Yaoxin Wu

According to our database, Yaoxin Wu authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

2023

Neural Airport Ground Handling.

Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang

IEEE Trans. Intell. Transp. Syst., December, 2023

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.

Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen

IEEE Trans. Knowl. Data Eng., September, 2023

Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations.

Mingfeng Fan, Yaoxin Wu, Tianjun Liao, Zhiguang Cao, Hongliang Guo, Guillaume Sartoretti, Guohua Wu

IEEE Trans. Veh. Technol., May, 2023

Instance-specific algorithm configuration via unsupervised deep graph clustering.

Wen Song, Yi Liu, Zhiguang Cao, Yaoxin Wu, Qiqiang Li

Eng. Appl. Artif. Intell., 2023

Hypergrah-Enhanced Dual Convolutional Network for Bundle Recommendation.

Kangbo Liu, Yang Li, Yaoxin Wu, Zhaoxuan Wang, Xiaoxu Wang

CoRR, 2023

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems.

Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

CoRR, 2023

Multi-view graph contrastive learning for solving vehicle routing problems.

Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift.

Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement.

Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems.

Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Neural combinatorial optimization: from routing to integer programming

Yaoxin Wu

PhD thesis, 2022

Learning Improvement Heuristics for Solving Routing Problems.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim

IEEE Trans. Neural Networks Learn. Syst., 2022

Graph Learning Assisted Multi-Objective Integer Programming.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

NASPY: Automated Extraction of Automated Machine Learning Models.

Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Yaoxin Wu, Tianwei Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning to Solve Routing Problems via Distributionally Robust Optimization.

Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning Large Neighborhood Search Policy for Integer Programming.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

An Accurate Solution to the Cardinality-Based Punctuality Problem.

Zhiguang Cao, Yaoxin Wu, Akshay Rao, Felix Klanner, Stefan Erschen, Wei Chen, Le Zhang, Hongliang Guo

IEEE Intell. Transp. Syst. Mag., 2020

2019

Learning Improvement Heuristics for Solving the Travelling Salesman Problem.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim

CoRR, 2019

2016

Improving the performance of arrival on time in stochastic shortest path problem.

Yaoxin Wu, Wei Chen, Xuexi Zhang, Guangjun Liao

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016