Short Bio
Hi, I’m Rui. I obtained my B.S. degree from East China Normal University in 2019 and a Ph.D. in Mathematics from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, in 2024. After completing my doctorate, I joined Renmin University of China as a postdoctoral researcher. My main research interests include physics-driven deep learning and interpretable neural networks. My work has been published in journals and conferences, including IEEE TPAMI, National Science Review, Physics of Fluids, and AAAI. If you are interested in my research or would like to explore potential collaboration, please feel free to contact me via rayzhang@ruc.edu.cn (Email) or optray (WeChat).
Experience
- 2024.9-Now: Post-Doc Researcher, Renmin University of China, Gaoling School of Artificial Intelligence
- Supervisor: Hao Sun
- 2019.9-2024.6: PhD Student, Academy of Mathematics and Systems Science, Chinese Academy of Sciences
- Major: Probability and Mathematical Statistics
- Supervisor: Zhi-Ming Ma
- 2022.5-2023.7: Research Intern, AI4Science Asia, Microsoft Research
- Group: Large-scale PDEs
- Mentor: Qi Meng
- 2015.9-2019.6: BS, School of Mathematical Science, East China Normal University
- Major: Mathematics and Applied Mathematics
Selected Awards
- 2023: AMSS Special Prize of President Scholarship
- 2022: Hua Loo-Keng Scholarship
- 2019: Outstanding Undergraduate in Shanghai
- 2018: Second Prize, National Undergraduate Mathematics Contest Final
- 2016: Excellent Scholarship in ECNU
Publication
- Google Scholar
- Publication
- Recent Paper
- (Submitted) Zhang, R., Meng, Q., Zhu, R., Wang, Y., Shi, W., Zhang, S., Ma, Z.M., & Liu, T.Y. Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation. arXiv preprint arXiv:2302.05104. Link Code
- Zhang, R.*, Du, X.*, Yan, J., & Zhang, S. (2024). The decoupling concept bottleneck model. IEEE Transactions on Pattern Analysis and Machine Intelligence. Link Code
- Zhang, R., Meng, Q., & Ma, Z.M. (2023). Deciphering and integrating invariants for neural operator learning with various physical mechanisms. National Science Review. Link Code
Reviewers
- IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)
- IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
- IEEE Transactions on Services Computing (IEEE TSC)
- Transactions on Machine Learning Research (TMLR)
- International Conference on Learning Representations (ICLR)
- AAAI Conference on Artificial Intelligence (AAAI)