上一篇 TieYan Liu
Bin Dong
Executive Vice President of Zhonguancun Academy
Dong Bin is a Boya Distinguished Professor at Peking University, affiliated with the Beijing International Center for Mathematical Research (BICMR). He concurrently serves as Executive Vice President of Zhonguancun Academy, Deputy Director of the Center for Machine Learning Research at Peking University, Vice President of Peking University Changsha Institute for Computing and Digital Economy, and Researcher at the National Biomedical Imaging Center.
Prof. Dong received his B.S. in Mathematics from Peking University (2003), M.Sc. from the National University of Singapore (2005), and Ph.D. from the University of California, Los Angeles (2009). Prior to joining Peking University in 2014, he held faculty positions at the University of Arizona (2011-2014) and UC San Diego (2009-2011).
His research focuses on the interplay between machine learning, scientific computing, and computational imaging, with applications spanning mathematical theory, algorithms, and interdisciplinary collaboration
Prof. Dong received his B.S. in Mathematics from Peking University (2003), M.Sc. from the National University of Singapore (2005), and Ph.D. from the University of California, Los Angeles (2009). Prior to joining Peking University in 2014, he held faculty positions at the University of Arizona (2011-2014) and UC San Diego (2009-2011).
His research focuses on the interplay between machine learning, scientific computing, and computational imaging, with applications spanning mathematical theory, algorithms, and interdisciplinary collaboration
Academic Monograph
[1] PuYang, Bin Dong, MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning, arXiv:2501.01834, 2025.
[2] Ziju Shen, Haimiao Zhang, Bin Dong, Jun Qiu, Yunxiang Li, Zhili Cui, Incomplete Data Multi-Source Static Computed Tomography Reconstruction with Diffusion Priors and Implicit Neural Representation, arXiv:2501.01013, 2025.
[3] Yifan Luo, Zhennan Zhou, Meitan Wang, Bin Dong, Jailbreak Instruction-Tuned LLMs via end-of-sentence MLP Re-weighting, arXiv:2410.10150, 2024.
[4] Zuoyuan Li, Bin Dong, Pingwen Zhang, State-observation augmented diusion model for non linear assimilation, arXiv:2407.21314, 2024.
[5] Bin Dong, Ting Lin, Zuowei Shen, Peichu Xie, Analysis of a wavelet frame based two-scale model for enhanced edges, arXiv:2401.02688.
[6] Xinyu Xiao, Zhennan Zhou, Bin Dong, Dingjiong Ma, Li Zhou, Jie Sun, Meta-DSP: A Meta Learning Approach for Data-Driven Nonlinear Compensation in High-Speed Optical Fiber Systems, arXiv:2311.10416.
[7] Zifan Chen, Jiazheng Li, Jie Zhao, Yiting Liu, Hongfeng Li, Bin Dong, Lei Tang and Li Zhang, PropNet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans, arXiv:2305.17871.
[8] Peng Bao, Gong Wang, Ruijie Yang, Bin Dong, Deep Reinforcement Learning for Beam Angle Optimization of Intensity-Modulated Radiation Therapy, arXiv:2303.03812.
Academic Paper
[1] Fangxu Zhou, Zehua Li, Haifeng Li, Yao Lu, Linjia Cheng, Ying Zhang, Zichen Wang, Jing Nie, Heping Cheng, Bin Dong, Lei Ma, Li Yang, An Initiative on Digital Nephrology: The Kidney Imageomics Project, doi.org/10.1093/nsr/nwaf034, 2025.
[2] Bin Dong, Li Zhang, Jiajia Yuan, Yang Chen, Quanzheng Li, Lin Shen, Large language models: game-changers in the healthcare industry, Science Bulletin, S2095-9273, 2024.
