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Bin Dong 0001

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affiliation: Peking University, Beijing International Center for Mathematical Research, China
affiliation: Peking University, Center for Data Science, Beijing, China

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2023
[b1]
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Gaoyan Ou, Zhanxing Zhu, Bin Dong, Weinan E, Binyang Li, Shumin Shi:
Introduction to Data Science. WorldScientific 2023, ISBN 9789811263897, pp. 1-444

Journal Articles

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2025
[j31]
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Zhuoyuan Li, Bin Dong, Pingwen Zhang:
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics. J. Comput. Phys. 539: 114240 (2025)
[j30]
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Bin Dong, Ting Lin, Zuowei Shen, Peichu Xie:
Analysis of a Wavelet Frame Based Two-Scale Model for Enhanced Edges. SIAM J. Imaging Sci. 18(3): 2008-2057 (2025)
2024
[j29]
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Zhuoyuan Li, Bin Dong, Pingwen Zhang:
Latent assimilation with implicit neural representations for unknown dynamics. J. Comput. Phys. 506: 112953 (2024)
[j28]
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Zhengyi Li, Yanli Wang, Hongsheng Liu, Zidong Wang, Bin Dong:
Solving the Boltzmann Equation with a Neural Sparse Representation. SIAM J. Sci. Comput. 46(2): 186- (2024)
[j27]
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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 in OFDM systems. Signal Process. 223: 109554 (2024)
2023
[j26]
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Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi:
A Scalable Deep Learning Approach for Solving High-Dimensional Dynamic Optimal Transport. SIAM J. Sci. Comput. 45(4): 544- (2023)
2021
[j25]
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Bin Dong, Zuowei Shen, Jianbin Yang:
Approximation from Noisy Data. SIAM J. Numer. Anal. 59(5): 2722-2745 (2021)
[j24]
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Haimiao Zhang, Baodong Liu, Hengyong Yu, Bin Dong:
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction. IEEE Trans. Medical Imaging 40(2): 621-634 (2021)
[j23]
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Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang:
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. IEEE Trans. Medical Imaging 40(11): 2965-2975 (2021)
2020
[j22]
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Junyu Liu, Xiao Wang, Yan Zhao, Bin Dong, Kuan Lu, Ranran Wang:
Heating Load Forecasting for Combined Heat and Power Plants Via Strand-Based LSTM. IEEE Access 8: 33360-33369 (2020)
[j21]
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Bin Dong, Haocheng Ju, Yiping Lu, Zuoqiang Shi:
CURE: Curvature Regularization for Missing Data Recovery. SIAM J. Imaging Sci. 13(4): 2169-2188 (2020)
2019
[j20]
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Zichao Long, Yiping Lu, Bin Dong:
PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network. J. Comput. Phys. 399 (2019)
[j19]
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Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. Medical Image Anal. 57: 44-55 (2019)
[j18]
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Chenglong Bao, Jae Kyu Choi, Bin Dong:
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. SIAM J. Imaging Sci. 12(1): 492-520 (2019)
