Zifeng Wang | DeepAI

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Featured Co-authors

Xi Chen
293 publications
Yanzhi Wang
123 publications
Yefeng Zheng
117 publications
Jimeng Sun
99 publications
Ningyu Zhang
74 publications
Cao Xiao
59 publications
Yifan Gong
59 publications
Zhiyong Lu
57 publications
Xiuqiang He
46 publications
Stratis Ioannidis
40 publications
Yifan Yang
39 publications

∙ 08/17/2023

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

LLMs usually exhibit limitations in their ability to incorporate new kno...

1 Yilin Wen, et al. ∙

∙ 07/27/2023

Matching Patients to Clinical Trials with Large Language Models

Clinical trials are vital in advancing drug development and evidence-bas...

0 Qiao Jin, et al. ∙

∙ 06/06/2023

PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development

Drug development is a complex process that aims to test the efficacy and...

0 Zifeng Wang, et al. ∙

∙ 05/20/2023

AnyPredict: Foundation Model for Tabular Prediction

Foundation models are pre-trained on massive data to perform well across...

0 Zifeng Wang, et al. ∙

∙ 05/19/2023

AutoTrial: Prompting Language Models for Clinical Trial Design

Clinical trials are critical for drug development. Constructing the appr...

0 Zifeng Wang, et al. ∙

∙ 04/30/2023

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning

Rehearsal-based approaches are a mainstay of continual learning (CL). Th...

0 Zifeng Wang, et al. ∙

∙ 04/07/2023

SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning

Clinical trials are essential to drug development but time-consuming, co...

0 Zifeng Wang, et al. ∙

∙ 01/30/2023

Robust Meta Learning for Image based tasks

A machine learning model that generalizes well should obtain low errors ...

0 Penghao Jiang, et al. ∙

∙ 01/26/2023

Invariant Meta Learning for Out-of-Distribution Generalization

Modern deep learning techniques have illustrated their excellent capabil...

0 Penghao Jiang, et al. ∙

∙ 10/18/2022

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Existing vision-text contrastive learning like CLIP aims to match the pa...

26 Zifeng Wang, et al. ∙

∙ 10/09/2022

Pruning Adversarially Robust Neural Networks without Adversarial Examples

Adversarial pruning compresses models while preserving robustness. Curre...

17 Tong Jian, et al. ∙

∙ 09/16/2022

Artificial Intelligence for In Silico Clinical Trials: A Review

A clinical trial is an essential step in drug development, which is ofte...

35 Zifeng Wang, et al. ∙

∙ 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...

0 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...

0 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...

111 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...

0 Zifeng Wang, et al. ∙

∙ 09/29/2021

PAC-Bayes Information Bottleneck

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

0 Zifeng Wang, et al. ∙

∙ 06/13/2021

Deep Bayesian Unsupervised Lifelong Learning

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

0 Tingting Zhao, et al. ∙

∙ 06/04/2021

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness

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

0 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...

0 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...

0 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...

0 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...

11 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...

17 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...

4 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 ...

1 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...

20 Zifeng Wang, et al. ∙

∙ 06/07/2019

Adaptive Nonparametric Variational Autoencoder

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

0 Tingting Zhao, et al. ∙

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