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

  • 2024.09:  🎉🎉 Our paper titled ‘Diffusion-based Graph Generative Methods’ has been accepted by IEEE Transactions on Knowledge and Data Engineering.
  • 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

🎖 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.