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Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation


Sep 08, 2021
Geng-Xin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen


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Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis


Jul 15, 2021
Feng Shi, Chonghan Lee, Mohammad Khairul Bashar, Nikhil Shukla, Song-Chun Zhu, Vijaykrishnan Narayanan


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STAR: Sparse Transformer-based Action Recognition


Jul 15, 2021
Feng Shi, Chonghan Lee, Liang Qiu, Yizhou Zhao, Tianyi Shen, Shivran Muralidhar, Tian Han, Song-Chun Zhu, Vijaykrishnan Narayanan


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VersaGNN: a Versatile accelerator for Graph neural networks


May 04, 2021
Feng Shi, Ahren Yiqiao Jin, Song-Chun Zhu


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A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning


Feb 07, 2021
Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen

* To appear in Medical Image Analysis 

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Structured Attention for Unsupervised Dialogue Structure Induction


Oct 09, 2020
Liang Qiu, Yizhou Zhao, Weiyan Shi, Yuan Liang, Feng Shi, Tao Yuan, Zhou Yu, Song-Chun Zhu

* Long paper accepted by EMNLP 2020 

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Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images


May 24, 2020
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen


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Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia


May 20, 2020
Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen

* accepted by IEEE Transactions on Medical Imaging, 2020 

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Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan


May 07, 2020
Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen


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Hypergraph Learning for Identification of COVID-19 with CT Imaging


May 07, 2020
Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen


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Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT


May 07, 2020
Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen


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Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning


May 06, 2020
Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen


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MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning


Apr 20, 2020
Tong Wei, Feng Shi, Hai Wang, Wei-Wei Tu. Yu-Feng Li


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Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19


Apr 07, 2020
Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen

* Added journal submission info 

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Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images


Mar 26, 2020
Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen


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Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification


Mar 22, 2020
Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen


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MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better


Mar 06, 2020
Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou, Feng Shi, Yibin Xie, Debiao Li

* Preprint submitted to Medical Image Analysis 

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Runtime Performances of Randomized Search Heuristics for the Dynamic Weighted Vertex Cover Problem


Jan 24, 2020
Feng Shi, Frank Neumann, Jianxin Wang

* 27 pages, 6 figures 

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Science and Technology Advance through Surprise


Oct 18, 2019
Feng Shi, James Evans

* 9 pages, 4 figures 

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HUGE2: a Highly Untangled Generative-model Engine for Edge-computing


Jul 25, 2019
Feng Shi, Ziheng Xu, Tao Yuan, Song-Chun Zhu


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Infer Implicit Contexts in Real-time Online-to-Offline Recommendation


Jul 08, 2019
Xichen Ding, Jie Tang, Tracy Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen

* 9 pages,KDD,KDD2019 

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Explanatory Graphs for CNNs


Dec 18, 2018
Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu

* arXiv admin note: substantial text overlap with arXiv:1708.01785 

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Sparse Winograd Convolutional neural networks on small-scale systolic arrays


Oct 03, 2018
Feng Shi, Haochen Li, Yuhe Gao, Benjamin Kuschner, Song-Chun Zhu

* submitted to FPGA 2019 

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Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network


Jun 09, 2018
Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Zhengwei Zhou, Yibin Xie, Debiao Li

* 10 pages, 2 figures, 2 tables. MICCAI 2018 

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Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network


Feb 20, 2018
Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie

* Accepted by ISBI 2018 

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Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks


Jan 08, 2018
Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li

* Accepted by ISBI'18 

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