Zeyuan Ma - RankMe

48 papers A* 6A 6Journal 34Unranked 2

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`	Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model. CoRR Chen Wang, Sijie Ma, Zeyuan Ma, Yue-Jiao Gong
2026	A*	`conf`	Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering. AAAI Chen Wang, Yue-Jiao Gong, Zhiguang Cao, Zeyuan Ma
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`	Rethink Efficiency Side of Neural Combinatorial Solver: An Offline and Self-Play Paradigm. CoRR Zhenxing Xu, Zeyuan Ma, Weidong Bao, Hui Yan, Yan Zheng, Ji Wang
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	A	`conf`	Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning. GECCO Zeyuan Ma, Hongqiao Lian, Wenjie Qiu, Yue-Jiao Gong
2025	J	`jnl`	Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning. CoRR Zeyuan Ma, Hongqiao Lian, Wenjie Qiu, 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	J	`jnl`	Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering. CoRR Chen Wang, Zeyuan Ma, Zhiguang Cao, Yue-Jiao Gong
2025	—	`conf`	Learn to Refine: Synergistic Multi-Agent Path Optimization for Lifelong Conflict-Free Navigation of Autonomous Vehicles. KDD (2) Junjun Li, Zeyuan Ma, Ting Huang, Yue-Jiao Gong
2025	J	`jnl`	Learning Where, What and How to Transfer: A Multi-Role Reinforcement Learning Approach for Evolutionary Multitasking. CoRR Jiajun Zhan, Zeyuan Ma, Yue-Jiao Gong, Kay Chen Tan
2025	J	`jnl`	MSNet: a novel network with comprehensive multi-scale feature integration for gastric cancer and colon polyp segmentation. Signal Image Video Process. Dongzhi He, Chenxi Li, Zeyuan Ma, Yunqi Li
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	J	`jnl`	Offline Multi-Task Multi-Objective Data-Driven Evolutionary Algorithm with Language Surrogate Model and Implicit Q-Learning. CoRR Xian-Rong Zhang, Yue-Jiao Gong, Zeyuan Ma, Jun Zhang
2025	J	`jnl`	Prompt-supervised dynamic attention graph convolutional network for skeleton-based action recognition. Neurocomputing Shasha Zhu, Lu Sun, Zeyuan Ma, Chenxi Li, Dongzhi He
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
2025	A	`conf`	Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study. GECCO Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, Yue-Jiao Gong
2025	J	`jnl`	Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study. CoRR Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, 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`	Dual-Branch Fully Convolutional Segment Anything Model for Lesion Segmentation in Endoscopic Images. IEEE Access Dongzhi He, Zeyuan Ma, Chenxi Li, Yunqi Li
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	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
2022	J	`jnl`	Adaptive path planning method for UAVs in complex environments. Int. J. Appl. Earth Obs. Geoinformation Zeyuan Ma, Jing Chen
2021	A	`conf`	An efficient computational approach for automatic itinerary planning on web servers. GECCO Zeyuan Ma, Hongshu Guo, Yinxuan Gui, Yue-Jiao Gong