Bin Dong(董彬) Long CV, Short CV
Associate
Professor
Beijing International Center for Mathematical
Research (BICMR), Peking University
Office: BICMR，77101; Phone:
+8610-62744091
Email: dongbin {at} math {dot} pku {dot} edu {dot} cn
北京国际数学研究中心
北京市海淀区颐和园路5号
北京大学镜春园78号院77101室，100871
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Home -- Biography -- Research -- Publications
-- Teaching
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Machine
Learning
1.
Qi Sun, Hexin
Dong, Zewei Chen, Weizhen
Dian, Jiacheng Sun, Yitong
Sun, Zhenguo Li, Bin Dong, A Practical Layer-Parallel Training
Algorithm for Residual Networks, arXiv:2009.01462, 2020.
2.
Yuyan Chen, Bin Dong, Jinchao Xu, Meta-MgNet: Meta Multigrid Networks for
Solving Parameterized Partial Differential Equations, arXiv:2010.14088,
2020.
3.
Yunzhen Feng, Runtian Zhai,
Di He, Liwei Wang, Bin Dong, Transferred Discrepancy: Quantifying
the Difference Between Representations, arXiv:2007.12446, 2020.
4.
Junyu Liu, Zichao Long, Ranran
Wang, Jie Sun and Bin Dong, RODE-Net: Learning Ordinary
Differential Equations with Randomness from Data, arXiv:2006.02377, 2020.
5.
Pengfei Jin, Tianhao Lai, Rongjie Lai and Bin Dong, NPTC-net: Narrow-Band Parallel
Transport Convolutional Neural Network on Point Clouds, arXiv:
1905.12218, 2019.
6. Stefan C. Schonsheck, Bin Dong and Rongjie
Lai, Parallel
Transport Convolution: A New Tool for Convolutional Neural Networks on
Manifolds, arXiv:1805.07857,
2018
7.
Chizhou Liu, Yunzhen Feng, Ranran
Wang and Bin Dong, Enhancing
Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling,
ICML 2021 Workshop on
Adversarial Machine Learning, (arXiv:2005.09363).
8.
Fei Yu, Mo Zhang, Hexin Dong, Sheng Hu, Bin Dong, Li Zhang, DAST:
Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator
Attention and Self-Training, AAAI 2021.
9.
Haiwen Huang, Zhihan Li, Lulu Wang, Sishuo Chen, Bin Dong, Xinyu
Zhou, Feature Space Singularity for
Out-of-Distribution Detection, AAAI Workshop
on SafeAI, 2021 (arXiv:2011.14654).
10. Bin Dong, Haochen Ju, Yiping Lu and Zuoqiang
Shi, CURE: Curvature
Regularization For Missing Data Recovery, SIAM Journal on Imaging Science, 13(4),
2169-2188, 2020 (arXiv:1901.09548).
11. Yufei
Wang, Ziju Shen, Zichao
Long and Bin Dong, Learning to
Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning,
Communications in Computational Physics, 28, 2158-2179, 2020 (arXiv: 1905.11079).
12. Junyu Liu, Xiao Wang, Yan
Zhao, Bin Dong, Kuan Lu and Ranran
Wang, Heating
Load Forecasting for Combined Heat and Power Plants via Strand-Based LSTM,
IEEE Access, 8, 33360-33369, 2020.
13.
Bin Dong, Jikai
Hou, Yiping Lu and Zhihua Zhang, Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing
Anisotropic Information Retrieval for Overparameterized Neural Network,
NeurIPS 2019 Workshop on Machine
Learning with Guarantees, (arXiv:1910.01255).
14.
Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun,
Bin Dong, Tao Qin, Liwei wang, Tie-Yan Liu, Understanding and Improving
Transformer from a Multi-Particle Dynamic System Point of View, NeurIPS 2019, Workshop on Machine Learning
and the Physical Sciences (arXiv: 1906.02762).
15.
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing
Zhu, Bin Dong, You Only Propagate Once:
Accelerating Adversarial Training Using Maximal Principle, NeurIPS 2019 (arXiv:1905.00877).
16. 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 (arXiv:1812.04426).
17. Haiwen Huang, Chang Wang
and Bin Dong, Nostalgic Adam:
Weighing more of the past gradients when designing the adaptive learning rate,
IJCAI 2019 (arXiv:1805.07557).
18. Xiaoshuai Zhang, Yiping Lu, Jiaying Liu and Bin Dong, Dynamically
Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image
Restoration, ICLR 2019 (arXiv:1805.07709).
19. 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 (arXiv:1710.10121).
20. Zichao Long, Yiping Lu, Xianzhong Ma and Bin Dong, PDE-Net:
Learning PDEs from Data, Thirty-fifth International Conference on Machine
Learning (ICML), 2018 (arXiv:1710.09668).
Codes,
Supplementary
Materials
21. Yue Selena Niu, Ning Hao and Bin Dong, A new reduced-rank linear discriminant
analysis method and its applications, Statistica
Sinica,28,189-202, 2018.
22. Bin Dong, Sparse Representation on Graphs by
Tight Wavelet Frames and Applications, Applied and Computational Harmonic
Analysis, 42(3), 452-479, 2017.
MATLAB Codes: Fast tight wavelet frame transform on graphs (WFTG);
Graph Clustering
by WFTG.
23. Bin Dong and Ning
Hao, Semi-supervised high dimensional
clustering by tight wavelet frames, Proceedings of SPIE, Wavelets &
Sparsity XVI, Aug. 2015.
MATLAB Codes (for second row of Table 1)
24. Ning Hao, Bin Dong
and Jianqing Fan, Sparsifying
the Fisher Linear Discriminant by Rotation, Journal of the Royal
Statistical Society Series B, 77(4),
827-851, 2015.
MATLAB Codes (Rotation)
Medical
Imaging and Image Analysis
1. Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra and Steve Jiang, Deep Interactive Denoiser
(DID) for X-Ray Computed Tomography, IEEE Transactions on Medical Imaging,
10.1109/TMI.2021.3101241, 2021 (arXiv:2011.14873).
2. Ce Wang, Haimiao Zhang, Qian Li, Kun
Shang, Yuanyuan Lyu, Bin Dong, S. Kevin. Zhou, Generalizable Limited-Angle CT
Reconstruction via Sinogram Extrapolation, MICCAI 2021 (arXiv:2103.05255).
3. Peiting You, Xiang Li, Zhijiang Wang, Huali Wang, Bin
Dong and Quanzheng Li, Characterization
of Brain Iron Deposition Pattern and Its Association With Genetic Risk Factor
in Alzheimer’s Disease Using
Susceptibility-Weighted Imaging, Front. Hum. Neurosci., https://doi.org/10.3389/fnhum.2021.654381.
4. 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, doi:10.3934/ipi.2021045, 2021 (arXiv:2006.02420).
5. Haimiao Zhang, Baodong Liu, Hengyong Yu and Bin
Dong, MetaInv-Net: Meta Inversion Network for
Sparse View CT Image Reconstruction, IEEE Transactions on Medical Imaging, 40(2),
621–634, 2021 (arXiv:2006.00171).
6. Mo Zhang, Bin Dong
and Quanzheng Li, Deep
Active Contour Network for Medical Image Segmentation, MICCAI 2020.
7. Fei Yu, Hexin Dong, Mo Zhang, Jie Zhao, Bin Dong, Quanzheng Li,
Li Zhang, AF-SEG:
an Annotation-Free Approach for Image Segmentation by Self-Supervision and
Generative Adversarial Network, IEEE International Symposium on Biomedical
Imaging (ISBI20), 2020.
8. Hexin
Dong, Fei Yu, Jiang Han, Zhang Hua, Bin Dong, Quanzheng
Li, Li Zhang, Annotation-Free
Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images,
IEEE International Symposium on Biomedical Imaging (ISBI20), 2020.
9. Yini Pan, Hongfeng Li, Lili Liu, Quanzheng
Li, Xinlin Hou and Bin Dong, aEEG Signal
Analysis with Ensemble Learning for Newborn Seizure Detection, MICCAI
Workshop on MMMI, 2019.
10. Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin
Dong, Quanzheng Li and Li Zhang, Annotation-Free
Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images,
MICCAI 2019.
11. Haimiao Zhang, Bin Dong and
Baodong Liu, JSR-Net: A
Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete
data, the International Conference on Acoustics, Speech, and Signal
Processing (IEEE-ICASSP 2019), 2019
(arXiv:1812.00510)
12. Geng Chen, Bin Dong,
Yong Zhang, Weili Lin, Dinggang
Shen and Pew-Thian Yap, XQ-SR:
Joint x-q Space Super-Resolution with Application to Infant Diffusion MRI,
Medical Image Analysis, doi:
https://doi.org/10.1016/j.media.2019.06.010, 2019.
13. Geng Chen, Bin Dong,
Yong Zhang, Weili Lin, Dinggang
Shen and Pew-Thian Yap, Denoising of Diffusion MRI
Data via Graph Framelet Matching in x-q Space, IEEE Transactions on Medical
Imaging, DOI: 10.1109/TMI.2019.2915629, 2019.
