Improving the performance of arrival on time in stochastic shortest path problem. - Yaoxin Wu; Wei Chen; Xuexi Zhang; Guangjun Liao (ITSC, 2016)

Learning Improvement Heuristics for Solving the Travelling Salesman Problem. - Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002; Andrew Lim 001 (CoRR, 2019)

An Accurate Solution to the Cardinality-Based Punctuality Problem. - Zhiguang Cao; Yaoxin Wu; Akshay Rao; Felix Klanner; Stefan Erschen; Wei Chen; Le Zhang 001; Hongliang Guo (IEEE Intell. Transp. Syst. Mag., 2020)

Learning Large Neighborhood Search Policy for Integer Programming. - Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002 (NeurIPS, 2021)

Learning to Solve Routing Problems via Distributionally Robust Optimization. - Yuan Jiang 007; Yaoxin Wu; Zhiguang Cao; Jie Zhang 002 (AAAI, 2022)

NASPY: Automated Extraction of Automated Machine Learning Models. - Xiaoxuan Lou; Shangwei Guo; Jiwei Li 001; Yaoxin Wu; Tianwei Zhang 004 (ICLR, 2022)

Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs. - Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002 (ICLR, 2022)

Graph Learning Assisted Multi-Objective Integer Programming. - Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002; Abhishek Gupta; Mingyan Lin (NeurIPS, 2022)

Learning Improvement Heuristics for Solving Routing Problems. - Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002; Andrew Lim 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Neural combinatorial optimization: from routing to integer programming - Yaoxin Wu (2022)

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. - Jianan Zhou 002; Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002 (ICML, 2023)

Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. - Jinbiao Chen; Zizhen Zhang; Zhiguang Cao; Yaoxin Wu; Yining Ma 001; Te Ye; Jiahai Wang (NeurIPS, 2023)

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift. - Yuan Jiang 007; Zhiguang Cao; Yaoxin Wu; Wen Song; Jie Zhang 002 (NeurIPS, 2023)

Multi-view graph contrastive learning for solving vehicle routing problems. - Yuan Jiang 007; Zhiguang Cao; Yaoxin Wu; Jie Zhang 002 (UAI, 2023)

Hypergrah-Enhanced Dual Convolutional Network for Bundle Recommendation. - Kangbo Liu; Yang Li; Yaoxin Wu; Zhaoxuan Wang; Xiaoxu Wang (CoRR, 2023)

Instance-specific algorithm configuration via unsupervised deep graph clustering. - Wen Song; Yi Liu 015; Zhiguang Cao; Yaoxin Wu; Qiqiang Li (Eng. Appl. Artif. Intell., 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 001 (IEEE Trans. Veh. Technol., 2023)

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. - Jianan Zhou 002; Yaoxin Wu; Zhiguang Cao; Wen Song; Jie Zhang 002; Zhenghua Chen (IEEE Trans. Knowl. Data Eng., 2023)

Neural Airport Ground Handling. - Yaoxin Wu; Jianan Zhou 002; Yunwen Xia; Xianli Zhang; Zhiguang Cao; Jie Zhang 002 (IEEE Trans. Intell. Transp. Syst., 2023)

Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems. - Yaoxin Wu; Mingfeng Fan; Zhiguang Cao; Ruobin Gao; Yaqing Hou; Guillaume Sartoretti (AAMAS, 2024)

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. - Cong Zhang; Zhiguang Cao; Wen Song; Yaoxin Wu; Jie Zhang 002 (ICLR, 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 (ICME, 2024)

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. - Jianan Zhou 002; Zhiguang Cao; Yaoxin Wu; Wen Song; Yining Ma 001; Jie Zhang 002; Chi Xu (ICML, 2024)

Cross-Problem Learning for Solving Vehicle Routing Problems. - Zhuoyi Lin; Yaoxin Wu; Bangjian Zhou; Zhiguang Cao; Wen Song; Yingqian Zhang 001; Senthilnath Jayavelu (IJCAI, 2024)

MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning. - Yu Sun; Kai Wang 064; Zhipeng Hu; Runze Wu 001; Yaoxin Wu; Wen Song; Xudong Shen; Tangjie Lv; Changjie Fan (KDD, 2024)

Collaboration! Towards Robust Neural Methods for Routing Problems. - Jianan Zhou 002; Yaoxin Wu; Zhiguang Cao; Wen Song; Jie Zhang 002; Zhiqi Shen 001 (NeurIPS, 2024)

Learning to Handle Complex Constraints for Vehicle Routing Problems. - Jieyi Bi; Yining Ma 001; Jianan Zhou 002; Wen Song; Zhiguang Cao; Yaoxin Wu; Jie Zhang 002 (NeurIPS, 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 (UAI, 2024)

UNCO: Towards Unifying Neural Combinatorial Optimization through Large Language Model. - Xia Jiang; Yaoxin Wu; Yuan Wang; Yingqian Zhang 001 (CoRR, 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)

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)

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., 2024)

Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. - Jingwen Li; Yining Ma 001; Zhiguang Cao; Yaoxin Wu; Wen Song; Jie Zhang 002; Yeow Meng Chee (IEEE Trans. Neural Networks Learn. Syst., 2024)

Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems. - Igor G. Smit; Yaoxin Wu; Pavel Troubil; Yingqian Zhang 001; Wim P. M. Nuijten (AAAI, 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 (ICLR, 2025)

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

DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints. - Xia Jiang; Yaoxin Wu; Chenhao Zhang; Yingqian Zhang 001 (ICLR, 2025)

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems. - Fu Luo; Xi Lin 001; Yaoxin Wu; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (ICLR, 2025)

Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning. - Qi Li; Zhiguang Cao; Yining Ma 001; Yaoxin Wu; Yue-Jiao Gong (KDD (1), 2025)

Optimizing matching radius for ride-hailing systems with dual-replay-buffer deep reinforcement learning. - Jie Gao 010; Rong Cheng; Yaoxin Wu; Honghao Zhao; Weiming Mai; Oded Cats (Comput. Ind. Eng., 2025)

A deep reinforcement learning method for solving Two-Echelon Location-Routing Problem. - Shuo Huang; Yaoxin Wu; Zhiguang Cao; Xuexi Zhang (Comput. Oper. Res., 2025)

Graph neural networks for job shop scheduling problems: A survey. - Igor G. Smit; Jianan Zhou 002; Robbert Reijnen; Yaoxin Wu; Jian Chen 022; Cong Zhang; Zaharah Bukhsh; Yingqian Zhang 001; Wim Nuijten (Comput. Oper. Res., 2025)

Solving two-stage stochastic integer programs via representation learning. - Yaoxin Wu; Zhiguang Cao; Wen Song; Yingqian Zhang 001 (Neural Networks, 2025)

Improving imbalanced medical image classification through GAN-based data augmentation methods. - Hongwei Ding; Nana Huang; Yaoxin Wu; Xiaohui Cui (Pattern Recognit., 2025)

Enhancing Remaining Useful Life Prediction with Ensemble Multi-Term Fourier Graph Neural Networks. - Ya Song; Laurens Bliek; Yaoxin Wu; Yingqian Zhang 001 (Trans. Mach. Learn. Res., 2025)

Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems. - Mingfeng Fan; Yaoxin Wu; Zhiguang Cao; Wen Song; Guillaume Sartoretti; Huan Liu 001; Guohua Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Reinforcement Learning for Solving Vehicle Routing Problems With Backhauls. - Conghui Wang; Zhiguang Cao; Yaoxin Wu; Long Teng 001; Guohua Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Reinforcement Learning for Solving the Pricing Problem in Column Generation: Applications to Vehicle Routing. - Abdo Abouelrous; Laurens Bliek; Adriana F. Gabor; Yaoxin Wu; Yingqian Zhang 001 (CoRR, 2025)

Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application. - Abdo Abouelrous; Laurens Bliek; Adriana F. Gabor; Yaoxin Wu; Yingqian Zhang 001 (CoRR, 2025)

Infrared Small Target Detection Improvement via Hybrid Data Augmentation Using Diffusion Models and GAN. - Hongwei Ding; Nana Huang; Yaoxin Wu; Xiaohui Cui (IEEE Trans. Aerosp. Electron. Syst., 2025)

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization. - Robbert Reijnen; Yaoxin Wu; Zaharah Bukhsh; Yingqian Zhang 001 (CoRR, 2025)

Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization. - Yiding Shi; Jianan Zhou 002; Wen Song; Jieyi Bi; Yaoxin Wu; Jie Zhang 002 (CoRR, 2025)

Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees. - Fu Luo; Yaoxin Wu; Zhi Zheng 009; Zhenkun Wang 001 (CoRR, 2025)

A Group-Based Many-Task Collaborative Optimization Framework for Evolutionary Robots Design. - Yaqing Hou; Zhaoping Yu; Zheng Guo; Wenbin Pei; Yaoxin Wu; Hongwei Ge; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver. - Yuepeng Zheng; Fu Luo; Zhenkun Wang 001; Yaoxin Wu; Yu Zhou (CoRR, 2025)

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation. - Mingfeng Fan; Jianan Zhou 002; Yifeng Zhang; Yaoxin Wu; Jinbiao Chen; Guillaume Adrien Sartoretti (CoRR, 2025)

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems. - Dian Meng; Zhiguang Cao; Yaoxin Wu; Yaqing Hou; Hongwei Ge; Qiang Zhang 008 (CoRR, 2025)

Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust. - Mohsen Abbaspour Onari; Lucie Charlotte Magister; Yaoxin Wu; Amalia Lupi; Dario Creazzo; Mattia Tordin; Luigi Di Donatantonio; Emilio Quaia; Chao Zhang 071; Isel Grau; Marco S. Nobile; Yingqian Zhang 001; et al. (CoRR, 2025)