Liangkai Liu is currently a Research Fellow working with Prof. Kang G. Shin in the Real-Time Computing Laboratory in the Computer Science and Engineering Department at The University of Michigan. His research is primarily at the intersection of Autonomous Driving and Computing Systems, focusing on building safe, predictable, and energy-efficient machine learning systems for autonomous vehicles and autonomous mobile robots.
Before that, he received his Ph.D. degree in computer science from Wayne State University in May 2023, supervised by Prof. Weisong Shi. He has collaborated/worked with researchers from Argonne National Laboratory, IBM Research, MIT Lincoln Laboratory, Inceptio, and Autoware.
@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}}
MLBench
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.}}
IoTJ
Computing Systems for Autonomous Driving: State of the Art and Challenges
Liangkai Liu, Sidi Lu, Ren Zhong , and 4 more authors
@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}}
