Yaoxin Wu

99 papers A* 23A 5Journal 67Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A General Neural Backbone for Mixed-Integer Linear Optimization via Dual Attention.
CoRR
Peixin Huang, Yaoxin Wu, Yining Ma, Cathy Wu, Wen Song, Wei Zhang
2026 J jnl
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives.
CoRR
Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan
2026 J jnl
Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization.
CoRR
Shaodi Feng, Zhuoyi Lin, Yaoxin Wu, Haiyan Yin, Yan Jin, Senthilnath Jayavelu, Xun Xu
2026 J jnl
AnalogAgent: Self-Improving Analog Circuit Design Automation with LLM Agents.
CoRR
Zhixuan Bao, Zhuoyi Lin, Jiageng Wang, Jinhai Hu, Yuan Gao, Yaoxin Wu, Xiaoli Li, Xun Xu
2026 A* conf
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation.
AAAI
Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li
2026 J jnl
Cooperative Multiagent Advice Exchange via Topological Graph Learning.
IEEE Trans. Cogn. Dev. Syst.
Sihan Zhou, Yaqing Hou, Yaoxin Wu, Xiangchao Yu, Liran Zhou, Haiyin Piao, Qiang Zhang
2026 J jnl
DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial Optimization.
CoRR
Shengkai Chen, Zhiguang Cao, Jianan Zhou, Yaoxin Wu, Senthilnath Jayavelu, Zhuoyi Lin, Xiaoli Li, Shili Xiang
2026 J jnl
End-to-end Deep Reinforcement Learning for Stochastic Multi-objective Optimization in C-VRPTW.
Trans. Mach. Learn. Res.
Abdo Abouelrous, Laurens Bliek, Yaoxin Wu, Yingqian Zhang
2026 J jnl
Enhancing neural combinatorial optimization by progressive training paradigm.
Neurocomputing
Zhi Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge
2026 J jnl
LLMs for Human Mobility: Opportunities, Challenges, and Future Directions.
CoRR
Jie Gao, Yaoxin Wu
2026 J jnl
Mamba Meets Scheduling: Learning to Solve Flexible Job Shop Scheduling with Efficient Sequence Modeling.
CoRR
Zhi Cao, Cong Zhang, Yaoxin Wu, Yaqing Hou, Hongwei Ge
2026 J jnl
Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization.
CoRR
Xia Jiang, Jing Chen, Cong Zhang, Jie Gao, Chengpeng Hu, Chenhao Zhang, Yaoxin Wu, Yingqian Zhang
2026 J jnl
Towards Efficient Constraint Handling in Neural Solvers for Routing Problems.
CoRR
Jieyi Bi, Zhiguang Cao, Jianan Zhou, Wen Song, Yaoxin Wu, Jie Zhang, Yining Ma, Cathy Wu
2026 J jnl
Towards Solving Polynomial-Objective Integer Programming with Hypergraph Neural Networks.
CoRR
Minshuo Li, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten
2025 J jnl
A Group-Based Many-Task Collaborative Optimization Framework for Evolutionary Robots Design.
IEEE Trans. Syst. Man Cybern. Syst.
Yaqing Hou, Zhaoping Yu, Zheng Guo, Wenbin Pei, Yaoxin Wu, Hongwei Ge, Bing Xue, Mengjie Zhang
2025 J jnl
A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem.
CoRR
Mingfeng Fan, Jiaqi Cheng, Yaoxin Wu, Yifeng Zhang, Yibin Yang, Guohua Wu, Guillaume Sartoretti
2025 J jnl
A deep reinforcement learning method for solving Two-Echelon Location-Routing Problem.
Comput. Oper. Res.
Shuo Huang, Yaoxin Wu, Zhiguang Cao, Xuexi Zhang
2025 A* conf
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems.
ICLR
Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2025 J jnl
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation.
CoRR
Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li
2025 J jnl
Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems.
IEEE Trans. Neural Networks Learn. Syst.
Mingfeng Fan, Yaoxin Wu, Zhiguang Cao, Wen Song, Guillaume Sartoretti, Huan Liu, Guohua Wu
2025 A* conf
DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints.
