Liming Ge

According to our database, Liming Ge authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dynamic path learning in decision trees using contextual bandits.

Weiyu Ju, Dong Yuan, Wei Bao, Liming Ge, Bing Bing Zhou

World Wide Web (WWW), January, 2023

ASRSR: Adaptive Sending Resolution and Super-resolution for Real-time Video Streaming.

Ruoyu Wu, Wei Bao, Liming Ge, Bing Bing Zhou

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.

Liming Ge, Wei Bao, Xinyi Sheng, Dong Yuan, Bing Bing Zhou

Proceedings of the International Joint Conference on Neural Networks, 2023

Online Task Assignment with Controllable Processing Time.

Ruoyu Wu, Wei Bao, Liming Ge

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.

Liming Ge, Wei Bao, Dong Yuan, Bing Bing Zhou

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video.

Liming Ge, David Zhaochen Jiang, Wei Bao

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.

Liming Ge, Wei Bao, Dong Yuan, Bing Bing Zhou

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.

Liming Ge, Zizhao Wang, Wei Bao, Dong Yuan, Nguyen Hoang Tran, Bing Bing Zhou, Albert Y. Zomaya

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

eDeepSave: Saving DNN Inference using Early Exit During Handovers in Mobile Edge Environment.

Weiyu Ju, Dong Yuan, Wei Bao, Liming Ge, Bing Bing Zhou

ACM Trans. Sens. Networks, 2021

Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual Bandits.

Weiyu Ju, Wei Bao, Liming Ge, Dong Yuan

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.

Weiyu Ju, Wei Bao, Dong Yuan, Liming Ge, Bing Bing Zhou

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

Accelerating on-device DNN inference during service outage through scheduling early exit.

Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen Hoang Tran, Albert Y. Zomaya

Comput. Commun., 2020

2019

SEE: Scheduling Early Exit for Mobile DNN Inference during Service Outage.

Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen Hoang Tran, Albert Y. Zomaya

Proceedings of the 22nd International ACM Conference on Modeling, 2019

DeepSave: saving DNN inference during handovers on the edge.

Weiyu Ju, Dong Yuan, Wei Bao, Liming Ge, Bing Bing Zhou

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019