Hi, I am currently pursuing my Ph.D. degree in the College of Computer Science and Technology at Jilin University (JLU), under the supervision of Prof. You Zhou. Previously, I was a visiting Ph.D. student at Nanyang Technological University (NTU), working with Senior Research Fellow Di Wang, with support from the China Scholarship Council (CSC). I received my B.Sc. from JLU in 2020, advised by Prof. Chunguo Wu.

I have published over ten papers in top-tier conferences and journals, including KDD, AAAI, TNNLS, TEVC, etc. You can find a full list of my publications and CV. Please feel free to contact me if you are interested in collaboration! 🤝🤝🤝

💡 Research Interests

My research interests lie in the emerging field of Learning to Optimize (L2Opt), with a particular focus on leveraging deep neural networks to solve challenging combinatorial optimization problems (COPs). I am also interested in exploring the automatic design of algorithms with the help of large language models (LLMs).

📚 Education

Jilin University, China

Ph.D. in the College of Computer Science and Technology
Sep. 2022 – Present

Nanyang Technological University, Singapore

Visiting Ph.D. Student in the College of Computing and Data Science
Nov. 2023 – Nov. 2024

Jilin University, China

M.Sc. in the College of Computer Science and Technology
Sep. 2020 – Jul. 2022

Jilin University, China

B.Sc. in the College of Computer Science and Technology
Sep. 2016 – Jul. 2020

📑 Selected Publications

★ equal contributions, † corresponding authors

Conference Proceedings

• KDD 2025 X. Wu, D. Wang, C. Wu, et al., “Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models.” paper code
• KDD 2025 W. Song★, X. Wu★, B. Yang, et al., “Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution.” paper code
• ICIS 2022 X. Wu, J. Huang, X. Fu, et al., “The Novel Characterizing Method of Collective Behavior Pattern in PSO.” paper

  Journal Articles

• TEVC X. Wu, D. Wang, H. Chen, et al., “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, et al., “Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO,” 2023. paper code
• Electronics Z. Cao★, X. Wu★, C. Wu, et al., “KeypointNet: An Efficient Deep Learning Model with Multi-View Recognition Capability for Sitting Posture Recognition,” 2025. paper
• Neural Networks Y. Xiao, D. Wang, X. Wu†, et al., “Improving generalization of neural vehicle routing problem solvers through the lens of model architecture,” 2025. paper code

  Pre-prints

• X. Wu, D. Wang, L. Wen, et al., “Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives,” arXiv 2406.00415, 2024. paper
• Y. Xiao, D. Wang, X. Wu†, et al., “GELD: A Unified Neural Model for Efficiently Solving Traveling Salesman Problems Across Different Scales,” arXiv 2506.06634, 2025. paper code

💼 Services

Conference Reviewer • ICLR’2025

Journal Reviewer • IEEE TNNLS • IEEE TEVC