ICLR
Xia Jiang, Yaoxin Wu, Chenhao Zhang, Yingqian Zhang
2025 — conf
Deep Reinforcement Learning Based Genetic Framework for Flexible Job-Shop Scheduling Under Practical Constraints.
LION (1)
Kjell van Straaten, Robbert Reijnen, Zaharah Bukhsh, Yaoxin Wu, Yingqian Zhang
2025 J jnl
Deep Reinforcement Learning for Solving Vehicle Routing Problems With Backhauls.
IEEE Trans. Neural Networks Learn. Syst.
Conghui Wang, Zhiguang Cao, Yaoxin Wu, Long Teng, Guohua Wu
2025 — conf
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning.
KDD (1)
Qi Li, Zhiguang Cao, Yining Ma, Yaoxin Wu, Yue-Jiao Gong
2025 J jnl
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning.
CoRR
Qi Li, Zhiguang Cao, Yining Ma, Yaoxin Wu, Yue-Jiao Gong
2025 A* conf
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems.
IJCAI
Dian Meng, Zhiguang Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge, Qiang Zhang
2025 J jnl
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems.
CoRR
Dian Meng, Zhiguang Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge, Qiang Zhang
2025 J jnl
End-to-end Deep Reinforcement Learning for Stochastic Multi-objective Optimization in C-VRPTW.
CoRR
Abdo Abouelrous, Laurens Bliek, Yaoxin Wu, Yingqian Zhang
2025 J jnl
Enhancing Remaining Useful Life Prediction with Ensemble Multi-Term Fourier Graph Neural Networks.
Trans. Mach. Learn. Res.
Ya Song, Laurens Bliek, Yaoxin Wu, Yingqian Zhang
2025 J jnl
Enhancing the Cross-Size Generalization for Solving Vehicle Routing Problems via Continual Learning.
CoRR
Jingwen Li, Zhiguang Cao, Yaoxin Wu, Tang Liu
2025 J jnl
Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization.
CoRR
Yiding Shi, Jianan Zhou, Wen Song, Jieyi Bi, Yaoxin Wu, Jie Zhang
2025 J jnl
Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application.
CoRR
Abdo Abouelrous, Laurens Bliek, Adriana F. Gabor, Yaoxin Wu, Yingqian Zhang
2025 J jnl
Graph neural networks for job shop scheduling problems: A survey.
Comput. Oper. Res.
Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Yingqian Zhang, Wim Nuijten
2025 A* conf
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization.
ICML
Robbert Reijnen, Yaoxin Wu, Zaharah Bukhsh, Yingqian Zhang
2025 J jnl
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization.
CoRR
Robbert Reijnen, Yaoxin Wu, Zaharah Bukhsh, Yingqian Zhang
2025 J jnl
Improving Infrared Small Target Detection With GAN-Driven Data Augmentation.
IEEE Trans. Multim.
Hongwei Ding, Nana Huang, Yaoxin Wu, Xiaohui Cui
2025 J jnl
Improving imbalanced medical image classification through GAN-based data augmentation methods.
Pattern Recognit.
Hongwei Ding, Nana Huang, Yaoxin Wu, Xiaohui Cui
2025 J jnl
Infrared Small Target Detection Improvement via Hybrid Data Augmentation Using Diffusion Models and GAN.
IEEE Trans. Aerosp. Electron. Syst.
Hongwei Ding, Nana Huang, Yaoxin Wu, Xiaohui Cui
2025 J jnl
Large Language Models as End-to-end Combinatorial Optimization Solvers.
CoRR
Xia Jiang, Yaoxin Wu, Minshuo Li, Zhiguang Cao, Yingqian Zhang
2025 J jnl
MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver.
CoRR
Yuepeng Zheng, Fu Luo, Zhenkun Wang, Yaoxin Wu, Yu Zhou
2025 J jnl
Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust.
CoRR
Mohsen Abbaspour Onari, Lucie Charlotte Magister, Yaoxin Wu, Amalia Lupi, Dario Creazzo, Mattia Tordin, Luigi Di Donatantonio, Emilio Quaia, Chao Zhang, Isel Grau, Marco S. Nobile, Yingqian Zhang, Pietro Liò
2025 A* conf
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems.
