جستجوی استاد راهنمای دانشگاهی

Xihui Liuمشاهده پروفایل

استادیار

• Computer Vision
• Generative Models
• Multimodal AI
• +۴ مورد دیگر

Xihui Liu is an Assistant Professor at the Department of Electrical and Electronic Engineering (EEE) and Institute of Data Science (IDS), The University of Hong Kong, with a courtesy appointment in the Department of Computer Science. She holds a PhD from the Chinese University of Hong Kong and a bachelor’s from Tsinghua University. Her research focuses on generative models, multimodal AI, computer vision, and their applications in embodied AI and AI for Science. Education: PhD in Multimedia Lab (MMLab), Chinese University of Hong Kong (2017–2021) Bachelor’s in Electronic Engineering, Tsinghua University (2013–2017) Research Interests: Generative models for 3D content and multimodal systems Embodied AI and vision-language integration Applications in scientific domains Awards: Adobe Research Fellowship (2020) Rising Stars in EECS (2021) WAIC Rising Stars Award (2022) Her work emphasizes interactive generative systems and benchmarks like T2I-CompBench. She co-organized workshops on multimodal foundation models and embodied AI, and currently serves as Area Chair for CVPR, NeurIPS, and ICLR.

Chao Huangمشاهده پروفایل

استادیار

• Large Language Models
• Graph Learning
• Recommender Systems
• +۳ مورد دیگر

Chao Huang is an Assistant Professor at the Department of Computer Science and Institute of Data Science at the University of Hong Kong (HKU). As the director of the Data Intelligence Lab@HKU, his research focuses on Large Language Models (LLMs), LLM Agents, Graph Learning, Recommender Systems, and AI for Smart Cities. He holds a PhD from the University of Notre Dame. Education: PhD in Computer Science from University of Notre Dame (USA). Research Interests: His work bridges machine learning with practical applications, including: Developing advanced LLM frameworks like GraphGPT and UrbanGPT Creating automated research tools (AutoAgent, AI-Researcher) Designing recommendation systems with LLM integration (RLMRec, LLMRec) Exploring spatio-temporal AI for urban challenges Notable Achievements: Over 11,000 Google Scholar citations (h-index 55), multiple top conference awards (WWW/SIGIR/KDD), and open-source projects with thousands of GitHub stars. His work has been recognized as most influential/pioneering in major AI conferences. Labs/Teams: Leads the Data Intelligence Lab, collaborating on projects like LightRAG, MiniRAG, and VideoRAG. The lab emphasizes open-source contributions with repositories on GitHub. Grants/Advising: Supervises PhD/MPhil students and offers research internships. Active in recruiting motivated researchers and students through HKU's programs.

Jinsuk Jennifer Choiمشاهده پروفایل

مدرس

• Korean Language Education
• Phonetics
• Multimedia-Assisted Language Learning
• +۳ مورد دیگر

Jinsuk Jennifer Choi serves as a Lecturer in the Korean Programme of the Department of Linguistics and Modern Languages at The Chinese University of Hong Kong (CUHK), where she has been actively contributing to curriculum design, teaching innovation, and programme coordination since joining in 2014. Her academic credentials include a BA and MA from Ewha Womans University, complemented by South Korea's Level 1 Korean Language Teacher Certificate awarded by the Ministry of Culture, Sports and Tourism. Her research focuses on Korean phonetics and pronunciation pedagogy , exploring how multimedia technologies and cultural immersion enhance language acquisition. She develops innovative methodologies for Korean language instruction that integrate technological tools with cultural context to improve student engagement and learning outcomes. Prior to CUHK, she taught Korean at the University of Hong Kong's School of Professional and Continuing Education and held teaching positions at institutions in Korea and Thailand, establishing her expertise in cross-cultural language education across diverse academic settings.