[j17]
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Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. IEEE Trans. Medical Imaging 38(12): 2838-2848 (2019)
2018
[j16]
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Zenghui Wei, Baodong Liu, Bin Dong, Long Wei:
A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography. IEEE Access 6: 7780-7791 (2018)
[j15]
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Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. Frontiers Neuroinformatics 12: 57 (2018)
[j14]
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Haimiao Zhang, Bin Dong, Baodong Liu:
A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction. SIAM J. Imaging Sci. 11(1): 707-733 (2018)
2017
[j13]
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Bin Dong, Qingtang Jiang, Zuowei Shen:
Image Restoration: Wavelet Frame Shrinkage, Nonlinear Evolution PDEs, and Beyond. Multiscale Model. Simul. 15(1): 606-660 (2017)
[j12]
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Bin Dong, Zuowei Shen, Peichu Xie:
Image Restoration: A General Wavelet Frame Based Model and Its Asymptotic Analysis. SIAM J. Math. Anal. 49(1): 421-445 (2017)
2016
[j11]
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Jiulong Liu, Xiaoqun Zhang, Bin Dong, Zuowei Shen, Lixu Gu:
A Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation. SIAM J. Imaging Sci. 9(2): 495-519 (2016)
2013
[j10]
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Bin Dong, Jia Li, Zuowei Shen:
X-Ray CT Image Reconstruction via Wavelet Frame Based Regularization and Radon Domain Inpainting. J. Sci. Comput. 54(2-3): 333-349 (2013)
[j9]
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Bin Dong, Yong Zhang:
An Efficient Algorithm for ℓ 0 Minimization in Wavelet Frame Based Image Restoration. J. Sci. Comput. 54(2-3): 350-368 (2013)
[j8]
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Yong Zhang, Bin Dong, Zhaosong Lu:
ℓ₀ Minimization for wavelet frame based image restoration. Math. Comput. 82(282): 995-1015 (2013)
[j7]
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Li-Tien Cheng, Bin Dong, Chunhua Men, Xun Jia, Steve B. Jiang:
Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment. SIAM J. Sci. Comput. 35(6) (2013)
2012
[j6]
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Daren Lee, Ivo D. Dinov, Bin Dong, Boris Gutman, Igor Yanovsky, Arthur W. Toga:
CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms. Comput. Methods Programs Biomed. 106(3): 175-187 (2012)
2011
[j5]
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Bin Dong, Zuowei Shen:
Wavelet frame based surface reconstruction from unorganized points. J. Comput. Phys. 230(22): 8247-8255 (2011)
2010
[j4]
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Yu Mao, Bin Dong, Stanley J. Osher:
A Nonlinear PDE-Based Method for Sparse Deconvolution. Multiscale Model. Simul. 8(3): 965-976 (2010)
[j3]
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Bin Dong, Aichi Chien, Zuowei Shen, Stanley J. Osher:
A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery. SIAM J. Sci. Comput. 32(4): 1724-1739 (2010)
2008
[j2]
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Bin Dong, Jian Ye, Stanley J. Osher, Ivo D. Dinov:
Level Set Based Nonlocal Surface Restoration. Multiscale Model. Simul. 7(2): 589-598 (2008)
2006
[j1]
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Bin Dong, Zuowei Shen:
Construction of biorthogonal wavelets from pseudo-splines. J. Approx. Theory 138(2): 211-231 (2006)

Conference and Workshop Papers

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2025
[c38]
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Guoxiong Gao, Yutong Wang, Jiedong Jiang, Qi Gao, Zihan Qin, Tianyi Xu, Bin Dong:
Herald: A Natural Language Annotated Lean 4 Dataset. ICLR 2025
[c37]
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Haoshen Li, Tashan Ai, Yirui Wang, Zhanghexuan Ji, Qinji Yu, Le Lu, Bin Dong, Li Zhang, Xianghua Ye, Kuaile Zhao, Dakai Jin:
Lymph Node Metastasis Classification with Prototype-Guided Multiple Instance Aggregation and Heterogeneous Feature Fusion. MICCAI (1) 2025: 312-321
[c36]
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Haoshen Li, Yirui Wang, Qinji Yu, Jie Zhu, Ke Yan, Dazhou Guo, Le Lu, Bin Dong, Li Zhang, Xianghua Ye, Qifeng Wang, Dakai Jin:
Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-Guided Supervision and Station-Aware Mixture-of-Experts. MICCAI (13) 2025: 360-370
2024
[c35]
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Guoxiong Gao, Haocheng Ju, Jiedong Jiang, Zihan Qin, Bin Dong:
A Semantic Search Engine for Mathlib4. EMNLP (Findings) 2024: 8001-8013
[c34]
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Heyun Chen, Zifan Chen, Jie Zhao, Haoshen Li, Jiazheng Li, Yiting Liu, Mingze Yuan, Peng Bao, Xinyu Nan, Bin Dong, Lei Tang, Li Zhang:
MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans. ISBI 2024: 1-5
[c33]
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Haoshen Li, Zifan Chen, Jie Zhao, Heyun Chen, Hexin Dong, Mingze Yuan, Bin Dong, Li Zhang:
Multi-Scale Clinical-Guided Binocular Fusion Framework for Predicting New-Onset Hypertension Over a Four-Year Period. ISBI 2024: 1-5
2023
[c32]
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Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CVPR 2023: 23879-23889
[c31]
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Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. MICCAI (5) 2023: 146-156
[c30]
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Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Zaiyi Liu, Li Zhang, Yu Shi, Ling Zhang:
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. MICCAI (5) 2023: 241-251
[c29]
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Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li:
Unsupervised Image Denoising with Score Function. NeurIPS 2023
2022
[c28]
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Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang:
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. IJCAI 2022: 863-869
[c27]
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Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Bin Dong, Lei Chen:
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source. IJCAI 2022: 3839-3846
[c26]
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Mo Zhang, Bin Dong, Quanzheng Li:
Ms-Gwnn: Multi-Scale Graph Wavelet Neural Network for Breast Cancer Diagnosis. ISBI 2022: 1-5
[c25]
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Mo Zhang, Bin Dong, Quanzheng Li:
Joint Attention for Medical Image Segmentation. ISBI 2022: 1-5
[c24]
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Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. NeurIPS 2022
2021
[c23]
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  - conf/aaai/YuZDHDZ21
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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: 10754-10762
[c22]
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Ce Wang, Haimiao Zhang, Qian Li, Kun Shang, Yuanyuan Lyu, Bin Dong, S. Kevin Zhou:
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation. MICCAI (6) 2021: 86-96
2020
[c21]
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Hexin Dong, Fei Yu, Han Jiang, Hua Zhang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images. ISBI 2020: 354-358
[c20]
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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. ISBI 2020: 1503-1507
[c19]
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Mo Zhang, Bin Dong, Quanzheng Li:
Deep Active Contour Network for Medical Image Segmentation. MICCAI (4) 2020: 321-331
2019
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Haimiao Zhang, Bin Dong, Baodong Liu:
JSR-Net: A Deep Network for Joint Spatial-radon Domain CT Reconstruction from Incomplete Data. ICASSP 2019: 3657-3661
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Xiaoshuai Zhang, Yiping Lu, Jiaying Liu, Bin Dong:
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration. ICLR (Poster) 2019
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Yini Pan, Hongfeng Li, Lili Liu, Quanzheng Li, Xinlin Hou, Bin Dong:
aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection. MMMI@MICCAI 2019: 76-84
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Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. MICCAI (2) 2019: 714-722
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Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong:
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle. NeurIPS 2019: 227-238
2018
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Zichao Long, Yiping Lu, Xianzhong Ma, Bin Dong:
PDE-Net: Learning PDEs from Data. ICLR (Workshop) 2018
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Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong:
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICLR (Workshop) 2018
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Zichao Long, Yiping Lu, Xianzhong Ma, Bin Dong:
PDE-Net: Learning PDEs from Data. ICML 2018: 3214-3222
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Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong:
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICML 2018: 3282-3291
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Dufan Wu, Kyung Sang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li:
End-to-End Lung Nodule Detection in Computed Tomography. MLMI@MICCAI 2018: 37-45
2017
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Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
q-Space Upsampling Using x-q Space Regularization. MICCAI (1) 2017: 620-628
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Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. MICCAI (1) 2017: 629-637
2016
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Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen:
Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation. MICCAI (3) 2016: 561-569
2012
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Jian Ye, Igor Yanovsky, Bin Dong, Rima Gandlin, Achi Brandt, Stanley J. Osher:
Multigrid Narrow Band Surface Reconstruction via Level Set Functions. ISVC (1) 2012: 61-70
2010
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Xun Jia, Yifei Lou, Bin Dong, Zhen Tian, Steve B. Jiang:
4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization. MICCAI (1) 2010: 143-150
2009
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Bin Dong, Eric Savitsky, Stanley J. Osher:
A Novel Method for Enhanced Needle Localization Using Ultrasound-Guidance. ISVC (1) 2009: 914-923
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Bin Dong, Yu Mao, Ivo D. Dinov, Zhuowen Tu, Yonggang Shi, Yalin Wang, Arthur W. Toga:
Wavelet-Based Representation of Biological Shapes. ISVC (1) 2009: 955-964
2008
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Bin Dong, Aichi Chien, Yu Mao, Jian Ye, Stanley J. Osher:
Level Set Based Surface Capturing in 3D Medical Images. MICCAI (1) 2008: 162-169

Editorship

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2023
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Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents]
2022
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Xiang Li, Jinglei Lv, Yuankai Huo, Bin Dong, Richard M. Leahy, Quanzheng Li:
Multiscale Multimodal Medical Imaging - Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13594, Springer 2022, ISBN 978-3-031-18813-8 [contents]
2021
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Tanveer F. Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard M. Leahy, Bin Dong, Hongzhi Wang:
Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13050, Springer 2021, ISBN 978-3-030-89846-5 [contents]
2020
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Quanzheng Li, Richard M. Leahy, Bin Dong, Xiang Li:
Multiscale Multimodal Medical Imaging - First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11977, Springer 2020, ISBN 978-3-030-37968-1 [contents]

Informal and Other Publications

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2025
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Xinyu Nan, Meng He, Zifan Chen, Bin Dong, Lei Tang, Li Zhang:
AI-Driven Automated Tool for Abdominal CT Body Composition Analysis in Gastrointestinal Cancer Management. CoRR abs/2503.07248 (2025)
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Zhanhong Ye, Zining Liu, Bingyang Wu, Hongjie Jiang, Leheng Chen, Minyan Zhang, Xiang Huang, Qinghe Meng, Jingyuan Zou, Hongsheng Liu, Bin Dong:
PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations. CoRR abs/2507.15409 (2025)
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Haocheng Ju, Tianyi Xu, Bin Dong:
Connected Theorems: A Graph-Based Approach to Evaluating Mathematical Results. CoRR abs/2508.17596 (2025)
2024
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Zhanhong Ye, Xiang Huang, Leheng Chen, Hongsheng Liu, Zidong Wang, Bin Dong:
PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations. CoRR abs/2402.12652 (2024)
[i49]
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Guoxiong Gao, Haocheng Ju, Jiedong Jiang, Zihan Qin, Bin Dong:
A Semantic Search Engine for Mathlib4. CoRR abs/2403.13310 (2024)
[i48]
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Zhanhong Ye, Xiang Huang, Leheng Chen, Zining Liu, Bingyang Wu, Hongsheng Liu, Zidong Wang, Bin Dong:
PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations. CoRR abs/2407.06664 (2024)
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Zhuoyuan Li, Bin Dong, Pingwen Zhang:
State-observation augmented diffusion model for nonlinear assimilation. CoRR abs/2407.21314 (2024)
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Zifan Chen, Xinyu Nan, Jiazheng Li, Jie Zhao, Haifeng Li, Zilin Lin, Haoshen Li, Heyun Chen, Yiting Liu, Bin Dong, Li Zhang, Lei Tang:
PropSAM: A Propagation-Based Model for Segmenting Any 3D Objects in Multi-Modal Medical Images. CoRR abs/2408.13836 (2024)
[i45]
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Guoxiong Gao, Yutong Wang, Jiedong Jiang, Qi Gao, Zihan Qin, Tianyi Xu, Bin Dong:
Herald: A Natural Language Annotated Lean 4 Dataset. CoRR abs/2410.10878 (2024)
2023
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Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li:
Diffusion Model for Generative Image Denoising. CoRR abs/2302.02398 (2023)
[i43]
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Zhanhong Ye, Xiang Huang, Hongsheng Liu, Bin Dong:
Meta-Auto-Decoder: A Meta-Learning Based Reduced Order Model for Solving Parametric Partial Differential Equations. CoRR abs/2302.08263 (2023)
[i42]
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Zhengyi Li, Yanli Wang, Hongsheng Liu, Zidong Wang, Bin Dong:
Solving Boltzmann equation with neural sparse representation. CoRR abs/2302.09233 (2023)
[i41]
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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. CoRR abs/2303.03678 (2023)
[i40]
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Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CoRR abs/2304.00212 (2023)
[i39]
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Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li:
Unsupervised Image Denoising with Score Function. CoRR abs/2304.08384 (2023)
[i38]
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Zifan Chen, Jiazheng Li, Jie Zhao, Yiting Liu, Hongfeng Li, Bin Dong, Lei Tang, Li Zhang:
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans. CoRR abs/2305.17871 (2023)
[i37]
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  - journals/corr/abs-2306-14390
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Zhanhong Ye, Hongsheng Liu, Zidong Wang, Bin Dong:
Analysis of the Decoder Width for Parametric Partial Differential Equations. CoRR abs/2306.14390 (2023)
