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Xi Lin

City University of Hong Kong, Department of Computer Science, Hong Kong

21 papers at tracked venues · 17 at CORE A* · active 2024–2026

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Venues

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

Frequent coauthors

Fei Liu
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Ping Guo
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Fu Luo
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Song Lai
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Bo Xue
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Xiaoyuan Zhang
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Shunyu Yao
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Chengyu Lu
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Zhe Zhao
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Yilu Liu
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Ke Xue
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Rui Zhang
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Papers

  1. CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
    AAAI 2026 ·
    Ping Guo
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  2. Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
    ICLR 2025 ·
    Fu Luo
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  3. Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
    ICLR 2025 · Xi Lin
  4. Gradient-Guided Epsilon Constraint Method for Online Continual Learning
    NeurIPS 2025 ·
    Song Lai
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  5. Learning to Insert for Constructive Neural Vehicle Routing Solver
    NeurIPS 2025 ·
    Fu Luo
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  6. MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
    CVPR 2025 ·
    Ping Guo
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  7. Multi-Objective Evolution of Heuristic Using Large Language Model
    AAAI 2025 ·
    Shunyu Yao
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  8. Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
    AAAI 2025 ·
    Bo Xue
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  9. Neural Evolution Strategy for Black-box Pareto Set Learning
    NeurIPS 2025 ·
    Chengyu Lu
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  10. Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
    AAAI 2025 ·
    Song Lai
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  11. Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions
    IJCAI 2025 ·
    Bo Xue
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  12. TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
    NeurIPS 2025 ·
    Zhe Zhao
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  13. Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
    ICML 2024 ·
    Fei Liu
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  14. Gliding over the Pareto Front with Uniform Designs
    NeurIPS 2024 ·
    Xiaoyuan Zhang
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  15. LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
    NeurIPS 2024 ·
    Xiaoyuan Zhang
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  16. Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives
    PPSN 2024 ·
    Yilu Liu
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  17. Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
    SIGKDD 2024 ·
    Fei Liu
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  18. Prompt Learning for Generalized Vehicle Routing
    IJCAI 2024 ·
    Fei Liu
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  19. Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
    NeurIPS 2024 ·
    Ke Xue
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  20. Smooth Tchebycheff Scalarization for Multi-Objective Optimization
    ICML 2024 · Xi Lin
  21. Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
    PPSN 2024 ·
    Rui Zhang
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