Guo, Hongshu

7 publications

AAAI 2025 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

NeurIPS 2025 DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization Hongshu Guo, Zeyuan Ma, Yining Ma, Xinglin Zhang, Wei-Neng Chen, Yue-Jiao Gong

ICML 2025 Meta-Black-Box-Optimization Through Offline Q-Function Learning Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong

NeurIPS 2025 MetaBox-V2: A Unified Benchmark Platform for Meta-Black-Box Optimization Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Wenjie Qiu, Sijie Ma, Hongqiao Lian, Jiajun Zhan, Kaixu Chen, Chen Wang, Zhiyang Huang, Zechuan Huang, Guojun Peng, Ran Cheng, Yining Ma

ICLR 2025 Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong

ICLR 2024 SYMBOL: Generating Flexible Black-Box Optimizers Through Symbolic Equation Learning Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong

NeurIPS 2023 MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao