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Mengjie Zhang

Victoria University of Wellington, New Zealand

20 papers at tracked venues · 3 at CORE A* · active 2024–2026

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Venues

GECCO ×12IJCAI ×3PPSN ×2AAAI ×1ACL ×1ICLR ×1

Frequent coauthors

Alberto Tonda
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Hengzhe Zhang
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Danlin Li
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Zhicheng Wu
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Xiangling Chen
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Haoran Gu
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Yuchen Li
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Quan Long
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Junwei Pang
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Zhixing Huang
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Bing Xue
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Junhao Huang
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Papers

  1. A Genetic Programming Multi-Agent Topology Optimization Method under Stability Constraints
    GECCO 2026 ·
    Danlin Li
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  2. MEFL: A Two-Stage Evolutionary Feature Learning Approach to Skin Cancer Diagnosis from Multimodal Data
    GECCO 2026 ·
    Zhicheng Wu
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  3. MODE: Manifold Operator Decoding Embeddings for Neural Neighborhood Search for Vehicle Routing Problems
    GECCO 2026 ·
    Xiangling Chen
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  4. ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models Using Pareto High-Quality Data
    AAAI 2026 ·
    Haoran Gu
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  5. Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design
    ACL 2026 ·
    Yuchen Li
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  6. A Multi-Objective Approach to Optimizing Kolmogorov-Arnold Networks for Classification Tasks to Balance Accuracy and Interpretability
    GECCO 2025 ·
    Quan Long
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  7. A Multiform Many-Objective Genetic Programming Method for Dynamic Flexible Job Shop Scheduling
    GECCO 2025 ·
    Junwei Pang
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  8. Comparing Data Transformation Techniques for System Identification With Standard Symbolic Regression
    GECCO 2025 ·
    Alberto Tonda
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  9. Designing New Data Augmentation Functions for Fish Spectral Data by Genetic Programming
    GECCO 2025 ·
    Zhixing Huang
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  10. Evolutionary Computation for Feature Selection and Feature Construction
    GECCO 2025 ·
    Bing Xue
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  11. Evolving Comprehensive Proxies for Zero-Shot Neural Architecture Search
    GECCO 2025 ·
    Junhao Huang
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  12. GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy
    IJCAI 2025 ·
    Ya Shen
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  13. Learning Adaptive Neighborhood Search with Dual Operator Selection for Capacitated Vehicle Routing Problem
    GECCO 2025 ·
    Xiang-Ling Chen
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  14. LiBOG: Lifelong Learning for Black-Box Optimizer Generation
    IJCAI 2025 ·
    Jiyuan Pei
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  15. Particle Swarm Optimization for Automating Prompt Optimization in Large Language Models on Text Classification and Generation Tasks
    GECCO 2025 ·
    Linsen Li
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  16. RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression
    ICLR 2025 ·
    Hengzhe Zhang
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  17. Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS
    IJCAI 2025 ·
    Nan Li
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  18. When Data Transformations Mislead Symbolic Regression: Deceptive Search Spaces in System Identification
    GECCO 2025 ·
    Alberto Tonda
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  19. GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems
    PPSN 2024 ·
    Saining Liu
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  20. P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization
    PPSN 2024 ·
    Hengzhe Zhang
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