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I'm an engineer and researcher working on machine intelligence and perception.
My interests lie in building intelligent systems that can learn rich representations from data and reason over those representations to solve fundamental problems. I'm currently working on projects in interpretability, representation learning, and computer vision.
Previously, I worked on image generation/understanding and photo editing at Google, where I contributed to research on "rich human feedback" for generative models that won a CVPR best paper award. Before that, I studied computer science at Amherst College.
June 19, 2024: Our paper wins the best paper award at CVPR!
April 4, 2024: Rich Human Feedback for Text-to-Image Generation is selected as an oral presentation at CVPR.
February 26, 2024: Our paper Rich Human Feedback for Text-to-Image Generation is accepted to CVPR.
Rich Human Feedback for Text-to-Image Generation.
Youwei Liang*, Junfeng He*, Gang Li*, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katie Collins, Yiwen Luo, Yang Li, Kai J Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024.
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