bachelor of Science (BSc) from Nanjing University (NJU) Master of Arts (MA) from Harvard University PhD from Harvard University, completed with Prof. Charlie Conroy Prof. Gu's research addresses fundamental questions in astrophysics regarding the stellar initial mass function of galaxies, its global and local variations, and implications for mass measurements. She investigates how environmental factors shape galaxy formation and evolution, particularly focusing on how massive galaxies grow and what spatial information of stellar populations reveals about these processes. Her work combines observational data with advanced modeling techniques to unravel the complex history of galaxy assembly. Analysis of Prof. Gu's publications reveals a consistent focus on massive galaxy evolution, with particular emphasis on the stellar initial mass function, galaxy cluster dynamics, and ultra-diffuse galaxies. Her research spans observational astronomy using major telescope facilities, theoretical modeling, and computational cosmology. The progression of her work shows increasing sophistication in connecting observational data with theoretical frameworks to understand galaxy formation mechanisms. Scientific Awards: HKU-100 Scholar Henry Norris Russell postdoctoral fellow at Princeton University Prof. Gu has secured research funding to utilize major observational facilities including Magellan Telescopes, ESO's Very Large Telescope, and the Sloan Digital Sky Surveys. She is preparing to leverage next-generation facilities like the James Webb Space Telescope (JWST) and Subaru Prime Focus Spectrograph (PFS) survey for future research. Her collaborative work spans multiple international institutions, reflecting the global nature of modern astrophysics research. Prof. Gu is actively involved in observational astronomy projects and collaborates with major research groups working on galaxy evolution. Her work with the MASSIVE survey represents a significant contribution to understanding the most massive galaxies in the nearby universe, utilizing high-quality spectroscopic data to constrain fundamental properties of stellar populations.

Johan F. Hoornمشاهده پروفایل

استاد

• Social Robotics
• Computational Creativity
• AI and Design
• +۵ مورد دیگر

Johan F. Hoorn is an Interfaculty Full Professor at The Hong Kong Polytechnic University, jointly affiliated with the School of Design and the Department of Computing. He is also the Associate Director of PolyU Academy for Interdisciplinary Research and Research Institute for Quantum Technology. PhD in General Literature and Computer Science Recipient of multiple national and international awards Active in RGC Theme-based Research Scheme (2025-2029) Research interests span social robotics, affective computing, quantum cognition, and the observer effect. His work focuses on integrating AI with human psychology to address mental health challenges and enhance creativity. Recent articles highlight trends in human-robot empathy, quantum probability applications, and AI-assisted artistic innovation. Key subfields include emotional bonding, media inequality, real-time cinematic design, and moral reasoning in robots. Scientific awards include the Huibregtsen Prize (2020), Eureka Award (2015), and Pilot Science Appreciated Award (2021). He was also recognized with a Burgen Scholarship (2001) and Lorentz Fellowship (2010-2011). He leads projects like Negative-mood reduction among HK youth with robot PAL (HK$3M grant) and SELEMCA (M€4.6 grant). His work has been exhibited at leading museums, including the Victoria & Albert Museum (2024).

Zihao Fuمشاهده پروفایل

دانشگاهی

• Large Language Models
• Natural Language Processing
• Machine Learning
• +۷ مورد دیگر

Zihao Fu is a Research Assistant Professor at The Chinese University of Hong Kong (CUHK), specializing in Large Language Models (LLMs) and Natural Language Processing (NLP) . His work bridges computational methods with social sciences, focusing on model instability, repetition, hallucination, and algorithmic fairness. He has held research positions at the Oxford Internet Institute and the Language Technology Lab at the University of Cambridge. Education Ph.D. in Systems Engineering and Engineering Management (2017–2021), CUHK M.Eng. in Aeronautics and Astronautics (2012–2015), Beihang University B.Eng. in Automation Science (2008–2012), Beihang University His research explores the theoretical foundations of LLMs, addressing challenges like repetition , instability , and hallucination . He integrates linguistics , cognitive science , and fairness frameworks to enhance both foundational understanding and real-world applications of language technologies. Recent work includes biomedical NLP applications ( BAND dataset ), parameter-efficient model adaptation, and fairness toolkits ( OxonFair ). Zihao leads projects like BioCaster (disease outbreak monitoring) and CAM-Tool (cloud task distribution). He is actively mentoring postdoctoral researchers at CUHK and CUHK (Shenzhen), with expertise in machine learning , knowledge base integration , and parallel computing systems . His industry experience includes developing distributed algorithms at Alibaba Cloud’s PAI platform.

Margaret Leiمشاهده پروفایل

مدرس

• First and Second Language Acquisition
• Syntax
• Semantics
• +۳ مورد دیگر

Margaret Lei is a Lecturer at the Department of Linguistics and Modern Languages at The Chinese University of Hong Kong . She holds a PhD in Linguistics and actively contributes to research in language acquisition, syntax, and the intersection of language and numerical cognition. Prior to her current position, she served as a Postdoctoral Fellow and Lab Manager at CUHK's Language Acquisition Laboratory and as a part-time lecturer at HKUST. BEng (Information Engineering) - CUHK PgDip (Psychology) - CUHK MA (Linguistics) - CUHK MPhil (Linguistics) - CUHK PhD (Linguistics) - CUHK Research Interests: Margaret specializes in first and second language acquisition , with particular focus on semantics and syntax in Chinese dialects. Her work explores: • Quantifier acquisition in Cantonese and Mandarin • Cardinal/ordinal number development in L1 Cantonese • Language's role in numerical cognition • Syntactic change in Hong Kong Cantonese • Early grammar in Shanghainese-speaking children • Quantifier scope and aspect interaction Scientific Contributions: Her publications demonstrate expertise in quantification theory , aspect interpretation , and tonal language acquisition . She has received special recognition through the Linguistic Society of Hong Kong's 2017 Outstanding PhD Thesis Award. 2017 : Linguistic Society of Hong Kong Outstanding PhD Thesis Award 2022 : CUHK Faculty of Arts Outstanding Teaching Award Teaching Portfolio: At CUHK, she teaches both postgraduate and undergraduate courses including: • Foundations in Language Acquisition (LING5103A/B/C) • Linguistic Argumentation (LING2007/2008) • Language Acquisition for Speech-Language-Pathology (SLPA5403) Her work extends to interdisciplinary collaboration with the Faculty of Medicine's Speech Therapy Division.

John Shi Wen-zhongمشاهده پروفایل

استاد

• Urban Informatics for Smart Cities
• Geographic Information Science and Remote Sensing
• Artificial Intelligence-based Object Extraction and Change Detection from Satellite Imagery
• +۲ مورد دیگر

Professor John Shi Wen-zhong is Chair Professor of Geographical Information Science and Remote Sensing at The Hong Kong Polytechnic University, where he serves as Head of the Department of Land Surveying and Geo-Informatics. He also holds leadership positions as Director of the Otto Poon Charitable Foundation Smart Cities Research Institute and Director of the PolyU-Shenzhen Technology and Innovation Research Institute (Futian). Professor Shi is recognized as an international leader in uncertainty modeling and quality control for spatial data and spatial analyses, with contributions dating back to the 1990s. He currently serves as President of the International Society for Urban Informatics and Editor-in-Chief of the international journal Urban Informatics. Professor Shi's research focuses on urban informatics for smart cities, geographical information science and remote sensing, artificial intelligence-based object extraction and change detection from satellite imagery, intelligent analytics and quality control for spatial big data, and mobile mapping and 3-D modelling based on LiDAR and remote sensing imagery. His work has solved fundamental uncertainty issues in spatial data and spatial analyses, making significant contributions to geographical information science. He has authored over 300 research articles in Web of Science-indexed journals and 20 books, and has been granted 44 patents as of July 2023. Professor Shi has received numerous prestigious awards for his groundbreaking work: ESRI Award for Best Scientific Paper by the American Society for Photogrammetry and Remote Sensing (2006) State Natural Science Award (Second Award), China's highest award for fundamental research (2007) Wang Zhizhuo Award by the International Society for Photogrammetry and Remote Sensing (2012) Founder's Award by the International Spatial Accuracy Research Association (2020) CPGIS Distinguished Scholar Award (2021) Gold Medals at both the 2021 and 2023 Geneva Invention Expos Smart 50 Awards (2021) Gold Medal in Asia International Innovative Invention Exhibition (2023) He is also listed among the world's top 2% most cited researchers according to Elsevier BV's standardized citation indicators. Professor Shi has been elected as an Academician of the International Eurasian Academy of Sciences and is a Fellow of the Academy of Social Sciences (UK), the Royal Institution of Chartered Surveyors, and the Hong Kong Institute of Surveyors.

