Yangchen Li

12 papers B 3Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Prior-Assisted Personalized Federated Learning for Cooperative Spectrum Sensing. IEEE Trans. Cogn. Commun. Netw. Yangchen Li, Wang Liu, Bingbin Li, Yuanzhe Wang, Tianle Wang, Zhe Jia, Lianghui Ding, Feng Yang
2025	B	`conf`	Optimization for Multi-Satellite Cooperative Communication Systems with Tunable Load Antennas. WCNC Qi Duan, Changxin Shi, Yangchen Li, Wenbin Wang, Zhe Jia, Tianle Wang, Lianghui Ding, Feng Yang
2024	J	`jnl`	GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems. IEEE Trans. Wirel. Commun. Yangchen Li, Ying Cui, Vincent K. N. Lau
2024	B	`conf`	Knowledge and Model-Driven Deep Reinforcement Learning for Federated Edge Learning. GLOBECOM Yangchen Li, Lingzhi Zhao, Feng Yang
2023	J	`jnl`	An Optimization Framework for Federated Edge Learning. IEEE Trans. Wirel. Commun. Yangchen Li, Ying Cui, Vincent Lau
2023	J	`jnl`	GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems. CoRR Yangchen Li, Ying Cui, Vincent K. N. Lau
2023	—	`conf`	Optimization-Based Quantized Federated Learning for General Edge Computing Systems. ICC Yangchen Li, Ying Cui, Vincent Lau
2022	—	`conf`	An Optimization Framework for Federated Edge Learning. SPAWC Yangchen Li, Ying Cui, Vincent Lau
2022	J	`jnl`	Sample-Based and Feature-Based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA. IEEE Trans. Signal Process. Ying Cui, Yangchen Li, Chencheng Ye
2021	J	`jnl`	An Optimization Framework for Federated Edge Learning. CoRR Yangchen Li, Ying Cui, Vincent K. N. Lau
2021	B	`conf`	Optimization-Based GenQSGD for Federated Edge Learning. GLOBECOM Yangchen Li, Ying Cui, Vincent K. N. Lau
2021	J	`jnl`	Optimization-Based GenQSGD for Federated Edge Learning. CoRR Yangchen Li, Ying Cui, Vincent K. N. Lau