Wei-Bin Kou - RankMe

27 papers A* 1A 4B 1Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring Performance-Fairness Trade-Offs in Federated Learning. IEEE Trans. Netw. Rongguang Ye, Wei-Bin Kou, Ming Tang
2025	J	`jnl`	Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization. CoRR Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Jingreng Lei, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu
2025	A	`conf`	Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory. IROS Wei-Bin Kou, Qingfeng Lin, Ming Tang, Jingreng Lei, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu
2025	J	`jnl`	Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory. CoRR Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu
2025	J	`jnl`	Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Wei-Bin Kou, Qingfeng Lin, Ming Tang, Rongguang Ye, Shuai Wang, Guangxu Zhu, Yik-Chung Wu
2025	J	`jnl`	FedDSR: Federated Deep Supervision and Regularization Towards Autonomous Driving. CoRR Wei-Bin Kou, Guangxu Zhu, Bingyang Cheng, Chen Zhang, Yik-Chung Wu, Jianping Wang
2025	A	`conf`	FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving. IROS Wei-Bin Kou, Guangxu Zhu, Bingyang Cheng, Shuai Wang, Ming Tang, Yik-Chung Wu
2025	J	`jnl`	FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving. CoRR Wei-Bin Kou, Guangxu Zhu, Bingyang Cheng, Shuai Wang, Ming Tang, Yik-Chung Wu
2025	A*	`conf`	Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator. ICRA Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang, Yik-Chung Wu
2025	J	`jnl`	Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator. CoRR Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang, Yik-Chung Wu
2025	J	`jnl`	NTK-Guided Implicit Neural Teaching. CoRR Chen Zhang, Wei Zuo, Bingyang Cheng, Yikun Wang, Wei-Bin Kou, Yik Chung Wu, Ngai Wong
2025	—	`conf`	PraFFL: A Preference-Aware Scheme in Fair Federated Learning. KDD (1) Rongguang Ye, Wei-Bin Kou, Ming Tang
2025	J	`jnl`	Statistic-Augmented, Decoupled MoE Routing and Aggregating in Autonomous Driving. CoRR Wei-Bin Kou, Guangxu Zhu, Jingreng Lei, Chen Zhang, Yik-Chung Wu, Jianping Wang
2025	J	`jnl`	iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models. CoRR Wei-Bin Kou, Guangxu Zhu, Yichen Jin, Shuai Wang, Ming Tang, Yik-Chung Wu
2025	J	`jnl`	pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Wei-Bin Kou, Qingfeng Lin, Ming Tang, Sheng Xu, Rongguang Ye, Yang Leng, Shuai Wang, Guofa Li, Zhenyu Chen, Guangxu Zhu, Yik-Chung Wu
2024	J	`jnl`	A hierarchical federated learning framework for collaborative quality defect inspection in construction. Eng. Appl. Artif. Intell. Haitao Wu, Heng Li, Hung-Lin Chi, Wei-Bin Kou, Yik-Chung Wu, Shuai Wang
2024	J	`jnl`	An Adverse Weather-Immune Scheme with Unfolded Regularization and Foundation Model Knowledge Distillation for Street Scene Understanding. CoRR Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu
2024	J	`jnl`	Communication-Efficient Activity Detection for Cell-Free Massive MIMO: An Augmented Model-Driven End-to-End Learning Framework. IEEE Trans. Wirel. Commun. Qingfeng Lin, Yang Li, Wei-Bin Kou, Tsung-Hui Chang, Yik-Chung Wu
2024	J	`jnl`	Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving. CoRR Wei-Bin Kou, Qingfeng Lin, Ming Tang, Rongguang Ye, Shuai Wang, Guangxu Zhu, Yik-Chung Wu
2024	A	`conf`	FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding. IROS Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu, Yik-Chung Wu
2024	J	`jnl`	FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding. CoRR Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu, Yik-Chung Wu
2024	B	`conf`	Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization. SMC Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi
2024	J	`jnl`	Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization. CoRR Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi
2024	J	`jnl`	pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving. CoRR Wei-Bin Kou, Qingfeng Lin, Ming Tang, Sheng Xu, Rongguang Ye, Yang Leng, Shuai Wang, Zhenyu Chen, Guangxu Zhu, Yik-Chung Wu
2023	A	`conf`	Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving. IROS Wei-Bin Kou, Shuai Wang, Guangxu Zhu, Bin Luo, Yingxian Chen, Derrick Wing Kwan Ng, Yik-Chung Wu
2023	J	`jnl`	Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving. CoRR Wei-Bin Kou, Shuai Wang, Guangxu Zhu, Bin Luo, Yingxian Chen, Derrick Wing Kwan Ng, Yik-Chung Wu
2023	—	`conf`	Communication-Efficient Joint Signal Compression and Activity Detection in Cell-Free Massive MIMO. ICC Qingfeng Lin, Yang Li, Wei-Bin Kou, Tsung-Hui Chang, Yik-Chung Wu