Kexin Li

Orcid: 0000-0003-3511-2582

Affiliations:
  • University of Electronic Science and Technology of China (UESTC), Laboratory of Intelligent Collaborative Computing, Chengdu, China
  • Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, College of Computer Science and Engineering, Shenyang, China (PhD 2023)


According to our database1, Kexin Li authored at least 15 papers between 2017 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
A survey on fault diagnosis algorithms for high-speed train bearings.
Computing, September, 2025

Task Prioritization in Multiagent Environments: A Novel Approach Using Nash Q-Learning.
IEEE Trans. Consumer Electron., May, 2025

Low-Cost Data Offloading Strategy With Deep Reinforcement Learning for Internet of Things.
IEEE Trans. Serv. Comput., 2025

2024
Computation Offloading in Resource-Constrained Multi-Access Edge Computing.
IEEE Trans. Mob. Comput., November, 2024

2023
VARF: An Incentive Mechanism of Cross-Silo Federated Learning in MEC.
IEEE Internet Things J., September, 2023

Computation Offloading for Tasks With Bound Constraints in Multiaccess Edge Computing.
IEEE Internet Things J., September, 2023

Task Computation Offloading for Multi-Access Edge Computing via Attention Communication Deep Reinforcement Learning.
IEEE Trans. Serv. Comput., 2023

AttentionFunc: Balancing FaaS Compute across Edge-Cloud Continuum with Reinforcement Learning.
Proceedings of the 13th International Conference on the Internet of Things, 2023

2022
A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality.
Swarm Evol. Comput., 2022

Cooperative Multiagent Deep Reinforcement Learning for Computation Offloading: A Mobile Network Operator Perspective.
IEEE Internet Things J., 2022

Entropy-based Reinforcement Learning for computation offloading service in software-defined multi-access edge computing.
Future Gener. Comput. Syst., 2022

Experience-based Computation Offloading by Deep Reinforcement Learning for Multi-access Edge Computing Network.
Proceedings of the 10th International Conference on Computer and Communications Management, 2022

2020
Design and Implementation of Network-Aware VNF Migration Mechanism.
IEEE Access, 2020

2018
Self-paced learning with identification refinement for SPOC student grading.
Proceedings of ACM Turing Celebration Conference - China, 2018

2017
Matrix completion for SPOC student peer-grading evaluation.
Proceedings of the ACM Turing 50th Celebration Conference, 2017


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