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Feature Space Singularity for Out-of-Distribution Detection

Dec 16, 2020
Haiwen Huang, Zhihan Li, Lulu Wang, Sishuo Chen, Bin Dong, Xinyu Zhou

* 10 pages, 7 figures 

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Deep Interactive Denoiser (DID) for X-Ray Computed Tomography

Dec 06, 2020
Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve Jiang

* under review 

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Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks

Sep 03, 2020
Qi Sun, Hexing Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong

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Transferred Discrepancy: Quantifying the Difference Between Representations

Jul 24, 2020
Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong

* 23 pages, 3 figures 

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Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging

Jun 16, 2020
Ziju Shen, Yufei Wang, Dufan Wu, Xu Yang, Bin Dong

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Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling

Jun 08, 2020
Chizhou Liu, Yunzhen Feng, Ranran Wang, Bin Dong

* 22 pages, 8 figures 

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RODE-Net: Learning Ordinary Differential Equations with Randomness from Data

Jun 03, 2020
Junyu Liu, Zichao Long, Ranran Wang, Jie Sun, Bin Dong

* 11 pages, 6 figures, 3 tables 

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MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction

May 30, 2020
Haimiao Zhang, Baodong Liu, Hengyong Yu, Bin Dong

* 10 pages 

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Blind Adversarial Training: Balance Accuracy and Robustness

Apr 10, 2020
Haidong Xie, Xueshuang Xiang, Naijin Liu, Bin Dong

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Distillation $\approx$ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network

Oct 02, 2019
Bin Dong, Jikai Hou, Yiping Lu, Zhihua Zhang

* Accepted by NeurIPS 2019 Workshop on Machine Learning with Guarantees. Submitted to other places 

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Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images

Jul 26, 2019
Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang

* Accepted at MICCAI 2019 

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A Review on Deep Learning in Medical Image Reconstruction

Jun 23, 2019
Haimiao Zhang, Bin Dong

* 31 pages, 6 figures. Survey paper 

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Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning

Jun 11, 2019
Yufei Wang, Ziju Shen, Zichao Long, Bin Dong

* submitted to NeurIPS 2019 

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Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View

Jun 06, 2019
Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu

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NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds

May 29, 2019
Pengfei Jin, Tianhao Lai, Rongjie Lai, Bin Dong

* 10 pages, 4 figures 

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You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

May 23, 2019
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong

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CURE: Curvature Regularization For Missing Data Recovery

Jan 28, 2019
Bin Dong, Haocheng Ju, Yiping Lu, Zuoqiang Shi

* 16 pages, 7 figures, 3 tables 

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JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete data

Dec 03, 2018
Haimiao Zhang, Bin Dong, Baodong Liu

* 4 pages 

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PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network

Nov 30, 2018
Zichao Long, Yiping Lu, Bin Dong

* 16 pages, 15 figures. arXiv admin note: substantial text overlap with arXiv:1710.09668 

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Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration

Oct 10, 2018
Xiaoshuai Zhang, Yiping Lu, Jiaying Liu, Bin Dong

* The first two authors contributed equally 

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End-to-end Lung Nodule Detection in Computed Tomography

Oct 02, 2018
Dufan Wu, Kyungsang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li

* published at MLMI 2018 

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Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal

May 31, 2018
Chenglong Bao, Jae Kyu Choi, Bin Dong

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Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds

May 21, 2018
Stefan C. Schonsheck, Bin Dong, Rongjie Lai

* 10 pages 

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Nostalgic Adam: Weighing more of the past gradients when designing the adaptive learning rate

May 19, 2018
Haiwen Huang, Chang Wang, Bin Dong

* 12 pages and 3 figures 

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