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 Shuai Wang

Shuai Wang

Privileged Graph Distillation for Cold Start Recommendation


May 31, 2021
Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang

Figure 1 for Privileged Graph Distillation for Cold Start Recommendation
Figure 2 for Privileged Graph Distillation for Cold Start Recommendation
Figure 3 for Privileged Graph Distillation for Cold Start Recommendation
Figure 4 for Privileged Graph Distillation for Cold Start Recommendation
* 10 pages,5 figures 
  Access Paper or Ask Questions

Federated Meta Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things Underwater Acoustic Communications


May 24, 2021
Hao Zhao, Fei Ji, Quansheng Guan, Qiang Li, Shuai Wang, Hefeng Dong, Miaowen Wen

Figure 1 for Federated Meta Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things Underwater Acoustic Communications
Figure 2 for Federated Meta Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things Underwater Acoustic Communications
Figure 3 for Federated Meta Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things Underwater Acoustic Communications
Figure 4 for Federated Meta Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things Underwater Acoustic Communications

  Access Paper or Ask Questions

Voice activity detection in the wild: A data-driven approach using teacher-student training


May 10, 2021
Heinrich Dinkel, Shuai Wang, Xuenan Xu, Mengyue Wu, Kai Yu

Figure 1 for Voice activity detection in the wild: A data-driven approach using teacher-student training
Figure 2 for Voice activity detection in the wild: A data-driven approach using teacher-student training
Figure 3 for Voice activity detection in the wild: A data-driven approach using teacher-student training
Figure 4 for Voice activity detection in the wild: A data-driven approach using teacher-student training
* IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 1542-1555, 2021 
  Access Paper or Ask Questions

Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy


May 02, 2021
Yunxiang Li, Guodong Zeng, Yifan Zhang, Jun Wang, Qianni Zhang, Qun Jin, Lingling Sun, Qisi Lian, Neng Xia, Ruizi Peng, Kai Tang, Yaqi Wang, Shuai Wang

Figure 1 for Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy
Figure 2 for Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy
Figure 3 for Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy
Figure 4 for Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy

  Access Paper or Ask Questions

A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking


Apr 27, 2021
Shuai Wang, Penghui Wei, Jiahao Zhao, Wenji Mao

Figure 1 for A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
Figure 2 for A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
Figure 3 for A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
Figure 4 for A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
* 28 pages, 4 figures 
  Access Paper or Ask Questions

Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model


Apr 21, 2021
Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Xiaohui Peng, Tony Xiao Han

Figure 1 for Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model
Figure 2 for Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model
Figure 3 for Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model
Figure 4 for Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model
* 12 pages, 5 pages, submitted to IEEE SPAWC 2021 
  Access Paper or Ask Questions

Sequential Cross-Document Coreference Resolution


Apr 17, 2021
Emily Allaway, Shuai Wang, Miguel Ballesteros

Figure 1 for Sequential Cross-Document Coreference Resolution
Figure 2 for Sequential Cross-Document Coreference Resolution
Figure 3 for Sequential Cross-Document Coreference Resolution
Figure 4 for Sequential Cross-Document Coreference Resolution

  Access Paper or Ask Questions

High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection


Mar 07, 2021
Yunxiang Li, Yifan Zhang, Yaqi Wang, Shuai Wang, Ruizi Peng, Kai Tang, Qianni Zhang, Jun Wang, Qun Jin, Lingling Sun

Figure 1 for High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection
Figure 2 for High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection
Figure 3 for High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection
Figure 4 for High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection
* 10 pages, 4 figures 
  Access Paper or Ask Questions

Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles


Mar 05, 2021
Zijian Zhang, Shuai Wang, Yuncong Hong, Liangkai Zhou, Qi Hao

Figure 1 for Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles
Figure 2 for Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles
Figure 3 for Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles
Figure 4 for Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles
* 12 pages, 5 figures, to appear in 2021 IEEE International Conference on Robotics and Automation (ICRA) 
  Access Paper or Ask Questions

Unit selection synthesis based data augmentation for fixed phrase speaker verification


Feb 19, 2021
Houjun Huang, Xu Xiang, Fei Zhao, Shuai Wang, Yanmin Qian

Figure 1 for Unit selection synthesis based data augmentation for fixed phrase speaker verification
Figure 2 for Unit selection synthesis based data augmentation for fixed phrase speaker verification
Figure 3 for Unit selection synthesis based data augmentation for fixed phrase speaker verification
Figure 4 for Unit selection synthesis based data augmentation for fixed phrase speaker verification
* Accepted to ICASSP 2021 
  Access Paper or Ask Questions

Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version)


Feb 16, 2021
Shuai Wang, Yuncong Hong, Rui Wang, Qi Hao, Yik-Chung Wu, Derrick Wing Kwan Ng

Figure 1 for Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version)
Figure 2 for Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version)
Figure 3 for Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version)
Figure 4 for Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version)
* 34 pages, 7 figures, submitted to IEEE for possible publication 
  Access Paper or Ask Questions

Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks


Dec 25, 2020
Shanfeng Huang, Shuai Wang, Rui Wang, Miaowen Wen, Kaibin Huang

Figure 1 for Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
Figure 2 for Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
Figure 3 for Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
Figure 4 for Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
* 30 pages, 8 figures, submitted to IEEE Transactions on Cognitive Communications and Networking 
  Access Paper or Ask Questions

MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing


Dec 21, 2020
Pingchuan Ma, Shuai Wang

Figure 1 for MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing
Figure 2 for MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing
Figure 3 for MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing
Figure 4 for MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing

