Wanyu is a research assistant professor in the Department of Computing at the Hong Kong Polytechnic University.

Wanyu’s main research interest is in developing machine learning algorithms for graph-structured data. Currently, her research activities focus on model explanations for graph neural networks and trustworthy machine learning. Wanyu’s methods of graph representation learning have been applied to various fields, such as computer vision and social networks.

Wanyu enjoys reading, singing, and jogging in her leisure time. She also loves to visit new places, meet new friends, and explore nature.

Department of Computing

Hong Kong Polytechnic University

PQ713a, Mong Man Wai Building

Hung Hom, Kowloon, Hong Kong


Dec 6, 2021 We are organizaing the ICLR 2022 Workshop on ‘‘ PAIR^2Struct: Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data.’’
May 10, 2021 Serving as a reviewer for NeurIPS 2021 and ICLR 2022!
May 8, 2021 Our paper, GEM, was accepted by ICML 2021. :smiley:
Feb 16, 2021 Wanyu joined the Department of Computing at HK PolyU :sparkles:
Dec 4, 2020 Our paper, Medley, was accepted by INFOCOM 2021. :sparkles:
Dec 2, 2020 One paper accepted by TPDS 2021. :smile:
Feb 26, 2020 Our paper, Shoestring, was accepted by CVPR 2020. :sparkles: