Wei Tang

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Xi'an Jiaotong University

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University of Wisconsin-Madison

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University of Illinois at Chicago

Featured Co-authors

Yang Liu
344 publications
Philip S. Yu
218 publications
Jie Chen
138 publications
Meng Wang
137 publications
Fan Yang
130 publications
Jiawei Zhang
100 publications
Xiangnan He
90 publications
Xiang Wang
69 publications
Nanning Zheng
67 publications
Qixiang Ye
59 publications
Meng Li
58 publications

∙ 12/20/2021

Translational Concept Embedding for Generalized Compositional Zero-shot Learning

Generalized compositional zero-shot learning means to learn composed con...

He Huang, et al. ∙

∙ 08/05/2021

Time-aware Path Reasoning on Knowledge Graph for Recommendation

Reasoning on knowledge graph (KG) has been studied for explainable recom...

Yuyue Zhao, et al. ∙

∙ 07/31/2021

Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction

Understanding complex social interactions among agents is a key challeng...

Fang Zheng, et al. ∙

∙ 07/27/2021

Enriching Local and Global Contexts for Temporal Action Localization

Effectively tackling the problem of temporal action localization (TAL) n...

Zixin Zhu, et al. ∙

∙ 03/30/2021

Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context

Weakly-supervised Temporal Action Localization (WS-TAL) methods learn to...

Ziyi Liu, et al. ∙

∙ 03/28/2021

ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization

The object of Weakly-supervised Temporal Action Localization (WS-TAL) is...

Ziyi Liu, et al. ∙

∙ 03/05/2021

Competitive Information Disclosure with Multiple Receivers

This paper analyzes a model of competition in Bayesian persuasion in whi...

Bolin Ding, et al. ∙

∙ 11/22/2020

BigBen: Telemetry Processing for Internet-wide Event Monitoring

This paper describes BigBen, a network telemetry processing system desig...

Meenakshi Syamkumar, et al. ∙

∙ 11/09/2020

Two-Stream Appearance Transfer Network for Person Image Generation

Pose guided person image generation means to generate a photo-realistic ...

Chengkang Shen, et al. ∙

∙ 10/22/2020

Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization

Weakly-supervised Temporal Action Localization (W-TAL) aims to classify ...

Yuanhao Zhai, et al. ∙

∙ 09/28/2020

Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score

Scene graph parsing aims to detect objects in an image scene and recogni...

He Huang, et al. ∙

∙ 09/16/2020

The 1st Tiny Object Detection Challenge:Methods and Results

The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...

Xuehui Yu, et al. ∙

∙ 07/30/2020

Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge

Multi-label zero-shot classification aims to predict multiple unseen cla...

He Huang, et al. ∙

∙ 04/15/2020

Combining Visible Light and Infrared Imaging for Efficient Detection of Respiratory Infections such as COVID-19 on Portable Device

Coronavirus Disease 2019 (COVID-19) has become a serious global epidemic...

Zheng Jiang, et al. ∙

∙ 02/24/2020

Fair Bandit Learning with Delayed Impact of Actions

Algorithmic fairness has been studied mostly in a static setting where t...

Wei Tang, et al. ∙

∙ 09/05/2019

Scalable Double Regularization for 3D Nano-CT Reconstruction

Nano-CT (computerized tomography) has emerged as a non-destructive high-...

Wei Tang, et al. ∙

∙ 11/27/2018

A Compositional Textual Model for Recognition of Imperfect Word Images

Printed text recognition is an important problem for industrial OCR syst...

Wei Tang, et al. ∙

∙ 10/19/2018

MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation

To synthesize high quality person images with arbitrary poses is challen...

Wei Tang, et al. ∙

∙ 12/21/2017

ReabsNet: Detecting and Revising Adversarial Examples

Though deep neural network has hit a huge success in recent studies and ...

Jiefeng Chen, et al. ∙

∙ 12/15/2017

Study on a Poisson's Equation Solver Based On Deep Learning Technique

In this work, we investigated the feasibility of applying deep learning ...

Tao Shan, et al. ∙