  Access Paper or Ask Questions

Multi-Domain Multi-Task Rehearsal for Lifelong Learning


Dec 14, 2020
Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang

Figure 1 for Multi-Domain Multi-Task Rehearsal for Lifelong Learning
Figure 2 for Multi-Domain Multi-Task Rehearsal for Lifelong Learning
Figure 3 for Multi-Domain Multi-Task Rehearsal for Lifelong Learning
Figure 4 for Multi-Domain Multi-Task Rehearsal for Lifelong Learning
* Accepted by AAAI 2021 
  Access Paper or Ask Questions

Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images


Nov 11, 2020
Jingxiong Li, Yaqi Wang, Shuai Wang, Jun Wang, Jun Liu, Qun Jin, Lingling Sun

Figure 1 for Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images
Figure 2 for Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images
Figure 3 for Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images
Figure 4 for Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images

  Access Paper or Ask Questions

Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment


Oct 29, 2020
Liangkai Zhou, Yuncong Hong, Shuai Wang, Ruihua Han, Dachuan Li, Rui Wang, Qi Hao

Figure 1 for Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment
Figure 2 for Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment
Figure 3 for Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment
Figure 4 for Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment
* 18 pages, 4 figures, submitted to IEEE Transactions on Vehicular Technology 
  Access Paper or Ask Questions

A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining


Oct 11, 2020
Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu

Figure 1 for A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining
Figure 2 for A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining
Figure 3 for A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining
Figure 4 for A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining
* Accepted to Proceedings of EMNLP 2020 (Findings) 
  Access Paper or Ask Questions

Resource-Enhanced Neural Model for Event Argument Extraction


Oct 06, 2020
Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan

Figure 1 for Resource-Enhanced Neural Model for Event Argument Extraction
Figure 2 for Resource-Enhanced Neural Model for Event Argument Extraction
Figure 3 for Resource-Enhanced Neural Model for Event Argument Extraction
Figure 4 for Resource-Enhanced Neural Model for Event Argument Extraction
* Findings of EMNLP 2020 
  Access Paper or Ask Questions

F2ED-Learning: Good Fences Make Good Neighbors


Oct 02, 2020
Lun Wang, Qi Pang, Shuai Wang, Dawn Song

Figure 1 for F2ED-Learning: Good Fences Make Good Neighbors
Figure 2 for F2ED-Learning: Good Fences Make Good Neighbors
Figure 3 for F2ED-Learning: Good Fences Make Good Neighbors

  Access Paper or Ask Questions

Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning


Sep 07, 2020
Dan Liu, Shuai Wang, Zhigang Wen, Lei Cheng, Miaowen Wen, Yik-Chung Wu

Figure 1 for Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning
Figure 2 for Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning
Figure 3 for Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning
Figure 4 for Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning
* 16 pages, 6 figures, to appear in IEEE Internet of Things Journal 
  Access Paper or Ask Questions

Learning Centric Power Allocation for Edge Intelligence


Jul 21, 2020
Shuai Wang, Rui Wang, Qi Hao, Yik-Chung Wu, H. Vincent Poor

Figure 1 for Learning Centric Power Allocation for Edge Intelligence
Figure 2 for Learning Centric Power Allocation for Edge Intelligence
Figure 3 for Learning Centric Power Allocation for Edge Intelligence
* 6 pages, 7 figures, in Proc. IEEE ICC 2020, Wireless Communications Symposium, Jun. 2020. arXiv admin note: substantial text overlap with arXiv:1911.04922 
  Access Paper or Ask Questions

Deep Job Understanding at LinkedIn


May 29, 2020
Shan Li, Baoxu Shi, Jaewon Yang, Ji Yan, Shuai Wang, Fei Chen, Qi He

Figure 1 for Deep Job Understanding at LinkedIn
Figure 2 for Deep Job Understanding at LinkedIn
Figure 3 for Deep Job Understanding at LinkedIn
Figure 4 for Deep Job Understanding at LinkedIn
* 4 pages, to appear in SIGIR2020 
  Access Paper or Ask Questions

Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon


Apr 29, 2020
Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu

Figure 1 for Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon
Figure 2 for Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon
Figure 3 for Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon
Figure 4 for Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon

  Access Paper or Ask Questions

Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets


Apr 21, 2020
Liwei Jiang, Dan Li, Qisheng Wang, Shuai Wang, Songtao Wang

Figure 1 for Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets
Figure 2 for Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets
Figure 3 for Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets
Figure 4 for Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets
* 10 pages, 4 figures 
  Access Paper or Ask Questions

Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events


Apr 08, 2020
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen McKeown, Yaser Al-Onaizan

Figure 1 for Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events

  Access Paper or Ask Questions

MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension


Mar 20, 2020
Shuai Wang, Fan Lyu, Wei Feng, Song Wang

Figure 1 for MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension
Figure 2 for MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension
Figure 3 for MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension
Figure 4 for MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension
* 6 pages, Accepted by ICME-2020 
  Access Paper or Ask Questions

Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only


Mar 01, 2020
Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan

Figure 1 for Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
Figure 2 for Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
Figure 3 for Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
Figure 4 for Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
* To appear in CVPR2020 
  Access Paper or Ask Questions

Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing


Feb 12, 2020
Shuai Wang, Tsung-Hui Chang

Figure 1 for Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing
Figure 2 for Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing
Figure 3 for Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing
Figure 4 for Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing

  Access Paper or Ask Questions