Wanyu is an Assistant Professor in the Department of Computing at The Hong Kong Polytechnic University. Wanyu is serving as an Associate Editor for  IEEE Transactions On Neural Networks and Learning Systems (TNNLS).

Wanyu’s primary research interest is in 1) AI for science. We focus on developing machine learning (ML) techniques (GNNs, diffusion, etc.) to accelerate scientific simulations and design (applications in materials, structure safety); 2) creating AI with safe and ethical objectives. Specifically, we focus on interpretability, robustness, and privacy-preservation of machine learning models, such as large language models.

Research Team

• Jian Chen (Post-Doctoral Fellow, Previously Ph.D. at HUST)
• Zhenzhong Wang (Ph.D. Candidate, Previously Master Student at Xiamen University)
• Mingxuan Ouyang (Ph.D. Candidate, Previously Master Student at HK PolyU)
• Haowei Hua (Ph.D. Candidate, Previously Master Student at University of Electronic Science and Technology of China (UESTC))
• Jiangwen Dong (Ph.D. Candidate, Previously Undergraduate Student at Zhejiang University)
• Zhuoran Li (Ph.D. Candidate, Previously Master Student at HK PolyU and Undergraduate at University of Washington-Seattle)
• Zehui Lin (Research Assistant, Previously Undergraduate Student at University of Sydney)
• Minfeng Wu (Research Assistant, Previously Undergraduate Student at Xiamen University)
• Xu Sun (Research Assistant, Undergraduate Student at HK PolyU)



We are looking for motivated Post-Doctoral Fellows and Ph.D. Students who are interested and experienced in AI for Science and trustworthy AI. Send me your CV (GPA, publications, etc.) and your transcript via email if you are interested in working with me at PolyU. Candidates who have strong mathematics backgrounds and programming skills are preferred.