Li Zhang
I am a software engineer at Google. I work on computer vision and machine learning related product research and development. My work contributed to Google products such as Lens Blur in Google Camera, pose estimation in Cardboard Camera. I led a computer vision team for Google Clips, developing image understanding, synthesis, and enhancement techniques. Some of the works are published in research conferences. I am now working on vision technologies for Google Pixel phones and Google Photos services.
Prior to joining Google, I was a computer science faculty at University of Wisconsin, Madison, researching on computer vision and graphics. My academic works and awards are summarized on this page.
Research Areas
Authored Publications
Sort By
Google
FrameQuant: Flexible Low-Bit Quantization for Transformers
Harshavardhan Adepu
Zhanpeng Zeng
Vikas Singh
International Conference on Machine Learning (2024)
BasisNet: Two-Stage Model Synthesis for Efficient Inference
Chun-Te Chu
Andrew Howard
Yukun Zhu
Rebecca Hwa
Adriana Kovashka
CVPR Workshop on Efficient Deep Learning for Computer Vision (ECV) (2021)
MoViNets: Mobile Video Networks for Efficient Video Recognition
Dan Kondratyuk
Liangzhe Yuan
Yandong Li
Matthew Brown
Boqing Gong
CVPR 2021 (2021)
Spatially Adaptive Computation Time for Residual Networks
Dmitry P. Vetrov
Jonathan Huang
Maxwell Collins
Michael Figurnov
Ruslan Salakhutdinov
Yukun Zhu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
