My name is Jianyu Wang (王健宇 in Chinese). I am a third-year Ph.D. student at Carnegie Mellon University, advised by professor Gauri Joshi and affiliated with Optimization, Probability, and Learning (OPAL) group, Parallel Data Lab. My research has been supported by Qualcomm Ph.D. fellowship.
Before coming to CMU, I received a Bachelors with honor in Electronic Engineering at Tsinghua University, where I worked with professor Yuan Shen on several projects about statistical inference. I was also fortunate to visit professor Yu Bin's group at U.C. Berkeley in summer 2016, working on the optimization landscape of neural networks.
My research focuses on providing fundamental understandings of how distributed training algorithms are influenced by system-level variability in the computing infrastructure, and statistical variability in the training data. Inspired by the theoretical insights, I seek to design system- and data-aware distributed training algorithms that can seamless scale to a large number of computing nodes.
I am interested in distributed machine learning, federated learning, and distributed optimization.
Research Intern, Summer 2020
Mentor(s): Zachary Garrett, Zheng Xu
Project: Federated Learning
Facebook AI Research
Research Intern, Summer 2019
Mentor(s): Michael Rabbat, Nicolas Ballas
Project: Communication-efficient Distributed Deep Learning
Carnegie Mellon University
Sept. 2017 -- Present
Ph.D. student in Electrical & Computer Engineering
Aug. 2013 -- July. 2017
B.Eng. in Elelctronic Engineering
CGPA: 91/100, ranking: top 10%
|2019||Distinguished Student Paper Award||Workshop on Federated Learning for Data Privacy and Confidentiality (@ NeurIPS 2019)|
|2019||Qualcomm Innovation Fellowship|
|2018||Benjamin Garver Lamme/Westinghouse Graduate Fellowship, CMU|
|2017||College of Engineering Dean’s Fellowship, CMU|
|2017||Excellent Graduate Awards, Tsinghua||Awarded to top 10% among all 3000 undergraduates|
|2015||Fellowship of Spark Talents Program, Tsinghua||Awarded to top 50 students, dedicated to scientific and technological innovations|
|2012||National Training Team for International Physics Olympiad||Selected top 60 students in China|
|2016||Aviation Industry of China Scholarship||For academic and reasearch excellence|
|2016||Huawei Scholarship||For comprehensive excellence|
|2015||TP-Link Scholarship||For academic, research and social work excellence|
|2014||Zheng Geru Scholarship||For academic excellence|