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Yaoxin Wu

24 papers · 2021–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (5) πŸ—ΊοΈ Taxonomy Completionist (24)
πŸ—ΊοΈ Taxonomy Completionist (24) 🧭 Keyword Pioneer πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (18) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (23) ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (50)

Conferences

ICLR (7) NIPS (6) AAAI (3) ICML (3) IJCAI (3) UAI (2)

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