News

• We are always seeking motivated and dedicated individuals to join our group! Positions including PhD/MPhil, Postdoc and Research Assistant/Associate are subject to funding availability. We offer competitive salaries, a positive enviroment for learning and doing research, and opportunities to gain research experience and advance your career. Interested applicants may send their resume to me. Preference will be given to applicants with exposure/experience in machine learning and data mining, good programming skills, and solid mathematical background.

 

• January 2022: Congratulations to FAN Lu, LI Qimai, LIU Bo, and ZHANG Xiaotong for their paper accepted to WWW 2022! Paper and code will be available soon.
• January 2022: Congratulations to DAI Quanyu for his paper accepted to TKDE! Code will be released soon.
• December 2021: Congratulations to WANG Cong for his paper accepted to AAAI 2022! Paper and code will be released soon.
• September 2021: Congratulations to SHI Guangyuan, CHEN Jiaxin, ZHANG Wenlong, and ZHAN Li-Ming for their paper accepted to NeurIPS 2021 for spotlight presentation (less than 3% acceptance rate)!
• August 2021: Congratulations to ZHANG Haode, ZHANG Yuwei, ZHAN Li-Ming, CHEN Jiaxin, and SHI Guanyuan for their paper accepted to Findings of EMNLP 2021 as a short paper!
• June 2021: Congratulations to LIU Bo and ZHAN Li-Ming for their paper accepted to MICCAI 2021!
• May 2021: Congratulations to LI Qimai, ZHANG Xiaotong, LIU HAN and DAI Quanyu for their paper accepted to KDD 2021 research track!
• May 2021: Congratulations to ZHAN Li-Ming, LIANG Haowen, LIU Bo and FAN Lu for their paperaccepted to ACL 2021 main conference as a long paper (oral)!
• January 2021: Congratulations to LIU Bo, ZHAN Li-Ming and XU Li for their paper accepted to ISBI 2021!

Research

My research interests lie in the broad area of machine learning and artificial intelligence. I was drawn to the discipline of machine learning by the way it blends mathematics and real applications. I am mostly interested in developing unsupervised and semi-supervised learning algorithms and applying them to solve various real problems in computer vision, natural language processing, product search and recommendation, healthcare, and other application domains. On the theory side, I seek to develop deeper understanding into the principles of practical methods and answer questions like under what circumstance one method is better than another and when a particular assumption breaks down. I usually end up gaining new insights by studying such questions, which give me inspirations of developing more effective solutions. The topics I recently worked on include:

• Pre-training and self-supervised learning;
• Zero/Few-Shot learning and meta-learning;
• Graph-based unsupervised and semi-supervised learning;
• Intent recognition for dialogue systems;
• Vision-language approaches and applications in healthcare;
• Product search and recommender systems;
• Real-world image restoration.

Selected Publications

My Group

I am lucky to work with brilliant students who are willing to follow my research interests, and tackle research problems with me.

Current group members：

• Mr LI Qimai (PhD Student, BSc Zhejiang University, Hong Kong PhD Fellowship awardee, expected to graduate in 2022).
• Mr ZHAN Li-Ming (PhD Student, MSc Northeastern University, expected to graduate in 2023).
• Mr ZHANG Haode (PhD Student, MSc Xidian University, expected to graduate in 2023).
• Ms FAN Lu (PhD Student, BSc Zhejiang University of Technology, expected to graduate in 2023).
• Mr ZHANG Wenlong (PhD Student, MSc Beijing Institute of Technology, expected to graduate in 2023).
• Mr SHI Guangyuan (PhD Student, BSc Sun Yat-Sen University, expected to graduate in 2024).
• Mr WANG Cong (PhD Student, MSc Dalian University of Technology, expected to graduate in 2024).
• Ms ZHONG Yongfeng (PhD Student, MSc Bonn University, expected to graduate in 2024).
• Mr LIU Qijiong(PhD Student, MSc Zhejiang University, expected to graduate in 2024).
• Mr LIU Bo (MPhil Student, BSc SiChuan University, expected to graduate in 2022).
• Mr XU Li (MPhil Student, BSc Sun Yat-Sen University, expected to graduate in 2022).
• Mr LIANG Haowen (MPhil Student, BSc PolyU, expected to graduate in 2023).

Collaborators：

• Ms CHEN Jiaxin (PhD PolyU, now Researcher at Parametrix.ai).
• Mr WANG Menghan (PhD Zhejiang University, now Researcher at eBay).

Previous group members：

• Mr KHAN Ameer Hamza (Postdoctoral Fellow, PhD PolyU, now Research Assistant Professor at LSGI@PolyU).
• Ms LIU Yitong (Research Associate, MSc HKUST, now at Beijing Normal University-Hong Kong Baptist University United International College).
• Mr ZHANG Yuwei (Research Assistant, BSc Nankai University, now Master student in UCSD).
• Ms ZHANG Xiaotong(Postdoctoral Fellow, PhD DUT, now Associate Professor in DUT).
• Mr DAI Quanyu (Research Assistant, PhD PolyU, now Researcher at Huawei Noah's Ark Lab).
• Mr LIU Han (Postdoctoral Fellow, PhD DUT, now Associate Professor in DUT).
• Mr REN Lang (Research Assistant, BSc Peking University).
• Mr YAN Guangfeng (Research Assistant, MSc Zhejiang University, now PhD student in CityU).
• Ms FU Xuandi (Research Assistant, BSc PolyU, now Master student in Carnegie Mellon University).
• Mr LI Yanke (Visiting Student, BSc PolyU, now Master student in ETH Zuich).
• Mr WANG Yong (Visiting Student, PhD HKU).
• Mr SHANG Jiayu (Research Assistant, BSc Sun Yat-Sen University, now PhD student in CityU).
• Mr GUAN Zhichao (Research Assistant, BSc Zhejiang University).
• Mr HAN Zhichao (Research Assistant, MSc ETH Zuich).

Teaching Subjects

The courses I have taught and will teach:

• COMP3422 Creative Media Design (Undergraduate Course, Spring 2020, Spring 2021, Spring 2022)
• COMP4433 Data Mining and Data Warehousing (Undergraduate Course, Spring 2017, Fall 2017, Fall 2018)
• COMP5132 Information Systems Acquisition and Integration (Master Course, Fall 2017)
• COMP5422 Multimedia Computing, Systems and Applications (Master Course, Fall 2018, Fall 2019)
• COMP5523 Computer Vision and Image Processing (Master Course, Spring 2020, Fall 2020, Spring 2021, Fall 2021)
• COMP6704 Optimization (PhD & MPhil Course, Spring 2017, Spring 2018, Spring 2019)
• COMP6710 Advanced Machine Learning (PhD & MPhil Course, Spring 2022)