Furong Huang



My research interests include machine learning, high-dimensional statistics and distributed algorithms.


I enjoy both the theoretical analysis and practical implementation of spectral algorithms for latent variable graphical models. 


Applications include text and image mining, community detection in social networks and cell type detection using in situ hybridization brain images in computational biology. 




Advisor:       Animashree Anandkumar

Co-advisor:  Athina Markopoulou, Carter Butts. 

Mentor:       Jennifer Chayes

                  Christian Borgs 

Research Intern in Cloud and Information Services Lab (CISL /'sɪzəl/) in Microsoft 

                                               
Mentor:       Paul Mineiro

                  Nikos Karampatziakis


Research Interests

My research focus on spectral methods (matrix and tensor decompositions) on latent variable graphical models (such as latent dirichlet allocation, mixtures of graphical models, hidden markov model) on distributed systems with large scale data. Some of my previous works involve distributed spectral decomposition techniques for topic modeling and community detection for large scale networks with extension to temporal dynamic networks.  

I am also interested in optimization of large scale numerical algebraic operations and distributed computing and systems. Implementation-wise, I worked on distributed implementation of alternating minimization for tensor decomposition on the cloud, fast GPU implementation of stochastic gradient descent methods for tensor decomposition and so on. 

Another thread of my research lies in computational biology. Generally I am interested in applying machine learning techniques to guide biological experiments. I worked on modeling transcriptional factors using microarry gene expression levels data and cell type detection of mouse brains. 

Keywords
  • Machine Learning
  • Graphical Models
  • Online Social Network
  • Dynamic Networks
  • Spectral Methods
  • Stochastic Gradient Descent
  • GPU implementation
  • Computational Biology
NEWS

Recent Announcements

  • Contribute to MLSS Furong recently contributed to machine learning summer school 2014 .See Professor Anandkumar's slides here : website. You could find the big data learning slides here.  Professor Anandkumar's lecture video
    Posted Oct 20, 2014, 9:47 AM by Furong Huang
  • Research Intern at MSR NE Furong joined Microsoft Research New England as an intern on June 23rd 2014 and she will be working in machine learning with applications to computational biology.  Her mentor is Jennifer ...
    Posted Jun 23, 2014, 9:33 PM by Furong Huang
  • Research Intern at MSR Furong joined Microsoft Research Redmond on March 3rd 2014 and she will be working in the US-SQL CISL & Incubation group with Paul Mineiro, Nikos Karampatziakis and Vijay Narayanan. 
    Posted Mar 5, 2014, 5:24 PM by Furong Huang
  • Topic Model Workshop NIPS 2013 Dec 10th, 2013 - Contributed Talk at Topic Model Workshop at NIPS 2013. Slides: pdf. Video is coming soon. 
    Posted Dec 13, 2013, 5:05 PM by Furong Huang
  • WiML 2013 Travel Grant of Women in Machine Learning (WiML) workshop 2013 December 2013.
    Posted Dec 13, 2013, 5:04 PM by Furong Huang
Showing posts 1 - 5 of 13. View more »




Github: http://github.com/FurongHuang


4431 Engineering Hall,
University of California, Irvine
Irvine, CA 92697-3425
CA