| 2026 | AAAI | Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering. | Chen Wang, Yue-Jiao Gong, Zhiguang Cao, Zeyuan Ma |
| 2026 | GECCO | Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization. | Zijian Gao, Zeyuan Ma, Yuanting Zhong, Yue-Jiao Gong, Hongshu Guo |
| 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 |
| 2026 | GECCO | GeM-EA: A Generative and Meta-learning Enhanced Evolutionary Algorithm for Streaming Data-Driven Optimization. | Yue Wu, Yuanting Zhong, Zeyuan Ma, Yue-Jiao Gong |
| 2026 | GECCO | COBRA++: Enhanced COBRA Optimizer with Augmented Surrogate Pool and Reinforced Surrogate Selection. | Zipei Yu, Zhiyang Huang, Hongshu Guo, Yue-Jiao Gong, Zeyuan Ma |
| 2025 | AAAI | ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning. | Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, 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 | Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning. | Hongshu Guo, Sijie Ma, Zechuan Huang, Yuzhi Hu, Zeyuan Ma, Xinglin Zhang, Yue-Jiao Gong |
| 2025 | GECCO | Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study. | Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, 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 | Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization. | Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong |
| 2025 | ICML | Meta-Black-Box-Optimization through Offline Q-function Learning. | Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong |
| 2025 | KDD | Learn to Refine: Synergistic Multi-Agent Path Optimization for Lifelong Conflict-Free Navigation of Autonomous Vehicles. | Junjun Li, Zeyuan Ma, Ting Huang, Yue-Jiao Gong |
| 2024 | GECCO | RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. | Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong |
| 2024 | GECCO | Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. | Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong |
| 2024 | ICLR | SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. | Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong |
| 2021 | GECCO | An efficient computational approach for automatic itinerary planning on web servers. | Zeyuan Ma, Hongshu Guo, Yinxuan Gui, Yue-Jiao Gong |