[3] Zifan Chen, Yang Chen, Yu Sun, Lei Tang, Li Zhang, Yajie Hu, Meng He, Zhiwei Li, Siyuan Cheng, Jiajia Yuan, Zhenghang Wang, Yakun Wang, Jie Zhao, Jifang Gong, Liying Zhao, Baoshan Cao, Guoxin Li, Xiaotian Zhang, Bin Dong, and Lin Shen, Predicting gastric cancer response to anti-HER2 therapy or anti-HER2 combined immunotherapy based on multi-modal data, Signal Transduction and Targeted Therapy, 9:222, 2024.
[4] Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong, Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks, Numerical Methods for Partial Differential Equations, 40(6), e23147, 2024 (arXiv:2112.05387).
[5] Haocheng Ju, Haimiao Zhang, Lin Li, Xiao Li, Bin Dong, A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection, Signal Processing, 109554, 2024 (arXiv:2303.03678).
[6] Pu Yang and Bin Dong, L2SR: Learning to Sample and Reconstruct for Accelerated MRI, Inverse Problems, 40 055015, 2024 (arXiv:2212.02190).
[7] Mingze Yuan, Peng Bao, Jiajia Yuan, Yunhao Shen, Zifan Chen, Yi Xie, Jie Zhao, Quanzheng Li, Yang Chen, Li Zhang, Lin Shen, Bin Dong, Large language models illuminate a progressivepathway to artificial intelligent healthcare assistant, Medicine Plus, 1000302024.
[8] Chenxi Xie, Yueyuxiao Yang, Hao Yu, Qiushun He, Mingze Yuan, Bin Dong, Li Zhang, Meng Yang, RNA Velocity Prediction via Neural Ordinary Differential Equation, iScience, 27(4), 2024.
[9] Meng He, Zi-fan Chen, Song Liu, Yang Chen, Huan Zhang, Li Zhang, Jie Zhao, Jie Yang, Xiao-tian Zhang, Lin Shen, Jian-bo Gao, Bin Dong, Lei Tang, Deep learning model based on multi-lesion and time series CT images for predicting the benefits from anti-HER2 targeted therapy in stage IV gastric cancer, Insights into Imaging, 15(59), 2024.
[10] Bin Dong, Xuhua He, Pengfei Jin, Felix Schremmer, Qingchao Yu, Machine learning assisted exploration for a ne Deligne-Lusztig varieties, Peking Mathematical Journal, pp. 150, 2024 (arXiv:2308.11355).
[11] Zhuoyuan Li, Bin Dong, Pingwen Zhang, Latent assimilation with implicit neural representations for unknown dynamics, Journal of Computational Physics, 506, 112953, 2024 (arXiv:2309.09574).
[12] Yifan Luo, Yiming Tang, Chengfeng Shen, Zhennan Zhou, Bin Dong, Prompt engineering through the lens of optimal control, Journal of Machine Learning, 2, 241-258, 2023 (arXiv:2310.14201).
[13] Zhengyi Li, Yanli Wang, Hongsheng Liu, Zidong Wang, Bin Dong, Solving Boltzmann equation with neural sparse representation, SIAM Journal on Scienti c Computing, 46(2), C186-C215,2023 (arXiv:2302.09233).
[14] Jiajia Yuan, Peng Bao, Zifan Chen, Mingze Yuan, Jie Zhao, Jiahua Pan, Yi Xie, Yanshuo Cao, Yakun Wang, Zhenghang Wang, Zhihao Lu, Xiaotian Zhang, Jian Li, Lei Ma, Yang Chen, Li Zhang, Lin Shen and Bin Dong, Advanced Prompting as a Catalyst: Empowering Large Language Models in the Management of Gastrointestinal Cancers, The Innovation Medicine, 1(2), 100019, 2023.
[15] Zhanhong Ye, Xiang Huang, Hongsheng Liu, Bin Dong, Meta-Auto-Decoder: A Meta-Learning Based Reduced Order Model for Solving Parametric Partial Differential Equations, Communications on Applied Mathematics and Computation, 6(2), 1096-1130, 2023 (arXiv:2302.08263).
