Yaoxin Wu
24 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
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π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (24)
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(23)
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Conferences
ICLR (7)
NIPS (6)
AAAI (3)
ICML (3)
IJCAI (3)
UAI (2)
Top co-authors
Keywords
vehicle routing problem
(7)
deep reinforcement learning
(4)
graph neural network
(3)
neural combinatorial optimization
(2)
distribution shift
(2)
domain generalization
(2)
integer programming
(2)
combinatorial optimization
(2)
ensemble learning
(2)
reinforcement learning
(2)
imitation learning
(1)
policy learning
(1)
neural network optimization
(1)
graph attention
(1)
attention mechanism
(1)
adversarial learning
(1)
preference modeling
(1)
self-supervised learning
(1)
distributionally robust optimization
(1)
multi-objective optimization
(1)
Papers
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation
AAAI 2026
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
ICLR 2025
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
AAAI 2025
Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
ICLR 2025
Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
ICLR 2025
DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints
ICLR 2025
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization
ICML 2025
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
IJCAI 2025
Preference-based Deep Reinforcement Learning for Historical Route Estimation
IJCAI 2025
Learning to Handle Complex Constraints for Vehicle Routing Problems
NIPS 2024
Collaboration! Towards Robust Neural Methods for Routing Problems
NIPS 2024
Cross-Problem Learning for Solving Vehicle Routing Problems
IJCAI 2024
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
UAI 2024
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
ICLR 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
ICML 2024
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
ICML 2023
Multi-view graph contrastive learning for solving vehicle routing problems
UAI 2023
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift
NIPS 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement
NIPS 2023
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs
ICLR 2022
Graph Learning Assisted Multi-Objective Integer Programming
NIPS 2022
Learning to Solve Routing Problems via Distributionally Robust Optimization
AAAI 2022
NASPY: Automated Extraction of Automated Machine Learning Models
ICLR 2022
Learning Large Neighborhood Search Policy for Integer Programming
NIPS 2021