About Me

I am a 4th year Ph.D. student in the Computer Science Department at UC Berkeley, advised by Professor Trevor Darrell . I am mainly interested in computer vision and machine learning.

Before that, I graduated from the computer science deparment at Tsinghua University, where I worked with Prof. Jun Zhu on machine learning. I have also interned in Google Research on natural language processing from 2011 to 2012, cooperating with Dr. Edward Y. Chang and Dr. Fangtao Li. I have also had some great time working in Google's autonomous driving team during the summer of 2016.

Contact

Email: yg [at] eecs.berkeley.edu
Office: 7th floor, Sutardja Dai Hall, Berkeley, CA



Selected Publications

Google Scholar
Generalized Orderless Pooling Performs Implicit Salient Matching

Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
International Conference on Computer Vision (ICCV), 2017.
PDF arXiv


End-to-end Learning of Driving Models from Large-scale Video Datasets

Huazhe Xu*, Yang Gao*, Fisher Yu and Trevor Darrell
Computer Vision and Pattern Recognition (CVPR), 2017. Oral.
Project Page PDF arXiv


Compact Bilinear Pooling

Yang Gao, Oscar Beijbom, Ning Zhang and Trevor Darrell
Computer Vision and Pattern Recognition (CVPR), 2016
Code PDF arXiv


Fine-grained Pose Prediction, Normalization, and Recognition

Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell
International Conference on Learning Representations (ICLR), 2016, Workshop
PDF arXiv



Deep Learning for Tactile Understanding From Visual and Haptic Data

Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker and Trevor Darrell
IEEE International Conference on Robotics and Automation (ICRA), 2016
Project Page PDF arXiv



Deceptive Answer Prediction with User Preference Graph

Fangtao Li, Yang Gao, Shuchang Zhou, Xiance Si, Decheng Dai.
Association for Computational Linguistics (ACL), 2013
PDF



Streaming Gibbs Sampling for LDA Model

Yang Gao, Jianfei Chen, Jun Zhu
arXiv preprint
PDF arXiv