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Out-of-Distribution Representation Learning for Time Series Classification


Sep 26, 2022
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie

* Technical report; 20 pages 

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Generalized Representations Learning for Time Series Classification


Sep 15, 2022
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie

* Technical report; 18 pages 

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Domain Invariant Model with Graph Convolutional Network for Mammogram Classification


Apr 21, 2022
Churan Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang


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Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels


Mar 19, 2022
Yikai Wang, Xinwei Sun, Yanwei Fu

* To appear in CVPR2022. Code and pretrained models will be released after going through necessary procedures 

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Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition


Oct 08, 2021
Mingzhou Liu, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang

* 13 pages, currently under review 

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Causally Invariant Predictor with Shift-Robustness


Jul 05, 2021
Xiangyu Zheng, Xinwei Sun, Wei Chen, Tie-Yan Liu


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Causal Hidden Markov Model for Time Series Disease Forecasting


Mar 30, 2021
Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang


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Disease Forecast via Progression Learning


Dec 21, 2020
Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang


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Identifying Invariant Texture Violation for Robust Deepfake Detection


Dec 19, 2020
Xinwei Sun, Botong Wu, Wei Chen


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Latent Causal Invariant Model


Nov 04, 2020
Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-yan Liu


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