Yan is a research scientist at Facebook AI Research (FAIR), working on deep learning models and applications on personalization. He earned his Ph.D. in computer science at Rutgers University, and interned at FAIR, focusing on amodal segmentation and computer Go (DarkForest).
July 21, 2017
Common visual recognition tasks such as classification, object detection, and semantic segmentation are rapidly reaching maturity, and given the recent rate of progress, it is not unreasonable to conjecture that techniques for many of these…
Yan Zhu, Yuandong Tian, Dimitris Mexatas, Piotr Dollar,
July 21, 2017
May 02, 2017
Competing with top human players in the ancient game of Go has been a longterm goal of artificial intelligence. Go’s high branching factor makes traditional search techniques ineffective, even on leading-edge hardware, and Go’s evaluation…
May 02, 2017