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Can Tan
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2020 – today
- 2024
- [j2]Honglin Fang
, Peng Yu
, Can Tan
, Junye Zhang
, Dahua Lin
, Liyan Zhang
, Yong Zhang
, Wenjing Li
, Luoming Meng
:
Self-Healing in Knowledge-Driven Autonomous Networks: Context, Challenges, and Future Directions. IEEE Netw. 38(6): 425-432 (2024) - [c6]Can Tan
, Honglin Fang
, Junye Zhang
, Dahua Lin
, Liyan Zhang
, Yong Zhang
, Peng Yu
:
A Knowledge-driven Self-healing Dual-loop and Validation for Autonomous Networks. APNet 2024: 185-186 - [c5]Ran Gao
, Can Tan
, Honglin Fang
, Peng Yu
:
Graph Neural Network Enhanced Dynamic Routing for UAV-Assisted Delay Tolerant Network. ICCBN 2024: 167-171 - [c4]Honglin Fang, Di Zhang, Can Tan, Peng Yu, Ying Wang, Wenjing Li:
Large Language Model Enhanced Autonomous Agents for Proactive Fault-Tolerant Edge Networks. INFOCOM (Workshops) 2024: 1-2 - [c3]Junye Zhang
, Honglin Fang
, Can Tan
, Peng Yu
:
POSTER: Hybrid-Granularity Network Load balancing for Distributed AI Model Training. SIGCOMM (Posters and Demos) 2024: 51-53 - 2023
- [c2]Can Tan
, Peng Yu, Wenjing Li, Fanqin Zhou, Ying Wang, Siya Xu, Xuesong Qiu, Qingbi Zheng, Pei Xiao:
Self-adaptive and Efficient Training Node Selection for Federated Learning in B5G/6G Edge Network. NOMS 2023: 1-5 - 2022
- [j1]Jian Zhang
, Songrong Qian, Can Tan:
Automated bridge surface crack detection and segmentation using computer vision-based deep learning model. Eng. Appl. Artif. Intell. 115: 105225 (2022) - [c1]Yonghua Huo, Chunxiao Song, Jie Zhang, Can Tan:
DRL-based Federated Learning Node Selection Algorithm for Mobile Edge Networks. ICAIT 2022: 49-54
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