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

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles



Chejian Xu , Wenhao Ding , Weijie Lyu , Zuxin Liu , Shuai Wang , Yihan He , Hanjiang Hu , Ding Zhao , Bo Li

Figure 1 for SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
Figure 2 for SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
Figure 3 for SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
Figure 4 for SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

   Access Paper or Ask Questions

Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration



Peixi Liu , Guangxu Zhu , Shuai Wang , Wei Jiang , Wu Luo , H. Vincent Poor , Shuguang Cui

Figure 1 for Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration
Figure 2 for Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration
Figure 3 for Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration
Figure 4 for Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration
* 13 pages, submitted to IEEE for possible publication 
   Access Paper or Ask Questions

Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification



Shuai Wang , Chengyang Li , Qi Hao , Chengzhong Xu , Derrick Wing Kwan Ng , Yonina C. Eldar , H. Vincent Poor

Figure 1 for Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification
Figure 2 for Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification
Figure 3 for Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification
Figure 4 for Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification
* 9 pages, 5 figures, submitted to IEEE for possible publication 
   Access Paper or Ask Questions

Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees



Banghua Zhu , Lun Wang , Qi Pang , Shuai Wang , Jiantao Jiao , Dawn Song , Michael I. Jordan

Figure 1 for Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
Figure 2 for Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
Figure 3 for Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees

   Access Paper or Ask Questions

Low-complexity Beam Selection algorithms based on SVD for MmWave Massive MIMO Systems



Jinxing Yang , Jihong Yu , Shuai Wang , Hao Liu

Figure 1 for Low-complexity Beam Selection algorithms based on SVD for MmWave Massive MIMO Systems
Figure 2 for Low-complexity Beam Selection algorithms based on SVD for MmWave Massive MIMO Systems

   Access Paper or Ask Questions

To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers



Hang Li , Shuai Wang , Shengyao Zhuang , Ahmed Mourad , Xueguang Ma , Jimmy Lin , Guido Zuccon

Figure 1 for To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers
* Short research paper, accepted at SIGIR2022 
   Access Paper or Ask Questions

Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods



Zongze Li , Shuai Wang , Qingfeng Lin , Yang Li , Miaowen Wen , Yik-Chung Wu , H. Vincent Poor

Figure 1 for Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods
Figure 2 for Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods
Figure 3 for Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods
Figure 4 for Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods

   Access Paper or Ask Questions

Federated Stochastic Primal-dual Learning with Differential Privacy



Yiwei Li , Shuai Wang , Tsung-Hui Chang , Chong-Yung Chi

Figure 1 for Federated Stochastic Primal-dual Learning with Differential Privacy
Figure 2 for Federated Stochastic Primal-dual Learning with Differential Privacy
Figure 3 for Federated Stochastic Primal-dual Learning with Differential Privacy
Figure 4 for Federated Stochastic Primal-dual Learning with Differential Privacy
* 18 pages, 6 figures 
   Access Paper or Ask Questions

From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search



Shuai Wang , Harrisen Scells , Justin Clark , Bevan Koopman , Guido Zuccon

Figure 1 for From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search
Figure 2 for From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search
Figure 3 for From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search
Figure 4 for From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search
* Accepted and To be appeared in SIGIR 2022 proceeding 
   Access Paper or Ask Questions

Accelerating Federated Edge Learning via Topology Optimization



Shanfeng Huang , Zezhong Zhang , Shuai Wang , Rui Wang , Kaibin Huang

Figure 1 for Accelerating Federated Edge Learning via Topology Optimization
Figure 2 for Accelerating Federated Edge Learning via Topology Optimization
Figure 3 for Accelerating Federated Edge Learning via Topology Optimization
Figure 4 for Accelerating Federated Edge Learning via Topology Optimization
* 15 pages, accepted by IEEE IoTJ for publication 
   Access Paper or Ask Questions
1
2
3
4
5
6
7
>>