Hongshu Guo - RankMe

35 papers A* 5A 4Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	COBRA++: Enhanced COBRA Optimizer with Augmented Surrogate Pool and Reinforced Surrogate Selection. CoRR Zipei Yu, Zhiyang Huang, Hongshu Guo, Yue-Jiao Gong, Zeyuan Ma
2026	J	`jnl`	Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization. CoRR Zijian Gao, Yuanting Zhong, Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo
2026	J	`jnl`	READY: Reward Discovery for Meta-Black-Box Optimization. CoRR Zechuan Huang, Zhiguang Cao, Hongshu Guo, Yue-Jiao Gong, Zeyuan Ma
2026	J	`jnl`	Reinforcement Learning-assisted Constraint Relaxation for Constrained Expensive Optimization. CoRR Qianhao Zhu, Sijie Ma, Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong
2026	J	`jnl`	Surrogate Ensemble in Expensive Multi-Objective Optimization via Deep Q-Learning. CoRR Yuxin Wu, Hongshu Guo, Ting Huang, Yue-Jiao Gong, Zeyuan Ma
2026	J	`jnl`	Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. IEEE Trans. Evol. Comput. Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong, Jun Zhang, Kay Chen Tan
2025	—	`conf`	A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping. GECCO Companion Wenjie Qiu, Hongshu Guo, Zeyuan Ma, Yue-Jiao Gong
2025	J	`jnl`	A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping. CoRR Wenjie Qiu, Hongshu Guo, Zeyuan Ma, Yue-Jiao Gong
2025	J	`jnl`	Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization. CoRR Hongshu Guo, Wenjie Qiu, Zeyuan Ma, Xinglin Zhang, Jun Zhang, Yue-Jiao Gong
2025	A*	`conf`	ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning. AAAI Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong
2025	J	`jnl`	DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization. CoRR Hongshu Guo, Zeyuan Ma, Yining Ma, Xinglin Zhang, Wei-Neng Chen, Yue-Jiao Gong
2025	J	`jnl`	Evolutionary System 2 Reasoning: An Empirical Proof. CoRR Zeyuan Ma, Wenqi Huang, Guo-Huan Song, Hongshu Guo, Sijie Ma, Zhiguang Cao, Yue-Jiao Gong
2025	A*	`conf`	Meta-Black-Box-Optimization through Offline Q-function Learning. ICML Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong
2025	J	`jnl`	Meta-Black-Box-Optimization through Offline Q-function Learning. CoRR Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong
2025	J	`jnl`	MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization. CoRR 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
2025	A*	`conf`	Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization. ICLR Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong
2025	A	`conf`	Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning. GECCO Hongshu Guo, Sijie Ma, Zechuan Huang, Yuzhi Hu, Zeyuan Ma, Xinglin Zhang, Yue-Jiao Gong
2025	J	`jnl`	Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning. CoRR Hongshu Guo, Sijie Ma, Zechuan Huang, Yuzhi Hu, Zeyuan Ma, Xinglin Zhang, Yue-Jiao Gong
2024	A	`conf`	Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. GECCO Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong
2024	J	`jnl`	Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. CoRR Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong
2024	J	`jnl`	ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning. CoRR Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong
2024	J	`jnl`	Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. CoRR Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong
2024	J	`jnl`	Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong
2024	J	`jnl`	LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation. CoRR Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Guojun Peng, Zhiguang Cao, Yining Ma, Yue-Jiao Gong
2024	J	`jnl`	Neural Exploratory Landscape Analysis. CoRR Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong
2024	A	`conf`	RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. GECCO Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong
2024	J	`jnl`	RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. CoRR Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong
2024	A*	`conf`	SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. ICLR Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong
2024	J	`jnl`	Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. CoRR Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong
2024	J	`jnl`	Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. CoRR Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong, Jun Zhang, Kay Chen Tan
2023	—	`conf`	A High-Performance Tensorial Evolutionary Computation for Solving Spatial Optimization Problems. ICONIP (7) Si-chao Lei, Hongshu Guo, Xiaolin Xiao, Yue-Jiao Gong, Jun Zhang
2023	A*	`conf`	MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. NeurIPS Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao
2023	J	`jnl`	MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. CoRR Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao
2021	A	`conf`	An efficient computational approach for automatic itinerary planning on web servers. GECCO Zeyuan Ma, Hongshu Guo, Yinxuan Gui, Yue-Jiao Gong
2011	—	`conf`	The study of the fixation for femoral neck fracture based on finite element method. EMEIT DMonan, Hongshu Guo, Zhang Meng