个人简介

曾悦，博士，南京理工大学副教授，硕士生导师。博士毕业于南京大学。目前担任中国计算机学会（CCF）分布式计算与系统专业委员会执行委员，CCF嵌入式系统专业委员会执行委员，江苏省计算机学会系统结构专业委员会委员。近年来一直从事边缘智能、联邦学习、大模型训练和推理的研究工作，并作为项目负责人承担了国家自然科学基金、江苏省自然科学基金等项目。截至目前，在 IEEE TC、IEEE TMC、IEEE TSC、IEEE TCOM、CVPR等国际重要期刊和重要会议发表论文三十余篇。

研究方向

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代表性论文

完整论文列表请参见 论文页面 或 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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