Neural algorithmic design and reasoning

Professor: Yusu Wang

Description: The goal is to develop efficient and effective neural models (e.g, transformer based, or encoder-processor-decoder based) that can carry out algorithmic tasks. Potentially build benchmark datasets.

Preferred Qualifications: The student should have machine learning and deep learning background, and familiar with transformers.