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 Rui Zhang

Rui Zhang

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization


Oct 15, 2021
Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed H. Awadallah, Dragomir Radev

Figure 1 for DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
Figure 2 for DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
Figure 3 for DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
Figure 4 for DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization

  Access Paper or Ask Questions

A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications


Oct 04, 2021
Beixiong Zheng, Changsheng You, Weidong Mei, Rui Zhang

Figure 1 for A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications
Figure 2 for A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications
Figure 3 for A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications
Figure 4 for A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications
* 68 pages, 10 figures, 10 tables In this paper, we provide a comprehensive survey on the up-to-date research in IRS-aided wireless communications, with an emphasis on the promising solutions to tackle practical design issues 
  Access Paper or Ask Questions

Multi View Spatial-Temporal Model for Travel Time Estimation


Sep 30, 2021
ZiChuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang

Figure 1 for Multi View Spatial-Temporal Model for Travel Time Estimation
Figure 2 for Multi View Spatial-Temporal Model for Travel Time Estimation
Figure 3 for Multi View Spatial-Temporal Model for Travel Time Estimation
* 4 pages, 2 figures 
  Access Paper or Ask Questions

Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions


Sep 30, 2021
Naihao Deng, Shuaichen Chang, Peng Shi, Tao Yu, Rui Zhang

Figure 1 for Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions
Figure 2 for Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions
Figure 3 for Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions
Figure 4 for Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions
* 17 pages, 12 figures, 9 tables 
  Access Paper or Ask Questions

Intelligent Reflecting Surface Aided Wireless Networks: From Single-Reflection to Multi-Reflection Design and Optimization


Sep 28, 2021
Weidong Mei, Beixiong Zheng, Changsheng You, Rui Zhang

Figure 1 for Intelligent Reflecting Surface Aided Wireless Networks: From Single-Reflection to Multi-Reflection Design and Optimization
Figure 2 for Intelligent Reflecting Surface Aided Wireless Networks: From Single-Reflection to Multi-Reflection Design and Optimization
Figure 3 for Intelligent Reflecting Surface Aided Wireless Networks: From Single-Reflection to Multi-Reflection Design and Optimization
Figure 4 for Intelligent Reflecting Surface Aided Wireless Networks: From Single-Reflection to Multi-Reflection Design and Optimization
* 18 pages, 13 figures 
  Access Paper or Ask Questions

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation


Sep 27, 2021
Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee

Figure 1 for TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
Figure 2 for TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
Figure 3 for TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
Figure 4 for TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
* Accepted to Findings of EMNLP 2021 
  Access Paper or Ask Questions

CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning


Sep 15, 2021
Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang

Figure 1 for CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
Figure 2 for CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
Figure 3 for CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
Figure 4 for CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
* 10 pages, 6 tables, 2 figures 
  Access Paper or Ask Questions

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next


Sep 10, 2021
Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir Radev

Figure 1 for An Exploratory Study on Long Dialogue Summarization: What Works and What's Next
Figure 2 for An Exploratory Study on Long Dialogue Summarization: What Works and What's Next
Figure 3 for An Exploratory Study on Long Dialogue Summarization: What Works and What's Next
Figure 4 for An Exploratory Study on Long Dialogue Summarization: What Works and What's Next
* Findings of EMNLP 2021 
  Access Paper or Ask Questions

EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation


Sep 10, 2021
Yanjun Gao, Lulu Liu, Jason Wang, Xin Chen, Huayan Wang, Rui Zhang

Figure 1 for EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation
Figure 2 for EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation
Figure 3 for EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation
Figure 4 for EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation
* Accepted by Visually Grounded Interaction and Language (ViGIL) Workshop at NAACL 2021 
  Access Paper or Ask Questions

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms


Sep 04, 2021
Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen

Figure 1 for Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms
Figure 2 for Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms
Figure 3 for Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms
Figure 4 for Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms
* 19 pages,16 figures 
  Access Paper or Ask Questions

Cross-Lingual Training with Dense Retrieval for Document Retrieval


Sep 03, 2021
Peng Shi, Rui Zhang, He Bai, Jimmy Lin

Figure 1 for Cross-Lingual Training with Dense Retrieval for Document Retrieval
Figure 2 for Cross-Lingual Training with Dense Retrieval for Document Retrieval

  Access Paper or Ask Questions

CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records


Aug 25, 2021
Sicheng Zhou, Liwei Wang, Nan Wang, Hongfang Liu, Rui Zhang

Figure 1 for CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records
Figure 2 for CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records
Figure 3 for CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records
Figure 4 for CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records

  Access Paper or Ask Questions

"Adversarial Examples" for Proof-of-Learning


Aug 25, 2021
Rui Zhang, Jian Liu, Yuan Ding, Qingbiao Wu, Kui Ren

Figure 1 for "Adversarial Examples" for Proof-of-Learning
Figure 2 for "Adversarial Examples" for Proof-of-Learning
Figure 3 for "Adversarial Examples" for Proof-of-Learning
Figure 4 for "Adversarial Examples" for Proof-of-Learning