[i36]
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  - journals/corr/abs-2307-04525
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Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. CoRR abs/2307.04525 (2023)
[i35]
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  - journals/corr/abs-2307-14395
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Xiang Huang, Zhuoyuan Li, Hongsheng Liu, Zidong Wang, Hongye Zhou, Bin Dong, Bei Hua:
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators. CoRR abs/2307.14395 (2023)
[i34]
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Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Yu Shi, Ling Zhang:
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer. CoRR abs/2308.00507 (2023)
[i33]
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Zhuoyuan Li, Bin Dong, Pingwen Zhang:
Latent assimilation with implicit neural representations for unknown dynamics. CoRR abs/2309.09574 (2023)
[i32]
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  - journals/corr/abs-2311-01918
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Mingze Yuan, Peng Bao, Jiajia Yuan, Yunhao Shen, Zifan Chen, Yi Xie, Jie Zhao, Yang Chen, Li Zhang, Lin Shen, Bin Dong:
Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review. CoRR abs/2311.01918 (2023)
2022
[i31]
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Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li:
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. CoRR abs/2202.03674 (2022)
[i30]
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  - journals/corr/abs-2205-07521
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Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi:
A scalable deep learning approach for solving high-dimensional dynamic optimal transport. CoRR abs/2205.07521 (2022)
[i29]
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Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang:
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. CoRR abs/2205.08083 (2022)
2021
[i28]
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Ce Wang, Haimiao Zhang, Qian Li, Kun Shang, Yuanyuan Lyu, Bin Dong, S. Kevin Zhou:
Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation. CoRR abs/2103.05255 (2021)
[i27]
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  - journals/corr/abs-2109-14219
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Hexin Dong, Fei Yu, Jie Zhao, Bin Dong, Li Zhang:
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training. CoRR abs/2109.14219 (2021)
[i26]
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  - journals/corr/abs-2111-01394
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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. CoRR abs/2111.01394 (2021)
[i25]
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  - journals/corr/abs-2111-08823
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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. CoRR abs/2111.08823 (2021)
[i24]
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  - journals/corr/abs-2112-05387
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Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong:
Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. CoRR abs/2112.05387 (2021)
2020
[i23]
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  - journals/corr/abs-2005-09363
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Chizhou Liu, Yunzhen Feng, Ranran Wang, Bin Dong:
Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling. CoRR abs/2005.09363 (2020)
[i22]
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  - journals/corr/abs-2006-00171
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Haimiao Zhang, Baodong Liu, Hengyong Yu, Bin Dong:
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction. CoRR abs/2006.00171 (2020)
[i21]
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  - journals/corr/abs-2006-02377
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Junyu Liu, Zichao Long, Ranran Wang, Jie Sun, Bin Dong:
RODE-Net: Learning Ordinary Differential Equations with Randomness from Data. CoRR abs/2006.02377 (2020)
[i20]
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  - journals/corr/abs-2006-02420
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Ziju Shen, Yufei Wang, Dufan Wu, Xu Yang, Bin Dong:
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging. CoRR abs/2006.02420 (2020)
[i19]
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  - journals/corr/abs-2007-12446
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Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong:
Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR abs/2007.12446 (2020)
[i18]
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  - journals/corr/abs-2011-14873
