Haofan Wang

Work Email: wanghaofan (at) xiaohongshu.com

School Email: haofanw (at) alumni.cmu.edu

Personal Email: haofanwang.ai (at) gmail.com

Research Interests

Contrastive Learning
Cross-Modal Analysis
Self-Supervised Learning
Interpretable Machine Learning

Biography

Haofan Wang (王浩帆) is a senior research engineer at Xiaohongshu. Before that, he received master degree from Carnegie Mellon University in December, 2020. His current research interests are primarily on modality-conditional motion generation and prediction. If you are also interested in those topics or seeking for an internship, please drop an email. Some of the earlier works he co-authored are Score-CAM.

He worked as a research engineer at MMU of Kuaishou Technology from December, 2020 to February, 2022. He was a research intern at Image and Video Understanding Laboratory (IVUL), King Abdullah University of Science and Technology (KAUST) from August, 2020 to Jan 2021, advised by Prof. Bernard Ghanem, and collaborating with Guohao Li. He was a visiting student at DATA Lab, Texas A&M University from July, 2019 to October, 2019, advised by Prof. Xia (Ben) Hu, and collaborating with Mengnan Du and Fan Yang. He exchanged at UC Berkeley from August 2017 to December 2017, and worked as undergraduate research assistant at Berkeley RISE Lab, collaborating with Corey Zumar on Clipper. He also spent time at OpenMined, RealAI, Everspry, Horizon Robotics and Institute of Software Chinese Academy of Sciences.