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    Heng Huang
    Professor, Computer Science and Engineering, University of Texas at Arlington
    Adjunct Professor, Clinical Sciences, University of Texas Southwestern Medical Center
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: heng@uta.edu
Current/Upcoming Classes:

Spring 16: CSE6389 Advanced Machine Learning
Research Interests:

Big Data Mining, Machine Learning, Data Science
Bioinformatics, System Biology
Neuroinformatics, Neurotechnology
Health Informatics, Electronic Medical Records, Smart Healthcare
Computer Vision, Medical Image Analysis
Computational Sustainability
Natural Language Processing
News:

Two papers were accepted by KDD 2016.

Two papers were accepted by IJCAI 2016.

Five papers were accepted by AAAI 2016.

Supervised PhD Students:
Current Students:
De Wang, Xiaoqian Wang, Hongchang Gao, Zhouyuan Huo
Graduated Students:
Nha Nguyen (PhD'10, 1st Employment: Postdoc Researcher at University of Pennsylvania)
Vangelis Metsis (PhD'11, 1st Employment: Assistant Professor in CS at Texas State University)
Hua Wang (PhD'12, 1st Employment: Assistant Professor in EECS at Colorado School of Mines)
Dijun Luo (PhD'12, 1st Employment: Data Scientist in WhaleShark Media)
Xiao Cai (PhD'13, 1st Employment: Research Scientist in Abbott Lab)
Jin Huang (PhD'13, 1st Employment: Data Scientist in Apple)
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:

IJCAI, abstract due January 27, full paper due February 2
KDD, full paper due February 12
MICCAI, full paper due March 17
CIKM, abstract due May 9, full paper due May 16
NIPS, full paper due May 20
EMNLP, full paper due June 3
ICDM, full paper due June 17
COLING, full paper due July 15
WSDM, abstract due July 31, full paper due August 7
AAAI, abstract due September 9, full paper due September 14
ICDE, full paper due October 11
CVPR, full paper due November 11
IPMI, full paper due December 15

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.