14. Chenglong Bao, Jae Kyu Choi and Bin Dong, Whole Brain
Susceptibility Mapping Using Harmonic Incompatibility Removal, SIAM Journal
on Imaging Science, 12(1), 492-520, 2019 (arXiv1805.12521).
15. Geng Chen, Jian Zhang,
Yong Zhang, Bin Dong, Dinggang Shen and Pew-Thian Yap, Multi-channel
framelet denoising of diffusion weighted images, PLoS
ONE, 14(2): e0211621, 2019.
16. Geng Chen, Bin Dong,
Yong Zhang, Weili Lin, Dinggang
Shen and Pew-Thian Yap, Angular
upsampling in infant diffusion MRI using neighborhood matching in x-q space,
Front. Neuroinform. 12:57. doi:
10.3389/fninf.2018.00057.
17. Dufan Wu, Kyungsang Kim, Bin Dong, Georges El Fakhri and Quanzheng Li, End-to-End
Lung Nodule Detection in Computed Tomography, MICCAI Workshop, 2018
(arXiv:1711.02074).
18. Zenghui Wei, Baodong Liu, Bin Dong and Long Wei, A joint
reconstruction and segmentation method for limited-angle X-ray tomography,
IEEE Access, 6(1), 7780-7791, 2018.
19. Haimiao Zhang, Bin Dong and
Baodong Liu, A
Re-weighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal
Artifact Reduction, SIAM Journal on Imaging Science, 11(1), 707-733, 2018.
20. Geng Chen, Bin Dong, Yong
Zhang, Dinggang Shen, Pew-Thian Yap, q-Space
Upsampling Using x-q Space Regularization, MICCAI 2017, 620-628.
21. Geng Chen, Bin Dong,
Yong Zhang, Dinggang Shen, Pew-Thian Yap, Neighborhood
Matching for Curved Domains with Application to Denoising in Diffusion MRI,
MICCAI 2017, 629-637.
22. Pew-Thian Yap, Bin Dong, Yong Zhang and Dinggang
Shen, Tight
Graph Framelets for Sparse Diffusion MRI q-Space Representation,
MICCAI 2016, 561-569.
23. Yu Yang, Bin Dong
and Zaiwen Wen, Randomized
Algorithms For High Quality Treatment Planning in Volumetric Modulated Arc
Therapy, Inverse Problems, 32(2),025007,2017.
24. Jae Kyu Choi, Bin Dong and Xiaoqun
Zhang, Limited
Tomography Reconstruction via Tight Frame and Simultaneous Sinogram
Extrapolation, Journal of Computational Mathematics, 34(6), 575-589，2016.
25. Ruohan Zhan and Bin Dong, CT Image
Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization,
SIAM Journal on Imaging Sciences, 9(3), 1063-1083,2016.
Matlab Codes: SRD-DDTF (This package includes codes
for our earlier work: Dong, Li and Shen, X-ray
CT image reconstruction via wavelet frame based regularization and Radon domain
inpainting, JSC, 2013)
26. Jiulong Liu, Xiaoqun Zhang, Bin Dong, Zuowei Shen and Lixu Gu, A wavelet frame method with shape prior for ultrasound video segmentation, SIAM Journal on Imaging Sciences, 9(2), 495-536. 2016. (This article is spotlighted by SIAM in "SIAM Nuggets", and was also reported in various websites: SIAM.NEWS; Science_News; ScienceDaily; Scifeeds; Science_Codex; EurekAlert; MedImaging; Hitechdays; TechXplore; Technobahn; Pubniche; Healthmanagement.org; Healthcarebusiness; AuntMinnie; Myinforms; OOYUZ; Wrightwood)
27. Li-Tien Cheng, Bin Dong, Chunhua Men, Xun Jia and Steve B. Jiang, Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Cancer Radiotherapy, SIAM Journal on Scientific Computing, 35(6), 1321-1340, 2013.
28. Xuejun Gu, Bin Dong, Jing Wang, John Yordy, Loren Mell, Xun Jia, and Steve B. Jiang, A Contour-Guided Deformable Image Registration Algorithm for Adaptive Radiotherapy, Physics in Medicine and Biology, 58(6). 1889, 2013.
29. Bin Dong, Jia Li and Zuowei Shen, X-ray CT image reconstruction via wavelet frame based regularization and Radon domain inpainting, Journal of Scientific Computing, 54(2-3), 333-349 2013.
