Scholar
Xuan Wu
Google Scholar ID: euFhn8cAAAAJ
Jilin University
Citations & Impact
Citations
206
H-index
8
i10-index
6
Publications
20
Co-authors
9
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- [{'Type': 'Conference Paper', 'Title': 'Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models', 'PublishedIn': 'KDD 2025'}, {'Type': 'Conference Paper', 'Title': 'Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution', 'PublishedIn': 'KDD 2025'}, {'Type': 'Journal Article', 'Title': 'Neural Architecture Search for Text Classification with Limited Computing Resources using Efficient Cartesian Genetic Programming', 'PublishedIn': 'TEVC 2024'}, {'Type': 'Journal Article', 'Title': 'Incorporating Surprisingly Popular Algorithm and Euclidean Distance-based Adaptive Topology into PSO', 'PublishedIn': 'SWEVO 2023'}, {'Type': 'Journal Article', 'Title': 'KeypointNet: An Efficient Deep Learning Model with Multi-View Recognition Capability for Sitting Posture Recognition', 'PublishedIn': 'Electronics 2025'}, {'Type': 'Journal Article', 'Title': 'Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture', 'PublishedIn': 'NEUNET 2025'}, {'Type': 'Pre-print', 'Title': 'Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem', 'PublishedIn': 'arXiv 2025'}, {'Type': 'Pre-print', 'Title': 'Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives', 'PublishedIn': 'arXiv 2024'}, {'Type': 'Pre-print', 'Title': 'GELD: A Unified Neural Model for Efficiently Solving Traveling Salesman Problems Across Different Scales', 'PublishedIn': 'arXiv 2025'}, {'Type': 'Pre-print', 'Title': 'TCIP: Threshold-Controlled Iterative Pyramid Network for Deformable Medical Image Registration', 'PublishedIn': 'arXiv 2025'}]
Background
- Currently pursuing a Ph.D. in the College of Computer Science and Technology at Jilin University, with research interests in the field of Learning to Optimize (L2Opt), particularly focusing on leveraging deep neural networks to solve challenging Combinatorial Optimization Problems (COPs). Also interested in exploring the automatic design of algorithms with the help of Large Language Models (LLMs).
Miscellany
- Feel free to contact if you are interested in collaborating! 🤝🤝🤝
