Yang Li
Yang Li is a Staff Research Scientist at Google, and an affiliate faculty member in Computer Science & Engineering at the University of Washington. Yang’s research focuses on the intersection between deep learning and human computer interaction.
See Yang Li's personal website.
Authored Publications
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Google
Rich Human Feedback for Text to Image Generation
Katherine Collins
Nicholas Carolan
Youwei Liang
Peizhao Li
Dj Dvijotham
Gang Li
Sarah Young
Jiao Sun
Kai Kohlhoff
Arseniy Klimovskiy
2024
UniAR: A Unified model for predicting human Attention and Responses on visual content
Peizhao Li
Gang Li
Rachit Bhargava
Shaolei Shen
Youwei Liang
Hongxiang Gu
Venky Ramachandran
Golnaz Farhadi
Kai Kohlhoff
2024
PaLI-X: On Scaling up a Multilingual Vision and Language Model
Josip Djolonga
Piotr Padlewski
Basil Mustafa
Carlos Riquelme
Sebastian Goodman
Yi Tay
Siamak Shakeri
Daniel Salz
Michael Tschannen
Hexiang (Frank) Hu
Mandar Joshi
Matthias Minderer
Filip Pavetić
Gang Li
Lucas Beyer
Anurag Arnab
Yuanzhong Xu
Keran Rong
Alexander Kolesnikov
Xiaohua Zhai
Neil Houlsby
Computer Vision and Pattern Recognition Conference (CVPR) (2024)
Towards Semantically-Aware UI Design Tools: Design, Implementation, and Evaluation of Semantic Grouping Guidelines
Peitong Duan
Bjoern Hartmann
Karina Nguyen
Marti Hearst
ICML 2023 Workshop on Artificial Intelligence and Human-Computer Interaction (2023)
TapNet: The Design, Training, Implementation, and Applications of a Multi-Task Learning CNN for Off-Screen Mobile Input
Michael Xuelin Huang
Nazneen Nazneen
Alex Chao
ACM CHI Conference on Human Factors in Computing Systems, ACM (2021)
