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Ying Wei

Senior Member, IEEE

Frustratingly Easy Transferability Estimation


Jun 17, 2021
Long-Kai Huang, Ying Wei, Yu Rong, Qiang Yang, Junzhou Huang


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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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Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning


Jul 26, 2020
Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li


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Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge


Jul 11, 2020
Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang


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Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis


Jul 05, 2020
Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan

* IEEE Transactions on Image Processing 

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GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data


Jun 18, 2020
Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang

* 17 pages, 6 figures 

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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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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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COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19


Apr 30, 2020
Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan


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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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Fisher Deep Domain Adaptation


Mar 12, 2020
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang


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Infant brain MRI segmentation with dilated convolution pyramid downsampling and self-attention


Dec 29, 2019
Zhihao Lei, Lin Qi, Ying Wei, Yunlong Zhou, Yunzhou Zhang

* 5 pages,5 figures.Submitted to ICASSP 2020 and we have signed an e-copyright agreement with the IEEE.Artical under review 

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Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning


Oct 31, 2019
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang


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Graph Few-shot Learning via Knowledge Transfer


Oct 07, 2019
Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li

* Accepted by NeurIPS 2019 GRL workshop 

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Transferable Neural Processes for Hyperparameter Optimization


Sep 10, 2019
Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang

* 11 pages, 12 figures 

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Hierarchically Structured Meta-learning


May 13, 2019
Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li

* Accepted by ICML 2019 

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Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction


Jan 24, 2019
Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li

* Accepted by WWW 2019 

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Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification


Nov 16, 2018
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, Qiang Yang


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Learning to Multitask


May 19, 2018
Yu Zhang, Ying Wei, Qiang Yang


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Learning to Transfer


Aug 18, 2017
Ying Wei, Yu Zhang, Qiang Yang

* 12 pages, 8 figures, conference 

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