Bin Dong

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 47

Top Topics

Partial Differential Equations

Top Venues

SIAM J. Imaging Sci.

Publications

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 (2024)
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) (2024)
Guoxiong Gao, Haocheng Ju, Jiedong Jiang, Zihan Qin, Bin Dong
A Semantic Search Engine for Mathlib4. CoRR (2024)
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 (2024)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li
Diffusion Model for Generative Image Denoising. CoRR (2023)
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)
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)
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)
Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li
Unsupervised Image Denoising with Score Function. CoRR (2023)
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 (2023)
Mo Zhang, Bin Dong, Quanzheng Li
Ms-Gwnn: Multi-Scale Graph Wavelet Neural Network for Breast Cancer Diagnosis. ISBI (2022)
Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi
A scalable deep learning approach for solving high-dimensional dynamic optimal transport. CoRR (2022)
Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. CoRR (2022)
Mo Zhang, Bin Dong, Quanzheng Li
Joint Attention for Medical Image Segmentation. ISBI (2022)
Bin Dong, Haocheng Ju, Yiping Lu, Zuoqiang Shi
CURE: Curvature Regularization for Missing Data Recovery. SIAM J. Imaging Sci. 13 (4) (2020)
Chizhou Liu, Yunzhen Feng, Ranran Wang, Bin Dong
Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling. CoRR (2020)
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 (2020)
Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong
Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR (2020)
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) (2019)
Yufei Wang, Ziju Shen, Zichao Long, Bin Dong
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning. CoRR (2019)
Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap
space super-resolution with application to infant diffusion MRI. Medical Image Anal. 57 (2019)
Bin Dong, Haocheng Ju, Yiping Lu, Zuoqiang Shi
CURE: Curvature Regularization For Missing Data Recovery. CoRR (2019)
Chenglong Bao, Jae Kyu Choi, Bin Dong
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. SIAM J. Imaging Sci. 12 (1) (2019)
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)
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle. NeurIPS (2019)
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)
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 (2019)
Xiaoshuai Zhang, Yiping Lu, Jiaying Liu, Bin Dong
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration. ICLR (Poster) (2019)
Bin Dong, Jikai Hou, Yiping Lu, Zhihua Zhang
Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network. CoRR (2019)
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle. CoRR (2019)
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 (2018)
Zichao Long, Yiping Lu, Xianzhong Ma, Bin Dong
PDE-Net: Learning PDEs from Data. ICLR (Workshop) (2018)
Zichao Long, Yiping Lu, Bin Dong
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network. CoRR (2018)
Zichao Long, Yiping Lu, Xianzhong Ma, Bin Dong
PDE-Net: Learning PDEs from Data. ICML (2018)
Xiaoshuai Zhang, Yiping Lu, Jiaying Liu, Bin Dong
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration. CoRR (2018)
Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICLR (Workshop) (2018)
Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICML (2018)
Chenglong Bao, Jae Kyu Choi, Bin Dong
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. CoRR (2018)
Zichao Long, Yiping Lu, Xianzhong Ma, Bin Dong
PDE-Net: Learning PDEs from Data. CoRR (2017)
Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap
q-Space Upsampling Using x-q Space Regularization. MICCAI (1) (2017)
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)
Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. CoRR (2017)
Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen
Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation. MICCAI (3) (2016)