I joined the Facebook Research computer vision group in October 2017 as a Research Scientist. I work on large-scale and distributed deep learning for various computer vision applications. I am interested in extreme classification when both dataset and label sizes scale to large extent.
Prior to Facebook, I received my PhD in 2017 from Cornell University, where my research covered topics including deep learning interpretability, optimizing neural networks with computational efficiency, adversarial training of deep generative models, neural network reliability and safety issues etc. I spent two summers working at Google (Research), CA in 2015 and 2016. Before that, I obtained my BE from Shanghai Jiaotong University, China, in 2013.


Deep learning, computer vision, and representation learning.

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