Yining Ma

Postdoc@Massachusetts Institute of Technology·美国·OpenReview

研究方向

Learning-guided Optimization · Black-Box Optimization · Neural Combinatorial Optimization · Vehicle Routing Problem · Learning to Optimize · Machine Learning for Optimization

Yining Ma

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems

Learning to Segment for Vehicle Routing Problems

RADAR: Learning to Route with Asymmetry-aware Distance Representations

Hierarchical Aggregation Deconstruction Search for Vehicle Routing Problems

AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library

DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization

Probing Neural Combinatorial Optimization Models

Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy

Unveiling Neural Combinatorial Optimization Model Representations Through Probing

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity & Hierarchy in Efficiently Layered Decoder

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark