- Short Bio
Xiaohui Xie is a full profesor in the Department of Computer Science
at UC Irvine, where he has
been since 2007. He received his PhD from MIT, and completed his postdoctoral
training at the Broad Institute of MIT and Harvard. He is interested
in machine learning, neural networks, deep learning, and genomics. He lives in Irvine, California.
This web site is outdated. Please see Google Scholar for research projects ongoing in my group.
- Recent News
(8/5/17) Awarded a $470,796 NSF grant to study the application of deep
learning to genomics and other biomedical data.
(7/31/17) Congratulations to Daniel Quang for successfully defending
his PhD thesis!
Awarded an opportunity award from CCBS to develop computational
methods for characterizing metastatic potential by
single cell DNA sequencing.
(7/11/17) My group ranked #1 in the AI Tianchi Competition organized by Alibaba
and Intel. 2886 teams participated in this compettion, the goal of which is to automatically detect
nodules in low-dose lung CT
images. Congratulations to team members - Daniel Kim & Hao Tang! Our
solution is based on 3D Convolutional Neural Nets.
(7/5/17) My comments in Science on the impact of deep learning
to genomics: AI is changing how we do science. Get a glimpse
- (2/1/17) My group is one of winning teams in the ENCODE-DREAM
Challenge. Congratulations to Daniel Quang!
- Research Interests
AI/Machine Learning, Neural Networks, Deep Learning, Geonomics
Search for my publications at
See all publications
- CS273P Machine Learning and Data Mining, Spring 2019
- CS175 Project in Artificial Intelligence, Spring 2018
- CS206 Principles of Scientific Computing, Spring 2017
- ICS6N Computational Linear Algebra, Winter 2017
Principles of Scientific Computing, Spring, 2014
227C/CS 285 Stochastic differential equations, Spring, 2014
CS295: Convex Optimization, Winter, 2011
CS190/295: Programmng in Python for Life Sciences
, Winter, 2012
CS295: Stochastic Differential Equations in Systems Biology and
Engineering, Spring, 2011
- CS284A: Representations &
Algorithms for Molecular Biology , Fall, 2010