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Zhenkun Wang

Southern University of Science and Technology, School of System Design and Intelligent Manufacturing, Department of Computer Science and Engineering, Shenzhen, China

26 papers at tracked venues · 22 at CORE A* · active 2024–2025

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Venues

NeurIPS ×7ICML ×6AAAI ×4ICLR ×2PPSN ×2SIGKDD ×2CVPR ×1IJCAI ×1MICCAI ×1

Frequent coauthors

Fu Luo
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Zhi Zheng
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Fei Liu
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Zhe Zhao
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Ruihao Zheng
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Xi Lin
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Han Li
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Lindong Xie
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Ke Li
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Yuanyao Chen
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Ping Guo
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Yuepeng Zheng
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Papers

  1. Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
    ICML 2025 ·
    Zhe Zhao
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  2. Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
    ICLR 2025 ·
    Fu Luo
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  3. Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization
    AAAI 2025 ·
    Ruihao Zheng
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  4. CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
    ICML 2025 ·
    Han Li
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  5. Co-Evolution of Large Language Models and Configuration Strategies to Enhance Surrogate-Assisted Evolutionary Algorithm
    SIGKDD 2025 ·
    Lindong Xie
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  6. Destroy and Repair Using Hyper-Graphs for Routing
    AAAI 2025 ·
    Ke Li
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  7. Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
    ICLR 2025 ·
    Xi Lin
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  8. Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
    NeurIPS 2025 ·
    Yuanyao Chen
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  9. Learning to Insert for Constructive Neural Vehicle Routing Solver
    NeurIPS 2025 ·
    Fu Luo
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  10. MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
    CVPR 2025 ·
    Ping Guo
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  11. MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver
    NeurIPS 2025 ·
    Yuepeng Zheng
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  12. Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
    ICML 2025 ·
    Zhi Zheng
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  13. Multi-Objective Evolution of Heuristic Using Large Language Model
    AAAI 2025 ·
    Shunyu Yao
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  14. Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees
    NeurIPS 2025 ·
    Fu Luo
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  15. TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
    NeurIPS 2025 ·
    Zhe Zhao
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  16. Boundary Decomposition for Nadir Objective Vector Estimation
    NeurIPS 2024 ·
    Ruihao Zheng
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  17. DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
    ICML 2024 ·
    Zhi Zheng
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  18. Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
    ICML 2024 ·
    Fei Liu
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  19. Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret
    AAAI 2024 ·
    Rui Sun
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  20. Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
    SIGKDD 2024 ·
    Fei Liu
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  21. Prompt Learning for Generalized Vehicle Routing
    IJCAI 2024 ·
    Fei Liu
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  22. Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization
    PPSN 2024 ·
    Kai Li
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  23. Smooth Tchebycheff Scalarization for Multi-Objective Optimization
    ICML 2024 ·
    Xi Lin
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  24. Tail-Enhanced Representation Learning for Surgical Triplet Recognition
    MICCAI 2024 ·
    Shuangchun Gui
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  25. UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
    NeurIPS 2024 ·
    Zhi Zheng
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  26. Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
    PPSN 2024 ·
    Rui Zhang
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