AIOR
AI & ML interests
Language models for optimization; learning-augmented optimization; data-driven decision-making; mathematical programming; high-performance optimization; benchmarks and evaluation.
Recent Activity
AIOR
Artificial Intelligence × Operations Research
Open research artifacts for learning, optimization, and decision-making.
AIOR is a cross-institutional academic research organization initiated by the Institute of Intelligent Computing (IIC), Shanghai Jiao Tong University, with participants from universities and research institutions in China and abroad.
On the Hub
- models and checkpoints;
- datasets and benchmarks;
- curated research collections;
- evaluation resources and research demos.
Artifacts include clear provenance, licensing, intended use, and evaluation details whenever applicable.
Research focus
We work on foundation models and agents for optimization, learning-augmented decision-making, large-scale and high-performance optimization, and reproducible evaluation at the AI–OR interface.