Publications

This list includes 11 published papers and 3 accepted papers. Accepted papers are listed separately from formally published articles. [Google Scholar]

Accepted Papers

[TCC · Accepted] Hui Huang, Yitong Zhou, Qiang Ye. “Real-Time Task Offloading With Task-Level Multi-Agent Transformer in Heterogeneous Multi-Access Edge Computing.” IEEE Transactions on Cloud Computing. Accepted on 2026-10-01.
[GLOBECOM · Accepted] Liang Xu, Hui Huang, Jie Hou, Shiquan Lin. “Diversity-Driven Multi-Expert Deep Reinforcement Learning for Adaptive Mobile Edge Computing.” IEEE GLOBECOM 2026 · Selected Areas in Communications: Cloud/Edge Computing and Networking. Accepted on 2026-07-31.
[BIBM · Accepted] Shiquan Lin, Hui Huang, Qian Fang. “PUUP: Descriptor-Guided Update Prioritization for Multimodal Federated Parkinson's Disease Classification.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2026. Accepted.

Journal Papers

[TOSN'25] Hui Huang, Qiang Ye, Yitong Zhou. “Safety-Critical Offloading with Constrained Reinforcement Learning for Multi-access Edge Computing.” ACM Transactions on Sensor Networks, vol. 21, no. 2, pp. 1–37, 2025. [DOI]
[TNSE'23] Hui Huang, Qiang Ye, Yitong Zhou. “6G-Empowered Offloading for Realtime Applications in Multi-Access Edge Computing.” IEEE Transactions on Network Science and Engineering, vol. 10, no. 3, pp. 1311–1325, 2023. [DOI]First published online in 2022; issue year 2023.
[TNSE'22] 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, vol. 9, no. 6, pp. 3870–3885, 2022. [DOI]First published online in 2021; issue year 2022.
[TII'20] Hui Huang, Man Lin, Laurence T. Yang, Qingchen Zhang. “Autonomous Power Management With Double-Q Reinforcement Learning Method.” IEEE Transactions on Industrial Informatics, vol. 16, no. 3, pp. 1938–1946, 2020. [DOI]First published online in 2019; issue year 2020.
[TCCN'26] Yitong Zhou, Qiang Ye, Hui Huang. “Multi-Agent Transformer-Based Workload Allocation and Worker Selection in Distributed Coded Machine Learning.” IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 1368–1381, 2026. [DOI]First published online in 2025; issue year 2026.
[IoT-J'24] Yitong Zhou, Qiang Ye, Hui Huang. “DAS: A DRL-Based Scheme for Workload Allocation and Worker Selection in Distributed Coded Machine Learning.” IEEE Internet of Things Journal, vol. 11, no. 15, pp. 26076–26090, 2024. [DOI]

Conference Papers

[ICC'20] Hui Huang, Qiang Ye, Hongwei Du. “Reinforcement Learning Based Offloading for Realtime Applications in Mobile Edge Computing.” IEEE International Conference on Communications (ICC), pp. 1–6, 2020. [DOI]
[ICC'23] Yitong Zhou, Qiang Ye, Hui Huang. “DRL-Based Workload Allocation for Distributed Coded Machine Learning.” IEEE International Conference on Communications (ICC), pp. 3175–3180, 2023. [DOI]
[GLOBECOM'23] Yutao Xu, Qiang Ye, Yujie Tang, Hui Huang, Kamran Sattar Awaisi. “RLC: A Reinforcement Learning Based Charging Scheme for Battery Swap Stations.” IEEE Global Communications Conference (GLOBECOM), pp. 4176–4181, 2023. [DOI]
[ICNC'23] Haotian Liu, Shiyun Wang, Hui Huang, Qiang Ye. “On the Placement of Edge Servers in Mobile Edge Computing.” International Conference on Computing, Networking and Communications (ICNC), pp. 496–500, 2023. [DOI]
[VTC'21] Yitong Zhou, Qiang Ye, Hui Huang, Hongwei Du. “Deep Reinforcement Learning Based Admission Control for Throughput Maximization in Mobile Edge Computing.” IEEE 94th Vehicular Technology Conference (VTC2021-Fall), pp. 1–6, 2021. [DOI]