Yiming Yang

Yiming Yang is a distinguished professor at Carnegie Mellon University with a joint appointment in the Language Technologies Institute and the Machine Learning Department within the School of Computer Science.14 Her career at Carnegie Mellon University spans over two decades, having joined as an Associate Professor in 1996 and becoming a Full Professor in 2003.1

Research Focus

Professor Yang's research interests include:

1. Large Language Models (LLMs): She focuses on aligning these models with human-valued principles and developing scalable oversight beyond human supervision.2

2. Multimodal Foundation Models: Her work involves LLM-based joint learning and reasoning with various modalities including text, images, graphs, and codes.2

3. Generative AI for Science: She explores generative neural networks with graph-based learning for applications in combinatorial optimization, mathematical reasoning, and physics simulation.2

Academic Contributions

Professor Yang has made significant contributions to the fields of machine learning and information retrieval. Her work has been widely recognized, with over 68,000 citations according to Google Scholar.3 She has advised numerous PhD students throughout her career, contributing to the development of future researchers in the field.1

Teaching

Yang is actively involved in teaching at Carnegie Mellon University. One of her courses is "Machine Learning with Graphs" (course number 11-741/11-441)2, which aligns with her research interests in graph-based learning and its applications.

Professional Profile

On LinkedIn, Yiming Yang's profile can be found under the username yiming-yang-24100924.5 Her profile lists her as a Professor at Carnegie Mellon University, based in Pittsburgh, Pennsylvania, with 143 followers and 114 connections.