Can Liuمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Artificial Intelligence
• Spatial Computing
• +۵ مورد دیگر

Dr. Can Liu is an Assistant Professor at the School of Creative Media, City University of Hong Kong, where she leads the ERFI Lab (Laboratory of Empirical Research for Future Interfaces). Her research focuses on designing future interfaces for ubiquitous technologies through empirical understanding of human cognition and behavior, with emphasis on multimodal interaction combining physical and digital elements. Education: PhD in Human-Computer Interaction, Université Paris-Sud (France), INRIA labs ex)situ and ILDA MSc in Media Informatics, RWTH Aachen University (Germany) Dr. Liu's research spans three primary domains: AI-assisted Input (using LLMs/NLP to enhance text manipulation and speech interfaces), Spatial Computing (multimodal interfaces for AR/VR and large displays), and Hybrid/Remote Collaboration (supporting intuitive remote interaction through understanding collocated collaboration). Her work integrates empirical user studies with real-world system deployments in public spaces. Recent publications demonstrate strong trends toward LLM-integrated interfaces, wearable computing applications, and novel interaction techniques for foldable devices. Her team consistently publishes at top venues including CHI, UIST, and CSCW, with increasing focus on practical AI integration for everyday tasks. Awards and Recognition: Best Paper Award at ACM CHI 2014 (top 1%) Honourable Mention at ACM CHI 2012 (top 5%) Dr. Liu actively mentors PhD students and researchers while securing substantial research funding including Google Faculty Research Awards, National Natural Science Foundation grants, and RGC Early Career Schemes. She serves on numerous program committees including ACM CHI (Associate Chair 2024, 2022, 2021, 2020, 2019, 2017) and co-organizes research initiatives like the HCIX Summer Research Program. Her laboratory ecosystem includes the ERFI Lab, affiliation with the Augmented Materiality Lab and Kowloon Interaction Center, and active participation in the Greater Bay HCI community, supporting both fundamental research and industry collaboration with partners including Google, Huawei, and Lenovo.

Xiaoyu Zhangمشاهده پروفایل

استادیار

• data visualization
• visual analytics
• human-computer interaction
• +۶ مورد دیگر

