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Yue-Jiao Gong

South China University of Technology, School of Computer Science and Engineering, angzhou, China

22 papers at tracked venues · 12 at CORE A* · active 2024–2026

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Venues

GECCO ×9AAAI ×3ICLR ×3NeurIPS ×2SIGKDD ×2ACL ×1CIKM ×1ICML ×1

Frequent coauthors

Zeyuan Ma
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Wenjie Qiu
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Hongshu Guo
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Zipei Yu
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Zijian Gao
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Xin Huang
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Yue Wu
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Chen Wang
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Yuanting Zhong
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Yifei Chen
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Qi Li
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Junjun Li
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Papers

  1. A Learning-Based Cooperative Coevolution Framework for Heterogeneous Large-Scale Global Optimization
    GECCO 2026 ·
    Wenjie Qiu
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  2. Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
    GECCO 2026 ·
    Wenjie Qiu
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  3. COBRA++: Enhanced COBRA Optimizer with Augmented Surrogate Pool and Reinforced Surrogate Selection
    GECCO 2026 ·
    Zipei Yu
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  4. Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization
    GECCO 2026 ·
    Zijian Gao
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  5. GMFL: Efficient Global Masking for Federated LLM Fine-tuning
    ACL 2026 ·
    Xin Huang
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  6. GeM-EA: A Generative and Meta-learning Enhanced Evolutionary Algorithm for Streaming Data-Driven Optimization
    GECCO 2026 ·
    Yue Wu
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  7. Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering
    AAAI 2026 ·
    Chen Wang
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  8. TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
    AAAI 2026 ·
    Yuanting Zhong
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  9. A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping
    GECCO 2025 ·
    Wenjie Qiu
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  10. Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning
    GECCO 2025 ·
    Zeyuan Ma
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  11. ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
    AAAI 2025 ·
    Hongshu Guo
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  12. ConsensNet: A Unified Consensus-Centric Framework for Incomplete Multi-View Clustering
    CIKM 2025 ·
    Yifei Chen
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  13. DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
    NeurIPS 2025 ·
    Hongshu Guo
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  14. Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
    SIGKDD 2025 ·
    Qi Li
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  15. Learn to Refine: Synergistic Multi-Agent Path Optimization for Lifelong Conflict-Free Navigation of Autonomous Vehicles
    SIGKDD 2025 ·
    Junjun Li
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  16. Meta-Black-Box-Optimization through Offline Q-function Learning
    ICML 2025 ·
    Zeyuan Ma
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  17. MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization
    NeurIPS 2025 ·
    Zeyuan Ma
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  18. Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
    ICLR 2025 ·
    Zeyuan Ma
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  19. Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning
    GECCO 2025 ·
    Hongshu Guo
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  20. Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
    ICLR 2025 ·
    Jinbiao Chen
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  21. Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
    GECCO 2025 ·
    Zeyuan Ma
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  22. SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
    ICLR 2024 ·
    Jiacheng Chen
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