Quanquan Gu

Assistant Professor

Department of Systems and Information Engineering

Department of Computer Science

University of Virginia

Welcome!

I am an assistant professor at the University of Virginia, with a joint appointment in Systems and Information Engineering and Computer Science. I am also an affiliated faculty member in the Data Science Institute at UVa. My research is in statistical machine learning, with a focus on developing robust, adaptive and efficient machine learning, data mining and optimization algorithms with provable guarantee to understand large-scale, dynamic, complex and heterogeneous data in social and information networks, neuroscience and genomics. I am leading the Statistical Machine Learning Lab. Here is my latest CV.

News:

[2/2017]: I recieved NSF CAREER Award. See here for details.

[1/2017]: Four papers were accepted by AISTATS 2017.

[11/2016]: I'm going to offer SYS4582/6016: Machine Learning in Spring 2017.

[10/2016]: I am actively recruiting talented graduate and undergraduate research assistants.

[8/2016]: One paper was accepted by NIPS 2016.

[8/2016]: I received a research award from NSF III program. See here for details.

[6/2016]: One paper was accepted by Nucleic Acids Research (Impact factor: 9.2).

[5/2016]: Congratulations to Pan for receiving Presidential Fellowship in Data Science.

[5/2016]: One paper was accepted by KDD 2016.

[5/2016]: Two papers were accepted by UAI 2016.

[4/2016]: Two papers were accepted by ICML 2016.

[4/2016]: I'm going to offer SYS6003: Optimization for Machine Learning again in Fall 2016.

[3/2016]: One paper was accepted by SIGIR 2016.

[12/2015]: Three papers were accepted by AISTATS 2016.

[11/2015]: I'm going to offer SYS3060: Reinforcement Learning in Spring 2016.

[10/2015]: Two PhD positions available in my lab starting in Fall 2016 (Filled).

[9/2015]: I recieved Yahoo! Academic Career Enhancement Award. Thanks Yahoo! lab.

[9/2015]: One paper was accepted by NIPS 2015.

[4/2015]: I'm going to offer SYS6003: Optimization for Machine Learning in Fall 2015.

[4/2015]: One paper was accepted by ICML 2015.

Contact Me

Address: 101F, Olsson Hall, 151 Engineer's Way, Charlottesville, VA 22904-4747

E-mail: qg5w@virginia.edu

 

"It is never too late to be what you might have been." ---George Eliot

Last updated in Feb 22, 2017

copyright @ Quanquan Gu 2015

Acknowledgement: the design of this web is inspired by Dr. Jenn Wortman Vaughan's style sheet.