I am a third year Ph. D. student in Institute for Computational and Mathematical Engineering at Stanford, advised by Andrea Montanari. Before coming to California, I studied Mathematics at Peking University. My research interest lies broadly in data sciences, say, in the intersection of applied probability, statistics, machine learning, information theory, and computations. Currently, I am interested in random matrices and random graphs, convex and non-convex optimizations, sequential testing and adaptive design.
Honors & Awards
Stanford Graduate Fellowship, Stanford University (2014-2017)
- The Landscape of the Spiked Tensor Model COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS 2019; 72 (11): 2282–2330
- THE LANDSCAPE OF EMPIRICAL RISK FOR NONCONVEX LOSSES ANNALS OF STATISTICS 2018; 46 (6): 2747–74
- A mean field view of the landscape of two-layer neural networks PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2018; 115 (33): E7665–E7671
- ON A MOLECULAR BASED Q-TENSOR MODEL FOR LIQUID CRYSTALS WITH DENSITY VARIATIONS MULTISCALE MODELING & SIMULATION 2015; 13 (3): 977-1000