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Fei Wang

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SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records

Oct 11, 2021
Chengxi Zang, Fei Wang

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Weakly Supervised Contrastive Learning

Oct 10, 2021
Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

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Correcting the User Feedback-Loop Bias for Recommendation Systems

Sep 13, 2021
Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang

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Table-based Fact Verification with Salience-aware Learning

Sep 09, 2021
Fei Wang, Kexuan Sun, Jay Pujara, Pedro Szekely, Muhao Chen

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Heterogeneous Graph Neural Network with Multi-view Representation Learning

Aug 31, 2021
Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu

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Learning to Collaborate

Aug 19, 2021
Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang

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Fair and Consistent Federated Learning

Aug 19, 2021
Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang

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Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection

Aug 15, 2021
Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang

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Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition

Aug 11, 2021
Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang

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ReSSL: Relational Self-Supervised Learning with Weak Augmentation

Jul 23, 2021
Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

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