At Facebook AI Research (FAIR) I work on research problems in computer vision, deep learning, reinforcement learning. I also enjoy building powerful frameworks and infrastructure for research, such as detectron2 and tensorpack.
Master in Computer Vision, 2016
Carnegie Mellon University
Bachelor in Computer Science, 2015
Tsinghua University
More at github.
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. Competition
Winner of CTF in Competition on Adversarial Attacks and Defenses (CAAD) CTF 2018.
We performed successful adversarial attacks / defenses against other teams during the on-site competition. Competition Media (Chinese)
Best Paper Honorable Mention award in ECCV 2018. Announcement
Google Open Source Peer Bonus in 2017. Announcement
Winner of VizDoom AI Competition in CIG 2016.
Our Doom bot, “F1”, beat all other competitors in a death match 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.
Design and implement a large social network database to support efficient queries. Competition Slides Poster
Capture the Flags (CTF, a form of security competition): 11th in SECCON CTF 2014, 8th in Codegate CTF 2015, 5th in DEFCON CTF 2015 as a team member of blue-lotus.