Scholar
Zeyuan Ma
Google Scholar ID: Jcy8wPgAAAAJ
South China University of Technology
Meta-Black-Box Optimization
Reinforcement Learning
Learning to Optimize
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Citations & Impact
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Citations
230
H-index
9
i10-index
8
Publications
20
Co-authors
8
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Publications
21 items
Rethink Efficiency Side of Neural Combinatorial Solver: An Offline and Self-Play Paradigm
2026
Cited
0
Reinforcement Learning-assisted Constraint Relaxation for Constrained Expensive Optimization
2026
Cited
0
Surrogate Ensemble in Expensive Multi-Objective Optimization via Deep Q-Learning
2026
Cited
0
Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization
2026
Cited
0
COBRA++: Enhanced COBRA Optimizer with Augmented Surrogate Pool and Reinforced Surrogate Selection
2026
Cited
0
Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model
2026
Cited
0
READY: Reward Discovery for Meta-Black-Box Optimization
2026
Cited
0
Offline Multi-Task Multi-Objective Data-Driven Evolutionary Algorithm with Language Surrogate Model and Implicit Q-Learning
2025
Cited
0
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Resume (English only)
Co-authors
8 total
Yue-Jiao Gong (龚月姣)
South China University of Technology
Guo Hongshu
South China University of Technology
Yining Ma
Postdoctoral Associate, MIT
Zhiguang Cao
Singapore Management University
Co-author 5
Professor Kay Chen TAN
Chair Professor, Dept. of Data Science & Artificial Intelligence, Hong Kong Polytechnic University
Ran Cheng (程然)
The Hong Kong Polytechnic University
Co-author 8
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