Wen Song
16 papers · 2020–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (20) π Conference Polyglot (6) π Renaissance Researcher (5) π§ Keyword Pioneer
π
Conference Polyglot
(6)
π§
Keyword Pioneer
π€
Dynamic Duo
(16)
π
Triple Crown
π
Grand Slam
π₯
Unstoppable
(5)
π
Century Club
(16)
β‘
Prolific Year
(6)
Conferences
NIPS (8)
ICLR (2)
ICML (2)
IJCAI (2)
AAAI (1)
UAI (1)
Top co-authors
Keywords
vehicle routing problem
(5)
deep reinforcement learning
(4)
graph neural network
(3)
combinatorial optimization
(3)
integer programming
(2)
traveling salesman problem
(2)
attention mechanism
(2)
ensemble learning
(2)
distribution shift
(1)
multi-objective optimization
(1)
actor-critic algorithm
(1)
proximal policy optimization
(1)
policy network
(1)
beam search
(1)
generalization performance
(1)
vehicle routing
(1)
attention model
(1)
large neighborhood search
(1)
route optimization
(1)
meta-learning framework
(1)
Papers
Learning to Handle Complex Constraints for Vehicle Routing Problems
NIPS 2024
Collaboration! Towards Robust Neural Methods for Routing Problems
NIPS 2024
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
ICLR 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
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
ICML 2024
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift
NIPS 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
ICML 2023
Graph Learning Assisted Multi-Objective Integer Programming
NIPS 2022
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs
ICLR 2022
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
IJCAI 2022
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
NIPS 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
NIPS 2021
Learning Large Neighborhood Search Policy for Integer Programming
NIPS 2021
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
NIPS 2020