  Access Paper or Ask Questions

Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction


Aug 21, 2021
Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu

Figure 1 for Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
Figure 2 for Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
Figure 3 for Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
Figure 4 for Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
* Submitted to ICDE 2022 
  Access Paper or Ask Questions

Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment


Aug 05, 2021
Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen

Figure 1 for Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
Figure 2 for Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
Figure 3 for Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
Figure 4 for Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
* Accepted by IJCAI2021 
  Access Paper or Ask Questions

Logic-Consistency Text Generation from Semantic Parses


Aug 02, 2021
Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu, Rui Zhang

Figure 1 for Logic-Consistency Text Generation from Semantic Parses
Figure 2 for Logic-Consistency Text Generation from Semantic Parses
Figure 3 for Logic-Consistency Text Generation from Semantic Parses
Figure 4 for Logic-Consistency Text Generation from Semantic Parses
* ACL Findings, 2021 
  Access Paper or Ask Questions

Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark


Jul 20, 2021
Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou

Figure 1 for Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark
Figure 2 for Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark
Figure 3 for Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark
Figure 4 for Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark

  Access Paper or Ask Questions

Improving Model Robustness with Latent Distribution Locally and Globally


Jul 08, 2021
Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi

Figure 1 for Improving Model Robustness with Latent Distribution Locally and Globally
Figure 2 for Improving Model Robustness with Latent Distribution Locally and Globally
Figure 3 for Improving Model Robustness with Latent Distribution Locally and Globally
Figure 4 for Improving Model Robustness with Latent Distribution Locally and Globally

  Access Paper or Ask Questions

Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature


Jun 24, 2021
Dalton Schutte, Jake Vasilakes, Anu Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang

Figure 1 for Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature
Figure 2 for Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature
Figure 3 for Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature
Figure 4 for Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature
* 14 pages, 4 tables, 1 figure 
  Access Paper or Ask Questions

Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training


Jun 22, 2021
Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut T Kandemir, Chita R Das

Figure 1 for Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
Figure 2 for Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
Figure 3 for Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
Figure 4 for Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training

  Access Paper or Ask Questions

Distributed Beam Training for Intelligent Reflecting Surface Enabled Multi-Hop Routing


Jun 22, 2021
Weidong Mei, Rui Zhang

Figure 1 for Distributed Beam Training for Intelligent Reflecting Surface Enabled Multi-Hop Routing
Figure 2 for Distributed Beam Training for Intelligent Reflecting Surface Enabled Multi-Hop Routing
Figure 3 for Distributed Beam Training for Intelligent Reflecting Surface Enabled Multi-Hop Routing
Figure 4 for Distributed Beam Training for Intelligent Reflecting Surface Enabled Multi-Hop Routing
* 6 pages, 5 figures. Our other works on multi-IRS aided wireless network: IRS-user associations (arXiv:2009.02551), single-beam multi-hop routing (arXiv:2010.13589), and multi-beam multi-hop routing (arXiv:2101.00217) 
  Access Paper or Ask Questions

Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter


Jun 21, 2021
Yefeng Wang, Yunpeng Zhao, Jiang Bian, Rui Zhang

Figure 1 for Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter
Figure 2 for Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter
Figure 3 for Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter
Figure 4 for Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter
* 1 Figure, 6 Tables 
  Access Paper or Ask Questions

Deep Contrastive Graph Representation via Adaptive Homotopy Learning


Jun 17, 2021
Rui Zhang, Chengjun Lu, Ziheng Jiao, Xuelong Li

Figure 1 for Deep Contrastive Graph Representation via Adaptive Homotopy Learning
Figure 2 for Deep Contrastive Graph Representation via Adaptive Homotopy Learning
Figure 3 for Deep Contrastive Graph Representation via Adaptive Homotopy Learning
Figure 4 for Deep Contrastive Graph Representation via Adaptive Homotopy Learning
* 9 pages,4 figures 
  Access Paper or Ask Questions

Shuffle Transformer with Feature Alignment for Video Face Parsing


Jun 16, 2021
Rui Zhang, Yang Han, Zilong Huang, Pei Cheng, Guozhong Luo, Gang Yu, Bin Fu

Figure 1 for Shuffle Transformer with Feature Alignment for Video Face Parsing
Figure 2 for Shuffle Transformer with Feature Alignment for Video Face Parsing
Figure 3 for Shuffle Transformer with Feature Alignment for Video Face Parsing
* technical report 
  Access Paper or Ask Questions

Non-Gradient Manifold Neural Network


Jun 15, 2021
Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li

Figure 1 for Non-Gradient Manifold Neural Network
Figure 2 for Non-Gradient Manifold Neural Network
Figure 3 for Non-Gradient Manifold Neural Network
Figure 4 for Non-Gradient Manifold Neural Network

  Access Paper or Ask Questions