Yan Zhu

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).

Yan's Publications

July 21, 2017

RESEARCH

THEORY

Semantic Amodal Segmentation

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

RESEARCH

ML APPLICATIONS

Better Computer Go Player with Neural Network and Long-Term Prediction

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…

Yuandong Tian, Yan Zhu,

May 02, 2017