I work as a software engineer at Google Brain. I have expertise in research, libraries and infrastructure for computer vision and deep learning.
My previous works at Facebook AI Research have received Best Paper Honorable Mention in ECCV 2018, Best Paper Nomination in CVPR 2020, and Mark Everingham Prize in ICCV 2021. I also created detectron2, one of the most popular Facebook AI projects.
Master in Computer Vision, 2016
Carnegie Mellon University
Bachelor in Computer Science, 2015
Full list of OSS contributions can be found here.
A computer vision library with a focus on detection-related tasks.
Mark Everingham Prize in ICCV 2021 for the detectron2 project.
Best Paper Nominee in CVPR 2020 for the paper “Momentum Contrast”.
Winner of defense track in Competition on Adversarial Attacks and Defenses (CAAD) 2018.
We trained an ImageNet classifier with state-of-the-art robustness against adversarial attacks.
Winner of CTF in Competition on Adversarial Attacks and Defenses (CAAD) CTF 2018. Competition Recording (Chinese) Media (Chinese)
We performed successful adversarial attacks / defenses against other teams during the live competition.
Best Paper Honorable Mention award in ECCV 2018 for the paper “Group Normalization”. Announcement
Google Open Source Peer Bonus in 2017 for the tensorpack project. Announcement
Winner of VizDoom AI Competition in CIG 2016.
Our Doom bot, “F1”, beat competitors in death matches by a large margin.
Competition Media Video
Champion of Student Cluster Competition in both ISC 2015 and ASC 2015.
Optimize software and hardware for low-power high-performance computation. Media Media
Finalist in SIGMOD Programming Contest in SIGMOD 2014, as team leader of “blxlrsmb”.
Design and implement a large social network database to support efficient queries.
Capture the Flags (CTF, a security competition): 11th in SECCON CTF 2014, 8th in Codegate CTF 2015, 5th in DEFCON CTF 2015 as a team member of “blue-lotus”.