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Liming Ge
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2020 – today
- 2024
- [j4]Liming Ge, Wei Bao, Xinyi Sheng, Dong Yuan, Bing Bing Zhou, Zhiyong Wang:
Joint Video Denoising and Super-Resolution Network for IoT Cameras. IEEE Internet Things J. 11(17): 28526-28538 (2024) - [c12]Xinyi Sheng, Wei Bao, Liming Ge:
Robust Federated Unlearning. CIKM 2024: 2034-2044 - 2023
- [j3]Weiyu Ju, Dong Yuan, Wei Bao, Liming Ge, Bing Bing Zhou:
Dynamic path learning in decision trees using contextual bandits. World Wide Web (WWW) 26(1): 271-296 (2023) - [c11]Liming Ge, David Zhaochen Jiang, Wei Bao:
3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video. AI (1) 2023: 165-177 - [c10]Liming Ge, Wei Bao, Dong Yuan, Bing Bing Zhou:
Real-EVE: Real-Time Edge-Assist Video Enhancement for Joint Denoising and Super-Resolution. ICA3PP (1) 2023: 320-339 - [c9]Ruoyu Wu, Wei Bao, Liming Ge:
Online Task Assignment with Controllable Processing Time. IJCAI 2023: 5466-5474 - [c8]Liming Ge, Wei Bao, Xinyi Sheng, Dong Yuan, Bing Bing Zhou:
Real-time Night Surveillance Video Retrieval through Calibrated Denoising and Super-resolution. IJCNN 2023: 1-10 - [c7]Ruoyu Wu, Wei Bao, Liming Ge, Bing Bing Zhou:
ASRSR: Adaptive Sending Resolution and Super-resolution for Real-time Video Streaming. Q2SWinet 2023: 61-68 - [i1]Ruoyu Wu, Wei Bao, Liming Ge:
Online Task Assignment with Controllable Processing Time. CoRR abs/2305.04453 (2023) - 2022
- [c6]Liming Ge, Zizhao Wang, Wei Bao, Dong Yuan, Nguyen Hoang Tran, Bing Bing Zhou, Albert Y. Zomaya:
Semi-Online Multi-Machine with Restart Scheduling for Integrated Edge and Cloud Computing Systems. ICPP 2022: 70:1-70:13 - [c5]Liming Ge, Wei Bao, Dong Yuan, Bing Bing Zhou:
Edge-assisted deep video denoising and super-resolution for real-time surveillance at night. MobiCom 2022: 783-785 - 2021
- [j2]Weiyu Ju, Dong Yuan, Wei Bao, Liming Ge, Bing Bing Zhou:
eDeepSave: Saving DNN Inference using Early Exit During Handovers in Mobile Edge Environment. ACM Trans. Sens. Networks 17(3): 30:1-30:28 (2021) - [c4]Weiyu Ju, Wei Bao, Dong Yuan, Liming Ge, Bing Bing Zhou:
Learning Early Exit for Deep Neural Network Inference on Mobile Devices through Multi-Armed Bandits. CCGRID 2021: 11-20 - [c3]Weiyu Ju, Wei Bao, Liming Ge, Dong Yuan:
Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual Bandits. CIKM 2021: 823-832 - 2020
- [j1]Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen Hoang Tran, Albert Y. Zomaya:
Accelerating on-device DNN inference during service outage through scheduling early exit. Comput. Commun. 162: 69-82 (2020)
2010 – 2019
- 2019
- [c2]Weiyu Ju, Dong Yuan, Wei Bao, Liming Ge, Bing Bing Zhou:
DeepSave: saving DNN inference during handovers on the edge. SEC 2019: 166-178 - [c1]Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen Hoang Tran, Albert Y. Zomaya:
SEE: Scheduling Early Exit for Mobile DNN Inference during Service Outage. MSWiM 2019: 279-288
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last updated on 2024-12-02 21:27 CET by the dblp team
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