Liangkai Liu

Orcid: 0000-0002-6149-9859

According to our database1, Liangkai Liu authored at least 28 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Fuel Rate Prediction for Heavy-Duty Trucks.
IEEE Trans. Intell. Transp. Syst., August, 2023

Compositional Mixed-Criticality Systems with Multiple Executions and Resource-Budgets Model.
Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium, 2023

SLAM Sharing Among Heterogeneous Sensors.
Proceedings of the IEEE International Conference on Mobility, 2023

FollowMe: A Robust Framework for the Guidance of Sensorless Indoor Mobile Robots.
Proceedings of the IEEE International Conference on Mobility, 2023

An Open Approach to Energy-Efficient Autonomous Mobile Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Understanding Time Variations of DNN Inference in Autonomous Driving.
CoRR, 2022

A Pulse-and-Glide-driven Adaptive Cruise Control System for Electric Vehicle.
CoRR, 2022

Prophet: Realizing a Predictable Real-time Perception Pipeline for Autonomous Vehicles.
Proceedings of the IEEE Real-Time Systems Symposium, 2022

INGR Edge Services and Automation Roadmap - 2022 Edition.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021
4C: A Computation, Communication, and Control Co-Design Framework for CAVs.
IEEE Wirel. Commun., 2021

Oops! It's Too Late. Your Autonomous Driving System Needs a Faster Middleware.
IEEE Robotics Autom. Lett., 2021

Computing Systems for Autonomous Driving: State of the Art and Challenges.
IEEE Internet Things J., 2021

Computing Systems for Autonomous Driving
Springer, ISBN: 978-3-030-81563-9, 2021

2020
Energy aware edge computing: A survey.
Comput. Commun., 2020

LoPECS: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services.
IEEE Access, 2020

Energy-Efficient Machine Learning on the Edges.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

A Comparison of Communication Mechanisms in Vehicular Edge Computing.
Proceedings of the 3rd USENIX Workshop on Hot Topics in Edge Computing, 2020

HydraSpace: Computational Data Storage for Autonomous Vehicles.
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020

2019
Edge Computing for Autonomous Driving: Opportunities and Challenges.
Proc. IEEE, 2019

OpenEI: An Open Framework for Edge Intelligence.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

HydraOne: An Indoor Experimental Research and Education Platform for CAVs.
Proceedings of the 2nd USENIX Workshop on Hot Topics in Edge Computing, 2019

Collaborative cloud-edge computation for personalized driving behavior modeling.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

E2M: an energy-efficient middleware for computer vision applications on autonomous mobile robots.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

AutoVAPS: an IoT-enabled public safety service on vehicles.
Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering, 2019

2018
An Optimization Algorithm to Build Low Congestion Multi-Ring Topology for Optical Network-on-Chip.
IEICE Trans. Inf. Syst., 2018

OpenVDAP: An Open Vehicular Data Analytics Platform for CAVs.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

SafeShareRide: Edge-Based Attack Detection in Ridesharing Services.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

2016
Flow Driven Energy-Aware Routing Algorithm in Data Center Network.
Proceedings of the 17th International Conference on Parallel and Distributed Computing, 2016


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