I am a fourth year Phd candidate in Computer Science Department. My advisor is Prof. Jiebo Luo. My research interests are Computer Vision and Machine Learning. I got my Bachelar's degree from Jilin University, and my Master's degreee from Beijing Institute of Technology under the supervision of Prof. Yunde JIA and Xinxiao Wu.
Research Intern (2018.1-present), Tencent AI Lab, Shenzhen, China.
Project: Image captioning.
Research Intern (2017.5-2017.8), Google, LA, US.
Project: Improved the accuracy of recognizing the people in Photos.
Research Intern (2016.5-2016.8), GE Global Research, NY, US.
Project: Vehicle detection.
Research Intern (2014.12-2015.5), Baidu IDL, Beijing, China.
Project: Vehicle tracking.
Yang Feng, Lin Ma, Wei Liu, Tong Zhang and Jiebo Luo. Video Re-localization. European Conference on Computer Vision, 2018.
Yang Feng, Yuncheng Li and Jiebo Luo. Learning Effective Gait Features Using LSTM. International Conference on Pattern Recognition, 2016.
Yang Feng and Jiebo Luo. When Do Luxury Cars Hit the Road? Findings by A Big Data Approach. IEEE Big Data workshop, 2016.
Yang Feng, Xinxiao Wu, and Yunde Jia. Multi-group Multi-class Domain Adaptation for Event Recognition. In IET Computer Vision, 2015.
Yang Feng, Xinxiao Wu, Han Wang, and Jing Liu. Multi-group Adaptation for Event Recognition from Videos. In International Conference on Pattern Recognition. IEEE, 2014. [pdf]
Wanchen Sui, Xinxiao Wu, Yang Feng, Wei Liang, and Yunde Jia. Heterogeneous Discriminant Analysis for Cross-View Action Recognition. ICONIP, 2015.
Jing Liu, Xinxiao Wu, and Yang Feng. Modeling the Relationship of Action, Object and Scene. In International Conference on Pattern Recognition. IEEE, 2014. [pdf]