About Me

I am currently an Associate Professor at Nanjing University of Science and Technology, Nanjing, China. I received my Ph.D. degree in Computer Science from Nanjing University, Nanjing, China, in 2023. My research interests lie in edge intelligence, deep reinforcement learning, machine learning training and inference, federated learning, and serverless computing. I have published more than 20 papers in top journals and conferences, including IEEE Transactions on Mobile Computing, IEEE Transactions on Computers, IEEE Transactions on Services Computing, IEEE Transactions on Communications, and IEEE CVPR. I received the Best Paper Award at IEEE ICITES 2024.

Research Interests

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Selected Publications

Full list can be found on the Publications Page or Google Scholar.

2026

[TMC] Yue Zeng, Jie Zhang, Song Guo, Baoliu Ye, Zhaihao Qu, Zicong Hong, Bin Tang, Jinyu Chen, Junlong Zhou, Jiaying Yu, “AFedLF: Adaptive Layer Freezing of Foundation Models in Heterogeneous Federated Learning”, IEEE Transactions on Mobile Computing, vol. 25, no. 4, pp. 5666-5682, 2026.

2025

[TMC] Yue Zeng, Baoliu Ye, Zhihao Qu, Song Guo, Tianjian Gong, Pan Li, “ExpertDRL: Request Dispatching and Instance Configuration for Serverless Edge Inference with Foundation Models”, IEEE Transactions on Mobile Computing, vol. 24, no. 9, pp. 8089-8104, 2025.

[TMC] Hengrui Cui, Zhihao Qu, Baoliu Ye, Bin Tang, Xinyu Wang and Yue Zeng, “Lightweight Adaptive Quantization Algorithms for Federated Learning with Heterogeneous Clients”, IEEE Transactions on Mobile Computing, vol. 25, no. 3, pp. 4409-4424, 2025.

[TC] Junpeng Ke, Junlong Zhou, Dan Meng, Yue Zeng, Xiangmou Qu, Song Guo, “JCSRC: Joint Client Selection and Resource Configuration for Energy-Efficient Multi-Task Federated Learning”, IEEE Transactions on Computers, vol. 74, no. 12, pp. 4094-4108, 2025.

[TSC] Junlong Zhou, Xiangpeng Hou, Yue Zeng, Peijin Cong, Weiming Jiang, Song Guo, “Quality of Experience and Reliability-Aware Task Offloading and Scheduling for Multi-User Mobile-Edge Computing Systems”, IEEE Transactions on Services Computing, vol. 18, no. 3, pp. 1683-1696, 2025. (ESI Highly Cited Paper)

[DATE] Yizhou Shi, Liying Li, Yue Zeng, Peijin Cong, and Junlong Zhou. “Joint DNN Partition and Thread Allocation Optimization for Energy-Harvesting MEC Systems”, IEEE/ACM Design, Automation & Test in Europe Conference, pp. 1-7, 2025.

2024

[TC] Yue Zeng, Zhihao Qu, Song Guo, Baoliu Ye, Jie Zhang, Jing Li, Bin Tang, “SafeDRL: Dynamic Microservice Provisioning with Reliability and Latency Guarantees,” IEEE Transactions on Computers, vol. 73, no. 1, pp. 235-248, 2024.

[TMC] Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Yue Zeng, Baoliu Ye, and Xiaohua Jia, “Digital Twin-Enabled Service Provisioning in Edge Computing via Continual Learning,” IEEE Transactions on Mobile Computing (TMC), vol. 23, no. 6, pp. 7335-7350, 2024.

[ICITES] Linhui Wang, Liying Li, Yue Zeng, Peijin Cong, Junlong Zhou, “ERSCHED: An Efficient and Reliable Scheduler for Workflows in Multi-Edge Systems,” International Conference on Intelligent Technology and Embedded Systems, pp. 185-194, 2024. (Best Paper Award)

2023

[TSC] Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, Jie Zhang, “RuleDRL: Reliability-Aware SFC Provisioning with Bounded Approximations in Dynamic Environments,” IEEE Transactions on Services Computing (TSC), vol. 16, no. 5, pp. 3651-3664, 2023.

[TCOM] Yue Zeng, Baoliu Ye, Bin Tang, Sanglu Lu, Feng Xu, Song Guo, and Zhihao Qu, “Mobility-aware Proactive Flow Setup in Software-Defined Mobile Edge Networks,” IEEE Transactions on Communications (TCOM), vol. 71 no. 3, pp. 1549-1563, 2023.

[CVPR] Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo, “(ML)2P-Encoder: On Exploration of Channel-class Correlation for Multi-label Zero-shot Learning,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 23859-23868, 2023.

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