@inproceedings{liu2026calib,title={Adversarial Calibration Attack on Autonomous Vehicles},author={Liu, Liangkai and Zhang, Qingzhao and Shin, Kang G.},booktitle={Arxiv},year={2026}}
MM-BEV: Enhancing Timeliness by Computing Where and When it Matters
@inproceedings{liu2025mmbev,title={MM-BEV: Enhancing Timeliness by Computing Where and When it Matters},author={Liu, Liangkai and Shin, Kang G.},booktitle={Arxiv},year={2026}}
Context-Aware Intelligent Vehicles
Liangkai Liu, Shuyao Shi, Mingke Wang, Noah T. Curran, Chuan Li, Fan Bai, Kang G. Shin
@inproceedings{liu2026context,title={Context-Aware Intelligent Vehicles},author={Liu, Liangkai and Shi, Shuyao and Wang, Mingke and Curran, Noah T. and Li, Chuan and Bai, Fan and Shin, Kang G.},booktitle={Submission},year={2026}}
PIE: Patch-based Inference Engine for Predictable Deep Learning
@inproceedings{liu2025pie,author={Liu, Liangkai and Shin, Kang G.},title={PIE: Patch-based Inference Engine for Predictable Deep Learning},booktitle={Submission},year={2026}}
@inproceedings{liu2025eXR,author={Liu, Liangkai and Sun, Ke and Shin, Kang G.},title={eXR: A Power-Efficient Framework For XR},booktitle={Submission},year={2026}}
@inproceedings{liu2025pNav,author={Liu, Liangkai and Shi, Weisong and Shin, Kang G.},title={Power-Efficient Autonomous Mobile Robots},booktitle={Arxiv},year={2025}}
Enhancing Predictability of Multi-Tenant DNN Inference for Autonomous Vehicles’ Perception
Liangkai Liu, Kang G. Shin, Jinkyu Lee, Chengmo Yang, Weisong Shi
@inproceedings{liu2024ppdnn,author={Liu, Liangkai and Shin, Kang G. and Lee, Jinkyu and Yang, Chengmo and Shi, Weisong},title={Enhancing Predictability of Multi-Tenant DNN Inference for Autonomous Vehicles' Perception},booktitle={Arxiv},year={2025}}
Highlighted Publications
[RTSS '24] RT-BEV: Enhancing Real-Time BEV Perception for Autonomous Vehicles
@inproceedings{liu2024bev,title={RT-BEV: Enhancing Real-Time BEV Perception for Autonomous Vehicles},author={Liu, Liangkai and Lee, Jinkyu and Shin, Kang G.},booktitle={45th IEEE Real-Time Systems Symposium},year={2024}}
[ICCAD '24] AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge
Chao Wu*, Yifan Gong*, Liangkai Liu*, Mengquan Li, Yushu Wu, Xuan Shen, Zhimin Li, Geng Yuan, Weisong Shi, Yanzhi Wang
International Conference on Computer-Aided Design (ICCAD)
@inproceedings{wu2024aye,title={AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge},author={Wu, Chao and Gong, Yifan and Liu, Liangkai and Li, Mengquan and Wu, Yushu and Shen, Xuan and Li, Zhimin and Yuan, Geng and Shi, Weisong and Wang, Yanzhi},booktitle={International Conference on Computer-Aided Design (ICCAD)},year={2024}}
[ICRA '23] An Open Approach to Energy-Efficient Autonomous Mobile Robots
Liangkai Liu, Ren Zhong, Aaron Willcock, Nathan Fisher, Weisong Shi
IEEE International Conference on Robotics and Automation (ICRA)
@inproceedings{liu2023open,title={An Open Approach to Energy-Efficient Autonomous Mobile Robots},author={Liu, Liangkai and Zhong, Ren and Willcock, Aaron and Fisher, Nathan and Shi, Weisong},booktitle={IEEE International Conference on Robotics and Automation (ICRA)},year={2023}}
[IEEE TITS '23] Fuel Rate Prediction for Heavy-Duty Trucks
Liangkai Liu, Wei Li, Dawei Wang, Yi Wu, Ruigang Yang, Weisong Shi
IEEE Transactions on Intelligent Transportation Systems
@article{liu2023fuel,title={Fuel Rate Prediction for Heavy-Duty Trucks},author={Liu, Liangkai and Li, Wei and Wang, Dawei and Wu, Yi and Yang, Ruigang and Shi, Weisong},journal={IEEE Transactions on Intelligent Transportation Systems},volume={24},number={8},pages={8222--8235},year={2023},publisher={IEEE}}
[RTSS '22] Prophet: Realizing a Predictable Real-Time Perception Pipeline for Autonomous Vehicles
Liangkai Liu, Zheng Dong, Yanzhi Wang, Weisong Shi
@inproceedings{liu2022prophet,title={Prophet: Realizing a Predictable Real-Time Perception Pipeline for Autonomous Vehicles},author={Liu, Liangkai and Dong, Zheng and Wang, Yanzhi and Shi, Weisong},booktitle={IEEE Real-Time Systems Symposium (RTSS)},pages={305--317},year={2022},organization={IEEE}}
[Springer '21] Computing Systems for Autonomous Driving
@article{liu2020computing,title={Computing Systems for Autonomous Driving: State of the Art and Challenges},author={Liu, Liangkai and Lu, Sidi and Zhong, Ren and Wu, Baofu and Yao, Yongtao and Zhang, Qingyang and Shi, Weisong},journal={IEEE Internet of Things Journal},volume={8},number={8},pages={6469--6486},year={2020},publisher={IEEE}}
[PIEEE '19] Edge Computing for Autonomous Driving: Opportunities and Challenges
Shaoshan Liu, Liangkai Liu, Jie Tang, Bo Yu, Yifan Wang, Weisong Shi
@article{liu2019edge,title={Edge Computing for Autonomous Driving: Opportunities and Challenges},author={Liu, Shaoshan and Liu, Liangkai and Tang, Jie and Yu, Bo and Wang, Yifan and Shi, Weisong},journal={Proceedings of the IEEE},volume={107},number={8},pages={1697--1716},year={2019},publisher={IEEE}}
[SEC '19] E2M: An Energy-Efficient Middleware for Computer Vision Applications on Autonomous Mobile Robots
Liangkai Liu, Jiamin Chen, Marco Brocanelli, Weisong Shi
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing
@inproceedings{liu2019e2m,title={E2M: An Energy-Efficient Middleware for Computer Vision Applications on Autonomous Mobile Robots},author={Liu, Liangkai and Chen, Jiamin and Brocanelli, Marco and Shi, Weisong},booktitle={Proceedings of the 4th ACM/IEEE Symposium on Edge Computing},pages={59--73},year={2019}}
[SEC '18] SafeShareRide: Edge-based Attack Detection in Ridesharing Services
Liangkai Liu, Xingzhou Zhang, Mu Qiao, Weisong Shi
@inproceedings{liu2018safeshareride,title={SafeShareRide: Edge-based Attack Detection in Ridesharing Services},author={Liu, Liangkai and Zhang, Xingzhou and Qiao, Mu and Shi, Weisong},booktitle={IEEE/ACM Symposium on Edge Computing (SEC)},pages={17--29},year={2018},organization={IEEE}}
[HotEdge '18] SafeShareRide: Edge-based Attack Detection in Ridesharing Services
Liangkai Liu, Xingzhou Zhang, Mu Qiao, Weisong Shi
USENIX Workshop on Hot Topics in Edge Computing (HotEdge 18)
@inproceedings{liu2018hotedge,title={{SafeShareRide}: Edge-based Attack Detection in Ridesharing Services},booktitle={USENIX Workshop on Hot Topics in Edge Computing (HotEdge 18)},author={Liu, Liangkai and Zhang, Xingzhou and Qiao, Mu and Shi, Weisong},year={2018.},address={Boston, MA},url={https://www.usenix.org/conference/hotedge18/presentation/liu},publisher={USENIX Association}}
Other Publications
[DroneSys '26] Fleets Need a Context Plane: Rethinking Cooperative Perception for Autonomous Drones
Liangkai Liu, Xiaoxiao Wu
2nd Workshop on Autonomous Drone Computing Systems and Applications (DroneSys), co-located with ACM/IEEE SEC
@inproceedings{liu2026fleets,title={Fleets Need a Context Plane: Rethinking Cooperative Perception for Autonomous Drones},author={Liu, Liangkai and Wu, Xiaoxiao},booktitle={2nd Workshop on Autonomous Drone Computing Systems and Applications (DroneSys), co-located with ACM/IEEE SEC},year={2026}}
[DAC '24] LOTUS: Learning-Based Online Thermal and Latency Variation Management for Two-Stage Detectors on Edge Devices
@inproceedings{gong2024lotus,title={LOTUS: Learning-Based Online Thermal and Latency Variation Management for Two-Stage Detectors on Edge Devices},author={Gong, Yifan and Wu, Yushu and Zhan, Zheng and Liu, Liangkai and Wu, Chao and Tang, Xulong and Wang, Yanzhi},booktitle={Design Automation Conference (DAC)},year={2024}}
[Tsinghua Sci Tech '24] CPT: A Configurable Predictability Testbed for DNN Inference in AVs
@inproceedings{liu2024cpt,title={CPT: A Configurable Predictability Testbed for DNN Inference in AVs},author={Liu, Liangkai and Wang, Yanzhi and Shi, Weisong},booktitle={Tsinghua Science and Technology},year={2024}}
[RTAS '23] Compositional Mixed-Criticality Systems with Multiple Executions and Resource-Budgets Model
Abdullah Al Arafat, Sudharsan Vaidhun, Liangkai Liu, Kecheng Yang, Zhishan Guo
IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS)
@inproceedings{al2023compositional,title={Compositional Mixed-Criticality Systems with Multiple Executions and Resource-Budgets Model},author={Al Arafat, Abdullah and Vaidhun, Sudharsan and Liu, Liangkai and Yang, Kecheng and Guo, Zhishan},booktitle={IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS)},pages={67--79},year={2023},organization={IEEE}}
[IEEE MOST '23] FollowMe: A Robust Framework for the Guidance of Sensorless Indoor Mobile Robots
Sanjith Udupa, Liangkai Liu, Weisong Shi
IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)
@inproceedings{udupa2023followme,title={FollowMe: A Robust Framework for the Guidance of Sensorless Indoor Mobile Robots},author={Udupa, Sanjith and Liu, Liangkai and Shi, Weisong},booktitle={IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)},pages={34--43},year={2023},organization={IEEE}}
[IEEE MOST '23] SLAM Sharing Among Heterogeneous Sensors
Ren Zhong, Liangkai Liu, Weisong Shi
IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)
@inproceedings{zhong2023slam,title={SLAM Sharing Among Heterogeneous Sensors},author={Zhong, Ren and Liu, Liangkai and Shi, Weisong},booktitle={IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)},pages={167--176},year={2023},organization={IEEE}}
[MLBench '22] Understanding Time Variations of DNN Inference in Autonomous Driving
@article{liu2022understanding,title={Understanding Time Variations of DNN Inference in Autonomous Driving},author={Liu, Liangkai and Wang, Yanzhi and Shi, Weisong},journal={arXiv preprint arXiv:2209.05487},year={2022}}
[IEEE WCM '21] 4C: A Computation, Communication, and Control Co-Design Framework for CAVs
@article{liu20214c,title={4C: A Computation, Communication, and Control Co-Design Framework for CAVs},author={Liu, Liangkai and Liu, Shaoshan and Shi, Weisong},journal={IEEE Wireless Communications},volume={28},number={4},pages={42--48},year={2021},publisher={IEEE}}
[RA-L '21] Oops! It’s Too Late. Your Autonomous Driving System Needs a Faster Middleware
Tianze Wu, Baofu Wu, Sa Wang, Liangkai Liu, Shaoshan Liu, Yungang Bao, Weisong Shi
@article{wu2021oops,title={Oops! It's Too Late. Your Autonomous Driving System Needs a Faster Middleware},author={Wu, Tianze and Wu, Baofu and Wang, Sa and Liu, Liangkai and Liu, Shaoshan and Bao, Yungang and Shi, Weisong},journal={IEEE Robotics and Automation Letters},volume={6},number={4},pages={7301--7308},year={2021},publisher={IEEE}}
[Comp. Comm. '20] Energy Aware Edge Computing: A Survey
@article{jiang2020energy,title={Energy Aware Edge Computing: A Survey},author={Jiang, Congfeng and Fan, Tiantian and Gao, Honghao and Shi, Weisong and Liu, Liangkai and C{\'e}rin, Christophe and Wan, Jian},journal={Computer Communications},volume={151},pages={556--580},year={2020},publisher={Elsevier}}
[IEEE Access '20] LoPECS: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services
Jie Tang, Shaoshan Liu, Liangkai Liu, Bo Yu, Weisong Shi
@article{tang2020lopecs,title={LoPECS: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services},author={Tang, Jie and Liu, Shaoshan and Liu, Liangkai and Yu, Bo and Shi, Weisong},journal={IEEE Access},volume={8},pages={30467--30479},year={2020},publisher={IEEE}}
[IPDPSW '20] Energy-Efficient Machine Learning on the Edges
