Communication-Efficient Joint Signal Compression and Activity Detection in Cell-Free Massive MIMO. - Qingfeng Lin; Yang Li 035; Wei-Bin Kou; Tsung-Hui Chang; Yik-Chung Wu (ICC, 2023)

Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving. - Wei-Bin Kou; Shuai Wang 004; Guangxu Zhu; Bin Luo 004; Yingxian Chen; Derrick Wing Kwan Ng; Yik-Chung Wu (IROS, 2023)

FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding. - Wei-Bin Kou; Qingfeng Lin; Ming Tang 006; Shuai Wang 004; Guangxu Zhu; Yik-Chung Wu (IROS, 2024)

Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization. - Rongguang Ye; Longcan Chen; Wei-Bin Kou; Jinyuan Zhang; Hisao Ishibuchi (SMC, 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 006; Sheng Xu; Rongguang Ye; Yang Leng; Shuai Wang 004; Zhenyu Chen; Guangxu Zhu; Yik-Chung Wu (CoRR, 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 004; Qingfeng Lin; Ming Tang 006; Yik-Chung Wu (CoRR, 2024)

A hierarchical federated learning framework for collaborative quality defect inspection in construction. - Haitao Wu; Heng Li 001; Hung-Lin Chi; Wei-Bin Kou; Yik-Chung Wu; Shuai Wang 004 (Eng. Appl. Artif. Intell., 2024)

Communication-Efficient Activity Detection for Cell-Free Massive MIMO: An Augmented Model-Driven End-to-End Learning Framework. - Qingfeng Lin; Yang Li 035; Wei-Bin Kou; Tsung-Hui Chang; Yik-Chung Wu (IEEE Trans. Wirel. Commun., 2024)

PraFFL: A Preference-Aware Scheme in Fair Federated Learning. - Rongguang Ye; Wei-Bin Kou; Ming Tang 006 (KDD (1), 2025)

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory. - Wei-Bin Kou; Qingfeng Lin; Ming Tang 006; Shuai Wang 004; Rongguang Ye; Guangxu Zhu; Yik-Chung Wu (CoRR, 2025)

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator. - Wei-Bin Kou; Guangxu Zhu; Rongguang Ye; Shuai Wang 004; Ming Tang 006; Yik-Chung Wu (CoRR, 2025)

FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving. - Wei-Bin Kou; Guangxu Zhu; Bingyang Cheng; Shuai Wang 004; Ming Tang 006; Yik-Chung Wu (CoRR, 2025)

iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models. - Wei-Bin Kou; Guangxu Zhu; Yichen Jin; Shuai Wang 004; Ming Tang 006; Yik-Chung Wu (CoRR, 2025)

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving. - Wei-Bin Kou; Qingfeng Lin; Ming Tang 006; Rongguang Ye; Shuai Wang 004; Guangxu Zhu; Yik-Chung Wu (IEEE Trans. Intell. Transp. Syst., 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 004; Qingfeng Lin; Ming Tang 006; Yik-Chung Wu (CoRR, 2025)