| 2025 | ACL | One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models. | Rongguang Ye, Ming Tang |
| 2025 | IJCAI | Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning. | Rongguang Ye, Ming Tang |
| 2025 | ICRA | Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator. | Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang, Yik-Chung Wu |
| 2025 | IROS | Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory. | Wei-Bin Kou, Qingfeng Lin, Ming Tang, Jingreng Lei, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu |
| 2025 | KDD | PraFFL: A Preference-Aware Scheme in Fair Federated Learning. | Rongguang Ye, Wei-Bin Kou, Ming Tang |
| 2024 | GECCO | Evolutionary Preference Sampling for Pareto Set Learning. | Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi |
| 2024 | IJCNN | Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems. | Chikai Shang, Rongguang Ye, Jiaqi Jiang, Fangqing Gu |
| 2024 | IJCNN | Data-Driven Preference Sampling for Pareto Front Learning. | Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi |
| 2024 | PPSN | A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems. | Hiroki Shiraishi, Rongguang Ye, Hisao Ishibuchi, Masaya Nakata |
| 2024 | PPSN | An Unbounded Archive-Based Inverse Model in Evolutionary Multi-objective Optimization. | Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi |
| 2024 | SMC | Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization. | Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi |
| 2022 | CVPR | Localization Distillation for Dense Object Detection. | Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Ming-Ming Cheng |
| 2022 | PRICAI | SIA-Unet: A Unet with Sequence Information for Gastrointestinal Tract Segmentation. | Rongguang Ye, Ranmin Wang, Yantong Guo, Lei Chen |
| 2020 | AAAI | Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression. | Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren |