Yaoxin Wu

Orcid: 0000-0002-3625-6599

According to our database1, Yaoxin Wu authored at least 58 papers between 2016 and 2025.

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Bibliography

2025
Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust.
CoRR, August, 2025

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems.
CoRR, June, 2025

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation.
CoRR, June, 2025

MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver.
CoRR, June, 2025

A Group-Based Many-Task Collaborative Optimization Framework for Evolutionary Robots Design.
IEEE Trans. Syst. Man Cybern. Syst., May, 2025

Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees.
CoRR, May, 2025

Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization.
CoRR, May, 2025

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization.
CoRR, May, 2025

Infrared Small Target Detection Improvement via Hybrid Data Augmentation Using Diffusion Models and GAN.
IEEE Trans. Aerosp. Electron. Syst., April, 2025

Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application.
CoRR, April, 2025

Reinforcement Learning for Solving the Pricing Problem in Column Generation: Applications to Vehicle Routing.
CoRR, April, 2025

Deep Reinforcement Learning for Solving Vehicle Routing Problems With Backhauls.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

Enhancing Remaining Useful Life Prediction with Ensemble Multi-Term Fourier Graph Neural Networks.
Trans. Mach. Learn. Res., 2025

Improving imbalanced medical image classification through GAN-based data augmentation methods.
Pattern Recognit., 2025

Solving two-stage stochastic integer programs via representation learning.
Neural Networks, 2025

Graph neural networks for job shop scheduling problems: A survey.
Comput. Oper. Res., 2025

A deep reinforcement learning method for solving Two-Echelon Location-Routing Problem.
Comput. Oper. Res., 2025

Optimizing matching radius for ride-hailing systems with dual-replay-buffer deep reinforcement learning.
Comput. Ind. Eng., 2025

Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Multi-Type Attention for Solving Multi-Depot Vehicle Routing Problems.
IEEE Trans. Intell. Transp. Syst., November, 2024

LEGAN: Addressing Intraclass Imbalance in GAN-Based Medical Image Augmentation for Improved Imbalanced Data Classification.
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.
Complex Syst. Model. Simul., 2024

UNCO: Towards Unifying Neural Combinatorial Optimization through Large Language Model.
CoRR, 2024

Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem.
Proceedings of the Uncertainty in Artificial Intelligence, 2024

Learning to Handle Complex Constraints for Vehicle Routing Problems.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Collaboration! Towards Robust Neural Methods for Routing Problems.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Cross-Problem Learning for Solving Vehicle Routing Problems.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts.
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.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Neural Airport Ground Handling.
IEEE Trans. Intell. Transp. Syst., December, 2023

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.
IEEE Trans. Knowl. Data Eng., September, 2023

Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations.
IEEE Trans. Veh. Technol., May, 2023

Instance-specific algorithm configuration via unsupervised deep graph clustering.
Eng. Appl. Artif. Intell., 2023

Hypergrah-Enhanced Dual Convolutional Network for Bundle Recommendation.
CoRR, 2023

Multi-view graph contrastive learning for solving vehicle routing problems.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

2022
Neural combinatorial optimization: from routing to integer programming
PhD thesis, 2022

Learning Improvement Heuristics for Solving Routing Problems.
IEEE Trans. Neural Networks Learn. Syst., 2022

Graph Learning Assisted Multi-Objective Integer Programming.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022

NASPY: Automated Extraction of Automated Machine Learning Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning to Solve Routing Problems via Distributionally Robust Optimization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning Large Neighborhood Search Policy for Integer Programming.
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.
IEEE Intell. Transp. Syst. Mag., 2020

2019
Learning Improvement Heuristics for Solving the Travelling Salesman Problem.
CoRR, 2019

2016
Improving the performance of arrival on time in stochastic shortest path problem.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016


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