Zeyuan Ma

According to our database, Zeyuan Ma authored at least 36 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization.

Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong, Jun Zhang, Kay Chen Tan

IEEE Trans. Evol. Comput., April, 2026

A Learning-Based Cooperative Coevolution Framework for Heterogeneous Large-Scale Global Optimization.

Wenjie Qiu, Zixin Wang, Hongyu Fang, Zeyuan Ma, Yue-Jiao Gong

CoRR, April, 2026

Rethink Efficiency Side of Neural Combinatorial Solver: An Offline and Self-Play Paradigm.

Zhenxing Xu, Zeyuan Ma, Weidong Bao, Hui Yan, Yan Zheng, Ji Wang

CoRR, February, 2026

Surrogate Ensemble in Expensive Multi-Objective Optimization via Deep Q-Learning.

Yuxin Wu, Hongshu Guo, Ting Huang, Yue-Jiao Gong, Zeyuan Ma

CoRR, February, 2026

Reinforcement Learning-assisted Constraint Relaxation for Constrained Expensive Optimization.

Qianhao Zhu, Sijie Ma, Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong

CoRR, February, 2026

COBRA++: Enhanced COBRA Optimizer with Augmented Surrogate Pool and Reinforced Surrogate Selection.

Zipei Yu, Zhiyang Huang, Hongshu Guo, Yue-Jiao Gong, Zeyuan Ma

CoRR, January, 2026

Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization.

Zijian Gao, Yuanting Zhong, Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo

CoRR, January, 2026

Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model.

Chen Wang, Sijie Ma, Zeyuan Ma, Yue-Jiao Gong

CoRR, January, 2026

READY: Reward Discovery for Meta-Black-Box Optimization.

Zechuan Huang, Zhiguang Cao, Hongshu Guo, Yue-Jiao Gong, Zeyuan Ma

CoRR, January, 2026

Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering.

Chen Wang, Yue-Jiao Gong, Zhiguang Cao, Zeyuan Ma

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Offline Multi-Task Multi-Objective Data-Driven Evolutionary Algorithm with Language Surrogate Model and Implicit Q-Learning.

Xian-Rong Zhang, Yue-Jiao Gong, Zeyuan Ma, Jun Zhang

CoRR, December, 2025

Evolutionary System 2 Reasoning: An Empirical Proof.

Zeyuan Ma, Wenqi Huang, Guo-Huan Song, Hongshu Guo, Sijie Ma, Zhiguang Cao, Yue-Jiao Gong

CoRR, December, 2025

Learning Where, What and How to Transfer: A Multi-Role Reinforcement Learning Approach for Evolutionary Multitasking.

Jiajun Zhan, Zeyuan Ma, Yue-Jiao Gong, Kay Chen Tan

CoRR, November, 2025

DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization.

Hongshu Guo, Zeyuan Ma, Yining Ma, Xinglin Zhang, Wei-Neng Chen, Yue-Jiao Gong

CoRR, May, 2025

Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization.

Hongshu Guo, Wenjie Qiu, Zeyuan Ma, Xinglin Zhang, Jun Zhang, Yue-Jiao Gong

CoRR, April, 2025

MSNet: a novel network with comprehensive multi-scale feature integration for gastric cancer and colon polyp segmentation.

Dongzhi He, Chenxi Li, Zeyuan Ma, Yunqi Li

Signal Image Video Process., January, 2025

Prompt-supervised dynamic attention graph convolutional network for skeleton-based action recognition.

Shasha Zhu, Lu Sun, Zeyuan Ma, Chenxi Li, Dongzhi He

Neurocomputing, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Meta-Black-Box-Optimization through Offline Q-function Learning.

Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization.

Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning.

Zeyuan Ma, Hongqiao Lian, Wenjie Qiu, Yue-Jiao Gong

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study.

Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, Yue-Jiao Gong

Proceedings of the Genetic and Evolutionary Computation Conference, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution.

Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong

IEEE Trans. Syst. Man Cybern. Syst., July, 2024

Neural Exploratory Landscape Analysis.

Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong

CoRR, 2024

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation.

Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Guojun Peng, Zhiguang Cao, Yining Ma, Yue-Jiao Gong

CoRR, 2024

Dual-Branch Fully Convolutional Segment Anything Model for Lesion Segmentation in Endoscopic Images.

Dongzhi He, Zeyuan Ma, Chenxi Li, Yunqi Li

IEEE Access, 2024

SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning.

Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning.

Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning.

Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adaptive path planning method for UAVs in complex environments.

Zeyuan Ma, Jing Chen

Int. J. Appl. Earth Obs. Geoinformation, 2022

2021

An efficient computational approach for automatic itinerary planning on web servers.

Zeyuan Ma, Hongshu Guo, Yinxuan Gui, Yue-Jiao Gong

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021