Liangkai Liu (刘良凯)

liangkai@umich.edu

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I am currently a Research Fellow working with Prof. Kang G. Shin (ACM/IEEE Fellow) in the Real-Time Computing Laboratory in the Computer Science and Engineering Department at The University of Michigan. My research is primarily at the intersection of Autonomous Driving and Computing Systems, focusing on building safe, predictable, and energy-efficient cyber-physical systems for autonomous vehicles and autonomous mobile robots.

Before that, I got my Ph.D. degree in computer science from Wayne State University in May 2023, supervised by Prof. Weisong Shi (IEEE Fellow). I have collaborated with researchers from Argonne National Laboratory, IBM Research, MIT Lincoln Laboratory, Inceptio, and Autoware.

Links: CV | Research Statement | Teaching Statement.

Research Overview

news

Feb 09, 2025 Invited to serve as the Publication Chair for SEC 2025.
Jan 05, 2025 Invited to serve as TPC for MOST 2025.
Aug 01, 2024 NSF CNS has awarded our project “Predictable Multi-Tenant DNN Inference for Autonomous Driving (CNS-2343601)”. Thanks, NSF!
Jul 31, 2024 RT-BEV gets accepted by RTSS 2024!
Jun 20, 2024 AyE-Edge gets accepted by ICCAD 2024!
Feb 20, 2024 LOTUS gets accepted by DAC 2024!
Dec 15, 2023 Congratulations to Sanjith Udupa, my summer intern student, for being admitted to the class of 2028 at MIT!
Dec 03, 2023 Invited to serve as the the Web Chair for MobiCom 2024.
May 01, 2023 FEAD gets accepted by IEEE Transactions on Intelligent Transportation Systems!
Mar 01, 2023 Donkey gets accepted by ICRA 2023!
Dec 01, 2022 Prophet gets accepted by RTSS 2022!
Jun 01, 2022 Our book Computing Systems for Autonomous Driving has been published and is accessible online.!

selected publications

(* represents co-first author)

  1. RTSS
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    RT-BEV: Enhancing Real-Time BEV Perception for Autonomous Vehicles
    Liangkai Liu, Jinkyu Lee, and Kang G. Shin
    In 45th IEEE Real-Time Systems Symposium , 2024.
  2. ICCAD
    AyE-edge-arch.drawio.png
    AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge
    Liangkai Liu*, Chao Wu*, Yifan Gong* , and 7 more authors
    In International Conference on Computer-Aided Design (ICCAD) , 2024.
  3. ICRA
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    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.
  4. IEEE TITS
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    Fuel Rate Prediction for Heavy-Duty Trucks
    Liangkai Liu, Wei Li, Dawei Wang , and 3 more authors
    IEEE Transactions on Intelligent Transportation Systems, 2023.
  5. RTSS
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    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.
  6. Springer
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    Computing Systems for Autonomous Driving
    Weisong Shi, and Liangkai Liu
    2021.
  7. IoTJ
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    Computing Systems for Autonomous Driving: State of the Art and Challenges
    Liangkai Liu, Sidi Lu, Ren Zhong , and 4 more authors
    IEEE Internet of Things Journal, 2020.
  8. PIEEE
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    Edge Computing for Autonomous Driving: Opportunities and Challenges
    Shaoshan Liu, Liangkai Liu, Jie Tang , and 3 more authors
    Proceedings of the IEEE, 2019.
  9. SEC
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    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.
  10. SEC
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    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.
  11. HotEdge
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    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.