Department of Computing

Hong Kong Polytechnic University

PQ713a, Mong Man Wai Building

Hung Hom, Kowloon, Hong Kong

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.

We are looking for motivated Post-doctoral Fellows, Research Assistants, and PhD Students who are interested and experienced in machine learning and security. Send me an email if you are interested in working with me at PolyU.


Jun 22, 2022 Our paper, OrphicX, received the best paper finalist at CVPR 2022.
May 17, 2022 Serving as an Associate Editor for  IEEE Transactions On Neural Networks and Learning Systems (TNNLS).
May 12, 2022 Invited talk on GNN Interpretability at  Usslab,  Zhejiang University.
Mar 29, 2022 Our paper on GNN Interpretability, OrphicX, was selected as an oral presentation in CVPR 2022. :sparkles:
Mar 25, 2022 Invited talk on GNN Interpretability at  University of Glasgow and  International Centre for Mathematical Sciences.
Mar 2, 2022 Our paper on GNN Interpretability, OrphicX, was accepted by CVPR 2022. :smiley:
Feb 10, 2022 Our paper, Status-Aware Signed Heterogeneous Network Embedding with Graph Neural Networks, was accepted by TNNLS 2022. :sparkles:
Dec 17, 2021 Serving as a reviewer for ICML 2022!