PPaperPicks

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

DBLP profile ↗ORCID 0000-0003-1152-6780 ↗Google Scholar ↗Homepage ↗

Venues

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

Frequent coauthors

Qingfu Zhang
×13
Xi Lin
×11
Fei Liu
×11
Fu Luo
×6
Xialiang Tong
×6
Mingxuan Yuan
×6
Zhi Zheng
×6
Zhichao Lu
×4
Yaoxin Wu
×3
Ruihao Zheng
×3
Zhe Zhao
×2
Haibin Wen
×2

Papers

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