Contact Information:

Email: dongbin@math.pku.edu.cn

Tel: 010-62744091

Homepage: http://faculty.bicmr.pku.edu.cn/~dongbin/

Work experience:

July 2009 - July 2011: Visiting Assistant Professor, University of California, San Diego
August 2011 - December 2014: Assistant Professor, University of Arizona
December 2014 - July 2018: Tenure-track Associate Professor, Peking University
August 2018 - January 2023: Tenured Associate Professor, Peking University
February 2023 - December 2023: Tenured Professor, Peking University
January 2024 - Present: Boya Distinguished Professor, Peking University

Education:

September 1999 - July 2003: Bachelor’s Degree in Mathematics, Peking University
August 2003 - July 2005: Master’s Degree in Mathematics, National University of Singapore
August 2005 - June 2009: Ph.D. in Mathematics, University of California, Los Angeles

Research Areas:

Machine Learning, Scientific Computing, Computational Imaging

Interested Research Areas in CAPT：

Foundation model for solving PDEs and related problems.

Grants and Awards：

2014: Qiu Shi Outstanding Young Scholar Award
2022: 45-Minute Invited Speaker, International Congress of Mathematicians (ICM)
2023: New Cornerstone Investigator Program
2023: Wang Xuan Outstanding Young Scholar Award

Selected Publications：

1. Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong, Meta-Auto-Decoder for Solving Parametric Partial Differential Equations, NeurIPS 2022, spotlight (arXiv:2111.08823).
2. Ziju Shen, Yufei Wang, Dufan Wu, Xu Yang and Bin Dong, Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging, Inverse Problems and Imaging, 16(1), 179, 2022 (arXiv:2006.02420).
3. Zichao Long, Yiping Lu and Bin Dong, PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network, Journal of Computational Physics, 399, 108925, 2019.
4. Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong, You Only Propagate Once: Accelerating Adversarial Training Using Maximal Principle, NeurIPS 2019
5. Yiping Lu, Aoxiao Zhong, Quanzheng Li and Bin Dong, Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations, Thirty-fifth International Conference on Machine Learning (ICML), 2018.
6. Zichao Long, Yiping Lu, Xianzhong Ma and Bin Dong, PDE-Net: Learning PDEs from Data, Thirty-fifth International Conference on Machine Learning (ICML), 2018.
7. Bin Dong, Qingtang Jiang and Zuowei Shen, Image restoration: wavelet frame shrinkage, nonlinear evolution PDEs, and beyond, Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, 15(1), 606–660, 2017.
8. Bin Dong, Sparse Representation on Graphs by Tight Wavelet Frames and Applications, Applied and Computational Harmonic Analysis, 42(3), 452C-479, 2017.
9. Jian-Feng Cai, Bin Dong and Zuowei Shen, Image restoration: A wavelet frame based model for piecewise smooth functions and beyond, Applied and Computational Harmonic Analysis, 41(1), 94–138, 2016.10.
10. Jian-Feng Cai, Bin Dong, Stanley Osher and Zuowei Shen, Image restoration: total variation; wavelet frames; and beyond, Journal of the American Mathematical Society, 25(4), 1033–1089, 2012.