Kan Chen

Research Scientist

I joined in Facebook as a research scientist in Mobile Vision team in 2019. Before that, I was a research intern in Facebook Applied Machine Learning team in 2018. I obtained my PhD degree from USC in 2018. My research interests focus on multimodal reasoning, large scale machine learning and video analysis. In Facebook, I am working on projects for deploying deep learning models on mobile devices, including face detection, saliency prediction and efficient neural architecture search.


Computer vision, machine learning, architecture search

Latest Publications

ICLR - February 19, 2021

Unbiased Teacher for Semi-Supervised Object Detection

Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda

CVPR - June 1, 2020

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez