Yu Zhou

According to our database, Yu Zhou authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Evaluation of Large Language Models as Solution Generators in Complex Optimization.

Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan

IEEE Comput. Intell. Mag., November, 2025

Towards Robustness and Explainability of Automatic Algorithm Selection.

Xingyu Wu, Jibin Wu, Yu Zhou, Liang Feng, Kc Tan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

A Novel Incentive Mechanism for Federated Learning Over Wireless Communications.

Yong Wang, Yu Zhou, Pei-Qiu Huang

IEEE Trans. Artif. Intell., November, 2024

Energy Optimization and Lightweight Design for Efficient Federated Learning in Wireless Edge Systems.

Lei Lei, Yaxiong Yuan, Yu Zhou, Yang Yang, Yu Luo, Lina Pu, Symeon Chatzinotas

IEEE Trans. Veh. Technol., September, 2024

Decomposition and Meta-DRL Based Multi-Objective Optimization for Asynchronous Federated Learning in 6G-Satellite Systems.

Yu Zhou, Lei Lei, Xiaohui Zhao, Lei You, Yaohua Sun, Symeon Chatzinotas

IEEE J. Sel. Areas Commun., May, 2024

HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models.

Yu Zhou, Xingyu Wu, Jibin Wu, Liang Feng, Kay Chen Tan

CoRR, 2024

CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models.

Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan

CoRR, 2024

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models.

Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan

CoRR, 2024

Efficient Federated Learning in 6G-Satellite Systems: Deep Reinforcement Learning Based Multi-Objective Optimization.

Yu Zhou, Jingjing Guo, Haohui Li, Jinjin Tian, Xiaohui Zhao, Lei Lei

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

2023

Multi-Objective Optimization for Bandwidth-Limited Federated Learning in Wireless Edge Systems.

Yu Zhou, Xuemei Liu, Lei Lei

IEEE Open J. Commun. Soc., 2023

Efficient Federated Learning in Wireless Communication Systems: A Multi-Objective Optimization Perspective.

Yu Zhou, Xiaohui Zhao, Xuemei Liu, Lei You, Lei Lei

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022

Placement Optimization for Multi-IRS-Aided Wireless Communications: An Adaptive Differential Evolution Algorithm.

Pei-Qiu Huang, Yu Zhou, Kezhi Wang, Bing-Chuan Wang

IEEE Wirel. Commun. Lett., 2022