I am an assistant professor in Department of Computer Science at Texas Tech University. Previously, I’m a postdoc research fellow in the Real-Time Computing Laboratory at the University of Michigan, working with Prof. Kang G. Shin. I received my Ph.D. in Computer Science from Wayne State University in May 2023, where I was supervised by Prof. Weisong Shi.
Research Focus
My research focuses on building safe, predictable, and energy-efficient ML systems for safety-critical cyber-physical systems (CPS) — from autonomous driving to robotics and beyond. I develop novel cross-layer systems (model/algorithms, middleware system, operating system, etc.) to achieve these goals. I’m particularly interested in:
@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
AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge
Chao Wu*, Yifan Gong*, Liangkai Liu* , and 7 more authors
In International Conference on Computer-Aided Design (ICCAD) , 2024.
@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
An Open Approach to Energy-Efficient Autonomous Mobile Robots
Liangkai Liu, Ren Zhong, Aaron Willcock , and 2 more authors
In IEEE International Conference on Robotics and Automation (ICRA) , 2023.
@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
Fuel Rate Prediction for Heavy-Duty Trucks
Liangkai Liu, Wei Li, Dawei Wang , and 3 more authors
IEEE Transactions on Intelligent Transportation Systems, 2023.
@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
Prophet: Realizing a Predictable Real-Time Perception Pipeline for Autonomous Vehicles
Liangkai Liu, Zheng Dong, Yanzhi Wang , and 1 more author
In IEEE Real-Time Systems Symposium (RTSS) , 2022.
@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}}
@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
Edge Computing for Autonomous Driving: Opportunities and Challenges
Shaoshan Liu, Liangkai Liu, Jie Tang , and 3 more authors
@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
E2M: An Energy-Efficient Middleware for Computer Vision Applications on Autonomous Mobile Robots
Liangkai Liu, Jiamin Chen, Marco Brocanelli , and 1 more author
In Proceedings of the 4th ACM/IEEE Symposium on Edge Computing , 2019.
@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
SafeShareRide: Edge-based Attack Detection in Ridesharing Services
Liangkai Liu, Xingzhou Zhang, Mu Qiao , and 1 more author
In IEEE/ACM Symposium on Edge Computing (SEC) , 2018.
@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
SafeShareRide: Edge-based Attack Detection in Ridesharing Services
Liangkai Liu, Xingzhou Zhang, Mu Qiao , and 1 more author
In USENIX Workshop on Hot Topics in Edge Computing (HotEdge 18) , 2018.
@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}}