A Q-learning based Method for Energy-Efficient Computation Offloading in Mobile Edge Computing. - Kai Jiang 006; Huan Zhou 002; Dawei Li 002; Xuxun Liu 001; Shouzhi Xu (ICCCN, 2020)

Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet of Vehicles. - Kai Jiang 006; Huan Zhou 002; Deze Zeng; Jie Wu 001 (MASS, 2020)

Mobile Edge Computing for Ultra-Reliable and Low-Latency Communications. - Kai Jiang 006; Huan Zhou 002; Xin Chen 031; Haijun Zhang 001 (IEEE Commun. Stand. Mag., 2021)

Intelligence-Empowered Mobile Edge Computing: Framework, Issues, Implementation, and Outlook. - Kai Jiang 006; Chuan Sun; Huan Zhou 002; Xiuhua Li; Mianxiong Dong; Victor C. M. Leung (IEEE Netw., 2021)

DDPG-based Computation Offloading and Service Caching in Mobile Edge Computing. - Lingxiao Chen; Guoqiang Gong; Kai Jiang 006; Huan Zhou 002; Rui Chen 031 (INFOCOM Workshops, 2022)

SAC-based Computation Offloading and Resource Allocation in Vehicular Edge Computing. - Yanlang Zheng; Huan Zhou 002; Rui Chen 031; Kai Jiang 006; Yue Cao 002 (INFOCOM Workshops, 2022)

Energy-Efficient Dependency-Aware Task Offloading in Mobile Edge Computing: A Digital Twin Empowered Approach. - Huan Zhou 002; Lingxiao Chen; Kai Jiang 006; Yuan Wu 001 (iSCI, 2022)

Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing. - Huan Zhou 002; Kai Jiang 006; Xuxun Liu 001; Xiuhua Li; Victor C. M. Leung (IEEE Internet Things J., 2022)

A3C-Based and Dependency-Aware Computation Offloading and Service Caching in Digital Twin Edge Networks. - Lingxiao Chen; Qiangqiang Gu 002; Kai Jiang 006; Liang Zhao 014 (IEEE Access, 2023)

STALB: A Spatio-Temporal Domain Autonomous Load Balancing Routing Protocol. - Yujie Song; Kai Jiang 006; Yue Cao 002; Ruiting Zhou; Chakkaphong Suthaputchakun; Yuan Zhuang 001 (IEEE Trans. Netw. Serv. Manag., 2023)

MP-VRCR: A Multi-Dimension and Priority-Based Vehicle-Road Collaborative Routing Protocol. - Yujie Song; Yue Cao 002; Kai Jiang 006; Yuqing Li; Yuping Lai; Lixin Wang (IEEE Trans. Veh. Technol., 2023)

Distributed Deep Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet-of-Vehicles. - Huan Zhou 002; Kai Jiang 006; Shibo He; Geyong Min; Jie Wu 001 (IEEE Trans. Wirel. Commun., 2023)

Poster: Stackelberg Game-based Model Partition and Resource Allocation in Split Federated Learning. - Jiaxin Xiong; Huan Zhou 002; Kai Jiang 006; Liang Zhao 014; Victor C. M. Leung (SenSys, 2024)

Adaptive Dynamic Programming for Multi-Driver Order Dispatching at Large-Scale. - Kai Jiang 006; Yue Cao 002; Huan Zhou 002; Jie Wu 001; Zhao Zhang 014; Zhi Liu 002 (IEEE Trans. Cogn. Commun. Netw., 2024)

Asynchronous Federated and Reinforcement Learning for Mobility-Aware Edge Caching in IoV. - Kai Jiang 006; Yue Cao 002; Yujie Song; Huan Zhou 002; Shaohua Wan 001; Xu Zhang 016 (IEEE Internet Things J., 2024)

Reinforcement Learning for Digital Twin Empowered Ride-Sharing System Optimization. - Kai Jiang 006; Yue Cao 002; Zhenning Wang; Huan Zhou 002; Hong Zhu; Zhi Liu 002; Lexi Xu (IEEE Netw., 2025)

When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives. - Zhenning Wang; Yue Cao 002; Kai Jiang 006; Huan Zhou 002; Jiawen Kang 001; Yuan Zhuang 001; Daxin Tian; Victor C. M. Leung (IEEE Commun. Surv. Tutorials, 2025)