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2020 – today
- 2025
[j4]Shasha Zhu, Lu Sun, Zeyuan Ma, Chenxi Li, Dongzhi He:
Prompt-supervised dynamic attention graph convolutional network for skeleton-based action recognition. Neurocomputing 611: 128623 (2025)- 2024
- [j3]Dongzhi He
, Zeyuan Ma, Chenxi Li, Yunqi Li:
Dual-Branch Fully Convolutional Segment Anything Model for Lesion Segmentation in Endoscopic Images. IEEE Access 12: 125654-125667 (2024) - [j2]Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong:
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. 54(7): 4247-4259 (2024) - [c5]Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong:
RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. GECCO 2024 - [c4]Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong:
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. GECCO 2024 - [c3]Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong:
SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. ICLR 2024 - [i8]Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong:
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. CoRR abs/2402.02355 (2024) - [i7]Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Guojun Peng, Zhiguang Cao, Yining Ma, Yue-Jiao Gong:
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation. CoRR abs/2403.01131 (2024) - [i6]Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong:
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. CoRR abs/2403.02131 (2024) - [i5]Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong:
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. CoRR abs/2404.08239 (2024) - [i4]Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong:
RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. CoRR abs/2404.08242 (2024) - [i3]Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong:
Neural Exploratory Landscape Analysis. CoRR abs/2408.10672 (2024) - [i2]Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong, Jun Zhang, Kay Chen Tan:
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. CoRR abs/2411.00625 (2024) - 2023
- [c2]Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao:
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. NeurIPS 2023 - [i1]Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao:
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. CoRR abs/2310.08252 (2023) - 2022
- [j1]Zeyuan Ma, Jing Chen:
Adaptive path planning method for UAVs in complex environments. Int. J. Appl. Earth Obs. Geoinformation 115: 103133 (2022) - 2021
- [c1]Zeyuan Ma, Hongshu Guo, Yinxuan Gui, Yue-Jiao Gong:
An efficient computational approach for automatic itinerary planning on web servers. GECCO 2021: 991-999
Coauthor Index
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