DRL-based Federated Learning Node Selection Algorithm for Mobile Edge Networks. - Yonghua Huo; Chunxiao Song; Jie Zhang; Can Tan (ICAIT, 2022)

Automated bridge surface crack detection and segmentation using computer vision-based deep learning model. - Jian Zhang; Songrong Qian; Can Tan (Eng. Appl. Artif. Intell., 2022)

Self-adaptive and Efficient Training Node Selection for Federated Learning in B5G/6G Edge Network. - Can Tan; Peng Yu 001; Wenjing Li 001; Fanqin Zhou; Ying Wang 002; Siya Xu; Xuesong Qiu 001; Qingbi Zheng; Pei Xiao 001 (NOMS, 2023)

A Knowledge-driven Self-healing Dual-loop and Validation for Autonomous Networks. - Can Tan; Honglin Fang; Junye Zhang; Dahua Lin; Liyan Zhang; Yong Zhang; Peng Yu 001 (APNet, 2024)

Graph Neural Network Enhanced Dynamic Routing for UAV-Assisted Delay Tolerant Network. - Ran Gao; Can Tan; Honglin Fang; Peng Yu 001 (ICCBN, 2024)

Reliable Resource Matching in 6G Computing Power Network for Digital Twin Service. - Shilong Zhao; Junye Zhang; Honglin Fang; Can Tan; Peng Yu 001; Wenjing Li 001 (ICCT, 2024)

Large Language Model Enhanced Autonomous Agents for Proactive Fault-Tolerant Edge Networks. - Honglin Fang; Di Zhang 002; Can Tan; Peng Yu 001; Ying Wang 002; Wenjing Li 001 (INFOCOM (Workshops), 2024)

POSTER: Hybrid-Granularity Network Load balancing for Distributed AI Model Training. - Junye Zhang; Honglin Fang; Can Tan; Peng Yu 001 (SIGCOMM (Posters and Demos), 2024)

Self-Healing in Knowledge-Driven Autonomous Networks: Context, Challenges, and Future Directions. - Honglin Fang; Peng Yu 001; Can Tan; Junye Zhang; Dahua Lin; Liyan Zhang; Yong Zhang; Wenjing Li 001; Luoming Meng (IEEE Netw., 2024)