Liming Ge

Orcid: 0000-0002-6508-6787

According to our database1, Liming Ge authored at least 16 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Joint Video Denoising and Super-Resolution Network for IoT Cameras.
IEEE Internet Things J., September, 2024

Robust Federated Unlearning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Dynamic path learning in decision trees using contextual bandits.
World Wide Web (WWW), January, 2023

ASRSR: Adaptive Sending Resolution and Super-resolution for Real-time Video Streaming.
Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks, 2023

Real-time Night Surveillance Video Retrieval through Calibrated Denoising and Super-resolution.
Proceedings of the International Joint Conference on Neural Networks, 2023

Online Task Assignment with Controllable Processing Time.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Real-EVE: Real-Time Edge-Assist Video Enhancement for Joint Denoising and Super-Resolution.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Edge-assisted deep video denoising and super-resolution for real-time surveillance at night.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Semi-Online Multi-Machine with Restart Scheduling for Integrated Edge and Cloud Computing Systems.
Proceedings of the 51st International Conference on Parallel Processing, 2022

2021
eDeepSave: Saving DNN Inference using Early Exit During Handovers in Mobile Edge Environment.
ACM Trans. Sens. Networks, 2021

Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual Bandits.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning Early Exit for Deep Neural Network Inference on Mobile Devices through Multi-Armed Bandits.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
Accelerating on-device DNN inference during service outage through scheduling early exit.
Comput. Commun., 2020

2019
SEE: Scheduling Early Exit for Mobile DNN Inference during Service Outage.
Proceedings of the 22nd International ACM Conference on Modeling, 2019

DeepSave: saving DNN inference during handovers on the edge.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019


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