Yining Ma
13 papers · 2021–2025 · 5 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
Jump to papers ↓+5 more ↓ Show less ↑
π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (28) π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird π Triple Crown
π
Grand Slam
π€
Dynamic Duo
(10)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(56)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(7)
Optimization & Theory
(6)
Core AI
(5)
Deep Learning
(4)
Application Areas
(4)
Learning Paradigms
(4)
Mathematics & Optimization
(3)
Reinforcement Learning
(3)
Architectures
(3)
Methods
(3)
Optimization
(3)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Core Methods
(1)
Keywords
vehicle routing problem
(4)
reinforcement learning
(4)
black-box optimization
(3)
zero-shot generalization
(3)
traveling salesman problem
(3)
combinatorial optimization
(2)
neural network
(2)
fault tolerance
(1)
domain generalization
(1)
transformer architecture
(1)
graph attention
(1)
sparsity
(1)
neural architecture
(1)
adversarial attack
(1)
evolutionary algorithm
(1)
knowledge distillation
(1)
proximal policy optimization
(1)
attention mechanism
(1)
neural combinatorial optimization
(1)
hyperparameter optimization
(1)
Papers
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
AAAI 2025
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
ICLR 2025
SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
ICML 2025
Learning to Handle Complex Constraints for Vehicle Routing Problems
NeurIPS 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
ICML 2024
SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
ICLR 2024
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt
NeurIPS 2023
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning
NeurIPS 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement
NeurIPS 2023
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
IJCAI 2022
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
NeurIPS 2022
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee
NeurIPS 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
NeurIPS 2021