Yang Feng

Software Engineer

Google Cloud AI

Email: yfeng23 at cs.rochester.edu

Bio

I am a software engineer at Google Cloud AI. My research interests are Computer Vision and Machine Learning. Before coming to Google, I got my PhD degree from University of Rochester, advised by Prof. Jiebo Luo. I got my Bachelor's degree from Jilin University, and my Master's degree from Beijing Institute of Technology under the supervision of Prof. Yunde Jia and Xinxiao Wu.

CV

News (Last Update 10/17/20)

[08/10/2020] I joined Google Cloud AI.

[04/27/2020] Thesis defense

[06/19/2019] Participate in the CVPR 2019 Doctoral Consortium

Publications (Google Scholar)

Yang Feng, Lin Ma, Wei Liu, and Jiebo Luo. "Unsupervised Image Captioning." IEEE Conference on Computer Vision and Pattern Recognition, 2019.

[PDF] [Code]

Yang Feng, Lin Ma, Wei Liu, and Jiebo Luo. "Spatio-temporal Video Re-localization by Warp LSTM." IEEE Conference on Computer Vision and Pattern Recognition, 2019.

[PDF] [Code]

Yang Feng, Lin Ma, Wei Liu, Tong Zhang and Jiebo Luo. "Video Re-localization." European Conference on Computer Vision, 2018.

[PDF] [Code]

Yang Feng, Yuncheng Li and Jiebo Luo. "Learning Effective Gait Features Using LSTM." International Conference on Pattern Recognition, 2016. (oral presentation)

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Yang Feng and Jiebo Luo. "When Do Luxury Cars Hit the Road? Findings by A Big Data Approach." IEEE Big Data workshop, 2016.

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Yang Feng, Xinxiao Wu, Han Wang, and Jing Liu. "Multi-group Adaptation for Event Recognition from Videos." International Conference on Pattern Recognition. IEEE, 2014.

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