I recently graduate from Zhejiang Gongshang University with a master degree of science. I’m a PhD candidate under the advisement of Xiang Li at East China Normal University, DaSE.
My research interest includes graph neural networks, deep generative models, molecular learning, and recommender systems.
Check out my published papers at .
🔥 News
- 2024.05: 🎉🎉 Our paper titled ‘Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering’ has been accepted by KDD-24.
- 2024.01: 🎉🎉 The preprint version of our survey titled ‘Diffusion-based Graph Generative Methods’ is online.
- 2024.01: 🎉🎉 Our paper titled ‘Training-free Multi-objective Diffusion Model for 3D Molecule Generation’ has been accepted by ICLR-24!
- 2023.12: 🎉🎉 Our paper titled ‘Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation’ has been accepted by AAAI-24!
📝 Publications
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Preprint
Improving Graph Out-of-distribution Generalization on Real-world Data. Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang, Jingsong Lv, Xiang Li. -
KDD-24
Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering. Hoasen Wang, Can Xu, Chenglong Shi, PengFei Zheng, Shiming Zhang, Minhao Cheng, Hongyang Chen. -
TKDE(Under Review)
Diffusion-based Graph Generative Methods. Hongyang Chen, Can Xu, Lingyu Zheng, Qiang Zhang, Xuemin Lin. (Co-first Author) -
ICLR-24
Training-free Multi-objective Diffusion Model for 3D Molecule Generation. Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li. -
AAAI-24
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation. Can Xu, Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen. -
Information Sciences
A fairness-aware graph contrastive learning recommender framework for social tagging systems. Can Xu, Yin Zhang, Hongyang Chen, Ligang Dong, Weigang Wang. -
Front. Bioeng. Biotechnol.
Pursuit and Evasion Strategy of a Differential Game Based on Deep Reinforcement Learning. Can Xu, Yin Zhang, Weigang Wang, Ligang Dong.
🎖 Honors and Awards
- 2023.10 National Scholarship
📖 Educations
- 2021.09 - 2023.12, Master, Zhejiang Gongshang University, Hangzhou, China
- 2017.09 - 2021.06, Undergraduate, Nanjing University of Information Science and Technology, Nanjing, China
- 2014.09 - 2017.06, Suzhou High School, Suzhou, China
💻 Internships
- 2022.07 - 2023.08, Zhejiang Lab, Research Center for Graph Computing, Hangzhou, China.