Wu, Yaoxin

34 publications

TMLR 2026 End-to-End Deep Reinforcement Learning for Stochastic Multi-Objective Optimization in C-VRPTW Abdo Abouelrous, Laurens Bliek, Yaoxin Wu, Yingqian Zhang

ICLR 2026 Generalizable Heuristic Generation Through LLMs with Meta-Optimization Yiding Shi, Jianan Zhou, Wen Song, Jieyi Bi, Yaoxin Wu, Zhiguang Cao, Jie Zhang

ICLR 2026 Instance-Wise Adaptive Scheduling via Derivative-Free Meta-Learning Hefang Qing, Miao Zhang, Yaoxin Wu, Weinan Huang, Jianhao Yang, Wen Song, Gang Wang

ICLR 2026 Neural Multi-Objective Combinatorial Optimization for Flexible Job Shop Scheduling Problems Igor G. Smit, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P.M. Nuijten

ICLR 2026 Towards Efficient Constraint Handling in Neural Solvers for Routing Problems Jieyi Bi, Zhiguang Cao, Jianan Zhou, Wen Song, Yaoxin Wu, Jie Zhang, Yining Ma, Cathy Wu

ICLR 2025 Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Tong Xialiang, Mingxuan Yuan, Qingfu Zhang

ICLR 2025 DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints Xia Jiang, Yaoxin Wu, Chenhao Zhang, Yingqian Zhang

IJCAI 2025 EFormer: An Effective Edge-Based Transformer for Vehicle Routing Problems Dian Meng, Zhiguang Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge, Qiang Zhang

TMLR 2025 Enhancing Remaining Useful Life Prediction with Ensemble Multi-Term Fourier Graph Neural Networks Ya Song, Laurens Bliek, Yaoxin Wu, Yingqian Zhang

ICML 2025 Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Robbert Reijnen, Yaoxin Wu, Zaharah Bukhsh, Yingqian Zhang

NeurIPS 2025 Large Language Models as End-to-End Combinatorial Optimization Solvers Xia Jiang, Yaoxin Wu, Minshuo Li, Zhiguang Cao, Yingqian Zhang

NeurIPS 2025 MTL-KD: Multi-Task Learning via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver Yuepeng Zheng, Fu Luo, Zhenkun Wang, Yaoxin Wu, Yu Zhou

AAAI 2025 Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems Igor G. Smit, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten

ICLR 2025 Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion Jinbiao Chen, Jiahai Wang, Zhiguang Cao, Yaoxin Wu

IJCAI 2025 Preference-Based Deep Reinforcement Learning for Historical Route Estimation Boshen Pan, Yaoxin Wu, Zhiguang Cao, Yaqing Hou, Guangyu Zou, Qiang Zhang

NeurIPS 2025 Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation Mingfeng Fan, Jianan Zhou, Yifeng Zhang, Yaoxin Wu, Jinbiao Chen, Guillaume Adrien Sartoretti

NeurIPS 2025 Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees Fu Luo, Yaoxin Wu, Zhi Zheng, Zhenkun Wang

ICLR 2025 Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding Jinbiao Chen, Zhiguang Cao, Jiahai Wang, Yaoxin Wu, Hanzhang Qin, Zizhen Zhang, Yue-Jiao Gong

NeurIPS 2025 UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems Dian Meng, Zhiguang Cao, Jie Gao, Yaoxin Wu, Yaqing Hou

NeurIPS 2024 Collaboration! Towards Robust Neural Methods for Routing Problems Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen

IJCAI 2024 Cross-Problem Learning for Solving Vehicle Routing Problems Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu

ICLR 2024 Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang

UAI 2024 Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun

NeurIPS 2024 Learning to Handle Complex Constraints for Vehicle Routing Problems Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang

ICML 2024 MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Xu Chi

NeurIPS 2023 Ensemble-Based Deep Reinforcement Learning for Vehicle Routing Problems Under Distribution Shift Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang

UAI 2023 Multi-View Graph Contrastive Learning for Solving Vehicle Routing Problems Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang

NeurIPS 2023 Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang

ICML 2023 Towards Omni-Generalizable Neural Methods for Vehicle Routing Problems Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

NeurIPS 2022 Graph Learning Assisted Multi-Objective Integer Programming Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin

ICLR 2022 Learning Scenario Representation for Solving Two-Stage Stochastic Integer Programs Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

AAAI 2022 Learning to Solve Routing Problems via Distributionally Robust Optimization Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang

ICLR 2022 NASPY: Automated Extraction of Automated Machine Learning Models Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Yaoxin Wu, Tianwei Zhang

NeurIPS 2021 Learning Large Neighborhood Search Policy for Integer Programming Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang