Yaoxin Wu
24 papers · 2021–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Triple Crown
π
Grand Slam
π€
Dynamic Duo
(19)
π§¬
Topic Evolution
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(89)
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(16)
Deep Learning
(13)
Architectures
(10)
Artificial Intelligence
(9)
Mathematics & Optimization
(9)
Optimization
(9)
Optimization & Theory
(9)
Core AI
(8)
Reinforcement Learning
(6)
Application Areas
(6)
Learning Types Β· Machine Learning
(6)
Methods
(6)
Learning Types Β· Deep Learning
(4)
Core Methods
(3)
Techniques
(2)
Keywords
vehicle routing problem
(11)
deep reinforcement learning
(6)
graph neural network
(6)
combinatorial optimization
(4)
neural combinatorial optimization
(3)
job shop scheduling
(3)
ensemble learning
(2)
message passing
(2)
reinforcement learning
(2)
traveling salesman problem
(2)
node embedding
(2)
integer programming
(2)
stochastic optimization
(2)
multi-objective combinatorial optimization
(2)
distribution shift
(2)
multi-objective optimization
(2)
domain generalization
(2)
graph representation
(1)
neural architecture search
(1)
imitation learning
(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
DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints
ICLR 2025
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
IJCAI 2025
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization
ICML 2025
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
AAAI 2025
Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
ICLR 2025
Preference-based Deep Reinforcement Learning for Historical Route Estimation
IJCAI 2025
Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
ICLR 2025
Collaboration! Towards Robust Neural Methods for Routing Problems
NeurIPS 2024
Cross-Problem Learning for Solving Vehicle Routing Problems
IJCAI 2024
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
ICLR 2024
Learning to Handle Complex Constraints for Vehicle Routing Problems
NeurIPS 2024
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
UAI 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
ICML 2024
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift
NeurIPS 2023
Multi-view graph contrastive learning for solving vehicle routing problems
UAI 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement
NeurIPS 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
ICML 2023
Graph Learning Assisted Multi-Objective Integer Programming
NeurIPS 2022
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs
ICLR 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
NeurIPS 2021