Mohit Kumar, Xingzhou Zhang, Liangkai Liu, Yifan Wang, Weisong Shi
IEEE international parallel and distributed processing symposium Workshops (IPDPSW)
@inproceedings{kumar2020energy,title={Energy-Efficient Machine Learning on the Edges},author={Kumar, Mohit and Zhang, Xingzhou and Liu, Liangkai and Wang, Yifan and Shi, Weisong},booktitle={IEEE international parallel and distributed processing symposium Workshops (IPDPSW)},pages={912--921},year={2020},organization={IEEE}}
[HotEdge '20] A Comparison of Communication Mechanisms in Vehicular Edge Computing
Liangkai Liu, Baofu Wu, Weisong Shi
3rd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 20)
@inproceedings{liu2020comparison,title={A Comparison of Communication Mechanisms in Vehicular Edge Computing},author={Liu, Liangkai and Wu, Baofu and Shi, Weisong},booktitle={3rd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 20)},year={2020}}
[MetroCAD '20] Equinox: A Road-Side Edge Computing Experimental Platform for CAVs
Liangkai Liu, Yongtao Yao, Ruijun Wang, Baofu Wu, Weisong Shi
International Conference on Connected and Autonomous Driving (MetroCAD)
@inproceedings{liu2020equinox,title={Equinox: A Road-Side Edge Computing Experimental Platform for CAVs},author={Liu, Liangkai and Yao, Yongtao and Wang, Ruijun and Wu, Baofu and Shi, Weisong},booktitle={International Conference on Connected and Autonomous Driving (MetroCAD)},pages={41--42},year={2020},organization={IEEE}}
[CIC '20] HydraSpace: Computational Data Storage for Autonomous Vehicles
Ruijun Wang, Liangkai Liu, Weisong Shi
IEEE 6th International Conference on Collaboration and Internet Computing (CIC)
@inproceedings{wang2020hydraspace,title={HydraSpace: Computational Data Storage for Autonomous Vehicles},author={Wang, Ruijun and Liu, Liangkai and Shi, Weisong},booktitle={IEEE 6th International Conference on Collaboration and Internet Computing (CIC)},pages={70--77},year={2020},organization={IEEE}}
[ICDCS '19] OpenEI: An Open Framework for Edge Intelligence
@inproceedings{zhang2019openei,title={OpenEI: An Open Framework for Edge Intelligence},author={Zhang, Xingzhou and Wang, Yifan and Lu, Sidi and Liu, Liangkai and Shi, Weisong and others},booktitle={IEEE 39th International Conference on Distributed Computing Systems (ICDCS)},pages={1840--1851},year={2019},organization={IEEE}}
[HotEdge '19] HydraOne: An Indoor Experimental Research and Education Platform for CAVs
Yifan Wang, Liangkai Liu, Xingzhou Zhang, Weisong Shi
2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19)
@inproceedings{wang2019hydraone,title={HydraOne: An Indoor Experimental Research and Education Platform for CAVs},author={Wang, Yifan and Liu, Liangkai and Zhang, Xingzhou and Shi, Weisong},booktitle={2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19)},year={2019}}
[SEC '19] Collaborative Cloud-Edge Computation for Personalized Driving Behavior Modeling
Xingzhou Zhang, Mu Qiao, Liangkai Liu, Yunfei Xu, Weisong Shi
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing
@inproceedings{zhang2019collaborative,title={Collaborative Cloud-Edge Computation for Personalized Driving Behavior Modeling},author={Zhang, Xingzhou and Qiao, Mu and Liu, Liangkai and Xu, Yunfei and Shi, Weisong},booktitle={Proceedings of the 4th ACM/IEEE Symposium on Edge Computing},pages={209--221},year={2019}}
[ICDCS '18] OpenVDAP: An Open Vehicular Data Analytics Platform for CAVs
@inproceedings{zhang2018openvdap,title={OpenVDAP: An Open Vehicular Data Analytics Platform for CAVs},author={Zhang, Qingyang and Wang, Yifan and Zhang, Xingzhou and Liu, Liangkai and Wu, Xiaopei and Shi, Weisong and Zhong, Hong},booktitle={IEEE 38th International Conference on Distributed Computing Systems (ICDCS)},pages={1310--1320},year={2018},organization={IEEE}}