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    Heng Huang
    Associate Professor, University of Texas, Arlington
    Department of Computer Science and Engineering
Brief Biography:

Heng Huang received his Ph.D. in Computer Science from Dartmouth College in 2006, and his M.S. and B.S. from Shanghai Jiao Tong University.

Contact Information:

Office: 533 ERB Building, 500 UTA Blvd., Arlington, TX, 76019, Phone: (817) 272-7287,    Email:
Current/Upcoming Classes:

Spring 15: CSE6389 Advanced Machine Learning
Research Interests:

Data Mining, Machine Learning, Big Data
Bioinformatics, System Biology, Imaging Genomics
Computer Vision, Medical Image Analysis
Health Informatics, Electronic Medical Records, Smart Healthcare
Computational Sustainability

Three papers were accepted by AAAI 2015.

We have top research ranking based on the past five-year publications at:

Machine Learning (ranked 18th in 2014, ranked 16th in all North America universities)
Data Mining (ranked 19th in 2014, ranked 15th in all North America universities)

Supervised Students:
Current Students:
De Wang (PhD Student)
Xiaoqian Wang (PhD Student)
Graduated Students:
Nha Nguyen (PhD, Postdoc Researcher at University of Pennsylvania)
Vangelis Metsis (PhD, co-advise with Dr. Fillia Makedon, Assistant Professor in CS at Texas State University)
Hua Wang (PhD, Assistant Professor in EECS at Colorado School of Mines)
Dijun Luo (PhD, Data Scientist at WhaleShark Media)
Xiao Cai (PhD, Research Scientist at Abbott Lab)
Information for Future Students:

I am looking for Postdoc, PhD students, motivated for doing research in the areas of machine learning, bioinformatics, computer vision, and biomedical image analysis. If you are interested, please contact me.

If you are UTA master students and are looking for master thesis topics, please feel free to contact me.

Recent Conferences related to my research:

CVPR, full research papers due November 14
IPMI, abstract due December 11, full research papers due December 18
ISMB, full research papers due January 16
SIGIR, abstract due January 21, full research papers due January 28
ICML, full research papers due February 6
IJCAI, abstract due February 8, full research papers due February 12
KDD, full research papers due February 20
ACL, full research papers due February 27
MICCAI, full research papers due March 6
ICCV, full research papers due April 22
EMNLP, full research papers due May 31
ICDM, full research papers due June 3
NIPS, full research papers due June

In computer science, papers in top conferences have higher quality than most journals.
For reference purpose, there are some reasonable public CS conference ranking lists: Ref1, Ref2, Ref3, Ref4; also one CS journal ranking list: Ref5.