haofanwang.github.io - Haofan Wang

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Description: Haofan Wang graduated from Electric and Computer Engineering at CMU.

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Haofan Wang (王浩帆) is a research engineer at Xiaohongshu, working primarily on controllable and conditional content generation (AIGC). He regularlly contributes to open source communities, including diffusers and ColossalAI . Before that, he worked at MMU, Kuaishou. He obtained master degree from Carnegie Mellon University . He visited Image and Video Understanding Laboratory (IVUL) , King Abdullah University of Science and Technology (KAUST) and DATA Lab, Texas A&M University . He studied at UC Berkeley fro

Haofan Wang (王浩帆) is a senior research engineer at Xiaohongshu. Before that, he worked as research assistant at Accountable System Lab (ASL) and received master degree from Carnegie Mellon University in December, 2020. His current research interests are primarily on AIGC, especially modality-conditional content generation. If you are also interested in those topics or seeking for an internship, please drop an email. He also contributes to open source libraries, including ColossalAI and diffusers . Some of t

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 , 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 , collaborating with Mengnan Du and Fan Yang . He studied

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