Wen Song
16 papers · 2020–2024 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25) π€ Dynamic Duo (16)
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Research topics
Machine Learning
(11)
Deep Learning
(7)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Reinforcement Learning
(5)
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Methods
(5)
Mathematics & Optimization
(4)
Core AI
(4)
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Keywords
vehicle routing problem
(7)
deep reinforcement learning
(5)
graph neural network
(5)
combinatorial optimization
(4)
traveling salesman problem
(3)
job shop scheduling
(3)
integer programming
(2)
message passing
(2)
attention mechanism
(2)
ensemble learning
(2)
construction heuristic
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distribution shift
(1)
domain generalization
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neural network optimization
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imitation learning
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deep learning
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variational autoencoder
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adversarial learning
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latent representation
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actor-critic algorithm
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Papers
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
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
ICML 2023
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
IJCAI 2022
Graph Learning Assisted Multi-Objective Integer Programming
NeurIPS 2022
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs
ICLR 2022
Learning Large Neighborhood Search Policy for Integer Programming
NeurIPS 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
NeurIPS 2021
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
AAAI 2021
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
NeurIPS 2021
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
NeurIPS 2020