Wei-Bin Kou

According to our database, Wei-Bin Kou authored at least 15 papers between 2023 and 2025.

Collaborative distances:

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

2025

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization.

Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Jingreng Lei, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu

CoRR, August, 2025

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving.

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Rongguang Ye, Shuai Wang, Guangxu Zhu, Yik-Chung Wu

IEEE Trans. Intell. Transp. Syst., July, 2025

iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models.

Wei-Bin Kou, Guangxu Zhu, Yichen Jin, Shuai Wang, Ming Tang, Yik-Chung Wu

CoRR, May, 2025

FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving.

Wei-Bin Kou, Guangxu Zhu, Bingyang Cheng, Shuai Wang, Ming Tang, Yik-Chung Wu

CoRR, May, 2025

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator.

Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang, Yik-Chung Wu

CoRR, February, 2025

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory.

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu

CoRR, January, 2025

PraFFL: A Preference-Aware Scheme in Fair Federated Learning.

Rongguang Ye, Wei-Bin Kou, Ming Tang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Communication-Efficient Activity Detection for Cell-Free Massive MIMO: An Augmented Model-Driven End-to-End Learning Framework.

Qingfeng Lin, Yang Li, Wei-Bin Kou, Tsung-Hui Chang, Yik-Chung Wu

IEEE Trans. Wirel. Commun., October, 2024

A hierarchical federated learning framework for collaborative quality defect inspection in construction.

Haitao Wu, Heng Li, Hung-Lin Chi, Wei-Bin Kou, Yik-Chung Wu, Shuai Wang

Eng. Appl. Artif. Intell., 2024

An Adverse Weather-Immune Scheme with Unfolded Regularization and Foundation Model Knowledge Distillation for Street Scene Understanding.

Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu

CoRR, 2024

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving.

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Sheng Xu, Rongguang Ye, Yang Leng, Shuai Wang, Zhenyu Chen, Guangxu Zhu, Yik-Chung Wu

CoRR, 2024

Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization.

Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding.

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu, Yik-Chung Wu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving.

Wei-Bin Kou, Shuai Wang, Guangxu Zhu, Bin Luo, Yingxian Chen, Derrick Wing Kwan Ng, Yik-Chung Wu

IROS, 2023

Communication-Efficient Joint Signal Compression and Activity Detection in Cell-Free Massive MIMO.

Qingfeng Lin, Yang Li, Wei-Bin Kou, Tsung-Hui Chang, Yik-Chung Wu

Proceedings of the IEEE International Conference on Communications, 2023