Zifeng Wang

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Northeastern University ∙ Tsinghua University

Featured Co-authors

Xi Chen
178 publications
Yanzhi Wang
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Stratis Ioannidis
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Ningyu Zhang
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Xiuqiang He
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Jennifer Dy
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Shao-Lun Huang
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Yifan Yang
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Hong Zhu
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Rui Wen
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Deep Bayesian Unsupervised Lifelong Learning

Lifelong Learning (LL) refers to the ability to continually learn and so...
06/13/2021 ∙ by Tingting Zhao, et al. ∙ 0 ∙ share

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Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness

We investigate the HSIC (Hilbert-Schmidt independence criterion) bottlen...
06/04/2021 ∙ by Zifeng Wang, et al. ∙ 0 ∙ share

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Lifelong Learning based Disease Diagnosis on Clinical Notes

Current deep learning based disease diagnosis systems usually fall short...
02/27/2021 ∙ by Zifeng Wang, et al. ∙ 0 ∙ share

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Open-World Class Discovery with Kernel Networks

We study an Open-World Class Discovery problem in which, given labeled t...
12/13/2020 ∙ by Zifeng Wang, et al. ∙ 0 ∙ share

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Learn-Prune-Share for Lifelong Learning

In lifelong learning, we wish to maintain and update a model (e.g., a ne...
12/13/2020 ∙ by Zifeng Wang, et al. ∙ 0 ∙ share

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Finding Influential Instances for Distantly Supervised Relation Extraction

Distant supervision has been demonstrated to be highly beneficial to enh...
09/17/2020 ∙ by Zifeng Wang, et al. ∙ 11 ∙ share

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Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks

We propose a Healthcare Graph Convolutional Network (HealGCN) to offer d...
09/06/2020 ∙ by Zifeng Wang, et al. ∙ 17 ∙ share

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

Counterfactual learning for dealing with missing-not-at-random data (MNA...
09/06/2020 ∙ by Zifeng Wang, et al. ∙ 4 ∙ share

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

Observed events in recommendation are consequence of the decisions made ...
01/25/2020 ∙ by Zifeng Wang, et al. ∙ 1 ∙ share

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Less Is Better: Unweighted Data Subsampling via Influence Function

In the time of Big Data, training complex models on large-scale data set...
12/03/2019 ∙ by Zifeng Wang, et al. ∙ 20 ∙ share

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Adaptive Nonparametric Variational Autoencoder

Clustering is used to find structure in unlabeled data by grouping simil...
06/07/2019 ∙ by Tingting Zhao, et al. ∙ 0 ∙ share

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