Xiaoyu Zhang is a tenure-track Assistant Professor at the School of Creative Media, City University of Hong Kong , where she conducts research at the intersection of computer science and art design. Her work focuses on integrating data visualization and artificial intelligence (particularly natural language processing ) for applications in education , smart manufacturing , and human well-being . She previously held a Postdoc Research Fellow position at the ETH AI Center , Zurich, and earned her Ph.D. in Computer Science from University of California, Davis under Prof. Kwan-Liu Ma, a Master’s from Zhejiang University, and a dual bachelor’s in Digital Media Art/Advertising from Xiamen University. Ph.D. in Computer Science, University of California, Davis M.Sc. in Computer Science, Zhejiang University B.Sc. in Digital Media Art, Xiamen University Her research bridges visual analytics , human-AI collaboration , and explainable AI through interdisciplinary methods. Key application domains include education technology, industrial AI, and health informatics. Recent publications (2021-2025) span venues like IEEE TVCG, IEEE VIS, ACM CHI, and ACL, with a 2022 Honorable Mention Best Paper Award at IEEE VIS. She has also secured multiple US patents and received recognition as UC Davis' Best Graduate Researcher in 2022. She has served as Associate Chair at ACM CHI (2025, 2026), organized the 6th Workshop on Visualization for AI Explainability at IEEE VIS 2023, and contributed to the AI House Davos 2024 committee. Industrial experience includes internships at Meta , Microsoft Research Asia , and Bosch Research . Her teaching portfolio spans courses in Information Visualization , Creative Coding , and Media Computing at CityU, ETH Zurich, and UC Davis.

Shenghua Gaoمشاهده پروفایل

دانشیار

• Spatio-temporal Data Analysis
• Machine Learning
• Database Systems
• +۴ مورد دیگر

Professor Shenghua Gao is an Associate Professor at the School of Computing and Data Science of the University of Hong Kong (HKU), concurrently serving as Assistant Director for Shanghai Initiatives. He holds a PhD from Nanyang Technological University. His research focuses on integrating machine learning, spatio-temporal data analysis, and database systems to address challenges in mobility prediction, traffic management, and geospatial representation learning. He has contributed significantly to trajectory modeling, indexing frameworks for multi-dimensional data, and the application of large language models (LLMs) in spatio-temporal contexts. Key research interests include: Spatio-Temporal Data Science: Developing frameworks for efficient processing and analysis of point cloud, trajectory, and traffic data. Machine Learning for Databases: Innovating indexing algorithms (e.g., BMTree, MAST) and query optimization techniques leveraging ML. Trajectory and Mobility Prediction: Creating personalized models for next-location prediction and transfer learning across regions. Geographic AI (GeoAI): Enhancing road network representation and urban function inference using physics-guided and foundation models. Recent work highlights include the ST-LLM+ framework for traffic prediction, the MAST system for point cloud analytics, and the exploration of City Foundation Models for urban challenges. His publications span top venues in databases (SIGMOD, VLDB) and AI/data science (ICML, NeurIPS). While no awards are explicitly mentioned, his prolific output and leadership roles indicate significant academic contributions. He is actively involved in teaching and supervising research in the School’s undergraduate and postgraduate programs, including MSc(AI) and MPhil/PhD tracks.

Henry Duhمشاهده پروفایل

استاد

• Augmented Reality
• Virtual Reality
• Interaction Design
• +۳ مورد دیگر

Professor Henry Duh is Associate Dean (Global & Industry Engagement) and Full Professor at the School of Design, The Hong Kong Polytechnic University. He also serves as Director of the PolyU-NVIDIA Joint Research Centre and Research Centre for Art and Culture Technology. PhD in Psychology, Industrial Design, and Engineering Postdoctoral Training: NASA-Johnson Space Centre His research focuses on human-centric augmented/virtual reality systems, interaction design, and immersive technologies. With over 150 publications and 6,100 citations, he explores cognitive behaviors in digital environments and develops applications for training, education, and cultural preservation. Recent publications demonstrate expertise in adaptive testing frameworks, VR locomotion mechanics, and AI-driven design tools. His work bridges psychology, computer science, and digital art through interdisciplinary approaches. Editor-in-Chief: Journal of Visual Languages and Computing (Elsevier) FAA certified Advanced Ground Instructor and Private Pilot As principal investigator, he secured millions in grants from institutions like the National Research Foundation Singapore, Australian Research Council, and Microsoft. He collaborates with CISCO, Oracle, and Microsoft to align curricula with industry needs. He has led academic units at University of Tasmania and La Trobe University, and held visiting positions at Tsinghua University and National Taiwan University.

