Xuan Wu
Orcid: 0000-0002-0989-6718Affiliations:
- Jilin University, Changchun, China
According to our database1,
Xuan Wu authored at least 25 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
WeCon: An Efficient Weight-Conditioned Neural Solver for Multi-Objective Combinatorial Optimization Problems.
CoRR, May, 2026
GELD: A unified neural model for efficiently solving traveling salesman problems across different scales.
Pattern Recognit., 2026
A generalized neural solver based on LLM-guided heuristic evoluation framework for solving diverse variants of vehicle routing problems.
Expert Syst. Appl., 2026
Efficient Few-Step Solution Generation via Discrete Flow Matching for Combinatorial Optimization.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
TCIP: Threshold-Controlled Iterative Pyramid Network for Deformable Medical Image Registration.
CoRR, October, 2025
Reinforcement Learning-Based Nonautoregressive Solver for Traveling Salesman Problems.
IEEE Trans. Neural Networks Learn. Syst., July, 2025
Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem.
CoRR, July, 2025
Improving generalization of neural Vehicle Routing Problem solvers through the lens of model architecture.
Neural Networks, 2025
Expert Syst. Appl., 2025
Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning.
Proceedings of the ACM on Web Conference 2025, 2025
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
2024
Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming.
IEEE Trans. Evol. Comput., June, 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives.
CoRR, 2024
Semhybridnet: a semantically enhanced hybrid CNN-transformer network for radar pulse image segmentation.
Complex Intell. Syst., 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Appl. Intell., August, 2023
Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO.
Swarm Evol. Comput., 2023
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems.
CoRR, 2023
An Automatic Assessment Model of Adenoid Hypertrophy in MRI Images Based on Deep Convolutional Neural Networks.
IEEE Access, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2021
Surprisingly Popular Algorithm-based Adaptive Euclidean Distance Topology Learning PSO.
CoRR, 2021
CoRR, 2021