发表论文

1. Hui Huang, Qiang. Ye*, and Yitong Zhou. Safety-critical offloading with constrained reinforcement learning for multi-access edge computing, ACM Transactions on Sensor Network (TOSN), 2024.(Accepted，CCF-B.)

2. Hui Huang, Qiang Ye*, Yitong Zhou. 6G-Empowered offloading for realtime applications in multi-access edge computing. IEEE Transactions on Network Science and Engineering (TNSE),2022.(SCI, IF: 5.033, WOS: 1区; JCR: Q1; 中科院: 二区)

3. Hui Huang, Qiang Ye*, Yitong Zhou. Deadline-aware task offloading with partially-observable deep reinforcement learning for multi-access edge computing. IEEE Transactions on Network Science and Engineering (TNSE),  2021.(SCI, IF: 5.033, WOS: 1区; JCR: Q1; 中科院: 二区)

4. Hui Huang, Man Lin*, Laurence T. Yang, Qingchen Zhang. Autonomous power management with double-q reinforcement learning method. IEEE Transactions on Industrial Informatics (TII), 2020.(SCI, IF: 11.64, WOS: 1区; JCR: Q1; 中科院: 一区)

5. Hui Huang, Qiang Ye*, Hongwei Du. Reinforcement learning based offloading for real-time applications in mobile edge computing. IEEE Communication Conference (ICC), 2020.(CCF-C)

6. Hui Huang, Man Lin*, Qingchen Zhang. Double-Q learning-based DVFS for multi-core real-time systems. IEEE Green Computing Conference, 2017.

7. Yitong Zhou, Qiang Ye*, Hui Huang, Hongwei Du. DAS: A DRL-Based Scheme for Workload Allocation and Worker Selection in Distributed Coded Machine Learning. IEEE Internet of Things Journal (IoTJ), 2024.

8. Haotian Liu, Shi-Yun Wang, Hui Huang, Qiang Ye*. On the placement of edge servers in mobile edge computing. IEEE Computing, Networking and Communications Conference (ICNC), 2023.

9. Yitong Zhou, Qiang Ye*, Hui Huang, Hongwei Du. Deep reinforcement learning based admission control for throughput maximization in mobile edge computing. IEEE Vehicular Technology Conference (VTC), 2021.

  10. Yitong. Zhou, Qiang. Ye*, Hui. Huang, DRL-Based Workload Allocation for Distributed Coded Machine Learning. IEEE Communication Conf

  erence (ICC), 2023.