Can Tan - RankMe

15 papers B 2Journal 4Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Digital Twins-Driven Green and Reliable Resource Allocation for High Dynamic 6G Edge Networks. ICC Defeng Shen, Peng Yu, Honglin Fang, Can Tan, Lei Feng, Wenjing Li
2025	J	`jnl`	Energy-Efficient Federated Learning Training Optimization for Digital Twin Driven 6G Air-Ground Integrated Vehicular Networks. IEEE Trans. Intell. Transp. Syst. Can Tan, Peng Yu, Zhaowei Qu, Lixin Zhang, Wenjing Li, Xuesong Qiu, Shaoyong Guo
2025	—	`conf`	FedCE: Communication-efficient Federated Knowledge Graph Embedding in Heterogeneous Social Networks. BMSB Yaxu Wang, Peng Yu, Zhaowei Qu, Honglin Fang, Can Tan
2025	—	`conf`	Proactive Rapid Emergency Communication via Low Altitude Intelligent Networks Enabled by Adaptive Generative AI. WF-IoT Lixin Zhang, Peng Yu, Chaochao Li, Wenting Li, Can Tan, Dingshi Liao, Xu Chen
2025	B	`conf`	Trust-Aware Rapid Emergency Service Recovery for Low-Altitude Intelligent Networking via Transformer-Enhanced Reinforcement Learning. TrustCom Lixin Zhang, Peng Yu, Chaochao Li, Can Tan, Xu Chen, Dingshi Liao
2024	—	`conf`	A Knowledge-driven Self-healing Dual-loop and Validation for Autonomous Networks. APNet Can Tan, Honglin Fang, Junye Zhang, Dahua Lin, Liyan Zhang, Yong Zhang, Peng Yu
2024	—	`conf`	Graph Neural Network Enhanced Dynamic Routing for UAV-Assisted Delay Tolerant Network. ICCBN Ran Gao, Can Tan, Honglin Fang, Peng Yu
2024	—	`conf`	Large Language Model Enhanced Autonomous Agents for Proactive Fault-Tolerant Edge Networks. INFOCOM (Workshops) Honglin Fang, Di Zhang, Can Tan, Peng Yu, Ying Wang, Wenjing Li
2024	—	`conf`	POSTER: Hybrid-Granularity Network Load balancing for Distributed AI Model Training. SIGCOMM (Posters and Demos) Junye Zhang, Honglin Fang, Can Tan, Peng Yu
2024	—	`conf`	Reliable Resource Matching in 6G Computing Power Network for Digital Twin Service. ICCT Shilong Zhao, Junye Zhang, Honglin Fang, Can Tan, Peng Yu, Wenjing Li
2024	J	`jnl`	Self-Healing in Knowledge-Driven Autonomous Networks: Context, Challenges, and Future Directions. IEEE Netw. Honglin Fang, Peng Yu, Can Tan, Junye Zhang, Dahua Lin, Liyan Zhang, Yong Zhang, Wenjing Li, Luoming Meng
2023	J	`jnl`	Automated bridge crack detection method based on lightweight vision models. Complex Intell. Syst. Jian Zhang, Songrong Qian, Can Tan
2023	B	`conf`	Self-adaptive and Efficient Training Node Selection for Federated Learning in B5G/6G Edge Network. NOMS Can Tan, Peng Yu, Wenjing Li, Fanqin Zhou, Ying Wang, Siya Xu, Xuesong Qiu, Qingbi Zheng, Pei Xiao
2022	J	`jnl`	Automated bridge surface crack detection and segmentation using computer vision-based deep learning model. Eng. Appl. Artif. Intell. Jian Zhang, Songrong Qian, Can Tan
2022	—	`conf`	DRL-based Federated Learning Node Selection Algorithm for Mobile Edge Networks. ICAIT Yonghua Huo, Chunxiao Song, Jie Zhang, Can Tan