Publications

Liangkai Liu, Ren Zhong, Aaron Willcock, Nathan Fisher, and Weisong Shi, An Open Approach to Energy-Efficient Autonomous Mobile Robots, in Proceedings of 2023 IEEE International Conference on Robotics and Automation (ICRA), May 29 - June 2, 2023, London, UK.

Sidi Lu and Weisong Shi, Vehicle Computing: Vision and Challenges, Journal of Information and Intelligence, Vol. 1, No. 1, Jan. 2023.

Huizi Xiao, Lin Cai, Jie Feng, Qingqi Pei, and Weisong Shi, Resource Optimization of MAB-based Reputation Management for Data Trading in Vehicular Edge Computing, IEEE Transactions on Wireless Communications, January 2023. DOI: 10.1109/TWC.2022.3233035

Quyuan Luo, Tom H. Luan, Weisong Shi, Pingzhi Fan, Edge Computing Enabled Energy-Efficient Multi-UAV Cooperative Target Search, IEEE Transactions on Vehicular Technology, accepted December 2022.

Liangkai Liu, Zheng Dong, Yanzhi Wang, and Weisong Shi, Prophet: A Predictable Real-time Perception Pipeline for Autonomous Vehicles, in Proceedings of the 2022 IEEE Real-Time Systems Symposium (RTSS), December 5-8, 2022. Houston, USA.

Liangkai Liu, Yanzhi Wang, and Weisong Shi, Understanding Time Variations of DNN Inference in Autonomous Driving, Technical Report CAR-2022-001, September 2022.

Hui Sun, Bo Zhang, Xiuye Zhang, Ying Yu, Kewei Sha, Weisong Shi,FlexEdge: Dynamic Task Scheduling for a UAV-based On-Demand Mobile Edge Server, IEEE Internet of Things Journal, Vol. 9, No. 17, September 2022. pp. 15983-16005.

Zheng Dong, Yan Lu, Guangmo Tong, Yuanchao Shu, Shuai Wang and Weisong Shi, WatchDog: Real-time Vehicle Tracking on Geo-distributed Edge Nodes, ACM Transactions on Internet of Things (TIoT), 2022.

Zhe Jiang, Kecheng Yang, Nathan Fisher, Ian Gray, Neil Audsley, and Zheng Dong, AXI-ICRT: Towards a Real-Time AXI-Interconnect for Highly Integrated SoCs, IEEE Transactions on Computers (TC), 2022

Shuai Wang, Junke Lu, Baosheng Guo, Zheng Dong, RT-VeD: Real-Time VoI Detection on Edge Nodes with an Adaptive Model Selection Framework, the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), August 14-18, 2022.

Baofu Wu, Yuankai He, Zheng Dong, Jian Wan, Jilin Zhang, and Weisong Shi,To Turn or Not To Turn, SafeCross is the Answer, 42nd IEEE International Conference on Distributed Computing Systems (ICDCS), July 10-13, 2022, Bologna, Italy.

Zhe Jiang, Kecheng Yang, Neil Audsley, Nathan Fisher, Weisong Shi, and Zheng Dong, BlueScale: A Scalable Memory Architecture for Predictable Real-Time Computing on Highly Integrated SoCs, in Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC), July 10-14, 2022, San Francisco, USA.

Sidi Lu and Weisong Shi, Vehicle Computing: Vision and Challenges, Autonomous Driving Letters (ADL), Vol. 1, No. 1, April 2022.

Sidi Lu, Nejib Ammar, Akila Ganlath, Haoxin Wang, and Weisong Shi, A Comparison of End-to-End Architectures for Connected Vehicles, in Proceedings of the fifth International Conference on Connected and Autonomous Driving(MetroCAD), April 29, 2022, Detroit, USA.

Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulous, Sidi Lu, Weisong Shi, Xiang Chen SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection, in Proceedings of the IEEE Winter Conference of Applications on Computer Vision(WACV), January 4-8, 2022, Waikoloa, Hawaii.

Cong Gao, Geng Wang, Weisong Shi, Zhongmin Wang and Yanping Chen, Autonomous Driving Security: State-of-the-Art and Challenges, accepted by IEEE Internet of Things Journal, November 2021.

Weisong Shi and Liangkai Liu, Computing Systems for Autonomous Driving, Springer, ISBN-13: 978-3030815639, November 2021.

Lanyu Xu, Arun Iyengar and Weisong Shi, NLUBroker: A QoE-driven Broker System for Natural Language Understanding Services, accepted by ACM Transactions on Internet Technology, November 2021.

Quyuan Luo, Changle Li, Tom H. Luan and Weisong Shi, Self-Learning based Computation Offloading for Internet of Vehicles: Model and Algorithm, IEEE Transactions on Wireless Communications (TWC), Vol. 20, No. 9, September 2021.

Yongtao Yao, Tony Geara, and Weisong Shi, Impact of COVID-19 on City-Scale Transportation and Safety: An Early Experience from Detroit, accepted by Smart Health, September 2021.

Shihong Hu, Guanghui Li, and Weisong Shi, LARS: A Latency-aware and Real-time Scheduling Framework for Edge-enabled Internet of Vehicles, IEEE Transactions on Service Computing, August 2021.

Quyuan Luo, Shihong Hu, Changle Li, Guanghui Li, and Weisong Shi, Resource Scheduling in Edge Computing: A Survey, IEEE Communications Surveys and Tutorials, August 2021.

Lanyu Xu, Arun Iyengar and Weisong Shi, ChatCache: A Hierarchical Semantic Redundancy Cache System for Conversational Services at Edge, in Proceedings of the IEEE International Conference on Cloud Computing(Cloud), Sep. 5-10, 2021, Virtual.

Liangkai Liu, Shaoshan Liu and Weisong Shi, 4C: A Computation, Communication, and Control Co-Design Framework for CAVs, IEEE Wireless Communication Magazine, August 2021.

Tianze Wu, Baofu Wu, Sa Wang, Liangkai Liu, Shaoshan Liu, Yungang Bao, Weisong Shi, Oops! It's Too Late. Your Autonomous Driving System Needs a Faster Middleware, accepted by IIEEE Robotics and Automation Letters (RA-L), July 2021.

Huizi Xiao; Jun Zhao; Qingqi Pei; Jie Feng; Lei Liu; Weisong Shi, Vehicle Selection and Resource Optimization for Federated Learning in Vehicular Edge Computing, accepted by IEEE Transactions on Intelligent Transportation Systems (TITS), June 2021.

Sidi Lu and Weisong Shi, The Emergence of Vehicle Computing, IEEE Internet Computing Magazine, May/June 2021.

Quyuan Luo, Changle Li, Tom H. Luan and Weisong Shi, Self-Learning based Computation Offloading for Internet of Vehicles: Model and Algorithm, accepted by IEEE Transactions on Wireless Communications (TWC), March 2021.

Huizi Xiao, Qingyang Zhang, Qingqi Pei, and Weisong Shi, Privacy-Preserving Neural Network Inference Framework via Homomorphic Encryption and SGX, in Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, ICDCS, July 7-10, 2021. (virtual)

Prabhjot Kaur, Samira Taghavi, Zhaofeng Tian, and Weisong Shi, A Survey on Simulators for Testing Self-Driving Cars, in Proceedings of 4th International Conference on Connected and Autonomous Driving (MetroCAD), April 29, 2021.

Raef Abdallah and Weisong Shi, SafeOverPass: An Edge-based Low-Clearance Overpass Warning System, in Proceedings of 4th International Conference on Connected and Autonomous Driving (MetroCAD), April 29, 2021.

Quyuan Luo, Changle Li, Tom H. Luan, Weisong Shi, Minimizing the Delay and Cost of Computation Offloading for Vehicular Edge Computing, accepted by IEEE Transactions on Services Computing (TSC), March 2021.