30. Bin Dong, Yan Jiang Graves, Xun Jia and Steve B. Jiang, Optimal Surface Marker Locations for Tumor Motion Estimation in Lung Cancer Radiotherapy, Physics in Medicine and Biology, 57(24), 8201, 2012
31. Bin Dong and Zuowei Shen, MRA-based wavelet frames and applications: image segmentation and surface reconstruction, Processing of SPIE, Defense, Security and Sensing, Vol 8401, 2012.
32. Xun Jia, Bin Dong, Yifei Lou and Steve B. Jiang, GPU-based iterative cone beam CT reconstruction using tight frame regularization, Physics in Medicine and Biology, 56, 3787-3807 2011.
33. Aichi Chien, James Sayre, Bin Dong, Jian Ye and Fernando Vinuela, 3D Quantitative Evaluation of Atherosclerotic Plaque based on Rotational Angiography, American Journal of Neuroradiology, 32, 1249-1254, 2011.
34. Zhen Tian, Xun Jia, Bin Dong, Yifei Lou and Steve B. Jiang, Low-dose 4DCT reconstruction via temporal nonlocal means, Medical Physics, 38(3), March 2011.
35. Bin Dong, Aichi Chien and Zuowei Shen, Frame based segmentation for medical images, Communications in Mathematical Sciences, 9(2), 551-559, 2011.
36. Daren Lee, Ivo Dinov, Bin Dong, Boris Gutman, Igor Yanovsky and Arthur W. Toga, CUDA Optimization strategies for compute- and memory-bound neuroimaging algorithms, Computer Methods and Programs in Biomedicine, Elsevier, 2010.
37. Bin Dong, Aichi Chien, Zuowei Shen and Stanley Osher, A new multiscale representation for shapes and its application to blood vessel recovery, SIAM Journal on Scientific Computing, 32(4), 1724-1739, 2010.
38. Xun Jia, Yifei Lou, Bin Dong, Zhen Tian and Steve Jiang, 4D computed tomography reconstruction from few-projection data via temporal non-local regularization, MICCAI 2010, Beijing, China, Sep 20-24, 2010.
39. Bin Dong, Aichi Chien, Yu Mao, Jian Ye, Fernando Vinuela and Stanley Osher, Level set based brain aneurysm capturing in 3D, Inverse Problems and Imaging (special issue in medical image analysis), 4(2), 241-255, 2010.
40. Bin Dong, Eric Savitsky and Stanley Osher, A novel method for enhanced needle localization using ultrasound-guidance, Advances in Visual Computing: Part I, 914-923, 2009 (5th International Symposium on Visual Computing, ISVC 2009, Las Vegas, Nevada, USA).
41. Bin Dong, Yu Mao, Ivo D. Dinov, Zhuowen Tu, Yonggang Shi, Yalin Wang and Arthur W. Toga, Wavelet-based representation of biological shapes, Advances in Visual Computing: Part I, 955-964, ISVC 2009 (5th International Symposium on Visual Computing, ISVC 2009, Las Vegas, Nevada, USA).
42. Bin Dong, Aichi Chien, Yu Mao, Jian Ye and Stanley Osher,
Level set based surface capturing in 3D
medical images, MICCAI 2008, 162-169, 2008.
Mathematical Image Processing and Analysis
1. Bin Dong, Zuowei Shen and Jianbin Yang, Approximation from
Noisy Data, accepted by SIAM Journal on Numerical Analysis, 2021.
2. Jae Kyu Choi, Bin Dong and Xiaoqun
Zhang, An
Edge Driven Wavelet Frame Model for Image Restoration, Applied and Computational
Harmonic Analysis, 48(3):993-1029, 2020.
MATLAB Codes （for deblurring and inpainting）
3. 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.
MATLAB Codes (for Table 2 and Table 3 with image example "Peppers")
4. Bin Dong, Zuowei Shen and Peichu Xie, Image restoration: a general wavelet frame based model and its asymptotic analysis, SIAM Journal on Mathematical Analysis, 49(1), 421-445, 2017.
5. 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.
6. Chenglong Bao, Bin Dong, Likun Hou, Zuowei Shen and Xiaoqun Zhang, Xue Zhang, Image restoration by minimizing zero norm of wavelet frame coefficients, Inverse Problems, 32(11), 2016.
7. Bin Dong, Qingtang Jiang, Chaoqiang Liu and Zuowei Shen, Multiscale Representation of Surfaces by Tight Wavelet Frames with Applications to Denoising, Applied and Computational and Harmonic Analysis, 41(2), 561-589, 2016.
8. Bin Dong and Yong Zhang, An efficient algorithm for l0 minimization in wavelet frame based image restoration, Journal of Scientific Computing, 54(2-3), 350-368, 2013.
