• [02/2025] One paper is accepted to IEEE Transactions on Intelligent Transportation Systems (TITS).

• [01/2025] One paper is accepted to IEEE International Conference on Robotics and Automation (ICRA 2025).

• [09/2024] I am invited to serve as a reviewer for IEEE Conference on Virtual Reality and 3D User Interface (IEEE VR).

• [09/2024] I am invited to serve as a reviewer for ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).

• [08/2024] I am invited to serve as a reviewer for International Conference on Learning Representations (ICLR).

• [08/2024] I am invited to serve as a reviewer for IEEE Transactions on Mobile Computing (TMC).

• [07/2024] I am awarded IROS 2024 travel grant ($1,000).

• [07/2024] One paper is accepted to IEEE International Conference on Systems, Man, and Cybernetics (SMC 2024).

• [06/2024] One paper is accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024).

• [05/2024] I am invited to serve as a reviewer for Neural Information Processing Systems (NeurIPS 2024).

• [04/2024] One paper is accepted to IEEE Transactions on Wireless Communications (TWC).

• [04/2024] I am invited to serve as Program Committee Member for 2nd International Conference on AI-generated Content (AIGC 2024).

• [04/2024] I am invited to serve as a reviewer for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024).

• [03/2024] I am invited to serve as a reviewer for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

• [04/2024] One paper is accepted to Engineering Applications of Artificial Intelligence (EAAI).

• [11/2023] I am offered to join SUSTech Fellowship Program.

• [10/2023] I am invited to serve as a reviewer for ICRA 2024.

• [06/2023] One paper is accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023.

• [01/2023] One paper is accepted to IEEE International Conference on Communication (ICC) 2023.

Publications

*: equal contribution, †: corresponding author

• Predicting Childhood and Adolescence Hypertension: Analysis of Predictors Using Machine Learning.
  Hengyan Liu, Wei-Bin Kou, Yik-Chung Wu, Pui Hing Chau, Thomas Wai Hung Chung, Daniel Yee Tak Fong†.
  Pediatrics.
  

• Adverse Weather-Resilient Street Scene Understanding through Temporal Correlation and Unfolded Regularization.
  Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang† and Yik-Chung Wu†.
  Under Review.
  [Link]

• 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† and Yik-Chung Wu†.
  Under Review.
  [arXiv]

• Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator.
  Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang† and Yik-Chung Wu†.
  Proceeding of International Conference on Robotics and Automation (ICRA), 2025.
  [arXiv]

• PraFFL: A Preference-Aware Scheme in Fair Federated Learning.
  Rongguang Ye, Wei-Bin Kou, Ming Tang†.
  Proceeding of SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025.
  [arXiv]

• 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† and Yik-Chung Wu†.
  IEEE Transactions on Intelligent Transportation Systems (TITS), 2024.
  [arXiv]

• Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization.
  Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang†, Hisao Ishibuchi†.
  Proceeding of IEEE International Conference on Systems, Man, and Cybernetics (SMC).
  

• Generalizable Autonomous Driving System across Diverse Adverse Weather Conditions.
  Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Qingfeng Lin, Zeyi Ren, Ming Tang† and Yik-Chung Wu†.
  Under Review.
  [arXiv]

• 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† and Yik-Chung Wu†.
  Major Revision.
  [arXiv]

• FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding.
  Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu† and Yik-Chung Wu†.
  Proceeding of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
  [arXiv]

• A hierarchical federated learning framework for collaborative quality defect inspection in construction.
  Hai-Tao Wu, Heng Li, Hung-Lin Chi, Wei-Bin Kou†, Yik-Chung Wu, Shuai Wang.
  Engineering Applications of Artificial Intelligence(EAAI), 2023.
  

• MGFN++: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection.
  Yingxian Chen, Wei-Bin Kou, Wilton Fok, Zhengzhe Liu†, Xiaojuan Qi, Yik-Chung Wu†.
  Under Review of International Journal of Computer Vision (IJCV), 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, and Yik-Chung Wu†.
  Proceeding of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
  [arXiv] [code] [BibTeX]

• Communication-Efficient Joint Signal Compression and Activity Detection in Cell-Free Massive MIMO.
  Qingfeng Lin, Yang Li, Wei-Bin Kou, Tsung-Hui Chang, and Yik-Chung Wu†.
  Proceeding of IEEE International Conference on Communication (ICC), 2023.
  

• 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, and Yik-Chung Wu†.
  IEEE Transactions on Wireless Communications (TWC), 2023.