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Lifelong Learning based Disease Diagnosis on Clinical Notes


Mar 05, 2021
Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng

* Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'21) 

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Open-World Class Discovery with Kernel Networks


Dec 13, 2020
Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik Chowdhury, Stratis Ioannidis, Jennifer Dy

* Accepted to the IEEE International Conference on Data Mining 2020 (ICDM'20); Best paper candidate 

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Learn-Prune-Share for Lifelong Learning


Dec 13, 2020
Zifeng Wang, Tong Jian, Kaushik Chowdhury, Yanzhi Wang, Jennifer Dy, Stratis Ioannidis

* Accepted to the IEEE International Conference on Data Mining 2020 (ICDM'20) 

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Finding Influential Instances for Distantly Supervised Relation Extraction


Sep 17, 2020
Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng


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Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks


Sep 06, 2020
Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng


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Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback


Sep 06, 2020
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng


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On the Fairness of Randomized Trials for Recommendation with Heterogeneous Demographics and Beyond


Feb 05, 2020
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang


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On the Fairness of Randomized Trials for Recommendation With Heterogeneous Demographics and Beyond


Jan 25, 2020
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang


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Less Is Better: Unweighted Data Subsampling via Influence Function


Dec 03, 2019
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang


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Adaptive Nonparametric Variational Autoencoder


Jun 07, 2019
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy


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