Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Tao Chen

Tao Chen

An End-to-End Differentiable Framework for Contact-Aware Robot Design


Jul 15, 2021
Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, Pulkit Agrawal

Figure 1 for An End-to-End Differentiable Framework for Contact-Aware Robot Design
Figure 2 for An End-to-End Differentiable Framework for Contact-Aware Robot Design
Figure 3 for An End-to-End Differentiable Framework for Contact-Aware Robot Design
Figure 4 for An End-to-End Differentiable Framework for Contact-Aware Robot Design
* Robotics: Science and Systems 
  Access Paper or Ask Questions

CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction


Jun 21, 2021
Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang

Figure 1 for CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
Figure 2 for CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
Figure 3 for CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
Figure 4 for CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
* Accepted by ACL 2021 
  Access Paper or Ask Questions

Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training


Jun 21, 2021
Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang

Figure 1 for Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
Figure 2 for Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
Figure 3 for Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
Figure 4 for Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
* Accepted by AAAI 2021 
  Access Paper or Ask Questions

Dynamic Language Models for Continuously Evolving Content


Jun 11, 2021
Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork

Figure 1 for Dynamic Language Models for Continuously Evolving Content
Figure 2 for Dynamic Language Models for Continuously Evolving Content
Figure 3 for Dynamic Language Models for Continuously Evolving Content
Figure 4 for Dynamic Language Models for Continuously Evolving Content
* KDD 2021 
  Access Paper or Ask Questions

UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction


Jun 09, 2021
Huanqin Wu, Wei Liu, Lei Li, Dan Nie, Tao Chen, Feng Zhang, Di Wang

Figure 1 for UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction
Figure 2 for UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction
Figure 3 for UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction
Figure 4 for UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction
* 11pages, 6 figures, 6 tables, to be published in ACL 2021 findings 
  Access Paper or Ask Questions

Multi-Objectivizing Software Configuration Tuning (for a single performance concern)


May 31, 2021
Tao Chen, Miqing Li

Figure 1 for Multi-Objectivizing Software Configuration Tuning (for a single performance concern)
Figure 2 for Multi-Objectivizing Software Configuration Tuning (for a single performance concern)
Figure 3 for Multi-Objectivizing Software Configuration Tuning (for a single performance concern)
Figure 4 for Multi-Objectivizing Software Configuration Tuning (for a single performance concern)
* 13 pages, 7 figures, 4 tables. In Proceedings of the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE'21), 2021 
  Access Paper or Ask Questions

Gradient Descent in Materio


May 15, 2021
Marcus N. Boon, Hans-Christian Ruiz Euler, Tao Chen, Bram van de Ven, Unai Alegre Ibarra, Peter A. Bobbert, Wilfred G. van der Wiel

Figure 1 for Gradient Descent in Materio
Figure 2 for Gradient Descent in Materio
Figure 3 for Gradient Descent in Materio
Figure 4 for Gradient Descent in Materio

  Access Paper or Ask Questions

LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding


Apr 16, 2021
Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky

Figure 1 for LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding
Figure 2 for LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding
Figure 3 for LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding
Figure 4 for LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding

  Access Paper or Ask Questions

Residual Model Learning for Microrobot Control


Apr 01, 2021
Joshua Gruenstein, Tao Chen, Neel Doshi, Pulkit Agrawal

Figure 1 for Residual Model Learning for Microrobot Control
Figure 2 for Residual Model Learning for Microrobot Control
Figure 3 for Residual Model Learning for Microrobot Control
Figure 4 for Residual Model Learning for Microrobot Control

  Access Paper or Ask Questions

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation


Mar 26, 2021
Yazhou Yao, Tao Chen, Guosen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang

Figure 1 for Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
Figure 2 for Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
Figure 3 for Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
Figure 4 for Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
* accepted by IEEE Conference on Computer Vision and Pattern Recognition, 2021 
  Access Paper or Ask Questions

EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation


Mar 16, 2021
Qihang Yang, Tao Chen, Jiayuan Fan, Ye Lu, Chongyan Zuo, Qinghua Chi

Figure 1 for EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation
Figure 2 for EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation
Figure 3 for EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation
Figure 4 for EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation

  Access Paper or Ask Questions

Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation


Feb 22, 2021
Tao Chen, Guosen Xie, Yazhou Yao, Qiong Wang, Fumin Shen, Zhenmin Tang, Jian Zhang

Figure 1 for Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
Figure 2 for Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
Figure 3 for Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
Figure 4 for Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
* IEEE Transactions on Multimedia, 2021 
  Access Paper or Ask Questions

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis


Dec 31, 2020
Haisong Zhang, Lemao Liu, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Jianchen Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi

Figure 1 for TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
Figure 2 for TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
Figure 3 for TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
Figure 4 for TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

  Access Paper or Ask Questions

M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging


Oct 07, 2020
Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, Xiangyang Xue

Figure 1 for M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
Figure 2 for M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
Figure 3 for M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
Figure 4 for M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
* IEEE Journal of Biomedical and Health Informatics (JBHI), 2020 
  Access Paper or Ask Questions

PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection


Sep 01, 2020
Jingchen Sun, Jiming Chen, Tao Chen, Jiayuan Fan, Shibo He

Figure 1 for PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection
Figure 2 for PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection
Figure 3 for PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection
Figure 4 for PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection
* Proceedings of the 28th ACM International Conference on Multimedia (MM '20), October 12--16, 2020, Seattle, WA, USA 
  Access Paper or Ask Questions

Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems


Jul 15, 2020
Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji

Figure 1 for Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems
Figure 2 for Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems
Figure 3 for Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems
Figure 4 for Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems

  Access Paper or Ask Questions

Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression


Jun 30, 2020
Feng Zhou, Tao Chen, Baiying Lei

Figure 1 for Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression
Figure 2 for Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression

  Access Paper or Ask Questions

Context-Based Quotation Recommendation


May 17, 2020
Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth

Figure 1 for Context-Based Quotation Recommendation
Figure 2 for Context-Based Quotation Recommendation
Figure 3 for Context-Based Quotation Recommendation
Figure 4 for Context-Based Quotation Recommendation
* 11 pages, 2 figures 
  Access Paper or Ask Questions

MGGR: MultiModal-Guided Gaze Redirection with Coarse-to-Fine Learning


Apr 13, 2020
Jingjing Chen, Jichao Zhang, Jiayuan Fan, Tao Chen, Enver Sangineto, Nicu Sebe

Figure 1 for MGGR: MultiModal-Guided Gaze Redirection with Coarse-to-Fine Learning
Figure 2 for MGGR: MultiModal-Guided Gaze Redirection with Coarse-to-Fine Learning
Figure 3 for MGGR: MultiModal-Guided Gaze Redirection with Coarse-to-Fine Learning
Figure 4 for MGGR: MultiModal-Guided Gaze Redirection with Coarse-to-Fine Learning

  Access Paper or Ask Questions

Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses


Mar 25, 2020
Rongliang Wu, Gongjie Zhang, Shijian Lu, Tao Chen

Figure 1 for Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses
Figure 2 for Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses
Figure 3 for Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses
Figure 4 for Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses
* Accepted to CVPR 2020 
  Access Paper or Ask Questions

How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance


Feb 27, 2020
Miqing Li, Tao Chen, Xin Yao

Figure 1 for How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance
Figure 2 for How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance
Figure 3 for How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance
Figure 4 for How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance
* submitted, 7 figures and 5 tables 
  Access Paper or Ask Questions

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study


Feb 08, 2020
Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan

Figure 1 for Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study
Figure 2 for Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study
Figure 3 for Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study
Figure 4 for Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study

  Access Paper or Ask Questions

Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities


Jan 22, 2020
Tao Chen, Miqing Li, Ke Li, Kalyanmoy Deb

Figure 1 for Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities
Figure 2 for Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities
Figure 3 for Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities
Figure 4 for Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities
* submitted; 21 pages, 6 tables and 17 figures 
  Access Paper or Ask Questions

Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline


Jan 20, 2020
Tao Chen, Rami Bahsoon, Xin Yao

Figure 1 for Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline
Figure 2 for Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline
Figure 3 for Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline
Figure 4 for Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline
* submitted; 31 pages, 10 tables and 29 figures 
  Access Paper or Ask Questions

Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition


Jan 17, 2020
Wenxuan Wang, Yanwei Fu, Qiang Sun, Tao Chen, Chenjie Cao, Ziqi Zheng, Guoqiang Xu, Han Qiu, Yu-Gang Jiang, Xiangyang Xue

Figure 1 for Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
Figure 2 for Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
Figure 3 for Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
Figure 4 for Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
* 17 pages, 18 figures 
  Access Paper or Ask Questions

A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification


Oct 25, 2019
Jie He, Tao Chen, Zhijun Zhang

Figure 1 for A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification
Figure 2 for A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification
Figure 3 for A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification
Figure 4 for A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification

  Access Paper or Ask Questions

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases


Sep 11, 2019
Tao Yu, Rui Zhang, He Yang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S Lasecki, Dragomir Radev

Figure 1 for CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
Figure 2 for CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
Figure 3 for CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
Figure 4 for CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
* Accepted to EMNLP 2019, long paper 
  Access Paper or Ask Questions