Construction of biorthogonal wavelets from pseudo-splines. - Bin Dong 001; Zuowei Shen (J. Approx. Theory, 2006)

Level Set Based Surface Capturing in 3D Medical Images. - Bin Dong 001; Aichi Chien; Yu Mao; Jian Ye; Stanley J. Osher (MICCAI (1), 2008)

Level Set Based Nonlocal Surface Restoration. - Bin Dong 001; Jian Ye; Stanley J. Osher; Ivo D. Dinov (Multiscale Model. Simul., 2008)

Wavelet-Based Representation of Biological Shapes. - Bin Dong 001; Yu Mao; Ivo D. Dinov; Zhuowen Tu; Yonggang Shi; Yalin Wang 001; Arthur W. Toga (ISVC (1), 2009)

A Novel Method for Enhanced Needle Localization Using Ultrasound-Guidance. - Bin Dong 001; Eric Savitsky; Stanley J. Osher (ISVC (1), 2009)

4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization. - Xun Jia; Yifei Lou; Bin Dong 001; Zhen Tian; Steve B. Jiang (MICCAI (1), 2010)

A Nonlinear PDE-Based Method for Sparse Deconvolution. - Yu Mao; Bin Dong 001; Stanley J. Osher (Multiscale Model. Simul., 2010)

A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery. - Bin Dong 001; Aichi Chien; Zuowei Shen; Stanley J. Osher (SIAM J. Sci. Comput., 2010)

Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising - Stanley J. Osher; Yu Mao; Bin Dong 001; Wotao Yin (CoRR, 2011)

Wavelet frame based surface reconstruction from unorganized points. - Bin Dong 001; Zuowei Shen (J. Comput. Phys., 2011)

Multigrid Narrow Band Surface Reconstruction via Level Set Functions. - Jian Ye; Igor Yanovsky; Bin Dong 001; Rima Gandlin; Achi Brandt; Stanley J. Osher (ISVC (1), 2012)

CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms. - Daren Lee; Ivo D. Dinov; Bin Dong 001; Boris Gutman; Igor Yanovsky; Arthur W. Toga (Comput. Methods Programs Biomed., 2012)

X-Ray CT Image Reconstruction via Wavelet Frame Based Regularization and Radon Domain Inpainting. - Bin Dong 001; Jia Li; Zuowei Shen (J. Sci. Comput., 2013)

An Efficient Algorithm for ℓ 0 Minimization in Wavelet Frame Based Image Restoration. - Bin Dong 001; Yong Zhang 004 (J. Sci. Comput., 2013)

ℓ0 Minimization for wavelet frame based image restoration. - Yong Zhang 004; Bin Dong 001; Zhaosong Lu (Math. Comput., 2013)

Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment. - Li-Tien Cheng; Bin Dong 001; Chunhua Men; Xun Jia; Steve B. Jiang (SIAM J. Sci. Comput., 2013)

Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation. - Pew-Thian Yap; Bin Dong 001; Yong Zhang 004; Dinggang Shen (MICCAI (3), 2016)

A Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation. - Jiulong Liu; Xiaoqun Zhang; Bin Dong 001; Zuowei Shen; Lixu Gu (SIAM J. Imaging Sci., 2016)

q-Space Upsampling Using x-q Space Regularization. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Dinggang Shen; Pew-Thian Yap (MICCAI (1), 2017)

Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Dinggang Shen; Pew-Thian Yap (MICCAI (1), 2017)

End-to-End Abnormality Detection in Medical Imaging. - Dufan Wu; Kyung Sang Kim; Bin Dong 001; Quanzheng Li (CoRR, 2017)

Image Restoration: Wavelet Frame Shrinkage, Nonlinear Evolution PDEs, and Beyond. - Bin Dong 001; Qingtang Jiang; Zuowei Shen (Multiscale Model. Simul., 2017)

Image Restoration: A General Wavelet Frame Based Model and Its Asymptotic Analysis. - Bin Dong 001; Zuowei Shen; Peichu Xie (SIAM J. Math. Anal., 2017)

PDE-Net: Learning PDEs from Data. - Zichao Long; Yiping Lu 001; Xianzhong Ma; Bin Dong 001 (ICML, 2018)

Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. - Yiping Lu 001; Aoxiao Zhong; Quanzheng Li; Bin Dong 001 (ICML, 2018)

