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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:
Current/Upcoming Classes:

Fall 16: CSE6363 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

Three papers were accepted by ICDM 2016.

One paper was accepted by NIPS 2016.

Three papers were accepted by MICCAI 2016.

Two papers were accepted by KDD 2016 (Research Track).

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:

NIPS, full paper due May 20
ICDM, full paper due June 17
AAAI, abstract due September 9, full paper due September 14
WWW, abstract due October 19, full paper due October 24
RECOMB, full paper due October 28
CVPR, abstract due November 8, full paper due November 15
IPMI, paper registration December 10, full paper due December 15
SIGIR, abstract due January 17, full paper due January 24
IJCAI, abstract due February 16, full paper due February 19
ICCV, full paper due March 17

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.