[16] Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi, A scalable deep learning approach for solving high-dimensional dynamic optimal transport, SIAM Journal on Scienti c Computing, 45(4), B644B563, 2023 (arXiv:2205.07521).
[17] Zhiwen Deng, Jing Wang, Hongsheng Liu, Hairun Xie, BoKai Li, Miao Zhang, Tingmeng Jia, Yi Zhang, Zidong Wang, Bin Dong, Prediction of transonic ow over supercritical airfoilsusing geometric-encoding and deep-learning strategies, Physics of Fluids, 35(7), 2023 (arXiv:2303.03695).
[18] Meng He, Zi-Fan Chen, Li Zhang, Xiangyu Gao, Xiaoyi Chong, Hao-shen Li, Lin Shen, Jiafu Ji, Xiaotian Zhang, Bin Dong, Zi-Yu Li and Tang Lei, Associations of subcutaneous fat area and Systemic Immune-inflammation Index with survival in patients with advanced gastric cancer receiving dual PD-1 and HER2 blockade, Journal of ImmunoTherapy of Cancer, 11:e007054,2023.
[19] Chaoyan Huang, Tingting Wu, Juncheng Li, Bin Dong, Tieyong Zeng, Single-Particle Reconstruction in Cryo-EM based on Three-dimensional Weighted Nuclear Norm Minimization,Pattern Recognition, doi.org/10.1016/j.patcog.2023.109736, 2023.
[20] Jiazheng Li, Zifan Chen, Yang Chen, Jie Zhao, Meng He, Xiaoting Li, Li Zhang, Bin Dong, Xiaotian Zhang, Lei Tang, Lin Shen, CT-based delta radiomics in predicting the prognosis of stage IV gastric cancer to immune checkpoint inhibitors, Frontiers in Oncology, DOI: 10.3389/fonc.2022.1059874, 2023.
[21] Zhengyi Li, Bin Dong and Yanli Wang, Learning Invariance Preserving Moment Closure Model for Boltzmann-BGK Equation, Communications in Mathematics and Statistics, 11(1), 59101,2023 (arXiv:2110.03682).
[22] Yang Chen, Keren Jia, Yu Sun, Cheng Zhang, Yilin Li, Li Zhang, Zifan Chen, Jiangdong Zhang, Yajie Hu, Jiajia Yuan, Xingwang Zhao, Yanyan Li, Jifang Gong, Bin Dong, Xiaotian Zhang, Jian Li and Lin Shen, Predicting response to immunotherapy in gastric cancervia multi-dimensional analyses of the tumour immune microenvironment, Nature Communications, 13:4851, 2022.
[23] Qilin Zhang, Peng Bao, Ang Qu, Weijuan Jiang, Ping Jiang, Hongqing Zhuang, Bin Dong, Ruijie Yang, The feasibility study on the generalization of deep learning dose prediction model for volumetric modulated arc therapy of cervical cancer, Journal of Applied Clinical Medical Physics, 23(6), e13583, 2022.
[24] Chenglong Bao, Jian-Feng Cai, Jae Kyu Choi, Bin Dong, and Ke Wei, Improved Harmonic Incompatibility Removal for Susceptibility Mapping via Reduction of Basis Mismatch, Journal of Computational Mathematics, 40(6), 914-937, 2022.
[25] Stefan C. Schonsheck, Bin Dong and Rongjie Lai, Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds, SIAM Journal on Imaging Science, 15(1), pp. 367-386, 2022 (arXiv:1805.07857).
[26] Yuyan Chen, Bin Dong, Jinchao Xu, Meta-MgNet: Meta Multigrid Networks for Solving Parameterized Partial Differential Equations, Journal of Computational Physics, 455, 110996, 2022 (arXiv:2010.14088).
[27] Jin Zhao, Weifeng Zhao, Zhiting Ma, Wen-An Yong, Bin Dong, Finding Models of Heat Conduction via Machine Learning, International Journal of Heat and Mass Transfer, 185, 122396, 2022.
[28] 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).