Han Fang


Han Fang is a Research Scientist Manager at Facebook AI, with a main focus on AI integrity - develop AI technologies to make the online community a safer place. Han's research interests include few-shot and zero-shot learning, multi-modal content understanding, natural language processing, and model interpretability and explainability.

Han holds a PhD in Applied Mathematics and Statistics from Stony Brook University (2017). In his PhD, he developed a set of graphical and machine learning algorithms for large-scale genomics data (cited 1800+ times). He is a recipient of the President’s Award to Distinguished Doctoral Students, the Woo-Jong Kim Dissertation Award, and the Excellence in Research Award.

Han's Work

Han's Publications

September 27, 2023


Effective Long-Context Scaling of Foundation Models

Wenhan Xiong, Igor Molybog, Hejia Zhang, Praj Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma, Jingyu Liu

September 27, 2023