Zifeng Wang

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Northeastern University

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University of Illinois at Urbana-Champaign

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Tsinghua University

Featured Co-authors

Xi Chen
223 publications
Yanzhi Wang
105 publications
Yefeng Zheng
91 publications
Jimeng Sun
81 publications
Ningyu Zhang
51 publications
Xiuqiang He
40 publications
Stratis Ioannidis
31 publications
Jennifer Dy
25 publications
Yifan Yang
22 publications
Shao-Lun Huang
20 publications
Hong Zhu
13 publications

∙ 06/29/2022

Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision

Clinical trials are essential for drug development but are extremely exp...

Zifeng Wang, et al. ∙

∙ 05/19/2022

TransTab: Learning Transferable Tabular Transformers Across Tables

Tabular data (or tables) are the most widely used data format in machine...

Zifeng Wang, et al. ∙

∙ 01/12/2022

Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network

Beam selection for millimeter-wave links in a vehicular scenario is a ch...

Batool Salehi, et al. ∙

∙ 10/02/2021

SurvTRACE: Transformers for Survival Analysis with Competing Events

In medicine, survival analysis studies the time duration to events of in...

Zifeng Wang, et al. ∙

∙ 09/29/2021

PAC-Bayes Information Bottleneck

Information bottleneck (IB) depicts a trade-off between the accuracy and...

Zifeng Wang, et al. ∙

∙ 06/13/2021

Deep Bayesian Unsupervised Lifelong Learning

Lifelong Learning (LL) refers to the ability to continually learn and so...

Tingting Zhao, et al. ∙

∙ 06/04/2021

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness

We investigate the HSIC (Hilbert-Schmidt independence criterion) bottlen...

Zifeng Wang, et al. ∙

∙ 02/27/2021

Lifelong Learning based Disease Diagnosis on Clinical Notes

Current deep learning based disease diagnosis systems usually fall short...

Zifeng Wang, et al. ∙

∙ 12/13/2020

Open-World Class Discovery with Kernel Networks

We study an Open-World Class Discovery problem in which, given labeled t...

Zifeng Wang, et al. ∙

∙ 12/13/2020

Learn-Prune-Share for Lifelong Learning

In lifelong learning, we wish to maintain and update a model (e.g., a ne...

Zifeng Wang, et al. ∙

∙ 09/17/2020

Finding Influential Instances for Distantly Supervised Relation Extraction

Distant supervision has been demonstrated to be highly beneficial to enh...

Zifeng Wang, et al. ∙

∙ 09/06/2020

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks

We propose a Healthcare Graph Convolutional Network (HealGCN) to offer d...

Zifeng Wang, et al. ∙

∙ 09/06/2020

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

Counterfactual learning for dealing with missing-not-at-random data (MNA...

Zifeng Wang, et al. ∙

∙ 01/25/2020

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

Observed events in recommendation are consequence of the decisions made ...

Zifeng Wang, et al. ∙

∙ 12/03/2019

Less Is Better: Unweighted Data Subsampling via Influence Function

In the time of Big Data, training complex models on large-scale data set...

Zifeng Wang, et al. ∙

∙ 06/07/2019

Adaptive Nonparametric Variational Autoencoder

Clustering is used to find structure in unlabeled data by grouping simil...

Tingting Zhao, et al. ∙