About me
I am an Assistant Researcher at IDEA, working with Yu LI and Zijing Liu. Prior to that, I received my master’s degree from Tsinghua University in 2023, co-advised by Xi Xiao and Shu-Tao Xia. My research interests focus on, but not limited to graph/hypergraph neural networks and machine learning. These days I am interested in diffusion models, AI4Science, and drug discovery. Feel free to contact me if you are interested in my research.
Publications
Check the full list here.
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport
Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian
IJCAI 2022 (International Joint Conferences on Artificial Intelligence Organization 2022). [paper] [code]Hypergraph Convolutional Networks via Equivalency Between Hypergraphs and Undirected Graphs
Jiying Zhang, Fuyang Li, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Yatao Bian
ICML 2022 Workshop (Topology, Algebra, and Geometry in Machine Learning). [paper] [code]Learnable Hypergraph Laplacian for Hypergraph Learning
Jiying Zhang, Yuzhao Chen, Xi Xiao, Runiu Lu, Shu-Tao Xia
ICASSP 2022 (2022 IEEE International Conference on Acoustics, Speech and Signal Processing) [paper] [code]GraphTTA: Test Time Adaptation on Graph Neural Networks
Guanzi Chen*, Jiying Zhang*, Xi Xiao, Yang Li (* equal contribution)
ICML 2022 Workshop on Principles of Distribution Shift. [paper]A Simple Hypergraph Kernel Convolution Based on Discounted Markov Diffusion Process
Fuyang Li*, Jiying Zhang*, Xi Xiao, Bin Zhang, Dijun Luo (* equal contribution)
NeurIPS 2022 Workshop (New Frontiers in Graph Learning). [paper]Diversified Multiscale Graph Learning with Graph Self-Correction
Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong
ICLR 2022 Workshop on Geometrical and Topological Representation Learning.[paper]- A Unified Random Walk, Its Induced Laplacians and Spectral Convolutions for Deep Hypergraph Learning
Jiying Zhang, Fuyang Li, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Yatao Bian
TPAMI Under Review - Subgraph Diffusion for 3D Molecular Representation Learning: Combining Continuous and Discrete
Jiying Zhang, Zijing Liu, Yu Wang, Zhengyang Qi, Yu Li
Under Review
Research Experience
Tencent AI Lab (2021.02 - 2022.08) (The Tencent Rhino-bird Elite Talent Program)
- Research Intern, Machine Learning Group, Tencent AI Lab, Shenzhen, China
- Work with: Yatao Bian, Yu Rong
Tencent AI Lab (2019.11- 2020.06)
- Research Intern, Machine Learning Group, Tencent AI Lab, Shenzhen, China
- Work with: Tingyang Xu
Services
- Conference Reviewing: NeurIPS-2022, NeurIPS-2023, NeurIPS 2023 Workshop Diffusion, ICML-2022, ICML-2023, ICML-2024, ICLR-2024, CVPR-2024, ACMMM-2024
- Journal Reviewing: TPAMI.