Reinforcement-Learning-Based Optimization for Content Delivery Policy in Cache-Enabled HetNets. - Zhaojun Nan; Yunjian Jia; Zhengchuan Chen; Liang Liang 002 (GLOBECOM, 2019)

D2D Computation Offloading Optimization for Precedence-Constrained Tasks in Information-Centric IoT. - Jindou Xie; Yunjian Jia; Zhengchuan Chen; Zhaojun Nan; Liang Liang 002 (IEEE Access, 2019)

Delay-Aware Content Delivery With Deep Reinforcement Learning in Internet of Vehicles. - Zhaojun Nan; Yunjian Jia; Zhi Ren 001; Zhengchuan Chen; Liang Liang 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Enhanced Sliding Window Superposition Coding for Industrial Automation. - Bohang Zhang; Zhaojun Nan; Sheng Zhou 001; Zhisheng Niu (IWCMC, 2023)

V2V-Assisted Timely Hierarchical Federated Learning. - Jintao Yan; Zhaojun Nan; Sheng Zhou 001 (SPAWC, 2023)

Optimizing Task-Specific Timeliness With Edge-Assisted Scheduling for Status Update. - Jingzhou Sun; Lehan Wang; Zhaojun Nan; Yuxuan Sun 001; Sheng Zhou 001; Zhisheng Niu (IEEE J. Sel. Areas Inf. Theory, 2023)

Joint Task Offloading and Resource Allocation for Vehicular Edge Computing With Result Feedback Delay. - Zhaojun Nan; Sheng Zhou 001; Yunjian Jia; Zhisheng Niu (IEEE Trans. Wirel. Commun., 2023)

Delay Optimization of Coded Computing With Hierarchical Task Partitioning. - Qicheng Zeng; Zhaojun Nan; Sheng Zhou 001 (IEEE Commun. Lett., 2023)

RSU-Aided Energy-Efficient Collaborative Perception for Connected Autonomous Vehicles. - Minh David Thao Chan; Zhaojun Nan; Yukuan Jia; Sheng Zhou 001; Zhisheng Niu (WCNC, 2024)

CPU-Utilization-Aware Scheduling for In-Vehicle Distributed Computing. - Jintao Yan; Yunchu Han; Zhaojun Nan; Sheng Zhou 001 (WCNC, 2024)

Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning. - Jintao Yan; Tan Chen 003; Yuxuan Sun 001; Zhaojun Nan; Sheng Zhou 001; Zhisheng Niu (CoRR, 2024)

C-MASS: Combinatorial Mobility-Aware Sensor Scheduling for Collaborative Perception with Second-Order Topology Approximation. - Yukuan Jia; Yuxuan Sun 001; Ruiqing Mao; Zhaojun Nan; Sheng Zhou 001; Zhisheng Niu (CoRR, 2024)

Adaptive Privacy-Preserving Coded Computing with Hierarchical Task Partitioning. - Qicheng Zeng; Zhaojun Nan; Sheng Zhou 001 (Entropy, 2024)

Task-Oriented Wireless Communications for Collaborative Perception in Intelligent Unmanned Systems. - Sheng Zhou 001; Yukuan Jia; Ruiqing Mao; Zhaojun Nan; Yuxuan Sun 001; Zhisheng Niu (IEEE Netw., 2024)

DVFS-Aware DNN Inference on GPUs: Latency Modeling and Performance Analysis. - Yunchu Han; Zhaojun Nan; Sheng Zhou 001; Zhisheng Niu (ICC, 2025)

DiffCP: Ultra-Low Bit Collaborative Perception via Diffusion Model. - Ruiqing Mao; Haotian Wu; Yukuan Jia; Zhaojun Nan; Yuxuan Sun 001; Sheng Zhou 001; Deniz Gündüz; Zhisheng Niu (ICRA, 2025)

On the Impact of Mobility in Asynchronous Federated Learning over Device-to-Device Networks. - Jintao Yan; Tan Chen 003; Yuxuan Sun 001; Zhaojun Nan; Sheng Zhou 001; Zhisheng Niu (INFOCOM WKSHPS, 2025)

Robust DNN Partitioning and Resource Allocation Under Uncertain Inference Time. - Zhaojun Nan; Yunchu Han; Sheng Zhou 001; Zhisheng Niu (CoRR, 2025)

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification. - Jintao Yan; Tan Chen 003; Yuxuan Sun 001; Zhaojun Nan; Sheng Zhou 001; Zhisheng Niu (CoRR, 2025)

Robust Task Offloading and Resource Allocation Under Imperfect Computing Capacity Information in Edge Intelligence Systems. - Zhaojun Nan; Yunchu Han; Jintao Yan; Sheng Zhou 001; Zhisheng Niu (IEEE Trans. Mob. Comput., 2025)

Joint Memory Frequency and Computing Frequency Scaling for Energy-efficient DNN Inference. - Yunchu Han; Zhaojun Nan; Sheng Zhou 001; Zhisheng Niu (CoRR, 2025)