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.
news
| 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.
|
| 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.
|
| Feb 10, 2022 |
Our paper, Status-Aware Signed Heterogeneous Network Embedding with Graph Neural Networks, was accepted by TNNLS 2022.
|
| Dec 17, 2021 | Serving as a reviewer for ICML 2022! |