Yaoxin Wu

According to our database, Yaoxin Wu authored at least 34 papers between 2016 and 2024.

Collaborative distances:

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

2024

Learning Feature Embedding Refiner for Solving Vehicle Routing Problems.

Jingwen Li, Yining Ma, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang, Yeow Meng Chee

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Multi-Type Attention for Solving Multi-Depot Vehicle Routing Problems.

Jinqi Li, Bing Tian Dai, Yunyun Niu, Jianhua Xiao, Yaoxin Wu

IEEE Trans. Intell. Transp. Syst., November, 2024

LEGAN: Addressing Intraclass Imbalance in GAN-Based Medical Image Augmentation for Improved Imbalanced Data Classification.

Hongwei Ding, Nana Huang, Yaoxin Wu, Xiaohui Cui

IEEE Trans. Instrum. Meas., 2024

A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity.

Fuquan Wang, Yaping Fu, Kaizhou Gao, Yaoxin Wu, Song Gao

Complex Syst. Model. Simul., 2024

Learning to Handle Complex Constraints for Vehicle Routing Problems.

Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang

CoRR, 2024

Collaboration! Towards Robust Neural Methods for Routing Problems.

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

CoRR, 2024

UNCO: Towards Unifying Neural Combinatorial Optimization through Large Language Model.

Xia Jiang, Yaoxin Wu, Yuan Wang, Yingqian Zhang

CoRR, 2024

Graph Neural Networks for Job Shop Scheduling Problems: A Survey.

Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Wim Nuijten, Yingqian Zhang

CoRR, 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

MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning.

Yu Sun, Kai Wang, Zhipeng Hu, Runze Wu, Yaoxin Wu, Wen Song, Xudong Shen, Tangjie Lv, Changjie Fan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Cross-Problem Learning for Solving Vehicle Routing Problems.

Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts.

Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Synthetic Data Augmentation for Infrared Small Target Detection via Exploring Frequency Components and Targets Prior.

Yaoxin Wu, Hongwei Ding, Yunqi Liu, Zerui Wen, Xiaohui Cui

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling.

Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.

Yaoxin Wu, Mingfeng Fan, Zhiguang Cao, Ruobin Gao, Yaqing Hou, Guillaume Sartoretti

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 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

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