The study of the fixation for femoral neck fracture based on finite element method. - DMonan; Hongshu Guo; Zhang Meng (EMEIT, 2011)

An efficient computational approach for automatic itinerary planning on web servers. - Zeyuan Ma; Hongshu Guo; Yinxuan Gui; Yue-Jiao Gong (GECCO, 2021)

A High-Performance Tensorial Evolutionary Computation for Solving Spatial Optimization Problems. - Si-chao Lei; Hongshu Guo; Xiaolin Xiao; Yue-Jiao Gong; Jun Zhang 003 (ICONIP (7), 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 001; Zhiguang Cao (NeurIPS, 2023)

RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. - Hongqiao Lian; Zeyuan Ma; Hongshu Guo; Ting Huang 001; Yue-Jiao Gong (GECCO, 2024)

Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. - Zeyuan Ma; Jiacheng Chen; Hongshu Guo; Yining Ma 001; Yue-Jiao Gong (GECCO, 2024)

SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. - Jiacheng Chen; Zeyuan Ma; Hongshu Guo; Yining Ma 001; Jie Zhang; Yue-Jiao Gong (ICLR, 2024)

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation. - Zeyuan Ma; Hongshu Guo; Jiacheng Chen; Guojun Peng; Zhiguang Cao; Yining Ma 001; Yue-Jiao Gong (CoRR, 2024)

Neural Exploratory Landscape Analysis. - Zeyuan Ma; Jiacheng Chen; Hongshu Guo; Yue-Jiao Gong (CoRR, 2024)

Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. - Zeyuan Ma; Hongshu Guo; Yue-Jiao Gong; Jun Zhang 003; Kay Chen Tan (CoRR, 2024)

Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. - Hongshu Guo; Yining Ma 001; Zeyuan Ma; Jiacheng Chen; Xinglin Zhang; Zhiguang Cao; Jun Zhang 003; Yue-Jiao Gong (IEEE Trans. Syst. Man Cybern. Syst., 2024)

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning. - Hongshu Guo; Zeyuan Ma; Jiacheng Chen; Yining Ma 001; Zhiguang Cao; Xinglin Zhang; Yue-Jiao Gong (AAAI, 2025)

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 (GECCO, 2025)

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

A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping. - Wenjie Qiu 007; Hongshu Guo; Zeyuan Ma; Yue-Jiao Gong (CoRR, 2025)

Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization. - Hongshu Guo; Wenjie Qiu 007; Zeyuan Ma; Xinglin Zhang; Jun Zhang 003; Yue-Jiao Gong (CoRR, 2025)

Meta-Black-Box-Optimization through Offline Q-function Learning. - Zeyuan Ma; Zhiguang Cao; Zhou Jiang; Hongshu Guo; Yue-Jiao Gong (CoRR, 2025)

MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization. - Zeyuan Ma; Yue-Jiao Gong; Hongshu Guo; Wenjie Qiu 007; Sijie Ma; Hongqiao Lian; Jiajun Zhan; Kaixu Chen; Chen Wang; Zhiyang Huang; Zechuan Huang; Guojun Peng; et al. (CoRR, 2025)

DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization. - Hongshu Guo; Zeyuan Ma; Yining Ma 001; Xinglin Zhang; Wei-Neng Chen; Yue-Jiao Gong (CoRR, 2025)