End-to-End Lung Nodule Detection in Computed Tomography. - Dufan Wu; Kyung Sang Kim; Bin Dong 001; Georges El Fakhri; Quanzheng Li (MLMI@MICCAI, 2018)

A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography. - Zenghui Wei; Baodong Liu; Bin Dong 001; Long Wei (IEEE Access, 2018)

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (Frontiers Neuroinformatics, 2018)

A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction. - Haimiao Zhang; Bin Dong 001; Baodong Liu (SIAM J. Imaging Sci., 2018)

JSR-Net: A Deep Network for Joint Spatial-radon Domain CT Reconstruction from Incomplete Data. - Haimiao Zhang; Bin Dong 001; Baodong Liu (ICASSP, 2019)

Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration. - Xiaoshuai Zhang; Yiping Lu 001; Jiaying Liu 001; Bin Dong 001 (ICLR (Poster), 2019)

aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection. - Yini Pan; Hongfeng Li; Lili Liu; Quanzheng Li; Xinlin Hou; Bin Dong 001 (MMMI@MICCAI, 2019)

Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. - Fei Yu; Jie Zhao 009; Yanjun Gong; Zhi Wang; Yuxi Li 003; Fan Yang; Bin Dong 001; Quanzheng Li; Li Zhang 047 (MICCAI (2), 2019)

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle. - Dinghuai Zhang; Tianyuan Zhang; Yiping Lu 001; Zhanxing Zhu; Bin Dong 001 (NeurIPS, 2019)

Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning. - Yufei Wang; Ziju Shen; Zichao Long; Bin Dong 001 (CoRR, 2019)

Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. - Yiping Lu 001; Zhuohan Li 001; Di He 001; Zhiqing Sun; Bin Dong 001; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (CoRR, 2019)

A Review on Deep Learning in Medical Image Reconstruction. - Haimiao Zhang; Bin Dong 001 (CoRR, 2019)

Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network. - Bin Dong 001; Jikai Hou; Yiping Lu 001; Zhihua Zhang (CoRR, 2019)

PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network. - Zichao Long; Yiping Lu 001; Bin Dong 001 (J. Comput. Phys., 2019)

XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2019)

Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. - Chenglong Bao; Jae Kyu Choi; Bin Dong 001 (SIAM J. Imaging Sci., 2019)

Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2019)

Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images. - Hexin Dong; Fei Yu; Han Jiang; Hua Zhang; Bin Dong 001; Quanzheng Li; Li Zhang 047 (ISBI, 2020)

AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network. - Fei Yu; Hexin Dong; Mo Zhang; Jie Zhao 009; Bin Dong 001; Quanzheng Li; Li Zhang 047 (ISBI, 2020)

Deep Active Contour Network for Medical Image Segmentation. - Mo Zhang; Bin Dong 001; Quanzheng Li (MICCAI (4), 2020)

Heating Load Forecasting for Combined Heat and Power Plants Via Strand-Based LSTM. - Junyu Liu; Xiao Wang; Yan Zhao 030; Bin Dong 001; Kuan Lu; Ranran Wang 002 (IEEE Access, 2020)

Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling. - Chizhou Liu; Yunzhen Feng; Ranran Wang 002; Bin Dong 001 (CoRR, 2020)

RODE-Net: Learning Ordinary Differential Equations with Randomness from Data. - Junyu Liu; Zichao Long; Ranran Wang 002; Jie Sun; Bin Dong 001 (CoRR, 2020)

Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging. - Ziju Shen; Yufei Wang; Dufan Wu; Xu Yang; Bin Dong 001 (CoRR, 2020)

Transferred Discrepancy: Quantifying the Difference Between Representations. - Yunzhen Feng; Runtian Zhai; Di He 001; Liwei Wang 001; Bin Dong 001 (CoRR, 2020)

CURE: Curvature Regularization for Missing Data Recovery. - Bin Dong 001; Haocheng Ju; Yiping Lu 001; Zuoqiang Shi (SIAM J. Imaging Sci., 2020)

DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training. - Fei Yu; Mo Zhang; Hexin Dong; Sheng Hu; Bin Dong 001; Li Zhang 047 (AAAI, 2021)

Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation. - Ce Wang; Haimiao Zhang; Qian Li; Kun Shang; Yuanyuan Lyu; Bin Dong 001; S. Kevin Zhou (MICCAI (6), 2021)

Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation. - Ce Wang; Haimiao Zhang; Qian Li; Kun Shang; Yuanyuan Lyu; Bin Dong 001; S. Kevin Zhou (CoRR, 2021)

Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training. - Hexin Dong; Fei Yu; Jie Zhao 009; Bin Dong 001; Li Zhang 047 (CoRR, 2021)

Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks. - Xiang Huang; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Bingya Weng; Min Wang 037; Haotian Chu; Jing Zhou; Fan Yu; Bei Hua; et al. (CoRR, 2021)

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. - Xiang Huang; Zhanhong Ye; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Bingya Weng; Min Wang 037; Haotian Chu; Jing Zhou; Fan Yu; et al. (CoRR, 2021)

Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. - Qi Sun; Hexin Dong; Zewei Chen; Jiacheng Sun; Zhenguo Li; Bin Dong 001 (CoRR, 2021)

Approximation from Noisy Data. - Bin Dong 001; Zuowei Shen; Jianbin Yang (SIAM J. Numer. Anal., 2021)

Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. - Ti Bai; Biling Wang; Dan Nguyen; Bao Wang 001; Bin Dong 001; Wenxiang Cong; Mannudeep K. Kalra; Steve B. Jiang (IEEE Trans. Medical Imaging, 2021)

MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction. - Haimiao Zhang; Baodong Liu; Hengyong Yu; Bin Dong 001 (IEEE Trans. Medical Imaging, 2021)

Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. - Hexin Dong; Zifan Chen; Mingze Yuan; Yutong Xie 004; Jie Zhao 009; Fei Yu; Bin Dong 001; Li Zhang 047 (IJCAI, 2022)

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source. - Xiang Huang; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Min Wang 037; Haotian Chu; Jing Zhou; Fan Yu; Bei Hua; Bin Dong 001; et al. (IJCAI, 2022)

Ms-Gwnn: Multi-Scale Graph Wavelet Neural Network for Breast Cancer Diagnosis. - Mo Zhang; Bin Dong 001; Quanzheng Li (ISBI, 2022)

Joint Attention for Medical Image Segmentation. - Mo Zhang; Bin Dong 001; Quanzheng Li (ISBI, 2022)

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. - Xiang Huang; Zhanhong Ye; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Min Wang 037; Haotian Chu; Fan Yu; Bei Hua; Lei Chen 002; et al. (NeurIPS, 2022)

Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. - Yutong Xie 004; Dufan Wu; Bin Dong 001; Quanzheng Li (CoRR, 2022)

Introduction to Data Science - Gaoyan Ou; Zhanxing Zhu; Bin Dong 001; Weinan E; Binyang Li; Shumin Shi (WorldScientific, 2023)

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. - Mingze Yuan; Yingda Xia; Hexin Dong; Zifan Chen; Jiawen Yao; Mingyan Qiu; Ke Yan 006; Xiaoli Yin; Yu Shi; Xin Chen 058; Zaiyi Liu; Bin Dong 001; et al. (CVPR, 2023)

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. - Hexin Dong; Jiawen Yao; Yuxing Tang; Mingze Yuan; Yingda Xia; Jian Zhou; Hong Lu; Jingren Zhou 001; Bin Dong 001; Le Lu 001; Zaiyi Liu; Li Zhang 047; et al. (MICCAI (5), 2023)

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. - Mingze Yuan; Yingda Xia; Xin Chen 058; Jiawen Yao; Junli Wang; Mingyan Qiu; Hexin Dong; Jingren Zhou 001; Bin Dong 001; Le Lu 001; Li Zhang 047; Zaiyi Liu; et al. (MICCAI (5), 2023)

Unsupervised Image Denoising with Score Function. - Yutong Xie 004; Mingze Yuan; Bin Dong 001; Quanzheng Li (NeurIPS, 2023)

Diffusion Model for Generative Image Denoising. - Yutong Xie 004; Minne Yuan; Bin Dong 001; Quanzheng Li (CoRR, 2023)

Meta-Auto-Decoder: A Meta-Learning Based Reduced Order Model for Solving Parametric Partial Differential Equations. - Zhanhong Ye; Xiang Huang; Hongsheng Liu 002; Bin Dong 001 (CoRR, 2023)

A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection. - Haocheng Ju; Haimiao Zhang; Lin Li; Xiao Li; Bin Dong 001 (CoRR, 2023)

propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans. - Zifan Chen; Jiazheng Li 011; Jie Zhao 009; Yiting Liu; Hongfeng Li; Bin Dong 001; Lei Tang; Li Zhang 047 (CoRR, 2023)

