| 2026 | GECCO | Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization. | Wenjie Qiu, Hao Guo, Zeyuan Ma, Yue-Jiao Gong |
| 2026 | GECCO | A Learning-Based Cooperative Coevolution Framework for Heterogeneous Large-Scale Global Optimization. | Wenjie Qiu, Zixin Wang, Hongyu Fang, Zeyuan Ma, Yue-Jiao Gong |
| 2025 | GECCO | A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping. | Wenjie Qiu, Hongshu Guo, Zeyuan Ma, Yue-Jiao Gong |
| 2025 | GECCO | Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning. | Zeyuan Ma, Hongqiao Lian, Wenjie Qiu, Yue-Jiao Gong |
| 2025 | ICLR | Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation. | Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An |
| 2024 | ICML | Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. | Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu |
| 2022 | ICLR | Programmatic Reinforcement Learning without Oracles. | Wenjie Qiu, He Zhu |