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Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang:
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. CoRR abs/2011.14873 (2020)
2019
[i17]
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  - journals/corr/abs-1901-09548
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Bin Dong, Haocheng Ju, Yiping Lu, Zuoqiang Shi:
CURE: Curvature Regularization For Missing Data Recovery. CoRR abs/1901.09548 (2019)
[i16]
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  - journals/corr/abs-1905-00877
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Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong:
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle. CoRR abs/1905.00877 (2019)
[i15]
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  - journals/corr/abs-1905-11079
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Yufei Wang, Ziju Shen, Zichao Long, Bin Dong:
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning. CoRR abs/1905.11079 (2019)
[i14]
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  - journals/corr/abs-1906-02762
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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. CoRR abs/1906.02762 (2019)
[i13]
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  - journals/corr/abs-1906-10643
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Haimiao Zhang, Bin Dong:
A Review on Deep Learning in Medical Image Reconstruction. CoRR abs/1906.10643 (2019)
[i12]
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  - journals/corr/abs-1907-11483
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Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. CoRR abs/1907.11483 (2019)
[i11]
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  - journals/corr/abs-1910-01255
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Bin Dong, Jikai Hou, Yiping Lu, Zhihua Zhang:
Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network. CoRR abs/1910.01255 (2019)
2018
[i10]
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  - journals/corr/abs-1805-07709
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Xiaoshuai Zhang, Yiping Lu, Jiaying Liu, Bin Dong:
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration. CoRR abs/1805.07709 (2018)
[i9]
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  - journals/corr/abs-1805-12521
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Chenglong Bao, Jae Kyu Choi, Bin Dong:
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. CoRR abs/1805.12521 (2018)
[i8]
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  - journals/corr/abs-1812-00510
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Haimiao Zhang, Bin Dong, Baodong Liu:
JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete data. CoRR abs/1812.00510 (2018)
[i7]
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  - journals/corr/abs-1812-04426
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Zichao Long, Yiping Lu, Bin Dong:
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network. CoRR abs/1812.04426 (2018)
2017
[i6]
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  - journals/corr/abs-1710-09668
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Zichao Long, Yiping Lu, Xianzhong Ma, Bin Dong:
PDE-Net: Learning PDEs from Data. CoRR abs/1710.09668 (2017)
[i5]
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  - journals/corr/abs-1710-10121
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Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong:
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. CoRR abs/1710.10121 (2017)
[i4]
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  - journals/corr/abs-1711-02074
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Dufan Wu, Kyung Sang Kim, Bin Dong, Quanzheng Li:
End-to-End Abnormality Detection in Medical Imaging. CoRR abs/1711.02074 (2017)
2016
[i3]
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  - journals/corr/DongSX16
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Bin Dong, Zuowei Shen, Peichu Xie:
Image Restoration: A General Wavelet Frame Based Model and Its Asymptotic Analysis. CoRR abs/1602.05332 (2016)
2011
[i2]
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  - journals/corr/abs-1104-0262
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Stanley J. Osher, Yu Mao, Bin Dong, Wotao Yin:
Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising. CoRR abs/1104.0262 (2011)
[i1]
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  - journals/corr/abs-1105-2782
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Yong Zhang, Bin Dong, Zhaosong Lu:
ℓ₀ Minimization for Wavelet Frame Based Image Restoration. CoRR abs/1105.2782 (2011)

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