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Yaoxin Wu
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2020 – today
- 2024
- [j10]Fuquan Wang, Yaping Fu, Kaizhou Gao, Yaoxin Wu, Song Gao:
A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity. Complex Syst. Model. Simul. 4(2): 184-209 (2024) - [j9]Hongwei Ding
, Nana Huang
LEGAN: Addressing Intraclass Imbalance in GAN-Based Medical Image Augmentation for Improved Imbalanced Data Classification. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j8]Jinqi Li, Bing Tian Dai, Yunyun Niu
Multi-Type Attention for Solving Multi-Depot Vehicle Routing Problems. IEEE Trans. Intell. Transp. Syst. 25(11): 17831-17840 (2024) - [j7]Jingwen Li
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15279-15291 (2024) - [c16]Yaoxin Wu, Mingfeng Fan, Zhiguang Cao, Ruobin Gao, Yaqing Hou, Guillaume Sartoretti:
Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems. AAMAS 2024: 1956-1965 - [c15]Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang:
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. ICLR 2024 - [c14]Yaoxin Wu, Hongwei Ding, Yunqi Liu, Zerui Wen, Xiaohui Cui:
Synthetic Data Augmentation for Infrared Small Target Detection via Exploring Frequency Components and Targets Prior. ICME 2024: 1-6 - [c13]Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu:
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. ICML 2024 - [c12]Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu:
Cross-Problem Learning for Solving Vehicle Routing Problems. IJCAI 2024: 6958-6966 - [c11]Yu Sun
MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning. KDD 2024: 5741-5751 - [i15]Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun:
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem. CoRR abs/2402.17606 (2024) - [i14]Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu:
Cross-Problem Learning for Solving Vehicle Routing Problems. CoRR abs/2404.11677 (2024) - [i13]Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu:
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. CoRR abs/2405.01029 (2024) - [i12]Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Wim Nuijten, Yingqian Zhang
Graph Neural Networks for Job Shop Scheduling Problems: A Survey. CoRR abs/2406.14096 (2024) - [i11]Xia Jiang
UNCO: Towards Unifying Neural Combinatorial Optimization through Large Language Model. CoRR abs/2408.12214 (2024) - [i10]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen:
Collaboration! Towards Robust Neural Methods for Routing Problems. CoRR abs/2410.04968 (2024) - [i9]Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang:
Learning to Handle Complex Constraints for Vehicle Routing Problems. CoRR abs/2410.21066 (2024) - 2023
- [j6]Wen Song
Instance-specific algorithm configuration via unsupervised deep graph clustering. Eng. Appl. Artif. Intell. 125: 106740 (2023) - [j5]Yaoxin Wu, Jianan Zhou
Neural Airport Ground Handling. IEEE Trans. Intell. Transp. Syst. 24(12): 15652-15666 (2023) - [j4]Jianan Zhou
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. IEEE Trans. Knowl. Data Eng. 35(9): 9769-9782 (2023) - [j3]Mingfeng Fan
Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations. IEEE Trans. Veh. Technol. 72(5): 5732-5746 (2023) - [c10]Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. ICML 2023: 42769-42789 - [c9]Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang:
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. NeurIPS 2023 - [c8]Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang:
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift. NeurIPS 2023 - [c7]Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang:
Multi-view graph contrastive learning for solving vehicle routing problems. UAI 2023: 984-994 - [i8]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. CoRR abs/2302.13797 (2023) - [i7]Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang:
Neural Airport Ground Handling. CoRR abs/2303.02442 (2023) - [i6]Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. CoRR abs/2305.19587 (2023) - [i5]Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang:
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. CoRR abs/2310.15195 (2023) - [i4]Kangbo Liu, Yang Li, Yaoxin Wu, Zhaoxuan Wang, Xiaoxu Wang:
Hypergrah-Enhanced Dual Convolutional Network for Bundle Recommendation. CoRR abs/2312.11018 (2023) - 2022
- [b1]Yaoxin Wu:
Neural combinatorial optimization: from routing to integer programming. Nanyang Technological University, Singapore, 2022 - [j2]Yaoxin Wu
Learning Improvement Heuristics for Solving Routing Problems. IEEE Trans. Neural Networks Learn. Syst. 33(9): 5057-5069 (2022) - [c6]Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang:
Learning to Solve Routing Problems via Distributionally Robust Optimization. AAAI 2022: 9786-9794 - [c5]Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Yaoxin Wu, Tianwei Zhang:
NASPY: Automated Extraction of Automated Machine Learning Models. ICLR 2022 - [c4]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs. ICLR 2022 - [c3]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin:
Graph Learning Assisted Multi-Objective Integer Programming. NeurIPS 2022 - [i3]Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang:
Learning to Solve Routing Problems via Distributionally Robust Optimization. CoRR abs/2202.07241 (2022) - 2021
- [c2]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Large Neighborhood Search Policy for Integer Programming. NeurIPS 2021: 30075-30087 - [i2]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Large Neighborhood Search Policy for Integer Programming. CoRR abs/2111.03466 (2021) - 2020
- [j1]Zhiguang Cao
An Accurate Solution to the Cardinality-Based Punctuality Problem. IEEE Intell. Transp. Syst. Mag. 12(4): 78-91 (2020)
2010 – 2019
- 2019
- [i1]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim:
Learning Improvement Heuristics for Solving the Travelling Salesman Problem. CoRR abs/1912.05784 (2019) - 2016
- [c1]Yaoxin Wu, Wei Chen, Xuexi Zhang, Guangjun Liao:
Improving the performance of arrival on time in stochastic shortest path problem. ITSC 2016: 2346-2353
Coauthor Index
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last updated on 2024-12-02 22:29 CET by the dblp team
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