Computer Science Assistant

Daozheng Chen

**** *.*. ******** ********, University of Maryland, College Park, MD 20742

Phone: 240-***-**** E-Mail: *****@**.***.***

Research Interests

Computer Vision: Object Detection and Recognition.

Machine Learning: Learning and Inference Algorithms of Probabilistic Graphical Models

Education

University of Maryland, College Park, MD, USA Aug. 2007 Present

PhD candidate in computer science (expect graduation date: spring 2013) Advisor: David W. Jacobs

University of Maryland, College Park, MD, USA Dec. 2009

Master of Science in computer science. GPA: 3.8/4.0

University of Maryland, College Park, MD, USA Aug. 2004 Aug. 2007

Bachelor of Science in computer science. Magna Cum Laude. GPA: 3.96/4.0

Graduated with Honor

Coursework equivalent to a minor in Mathematic

University of Idaho, Moscow, ID, USA Aug. 2003 July 2004

Attended. Major in computer science. GPA: 4.0/4.0

Research Experience

Siemens Corporate Research, Princeton, NJ, USA May 2012 Aug. 2012

Intern. Advisor: Shaolei Feng and S. Kevin Zhou

Super Resolution: Applied example-based super resolution method to enhance the resolution of

the ultrasound images and computed tomography (CT) images.

VXL Library Implementation: reimplemented parts of vul utilities library in VXL, a collection of C++

libraries designed for computer vision research and implementation.

University of Maryland, College Park, MD, USA

Graduate Research Assistant. Advisor: David W. Jacobs Aug. 2007 - Present

Dynamic Resource Allocation in Videos: 1) Developed a framework that combines algorithms with

different performance characteristics to perform video analysis. 2) Designed an algorithm that

efficiently allocates the use of expensive observations in probabilistic graphical models.

Video Frames Retrieval in Camera Networks: Developed a framework to perform retrieval of video

frames over a camera network using probabilistic graphical models.

Intern. Advisor: David W. Jacobs Aug. 2006 July 2007

The Electronic Field Guide project: 1) Applied algorithms based on index-driven similarity search in

metric spaces to speed up the querying process for an image database; 2) Designed algorithms

to automatically crop images for isolating leaf objects; 3) Applied Expectation-Maximization

algorithm to automatically segment leaves in images.

Toyota Technological Institute at Chicago, Chicago, IL, USA Aug. 2011 Nov. 2011

Visiting Research Intern. Advisor: Dhruv Batra

Group Norm for Learning Latent Structural SVMs: Developed an algorithm which applies group

sparse coding to estimates parameters of a Latent Structural SVM using the subgradient method

with applications in: 1) hand writing digit recognition, and 2) object detection using

discriminatively trained deformable part models.

MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA Sept. 2010 Mar. 2011

Visiting Research Intern. Advisor: William T. Freeman

The Image String Project: Developed an algorithm, which approximates the learning and

inference of general probabilistic graphical models using one-dimensional graphical models with

applications in detecting people in images.

Teaching Experience

University of Maryland, College Park, MD, USA

Teaching assistant of CMSC433 Programming Language Technologies and Paradigms Fall 2012

Teaching assistant for undergraduate Java concurrent programming course with approximately

80 students. Duties include implementing programming assignments, holding office hours, and

monitoring exams.

Teaching assistant of CMSC 412 Operating System Spring 2012

Led two discussion sections with approximately 40 students in total. Duties also included holding

office hours and grading class projects

Teaching assistant of CMSC 132 Object-Oriented Programming II Fall 2008

Led two discussion sections with approximately 40 students in total. Duties also included holding

office hours and grading exams

Publications

Daozheng Chen, Dhruv Batra, Bill Freeman, Micah K. Johnson. Group Norm for Learning Latent

Structural SVMs. In NIPS Workshop on Optimization in Machine Learning, 2011.

Daozheng Chen, Mustafa Bilgic, Lise Getoor, and David Jacobs. Dynamic Processing Allocation in

Video. IEEE transaction on Pattern Analysis and Machine Intelligence, vol.33, no.11, pp.2174-2187,

Nov. 2011.

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Daozheng Chen, Mustafa Bilgic, Lise Getoor, David Jacobs, Lilyana Mihalkova, Tom Yeh. Active

Inference for Retrieval in Camera Networks. In Workshop on Person Oriented Vision, 2011.

Daozheng Chen, Mustafa Bilgic, Lise Getoor, and David Jacobs. Efficient Resource-constrained

Retrospective Analysis of Long Video Sequences. In NIPS Workshop on Adaptive Sensing, Active

Learning and Experimental Design: Theory, Methods and Applications, 2009.

Peter Belhumeur, Daozheng Chen, Steven Feiner, David Jacobs, W. John Kress, Haibin Ling, Ida

Lopez, Ravi Ramamoorthi, Sameer Sheorey, Sean White and Ling Zhang, Searching the World's

Herbaria: A System of Visual Identification of Plant Species, In European Conference on Computer

Vision, 2008.

Course Projects

Implementation of JPEG, JPEG2000, and EBCOT in MATLAB.

Face recognition using PCA, LDA, and SVM.

Bag-of-feature model for image classification using naive Bayes classifier and SVM.

Image smoothing using non-linear diffusion.

Image segmentation using Markov Random Field (MRF) and Conditional Random Field (CRF) with

Iterated Conditional Model (ICM), Simulated Annealing, and Graphcut inference methods.

Skills

Platforms: Mac OS X, Windows, and Linux.

Programming Languages: MATLAB, C/C++, Java (with experience in JUnit test).

Language: Mandarin (Native), English (Fluent), Cantonese (Proficient).

Software packages: Bayes Net Toolbox for MATLAB, OpenCV, VLFeat, LIBSVM, Latent Structural

SVM.

Awards

Distinguished Teaching Assistant, Computer Science Department, University of Maryland. (2011-

2012)

Verizon Fellowship Award, Computer Science Department, University of Maryland. (2007-2009)

The Chevy Chase Bank Dean's Scholarship Fund in Computer Science, University of Maryland.

(2006-2007)

Lockheed Martin Book Scholarship Award, University of Maryland. (2006-2007)

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Tuition Waiver, University of Idaho. (2004-2005) (declined)

Tuition Waiver, University of Idaho. (2003-2004)

Activities

Volunteer, IEEE Conference on Computer Vision and Pattern Recognition, 2010.

Volunteer, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2010.

Citizenship and Visa Status

People's Republic of China. F-1 (student) Visa.

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