Publications
† corresponding author
★ equal contributions
- Conference papers
- AAAI 2026 Y. Li, D. Wang, W. Du, X. Wu, P. Zhao, Y. Xiao†, Y. Zhou, “Efficient Few-Step Solution Generation via Discrete Flow Matching for Combinatorial Optimization.” paper code
- NeurIPS 2025 J. Wang, Z. Cao, P. Zhao, R. Cao, Y. Xiao, Y. Jiang, Y. Zhou, “Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling.” paper code
- 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. Xiao, Y. Liang, H. Ge, H. Lee, C. Wu, “Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution.” paper code
IJCAI 2025 Y. Xiao, Y. Wu, R. Cao, D. Wang, Z. Cao, X. Wu, P. Zhao, Y. Li, Y. Zhou, Y. Jiang, “DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning.” paper code
WWW 2025 P. Zhao, Y. Zhou, D. Wang, Z. Cao, Y. Xiao, X. Wu, Y. Li, H. Liu, W. Du, Y. Jiang, L. Wang, “Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning.” paper code
KDD 2025 M. Wang, Y. Zhou, Z. Cao, Y. Xiao, X. Wu, W. Pang, Y. Jiang, H. Yang, P. Zhao, Y. Li, “An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem.” paper code
AAAI 2024 Y. Xiao, D. Wang, B. Li, M. Wang, X. Wu, C. Zhou, Y. Zhou, “Distilling autoregressive models to obtain high-performance non-autoregressive solvers for vehicle routing problems with faster inference speed.” paper code blog
ICONIP 2023 Y. Li, Y. Xiao, X. Wu, L. Song, Y. Liang, Y. Zhou, “Leveraging Hierarchical Similarities for Contrastive Clustering.” paper code
- CCAI 2023 S. Jiao, Y. Xiao†, X. Wu, Y. Liang, Y. Liang, Y. Zhou, “LMSPNet: Improved Lightweight Network for Multi-Person Sitting Posture Recognition.” paper code
Journal Articles
IJCV H. Li★, Y. Xiao★, K. Liang, M. Wang, L. Lan, K. Li, X. Liu, “Let synthetic data shine: Domain reassembly and soft-fusion for single domain generalization.” paper code
PR 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.” paper code
ESWA M. Chi, W. Pang, X. Wu, P. Zhao, Y. Li, T. Wang, J. Qian, Y. Xiao†, L Wang, Y. Zhou, “A generalized neural solver based on LLM-guided heuristic evoluation framework for solving diverse variants of vehicle routing problems.” paper code
Neural Networks 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.” paper code
TNNLS Y. Xiao, D. Wang, B. Li, H. Chen, W. Pang, X. Wu, H. Li, D. Xu, Y. Liang, Y. Zhou, “Reinforcement learning-based nonautoregressive solver for traveling salesman problems.” paper code blog
Complex & Intelligent Systems H. Liu, Y. Xiao, X. Wu, Y. Li, P. Zhao, Y. Liang, L. Wang, Y. Zhou, “Semhybridnet: a semantically enhanced hybrid CNN-transformer network for radar pulse image segmentation.” paper code
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.” paper code
Bmc bio Y. Xiao, Z. Xiao, X. Feng, Z. Chen, L. Kuang, L. Wang, “A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairs.” paper code