Hao Zhang - Computer Science

Hao Zhang
Contact
Information
Address: 1600 Plum St. APT #29E, Fort Collins, Colorado, 80521
Cell phone: 970-818-1065
E-mail: [email protected]
Homepage: http://www.cs.colostate.edu/~zhangh/
Research Field
I’m interested in computer vision, machine learning and biometrics (with an emphasis on face recognition). I’m pursuing a Ph.D. degree in Computer Science under the supervision of Dr. Ross
Beveridge and Dr. Bruce Draper.
Computer Skills
Education
• Languages: PYTHON, C/C++, MATLAB, R, SAS, HTML, VHDL, PROLOG, ALLOY
• Operating System: Linux/Unix, Mac OS, Windows
• Applications: Deep Learning, OpenCV, LATEX, SVN, CCStudio, Eclipse, VIM, Amazon Web
Services, CGI
Colorado State University, Fort Collins, Colorado, USA
Ph.D, Computer Science, 08/2010 - Now
Colorado State University, Fort Collins, Colorado, USA
Master of Science, Computer Science, 08/2010 - 05/2013
• GPA: 3.76/4.0
Shanghai Jiao Tong University, Shanghai, China
Bachelor, Electrical Engineering, 09/2006 - 06/2010
Honors and
Awards
Graduate Assistantship, Colorado State University, 2010-Now
Graduate Fellowship, Colorado State University, 2010
Excellent Scholarship for Undergraduates, Shanghai Jiao Tong University, 2007, 2008
Research
Experience
Colorado State University, Fort Collins, Colorado, USA
Research assistant
01/2011-Now
• Proposed two novel hashing techniques on performing approximate nearest neighbor search for
large-scale, unsupervised data. Retrieval performance is much higher compared to state-of-the-art
approaches. Two papers are under review.
• Invented a novel method, “Randomized Intraclass-Distance Minimizing Binary Codes” (RIDMBC),
that learns binary representations of face images for face recognition. The corresponding paper has
been published (oral) in IJCB 2014, one of the major biometric conferences.
• Played a very important role in constructing and proposing the most challenging and largest video
face recognition dataset so far, namely the Point and Shoot Challenge (PaSC).
• Implemented a fast and good-performing baseline algorithm based on distance calculation between
subspaces to solve the PaSC video face recognition problem. The computation speed was greatly
accelerated using map-reduce methods.
• Performed a thorough study on using soft biometrics (e.g., gender, race, face shape) to improve
the performance of existing face recognition algorithms. In this study, the information of soft biometrics was estimated first and then fused with existing face recognition algorithms. Their impact
on the recognition performance was carefully evaluated.
Shanghai Jiao Tong University, Shanghai, China
Summer internship
06/2009-09/2009
Successfully published a paper on sparse representation of color images. Introduced a novel K-QSVD
algorithm by adapting the K-SVD algorithm in quaternion spaces.
Participation in Research Program (PRP)
02/2009-07/2009
Accomplished a project on the design and testing of a high resolution phase difference detection
system using hardware-based DSP technology.
Services
Reviewer for CVPR 2014 Biometric Workshop.
Publications
Hao Zhang, J. Ross Beveridge, Quanyi Mo, Bruce Draper and P. Jonathon Phillips. Randomized
Intraclass-Distance Minimizing Binary Codes for Face Recognition, International Joint Conference
on Biometrics (IJCB), 2014 (oral, to appear)
Yooyoung Lee, P. Jonathon Phillips, James J. Filliben, J. Ross Beveridge, Hao Zhang. Generalizing
Face Quality and Factor Measures to Video, International Joint Conference on Biometrics (IJCB),
2014 (oral, to appear)
J. Ross Beveridge, Hao Zhang, Patrick J. Flynn, Yooyoung Lee, Venice Erin Liong, Jiwen Lu, Marcus
de Assis Angeloni, Tiago de Freitas Pereira, Haoxiang Li, Gang Hua, Vitomir Struc, Janez Krizaj
and P. Jonathon Phillips. The IJCB 2014 PaSC Video Face and Person Recognition Competition,
International Joint Conference on Biometrics (IJCB), 2014(to appear)
Licheng Yu, Yi Xu, Hongteng Xu, and Hao Zhang. Quaternion-based sparse representation of color
image, IEEE International Conference on Multimedia and Expo (ICME), 2013.
Ross Beveridge, Jonathon Phillips, David Bolme, Bruce Draper, Geof Givens, Yui Man Lui, Mohammad Nayeem Teli, Hao Zhang, W. Todd Scruggs, Kevin Bowyer, Patrick Flynn and Su Cheng,
The Challenge of Face Recognition from Digital Point-and-Shoot Cameras, Biometrics: Theory, Applications and Systems (BTAS), 2013
Jonathon Phillips, Ross Beveridge, David Bolme, Bruce Draper, Geof Givens, Yui Man Lui, Su
Cheng, Mohammad Nayeem Teli and Hao Zhang, On the Existence of Face Quality Measures, Biometrics: Theory, Applications and Systems (BTAS), 2013

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