Analysis of the Decoder Width for Parametric Partial Differential Equations. - Zhanhong Ye; Hongsheng Liu 002; Zidong Wang 010; Bin Dong 001 (CoRR, 2023)

Learning to simulate partially known spatio-temporal dynamics with trainable difference operators. - Xiang Huang; Zhuoyuan Li 005; Hongsheng Liu 002; Zidong Wang 010; Hongye Zhou; Bin Dong 001; Bei Hua (CoRR, 2023)

Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review. - Mingze Yuan; Peng Bao; Jiajia Yuan; Yunhao Shen; Zifan Chen; Yi Xie; Jie Zhao 009; Yang Chen; Li Zhang 047; Lin Shen; Bin Dong 001 (CoRR, 2023)

A Scalable Deep Learning Approach for Solving High-Dimensional Dynamic Optimal Transport. - Wei Wan; Yuejin Zhang; Chenglong Bao; Bin Dong 001; Zuoqiang Shi (SIAM J. Sci. Comput., 2023)

A Semantic Search Engine for Mathlib4. - Guoxiong Gao; Haocheng Ju; Jiedong Jiang; Zihan Qin; Bin Dong 001 (EMNLP (Findings), 2024)

MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans. - Heyun Chen; Zifan Chen; Jie Zhao 009; Haoshen Li; Jiazheng Li 011; Yiting Liu; Mingze Yuan; Peng Bao; Xinyu Nan; Bin Dong 001; Lei Tang; Li Zhang 047 (ISBI, 2024)

Multi-Scale Clinical-Guided Binocular Fusion Framework for Predicting New-Onset Hypertension Over a Four-Year Period. - Haoshen Li; Zifan Chen; Jie Zhao 009; Heyun Chen; Hexin Dong; Mingze Yuan; Bin Dong 001; Li Zhang 047 (ISBI, 2024)

PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations. - Zhanhong Ye; Xiang Huang; Leheng Chen; Hongsheng Liu 002; Zidong Wang 010; Bin Dong 001 (CoRR, 2024)

PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations. - Zhanhong Ye; Xiang Huang; Leheng Chen; Zining Liu; Bingyang Wu; Hongsheng Liu 002; Zidong Wang 010; Bin Dong 001 (CoRR, 2024)

State-observation augmented diffusion model for nonlinear assimilation. - Zhuoyuan Li 005; Bin Dong 001; Pingwen Zhang (CoRR, 2024)

PropSAM: A Propagation-Based Model for Segmenting Any 3D Objects in Multi-Modal Medical Images. - Zifan Chen; Xinyu Nan; Jiazheng Li 011; Jie Zhao 009; Haifeng Li; Zilin Lin; Haoshen Li; Heyun Chen; Yiting Liu; Bin Dong 001; Li Zhang 047; Lei Tang (CoRR, 2024)

Latent assimilation with implicit neural representations for unknown dynamics. - Zhuoyuan Li 005; Bin Dong 001; Pingwen Zhang (J. Comput. Phys., 2024)

Solving the Boltzmann Equation with a Neural Sparse Representation. - Zhengyi Li; Yanli Wang; Hongsheng Liu 002; Zidong Wang 010; Bin Dong 001 (SIAM J. Sci. Comput., 2024)

A comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection in OFDM systems. - Haocheng Ju; Haimiao Zhang; Lin Li; Xiao Li; Bin Dong 001 (Signal Process., 2024)

Herald: A Natural Language Annotated Lean 4 Dataset. - Guoxiong Gao; Yutong Wang; Jiedong Jiang; Qi Gao; Zihan Qin; Tianyi Xu; Bin Dong 001 (ICLR, 2025)

State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics. - Zhuoyuan Li 005; Bin Dong 001; Pingwen Zhang (J. Comput. Phys., 2025)

AI-Driven Automated Tool for Abdominal CT Body Composition Analysis in Gastrointestinal Cancer Management. - Xinyu Nan; Meng He; Zifan Chen; Bin Dong 001; Lei Tang; Li Zhang 047 (CoRR, 2025)

PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations. - Zhanhong Ye; Zining Liu; Bingyang Wu; Hongjie Jiang; Leheng Chen; Minyan Zhang; Xiang Huang; Qinghe Meng; Jingyuan Zou; Hongsheng Liu 002; Bin Dong 001 (CoRR, 2025)