Yixuan Li

Research Scientist

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.

Latest Publications

KDD - August 4, 2019

MSURU: Large Scale E-commerce Image Classification With Weakly Supervised Search Data

Yina Tang, Fedor Borisyuk, Siddarth Malreddy, Yixuan Li, Yiqun Liu, Sergey Kirshner

ICML 2018 - June 29, 2018

Understanding the Loss Surface of Neural Networks for Binary Classification

Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant

ArXiv - May 2, 2018

Exploring the Limits of Weakly Supervised Pretraining

Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

ICLR 2018 - April 30, 2018

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Shiyu Liang, Yixuan Li, R. Srikant