9. Yong Zhang, Bin Dong and Zhaosong Lu, l0 minimization of wavelet frame based image restoration, Mathematics of Computation, 82, 995-1015, 2013.
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.
11. Jian Ye, Igor Yanovsky, Bin Dong, Rima Gandlin, Achi Brandt and Stanley Osher, Multigrid narrow band surface reconstruction via level set functions, 8th International Symposium on Visual Computing (ISVC), July 16-18, 2012, Greece.
12. Bin Dong, Hui Ji, Jia Li, Zuowei Shen and Yuhong Xu, Wavelet frame based blind image inpainting, Applied and Computational Harmonic Analysis, 32(2), 268-279, 2012.
13. Bin Dong and Zuowei Shen, Wavelet frame based surface reconstruction from unorganized points, Journal of Computational Physics, 230(22), 8247-8255, 2011.
14. Yu Mao, Bin Dong and Stanley Osher, A nonlinear PDE-based method for sparse deconvolution, Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, 8(3), 965-976, 2010.
15. Stanley Osher, Yu Mao, Bin Dong and Wotao Yin, Fast linearized Bregman iterations for compressive sensing and sparse denoising, Communications in Mathematical Sciences, 8(1), 93-111, 2010.
16. Bin Dong, Nira Dyn and Kai Hormann, Properties of dual pseudo-splines, Applied and Computational Harmonic Analysis, 29(1), 104-110, 2010.
17. Bin Dong, Jian Ye, Stanley Osher and Ivo Dinov, Level set based nonlocal surface restoration, Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Vol. 7(2), 589-598, 2008.
18. Bin Dong and Zuowei Shen, Pseudo-splines, wavelets and framelets, Applied and Computational Harmonic Analysis, 22, 78-104, 2007.
19. Bin Dong and Zuowei Shen, Linear independence of pseudo-splines, Proceedings of American Mathematical Society, 134, 2685-2694, 2006.
20. Bin Dong and Zuowei Shen, Construction of biorthogonal wavelets from pseudo-splines, Journal of Approximation Theory, Vol. 138 (2), 211-231, 2006.
Book (Chapters) /Review Papers
1. Chenyang Shen, Dan Nguyen, Zhiguo Zhou, Steve B. Jiang, Bin Dong, and Xun Jia, An
introduction to deep learning in medical physics: advantages, potential, and
challenges, Physics in Medicine and Biology, 65(5): 05TR01-, 2020.
2. 董彬，图像反问题中的数学与深度学习方法，计算数学，第41卷、第4期，2019年11月
3. Haimiao
Zhang and Bin Dong, A Review on
Deep Learning in Medical Image Reconstruction, Journal of the Operations
Research Society of China, 8(2):311-340, 2020 (arXiv:
1906.10643).
4. 欧高炎、朱占星、董彬、鄂维南，数据科学导引，高等教育出版社，2017年12月
5. 董彬、沈佐伟、张小群，图象恢复问题中的数学方法，中科院数学所讲座系列（席南华
主编），科学出版社，2017.
6. Bin Dong and Zuowei Shen, Image restoration: a data-driven perspective, Proceedings of the International Congress of Industrial and Applied Mathematics (ICIAM), Beijing, China, High Education Press (Lei Guo and Zhi-Ming Ma eds), 65-108, 2015.
7. Bin Dong and Zuowei Shen, MRA-based wavelet frames and applications, IAS Lecture Notes Series, Hong-Kai, ed. "Mathematics in Image Processing". Vol. 19. American Mathematical Society, 2013.
Others
1. “用深度神经网络学习偏微分方程及其数值求解的离散格式”，北京智源人工智能研究院，2020年1月19日。
2. “天生一对，硬核微分方程与深度学习的「联姻」之路”，机器之心，2019年5月17日。
3. Robert Crandall, Bin Dong and Ali Bilgin, Randomized Iterative Hard Thresholding: A Fast Approximate MMSE Estimator for Sparse Approximations, Technical Report, June 2013 (revised, April 2014).
4. Bin Dong, The implicit representation of biological shapes and forms, Biomedical Computation Review (issue: Spring 2009), Published by Simbios, the NIH National Center for Physics-Based Simulation of Biological Structures, 2009.
5. Bin Dong, Applications of Variational Models and Partial Differential Equations in Medical Image and Surface Processing, PhD Thesis, UCLA, 2009.
6.
Bin Dong, Pseudo-splines, Wavelets and
Framelets, M.S. Thesis, National University of Singapore, 2005.