Jiyan Yang

RESEARCH SCIENTIST | MENLO PARK, UNITED STATES

Jiyan is a research scientist at Facebook AI Research (FAIR), working on machine learning problems in the ranking and recommendation domain. His focus includes large-scale distributed training algorithms, quantization algorithms, and deep learning modeling. Jiyan earned his Ph.D. from Stanford University, where his thesis used randomized linear algebra as a tool to develop optimization and machine learning algorithms for large-scale data applications.

Jiyan's Publications

July 05, 2023

RANKING AND RECOMMENDATIONS

AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations

Danwei Li, Zhengyu Zhang, Siyang Yuan, Mingze Gao, Weilin Zhang, Chaofei Yang, Xi Liu, Jiyan Yang

July 05, 2023

August 01, 2020

ML APPLICATIONS

Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction

Dehua Cheng, Eric Zhou, Jiyan Yang, Yuandong Tian, Qingquan Song, Xia Hu

August 01, 2020