Bin Dong(董彬) Long CV, Short CV

Associate Professor

Beijing International Center for Mathematical Research (BICMR), Peking University

Office: BICMR77101; 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

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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See Google Scholar for citations.

Machine Learning and Scientific Computing

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, arXiv:2111.08823, 2021.

2.       Xiang Huang, 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, Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks, arXiv:2111.01394, 2021.

3.       Zhengyi Li, Bin Dong and Yanli Wang, Learning Invariance Preserving Moment Closure Model for Boltzmann-BGK Equation, arXiv:2110.03682, 2021.

4.       Hexin Dong, Fei Yu, Jie Zhao, Bin Dong and Li Zhang, Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training, arXiv:2109.14219, 2021.

5.       Yuyan Chen, Bin Dong, Jinchao Xu, Meta-MgNet: Meta Multigrid Networks for Solving Parameterized Partial Differential Equations, arXiv:2010.14088, 2020.

Codes

6.       Stefan C. Schonsheck, Bin Dong and Rongjie Lai, Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds, accepted by SIAM Journal on Imaging Science, 2021 (arXiv:1805.07857).

7.       Pengfei Jin, Tianhao Lai, Rongjie Lai and Bin Dong, NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds, accepted by Journal of Scientific Computing, 2021 (arXiv: 1905.12218).

8.       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, NeurIPS 2021 Workshop on Deep Learning and Differential Equations, 2021 (arXiv:2009.01462).

9.       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).

10.    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.

11.    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).

Codes

12.    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).

Codes

13.    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).

Codes

14.    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.

15.    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).

16.    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).

Codes

17.    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).

Codes

18.    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).

Codes

19.    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).

Codes

20.    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).

21.    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).

Codes

22.    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

23.    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.

24.    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.

25.    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)

26.    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, 40(11), 2965-2975, 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 Alzheimers 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).

Codes

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), 621634, 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)

Codes

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.

MATLAB Codes

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), 575-5892016.

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, SIAM Journal on Numerical Analysis, 59(5), 2722-2745, 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.

MATLAB Codes

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.

MATLAB Codes

9.       Yong Zhang, Bin Dong and Zhaosong Lu, l0 minimization of wavelet frame based image restoration, Mathematics of Computation, 82, 995-1015, 2013.

MATLAB Codes

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.       Bin Dong, On Mathematical Modeling in Image Restoration and Beyond, Proceedings of the International Congress of Mathematicians, St. Petersburg, Russia, 2022.

2.       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.

3.       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,201911

4.       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).

5.       欧高炎、朱占星、董彬、鄂维南,数据科学导引,高等教育出版社,201712

6.       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.

7.       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.

8.       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.

 

Technical Reports

1.       Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong, Transferred Discrepancy: Quantifying the Difference Between Representations, arXiv:2007.12446, 2020.

2.       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.

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).

 

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2020119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,2019517日。

3.        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.

4.        Bin Dong, Applications of Variational Models and Partial Differential Equations in Medical Image and Surface Processing, PhD Thesis, UCLA, 2009.

5.        Bin Dong, Pseudo-splines, Wavelets and Framelets, M.S. Thesis, National University of Singapore, 2005.