Liangkai Liu, Sidi Lu, Ren Zhong, Baofu Wu, Yongtao Yao, Qingyang Zhang, and Weisong Shi, Computing Systems for Autonomous Driving: State-of-the-Art and Challenges, Technical Report CAR-TR-2020-009, to appear on IEEE Internet of Things Journal (IoTJ), November, 2020.

Sidi Lu, Yongtao Yao and Weisong Shi, CLONE: Collaborative Learning on the Edges, accepted by IEEE Internet of Things Journal (IoTJ), October 2020.

Qingyang Zhang, Hong Zhong, Jie Cui, Lingmei Ren and Weisong Shi, AC4AV: A Flexible and Dynamic Access Control Framework for Connected and Autonomous Vehicles, accepted by IEEE Internet of Things Journal (IoTJ), August 2020.

Sidi Lu, Xin Yuan and Weisong Shi, EdgeCompression: An Integrated Framework for Compressive Imaging Processing on CAVs, in Proceedings of the fifth ACM/IEEE Symposium on Edge Computing (SEC), November 11-13, 2020.

Ruijun Wang, Liangkai Liu, and Weisong Shi, HydraSpace: Computational Data Storage for Autonomous Vehicles, in Proceedings of IEEE Collaborative and Internet Computing Vision Track (CIC), December, 2020.

Liangkai Liu, Baofu Wu and Weisong Shi, A Comparison of Communication Mechanisms in Vehicular Edge Computing, in Proceedings of the 3rd USENIX Workshop on Hot Topics in Edge Computing (HotEdge), July 14, 2020, Boston, MA, USA.

Mohit Kumar, Xingzhou Zhang, Liangkai Liu, Yifan Wang and Weisong Shi, Energy-Efficient Machine Learning on the Edges, in Proceedings of the 2nd Workshop on Parallel AI and Systems on the Edges (PAISE), May 22, 2020. New Orleans, Louisiana USA.

Kaile Xiao, Weisong Shi, Zhipeng Gao, Congcong Yao, Xuesong Qiu, DAER: A Resource Pre-allocation Algorithm of Edge Computing Server using Blockchain in Intelligent Driving, IEEE Internet of Things Journal (IoTJ), Vol. 7, No. 10, October 2020. pp. 9291-9302.

Quyuan Luo, Changle Li, Tom Luan, Weisong Shi, Collaborative Data Scheduling for Vehicular Edge Computing via Deep Reinforcement Learning, IEEE Internet of Things Journal (IoTJ), Vol. 7, No. 10, October. 2020. pp.9637-9650.

Quyuan Luo, Changle Li, Tom Luan, Weisong Shi, EdgeVCD: Intelligent Algorithm Inspired Content Distribution in Vehicular Edge Computing Network, IEEE Internet of Things Journal (IoTJ), Vol. 7, No. 6, June 2020. pp.5562-5579.

Jie Tang, Shaoshan Liu, Liangkai Liu, Bo Yu, Weisong Shi, LoPECS: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services, IEEE Access, Feb. 2020.

Zheng Dong, Weisong Shi, Guangmo Tong, and Kecheng Yang, Collaborative Autonomous Driving: Vision and Challenges, in Proceedings of third IEEE International Conference on Connected and Autonomous Driving (MetroCAD), Feb. 27-28, 2020, Detroit, MI.

Tianze Wu, Yifan Wang, Weisong Shi, and Joshua Lu, HydraMini: An FPGA-based Affordable Research and Education Platform for Autonomous Driving, in Proceedings of third IEEE International Conference on Connected and Autonomous Driving (MetroCAD), Feb. 27-28, 2020, Detroit, MI.

Luodai Yang, Qian Jian, Ruijun Wang, Jie Cao, and Weisong Shi, HydraView: A Synchronized 360◦-View of Multiple Sensors for Autonomous Vehicles, in Proceedings of third IEEE International Conference on Connected and Autonomous Driving (MetroCAD), Feb. 27-28, 2020, Detroit, MI.

Weisong Shi, George Pallis, and Zhiwei Xu, Edge Computing, Proceedings of the IEEE, Vol. 107, No. 8, August, 2019. pp. 1474-1481.

Liangkai Liu, Jiamin Chen, Marco Brocanelli, and Weisong Shi, E2M: An Energy-Efficient Middleware for Computer Vision Applications on Autonomous Mobile Robots, in Proceedings of the fourth ACM/IEEE Symposium on Edge Computing (SEC), November 7-9, 2019, Arlington, VA, USA.

Xingzhou Zhang, Mu Qiao, Liangkai Liu, Yunfei Xu, and Weisong Shi, Collaborative Cloud-Edge Computation for Personalized Driving Behavior Modeling, in Proceedings of the fourth ACM/IEEE Symposium on Edge Computing (SEC), November 7-9, 2019, Arlington, VA, USA.

Shaoshan Liu, Liangkai Liu, Jie Tang, Bo Yu, Yifan Wang, and Weisong Shi, Edge Computing for Autonomous Driving: Opprotunities and Challenges, accepted by Proceedings of the IEEE, May 2019.

Yifan Wang, Liangkai Liu, Xingzhou Zhang and Weisong Shi, HydraOne: An Indoor Experimental Research and Education Platform for CAVs, in Proceedings of the 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge), July 9, 2019, Renton, WA, USA.

Sidi Lu, Yongtao Yao and Weisong Shi, Collaborative Learning on the Edges: A Case Study on Connected Vehicles, in Proceedings of the 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge), July 9, 2019, Renton, WA, USA.

Xingzhou Zhang, Yifan Wang, Sidi Lu, Liangkai Liu, Lanyu Xu, Weisong Shi, OpenEI: An Open Framework for Edge Intelligence, in Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS), Vision/Blue Sky Track, July 7-10, 2019, Dallas, USA.

Liangkai Liu, Xingzhou Zhang, Qingyang Zhang, Andrew Weinert, Yifan Wang and Weisong Shi, AutoVAPS: An IoT-Enabled Public Safety Service on Vehicles, in Proceedings of 4th Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE), April 15-18, 2019.

Yao Zhang, Changle Li, Tom H. Luan, Yuchun Fu, Weisong Shi, Lina Zhu, A Mobility-Aware Vehicular Caching Scheme in Content Centric Networks: Model and Optimization, accepted by IEEE Transactions on Vehicular Technology, Janunary 2019.

Zhenyu Ning, Jinghui Liao, Fengwei Zhang and Weisong Shi, Preliminary Study of Trusted Execution Environments on Heterogeneous Edge Platforms, in Proceedings of the 1st Workshop on Security and Privacy in Edge Compting (EdgeSP), Oct. 27, 2018. Bellevue, WA.

Yifan Wang, Shaoshan Liu, Xiaowei Wu, and Weisong Shi, CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles, in Proceedings of the 3nd ACM/IEEE Symposium on Edge Computing (SEC), Oct. 25-27, 2018. Bellevue, WA.

Liangkai Liu, Xingzhou Zhang, Mu Qiao, and Weisong Shi, SafeShareRide: Edge-based Attack Detection in Ridesharing Services, in Proceedings of the 3nd ACM/IEEE Symposium on Edge Computing (SEC), Oct. 25-27, 2018. Bellevue, WA.

Jie Tang, Shaoshan Liu, Liangkai Liu, Bo Yu, and Weisong Shi, π-Edge: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services, Technical Report MIST-TR-2018-061.

Jie Tang, Shaoshan Liu, Songwen Pei, Stephane Zuckerman, Chen Liu, Weisong Shi, and Jean-Luc Gaudiot, Teaching Autonomous Driving Using a Modular and Integrated Approach, in Proceedings of the 42nd IEEE International Conferences on Computers, Software & Applications (COMPSAC), July 23-27, 2018. Tokyo, Japan.

Xingzhou Zhang, Yifan Wang, and Weisong Shi, pCAMP: Performance Comparison of Machine Learning Packages on the Edges, in Proceedings of USENIX Workshop on Hot Topics in Edge Computing (HotEdge), July 10, 2018. Boston, USA.

Liangkai Liu, Xingzhou Zhang, Mu Qiao, and Weisong Shi, SafeShareRide: Edge-based Attack Detection in Ridesharing Services, in Proceedings of USENIX Workshop on Hot Topics in Edge Computing (HotEdge), July 10, 2018. Boston, USA.

Qingyang Zhang, Yifan Wang, Xingzhou Zhang,Liangkai Liu, Xiaopei Wu, Weisong Shi and Hong Zhong, OpenVDAP: An Open Vehicular Data Analytics Platform for CAVs, in Proceedings of the 38th IEEE International Conference on Distributed Computing Systems (ICDCS), Vision/Blue Sky Track, July 2-5, 2018. Vienna, Austria.

Quan Zhang, Qingyang Zhang, Weisong Shi and Hong Zhong, Firework: Data Processing and Sharing for Hybrid Cloud-Edge Analytics, accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS), February 2018.

Qingyang Zhang, Quan Zhang, Weisong Shi and Hong Zhong, Distributed Collaborative Execution on the Edges and Its Application on AMBER Alert,accepted by IEEE Internet of Things Journal. Feb. 2018

Kewei Sha, Wei Wei, Andrew T. Yang, Zhiwei Wang and Weisong Shi, On Security Challenges and Open Issues in Internet of Things, accepted by Future Generation Computer Systems, January 2018.

Jie Tang, Shaoshan Liu, Jie Cao, Dawei Sun, Bolin Ding, Zhe Zhang, Jean-Luc Gaudiot and Weisong Shi, pi-Hub:Large-Scale Video Learning, Storage,and Retrieval on Heterogeneous Hardware Platforms, Technical Reprot MIST-TR-2017-012, November 2017.

Shanhe Yi, Zijiang Hao, Qingyang Zhang, Quan Zhang, Weisong Shi and Qun Li, LAVEA: Latency-aware Video Analytics on Edge Computing Platform , in Proceedings of the 2nd ACM/IEEE Symposium on Edge Computing (SEC), San Jose, Oct 12-14, 2017.

Qingyang Zhang, Quan Zhang, Weisong Shi and Hong Zhong, Poster: Enhancing AMBER Alert using Collaborative Edges , in Proceedings of the 2nd ACM/IEEE Symposium on Edge Computing ( SEC),San Jose, Oct 12-14, 2017.

Zhenyu Ning, Fengwei Zhang, Weisong Shi and Larry Shi, Position Paper: Challenges Toward Securing Hardware-assisted Execution Environments, in Proceedings of Hardware and Architectural Support for Security and Privacy (HASP), in conjunction with ISCA, Toronto, Canada, June 25, 2017.

Qingyang Zhang, Zhifeng Yu, Weisong Shi and Hong Zhong, Demo Abstract: EVAPS: Edge Video Analysis for Public Safety, in Proceedings of the 1st IEEE/ACM Symposium on Edge Computing (SEC), Washington DC, Oct 27-28, 2016.

Quan Zhang, Xiaohong Zhang, Qingyang Zhang, Weisong Shi and Hong Zhong, Firework: Big Data Sharing and Processing in Collaborative Edge Environment, in Proceedings of 4th IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb), Washington DC, Oct. 24-25,2016.

Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li and Lanyu Xu, Edge Computing: Vision and Challenges, IEEE Internet of Things Journal (IoTJ), Vol. 3, No. 5, October 2016, pp. 637-646.