Yangyang Xu

About

Dr. Yangyang Xu earned a bachelor degree in Computational Mathematics from Nanjing University, a master degree from the Institute of Applied Mathematics at Chinese Academy of Sciences, and his Ph.D from the Department of Computational and Applied Mathematics at Rice University in 2014. Before joining RPI, Dr. Xu was an assistant professor at University of Alabama. He also spent one year as a postdoctoral fellow at University of Waterloo and another year as an NSF postdoc at University of Minnesota. 
Dr. Xu's broad research interests are optimization theory and methods and their applications such as in machine learning, statistics, and signal processing. He worked on developing algorithms for compressed sensing, matrix completion, and tensor factorization and learning. Recently, his research focuses on first-order methods, operator splitting, stochastic optimization methods, and high performance parallel computing. These works are motivated by very "big" problems arising in machine learning and image processing.

Research

Optimization has played a significant role in many areas such as engineering, sciences, health care. My research focuses on continuous optimization and is mainly motivated by “big” problems arising from image processing, machine learning, statistics, finance, and so on. Currently, we work on first-order optimization methods for solving constrained nonlinear programs and stochastic optimization with applications in deep learning.

Primary Research Focus
Optimization, Parallel computing, Compressed sensing, Matrix completion, tensor factorization and learning

Teaching

Office Hours

3:50pm - 4:50pm on Tuesday and Friday

Current Courses

MATP6960: Stochastic Optimization and Reinforcement Learning

Publications

The following is a selection of recent publications in Scopus. Yangyang Xu has 48 indexed publications in the subjects of Mathematics, Computer Science, Engineering.

Zichong Li, Pin Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
Computational Optimization and Applications
, 2023
.
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
, 37
, 2023
, pp.11219-11227
.
Nan Zhou, Hao Qin, Kup Sze Choi, Yuanhua Du, Jun Liu, Ping Li, Xiaoyan Huang, Kaibo Shi, Yangyang Xu
Journal of the Franklin Institute
, 360
, 2023
, pp.6929-6952
.
Yangyang Xu, Yibo Xu, Yonggui Yan, Colin Sutcher-Shepard, Leopold Grinberg, Jie Chen
Mathematical Programming Computation
, 15
, 2023
, pp.471-508
.
Gabriel Mancino-Ball, Yangyang Xu, Jie Chen
IEEE Transactions on Signal Processing
, 71
, 2023
, pp.525-538
.
Yangyang Xu, Yibo Xu
Journal of Optimization Theory and Applications
, 196
, 2023
, pp.266-297
.
Yonggui Yan, Jie Chen, Pin Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu
Proceedings of Machine Learning Research
, 202
, 2023
, pp.39035-39061
.
Gabriel Mancino-Ball, Shengnan Miao, Yangyang Xu, Jie Chen
Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
, 37
, 2023
, pp.9055-9063
.
Zichong Li, Pin Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022
, 36
, 2022
, pp.7453-7461
.

View All Scopus Publications

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