AAAI
Igor G. Smit, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten
2025 A* conf
Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion.
ICLR
Jinbiao Chen, Jiahai Wang, Zhiguang Cao, Yaoxin Wu
2025 J jnl
Optimizing matching radius for ride-hailing systems with dual-replay-buffer deep reinforcement learning.
Comput. Ind. Eng.
Jie Gao, Rong Cheng, Yaoxin Wu, Honghao Zhao, Weiming Mai, Oded Cats
2025 J jnl
Partial Column Generation with Graph Neural Networks for Team Formation and Routing.
CoRR
Giacomo Dall'olio, Rainer Kolisch, Yaoxin Wu
2025 J jnl
Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation.
CoRR
Mingfeng Fan, Jianan Zhou, Yifeng Zhang, Yaoxin Wu, Jinbiao Chen, Guillaume Adrien Sartoretti
2025 A* conf
Preference-based Deep Reinforcement Learning for Historical Route Estimation.
IJCAI
Boshen Pan, Yaoxin Wu, Zhiguang Cao, Yaqing Hou, Guangyu Zou, Qiang Zhang
2025 J jnl
Prospect Theory-Based Portfolio Selection Using Multiple Fuzzy Reference Intervals.
IEEE Trans. Syst. Man Cybern. Syst.
Xianhe Wang, Bo Wang, Long Teng, Yaoxin Wu
2025 J jnl
Reinforcement Learning for Solving the Pricing Problem in Column Generation: Applications to Vehicle Routing.
CoRR
Abdo Abouelrous, Laurens Bliek, Adriana F. Gabor, Yaoxin Wu, Yingqian Zhang
2025 J jnl
Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees.
CoRR
Fu Luo, Yaoxin Wu, Zhi Zheng, Zhenkun Wang
2025 A* conf
Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding.
ICLR
Jinbiao Chen, Zhiguang Cao, Jiahai Wang, Yaoxin Wu, Hanzhang Qin, Zizhen Zhang, Yue-Jiao Gong
2025 A conf
Search Trajectory Network-Enhanced Multi-Objective Dynamic Algorithm Configuration.
ECAI
Robbert Reijnen, Zaharah Bukhsh, Hoong Chuin Lau, Yaoxin Wu, Yingqian Zhang
2025 J jnl
Solving two-stage stochastic integer programs via representation learning.
Neural Networks
Yaoxin Wu, Zhiguang Cao, Wen Song, Yingqian Zhang
2024 J jnl
A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity.
Complex Syst. Model. Simul.
Fuquan Wang, Yaping Fu, Kaizhou Gao, Yaoxin Wu, Song Gao
2024 A* conf
Collaboration! Towards Robust Neural Methods for Routing Problems.
NeurIPS
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen
2024 J jnl
Collaboration! Towards Robust Neural Methods for Routing Problems.
CoRR
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen
2024 A conf
Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.
AAMAS
Yaoxin Wu, Mingfeng Fan, Zhiguang Cao, Ruobin Gao, Yaqing Hou, Guillaume Sartoretti
2024 A* conf
Cross-Problem Learning for Solving Vehicle Routing Problems.
IJCAI
Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
2024 J jnl
Cross-Problem Learning for Solving Vehicle Routing Problems.
CoRR
Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
2024 A* conf
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling.
ICLR
Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang
2024 J jnl
Graph Neural Networks for Job Shop Scheduling Problems: A Survey.
CoRR
Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Wim Nuijten, Yingqian Zhang
2024 J jnl
LEGAN: Addressing Intraclass Imbalance in GAN-Based Medical Image Augmentation for Improved Imbalanced Data Classification.
IEEE Trans. Instrum. Meas.
Hongwei Ding, Nana Huang, Yaoxin Wu, Xiaohui Cui
2024 J jnl
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems.
IEEE Trans. Neural Networks Learn. Syst.
Jingwen Li, Yining Ma, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang, Yeow Meng Chee
2024 A conf
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem.
UAI
Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun
2024 J jnl
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem.
CoRR
Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun
2024 A* conf
Learning to Handle Complex Constraints for Vehicle Routing Problems.
NeurIPS
Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang
2024 J jnl
Learning to Handle Complex Constraints for Vehicle Routing Problems.
CoRR
Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang
2024 A* conf
MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning.
KDD
Yu Sun, Kai Wang, Zhipeng Hu, Runze Wu, Yaoxin Wu, Wen Song, Xudong Shen, Tangjie Lv, Changjie Fan
2024 A* conf
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts.
ICML
Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu
2024 J jnl
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts.
CoRR
Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu
2024 J jnl
Multi-Type Attention for Solving Multi-Depot Vehicle Routing Problems.
IEEE Trans. Intell. Transp. Syst.
Jinqi Li, Bing Tian Dai, Yunyun Niu, Jianhua Xiao, Yaoxin Wu
2024 J jnl
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems.
CoRR
Igor G. Smit, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten
2024 A conf
Synthetic Data Augmentation for Infrared Small Target Detection via Exploring Frequency Components and Targets Prior.
ICME
Yaoxin Wu, Hongwei Ding, Yunqi Liu, Zerui Wen, Xiaohui Cui
2024 J jnl
UNCO: Towards Unifying Neural Combinatorial Optimization through Large Language Model.
CoRR
Xia Jiang, Yaoxin Wu, Yuan Wang, Yingqian Zhang
2023 J jnl
Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations.
IEEE Trans. Veh. Technol.
Mingfeng Fan, Yaoxin Wu, Tianjun Liao, Zhiguang Cao, Hongliang Guo, Guillaume Sartoretti, Guohua Wu
2023 A* conf
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift.
NeurIPS
Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang
2023 J jnl
Hypergrah-Enhanced Dual Convolutional Network for Bundle Recommendation.
CoRR
Kangbo Liu, Yang Li, Yaoxin Wu, Zhaoxuan Wang, Xiaoxu Wang
2023 J jnl
Instance-specific algorithm configuration via unsupervised deep graph clustering.
Eng. Appl. Artif. Intell.
Wen Song, Yi Liu, Zhiguang Cao, Yaoxin Wu, Qiqiang Li
2023 J jnl
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.
CoRR
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
2023 J jnl
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.
IEEE Trans. Knowl. Data Eng.
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
2023 A conf
Multi-view graph contrastive learning for solving vehicle routing problems.
UAI
Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang
2023 J jnl
Neural Airport Ground Handling.
CoRR
Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang
2023 J jnl
Neural Airport Ground Handling.
IEEE Trans. Intell. Transp. Syst.
Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang
2023 A* conf
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement.
NeurIPS
Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang
2023 J jnl
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement.
CoRR
Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang
2023 A* conf
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems.
ICML
Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2023 J jnl
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems.
CoRR
Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2022 A* conf
Graph Learning Assisted Multi-Objective Integer Programming.
NeurIPS
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin
2022 J jnl
Learning Improvement Heuristics for Solving Routing Problems.
IEEE Trans. Neural Networks Learn. Syst.
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
2022 A* conf
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs.
ICLR
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2022 A* conf
Learning to Solve Routing Problems via Distributionally Robust Optimization.
AAAI
Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang
2022 J jnl
Learning to Solve Routing Problems via Distributionally Robust Optimization.
CoRR
Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang
2022 A* conf
NASPY: Automated Extraction of Automated Machine Learning Models.
ICLR
Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Yaoxin Wu, Tianwei Zhang
2022 — —
Neural combinatorial optimization: from routing to integer programming
Yaoxin Wu
2021 A* conf
Learning Large Neighborhood Search Policy for Integer Programming.
NeurIPS
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2021 J jnl
Learning Large Neighborhood Search Policy for Integer Programming.
CoRR
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2020 J jnl
An Accurate Solution to the Cardinality-Based Punctuality Problem.
IEEE Intell. Transp. Syst. Mag.
Zhiguang Cao, Yaoxin Wu, Akshay Rao, Felix Klanner, Stefan Erschen, Wei Chen, Le Zhang, Hongliang Guo
2019 J jnl
Learning Improvement Heuristics for Solving the Travelling Salesman Problem.
CoRR
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
2016 — conf
Improving the performance of arrival on time in stochastic shortest path problem.
ITSC
Yaoxin Wu, Wei Chen, Xuexi Zhang, Guangjun Liao