Xuan Wu

Xuan Wu

I am currently pursuing my Ph.D. at Jilin University.

📑 Selected Publications

📑 Selected Publications

★ equal contributions, † corresponding authors

Conference Proceedings

  • KDD 2025 X. Wu, D. Wang, C. Wu, L. Wen, C, Miao, Y. Xiao, Y. Zhou, “Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models.” paper code
  • KDD 2025 W. Song★, X. Wu★, B. Yang, Y. Zhou, Y. Liang, H. Ge, H. P. Lee, C. Wu, “Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution.” paper code

Journal Articles

  • TEVC X. Wu, D. Wang, H. Chen, L. Yan, Y. Xiao, C. Miao, H. Ge, D. Xu, Y. Liang, K. Wang, C. Wu, Y. Zhou, “Neural Architecture Search for Text Classification with Limited Computing Resources using Efficient Cartesian Genetic Programming,” 2024. paper code
  • SWEVO X. Wu★, J. Han★, D. Wang, P. Gao, Q. Cui, L. Chen, Y. Liang, H. Huang, H. P. Lee, C. Miao, Y. Zhou, C. Wu, “Incorporating Surprisingly Popular Algorithm and Euclidean Distance-based Adaptive Topology into PSO,” 2023. paper code
  • Electronics Z. Cao★, X. Wu★, C. Wu, S. Jiao, Y. Xiao, Y. Zhang, Y. Zhou, “KeypointNet: An Efficient Deep Learning Model with Multi-View Recognition Capability for Sitting Posture Recognition,” 2025. paper
  • NEUNET Y. Xiao, D. Wang, X. Wu†, Y. Wu, B. Li, W. Du, L. Wang, Y. Zhou†, “Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture,” 2025. paper code

    Pre-prints

  • X. Wu, D. Wang, C. Wu, K. Qi, C. Miao, Y. Xiao, J. Zhang, Y. Zhou, “Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem,” arXiv 2507.21386, 2025. paper
  • X. Wu, D. Wang, L. Wen, Y. Xiao, C. Wu, Y. Wu, C. Yu, D. L. Maskell, Y. Zhou, “Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives,” arXiv 2406.00415, 2024. paper
  • Y. Xiao, D. Wang, R. Cao, X. Wu†, B. Li, Y. Zhou†, “GELD: A Unified Neural Model for Efficiently Solving Traveling Salesman Problems Across Different Scales,” arXiv 2506.06634, 2025. paper code