• Security and Reliability of VR/AR Systems
• Internet of Things and Mobile Sensing
• Blockchain and Distributed Systems
• +۷ مورد دیگر

Dr. Henry Hong-Ning Dai is an Associate Professor in the Department of Computer Science at the Faculty of Science, Hong Kong Baptist University (HKBU). He previously held academic positions at Lingnan University and Macau University of Science and Technology, where he advanced from Assistant to Associate Professor. He holds a Ph.D. from the Chinese University of Hong Kong and a D.Eng. from Shanghai Jiao Tong University. Education: Ph.D. in Computer Science and Engineering, Chinese University of Hong Kong (2008) D.Eng. in Computer Technology Application, Shanghai Jiao Tong University (2012) M.Eng. in Computer Science and Engineering, South China University of Technology (2003) B.Eng. in Computer Science and Engineering, South China University of Technology (2000) Dr. Dai's research focuses on security and reliability of VR/AR systems , Internet of Things , blockchain and distributed systems , federated learning , and cyber-physical systems . His work integrates AI, networking, and software engineering to address real-world security and performance challenges in emerging technologies. He has published over 300 papers in top journals and conferences such as IEEE JSAC, TMC, ICSE, INFOCOM, and AAAI, accumulating more than 24,000 citations. The 15 most recent publications (2023–2025) highlight his leadership in VR/AR security (e.g., AcouListener, Meta VR study), blockchain scalability and fairness (e.g., Porygon, Auncel, Justitia), federated and robust learning (e.g., EBS-CFL, FedDP), and edge-AI and wireless security (e.g., HARBOR, Smart Shield). His recent work also explores AI-generated art evaluation and LLM-driven manufacturing systems , showcasing interdisciplinary innovation. Scientific Awards and Recognition: Holder of 1 U.S. patent and 1 Australia innovation patent Winner of more than 17 awards Senior Member of ACM, IEEE, and EAI Dr. Dai has been Principal or Co-Investigator on over 12 research projects totaling HK$16 million, funded by UGC, NSFC, FDCT, and HKBU. He serves as an Associate Editor for IEEE Communications Surveys & Tutorials , IEEE Transactions on Intelligent Transportation Systems , and several other IEEE journals. He has chaired program committees and served on the PC of top conferences including ICSE, KDD, and INFOCOM. He is actively recruiting Ph.D. students and RAs in security, blockchain, and AI. Laboratories and Research Teams: While not explicitly named, Dr. Dai leads a research group focused on secure and intelligent distributed systems, with active projects in blockchain, VR security, and edge AI. His team has developed open-source tools such as VR-SP Detector , PrettySmart , and RLF for smart contract analysis and security assessment.

Wong K.K.Y.مشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Medical Imaging
• +۵ مورد دیگر

Prof. Kenneth K.Y. Wong is an Associate Professor and Division Associate Head (AI & Data Science Division) at the School of Computing and Data Science (CDS), The University of Hong Kong. He holds a BEng from The Chinese University of Hong Kong and MPhil/PhD from the University of Cambridge in Computer Vision. His career spans over 20 years in academia, including roles as Associate Head of the Department (2008-2012) and Programme Director of the BEng(CompSci) programme (2008-2015). Research Focus: Computer Vision, Machine Learning, Medical Imaging, Generative Models Key Roles: Director of Computer Vision Laboratory, Associate Editor of IJCV His research emphasizes camera calibration, 3D model reconstruction, generative AI, and medical image understanding. Over 160 peer-reviewed publications appear in top venues like CVPR, ECCV, and TPAMI. Active in professional service, he serves on program committees of major AI/conference events. Grants include projects in medical imaging (e.g., mitral valve analysis) and autonomous driving (DriveGPT4 series). His lab focuses on cutting-edge topics like video diffusion models, text-to-image synthesis, and 3D avatar generation.