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ORCIDKexin Li 0003
Person information
- affiliation: University of Electronic Science and Technology of China (UESTC), Laboratory of Intelligent Collaborative Computing, Chengdu, China
- affiliation (PhD 2023): Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, College of Computer Science and Engineering, Shenyang, China
Other persons with the same name
- Kexin Li (aka: Ke-Xin Li) — disambiguation page
- Kexin Li 0001
![[0000-0002-2337-2427]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-2337-2427")
(aka: Ke-Xin Li 0001) — Xidian University, Hangzhou Institute of Technology, Xi'an, China - Kexin Li 0002 (aka: Ke-Xin Li 0002) — Huawei Technologies Company Ltd., Hangzhou, China (and 2 more)
- Kexin Li 0004 — Arizona State University, School of Electrical, Computer and Energy Engineering, AZ, USA (and 3 more)
- Kexin Li 0005 — Yunnan University of Finance and Economics, School of Statistics and Mathematics, Kunming, China (and 1 more)
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2020 – today
- 2026
[j13]Xijia Lu, Xingwei Wang, Qiang He, Xue Wang, Wenlin Cheng, Kexin Li, Praveen Kumar Donta, Keping Yu, Min Huang:
A Lightweight Reinforcement Learning-Based Congestion-Aware Scheduling Framework for Blockchain-Enabled Multi-Access Edge Computing. IEEE Trans. Consumer Electron. 72(2): 4396-4406 (2026)- [j12]Haojie Bai, Aiguo Chen, Yijia Rong, Jiaxin Liu, Kexin Li, Schahram Dustdar:
MccTTA: A Memory-Efficient Collaborative Continual Test-Time Adaptation Framework for Edge Devices. IEEE Trans. Serv. Comput. 19(3): 2303-2316 (2026) - 2025
- [j11]Mingzhou Yang, Tongbo Zhang, Haibo Yang, Kexin Li, Praveen Kumar Donta:
A survey on fault diagnosis algorithms for high-speed train bearings. Computing 107(9): 175 (2025) - [j10]Kexin Li, Yu Hu, Jielei Wang, Lin Li, Shuyuan Zhang, Guangchun Luo:
Task Prioritization in Multiagent Environments: A Novel Approach Using Nash Q-Learning. IEEE Trans. Consumer Electron. 71(2): 4206-4220 (2025) - [j9]Qiang He, Zheng Feng, Zhixue Chen, Tianhang Nan, Kexin Li, Huiming Shen, Keping Yu, Xingwei Wang:
Low-Cost Data Offloading Strategy With Deep Reinforcement Learning for Internet of Things. IEEE Trans. Serv. Comput. 18(3): 1543-1556 (2025) - [c5]Jielei Wang, Zihan Cheng, Guoming Lu, Kexin Li, Guangchun Luo:
MRKD: Monotonic Relationship-based Knowledge Distillation for SAR Image Recognition. ICME 2025: 1-6 - 2024
- [j8]Kexin Li, Xingwei Wang, Qiang He, Jielei Wang, Jie Li, Siyu Zhan, Guoming Lu, Schahram Dustdar:
Computation Offloading in Resource-Constrained Multi-Access Edge Computing. IEEE Trans. Mob. Comput. 23(11): 10665-10677 (2024) - 2023
- [j7]Ying Li, Xingwei Wang, Rongfei Zeng, Mingzhou Yang, Kexin Li, Min Huang, Schahram Dustdar:
VARF: An Incentive Mechanism of Cross-Silo Federated Learning in MEC. IEEE Internet Things J. 10(17): 15115-15132 (2023) - [j6]Kexin Li, Xingwei Wang, Qiang He, Qiang Ni, Mingzhou Yang, Schahram Dustdar:
Computation Offloading for Tasks With Bound Constraints in Multiaccess Edge Computing. IEEE Internet Things J. 10(17): 15526-15536 (2023) - [j5]Kexin Li, Xingwei Wang, Qiang He, Mingzhou Yang, Min Huang, Schahram Dustdar:
Task Computation Offloading for Multi-Access Edge Computing via Attention Communication Deep Reinforcement Learning. IEEE Trans. Serv. Comput. 16(4): 2985-2999 (2023) - [c4]Kexin Li, Stefan Nastic:
AttentionFunc: Balancing FaaS Compute across Edge-Cloud Continuum with Reinforcement Learning. IoT 2023: 25-32 - 2022
- [j4]Kexin Li, Xingwei Wang, Qiang Ni, Min Huang:
Entropy-based Reinforcement Learning for computation offloading service in software-defined multi-access edge computing. Future Gener. Comput. Syst. 136: 241-251 (2022) - [j3]Kexin Li, Xingwei Wang, Qiang He, Bo Yi, Andrea Morichetta, Min Huang:
Cooperative Multiagent Deep Reinforcement Learning for Computation Offloading: A Mobile Network Operator Perspective. IEEE Internet Things J. 9(23): 24161-24173 (2022) - [j2]Mingzhou Yang, Xingwei Wang, Lianbo Ma, Qiang He, Kexin Li, Min Huang:
A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality. Swarm Evol. Comput. 69: 101042 (2022) - [c3]Kexin Li, Xingwei Wang, Bo Yi:
Experience-based Computation Offloading by Deep Reinforcement Learning for Multi-access Edge Computing Network. ICCCM 2022: 1-8 - 2020
- [j1]Bo Yi, Xingwei Wang, Min Huang, Kexin Li:
Design and Implementation of Network-Aware VNF Migration Mechanism. IEEE Access 8: 44346-44358 (2020)
2010 – 2019
- 2018
- [c2]Kexin Li, Bin Xu, Kening Gao, Dan Yang, Mo Chen:
Self-paced learning with identification refinement for SPOC student grading. TURC 2018: 79-84 - 2017
- [c1]Bin Xu, Kexin Li, Kening Gao, Changkuan Zhao, Ge Yu, Jinshuang Li:
Matrix completion for SPOC student peer-grading evaluation. ACM TUR-C 2017: 8:1-8:6
Coauthor Index
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