Assistant Computer Science

Diane Hu

**** ****** *****, **** **** **** La Jolla, CA 92093

858-***-**** abpi61@r.postjobfree.com

http://cs.ucsd.edu/ dhu

Research Interests

Probabilistic models for music, images, and text, with applications for content-based media annotation/retrieval.

Education

2006 Present

University of California, San Diego, La Jolla, CA

Ph.D. Student in Computer Science Advisor: Lawrence Saul

2006 2009

University of California, San Diego, La Jolla, CA

M.S. in Computer Science Advisor: Lawrence Saul

2002 2006

University of Washington, Seattle, WA

B.S. in Computer Science, Minor in Music, Cum Laude Advisor: Linda Shapiro

Selected Publications & Reports

D. J. Hu, L. Bo, X. Ren, A joint framework for material and object recognition, British Machine Vision

Conference (BMVC), Dundee, Scotland, 2011.

D. J. Hu, L.P. van der Maaten, Y. Cho, L. K. Saul, S. Lerner, Latent variable models for predicting le

dependencies in large-scale software development, Neural Information Processing Systems (NIPS), Vancouver,

Canada, 2010.

D. J. Hu, L. K. Saul, A topic model for audio and symbolic music analysis, Neural Information Processing

Systems (NIPS) Workshop on Topic Modeling, Whistler, Canada, 2009.

D. J. Hu, Latent Dirichlet allocation for images, text, and music, UCSD CSE Department Qualifying Exam, 2009.

D. J. Hu, L. K. Saul, A probabilistic topic model for unsupervised learning of musical key-pro les, International

Conference on Music Information Retrieval (ISMIR), Kobe, Japan, 2009.

C. Cheng, D. J. Hu, L. K. Saul, Nonnegative matrix factorization for real-time musical analysis and sight-reading

evaluation, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, 2008

Research & Industry Experience

Research Intern Yahoo! Labs, Sunnyvale, CA Advisor: Sudarshan Lamkhede Summer 2011

Worked with Yahoo s user search data (containing upwards of multi-millions of examples per dataset) to work on

algorithms that would trigger consistent news and movie direct displays (DDs) on search result page for all search

queries with similar purpose/intent. Work done with the Search Sciences team.

Research Intern Intel Labs, Seattle, WA Advisor: Xiaofeng Ren Summer 2010

Automatically classify everyday household objects into material categories (i.e. wood, plastic, glass, etc.) in image

collections (using computer vision) and physical object datasets (using a multi-sensor approach with macro lenses,

RGB-D cameras, audio recordings, and weight/volume data).

Software Developer Intern Teranode Corp., Seattle, WA Advisor: Kuang Chen Summer 2006

Implemented, tested, and documented a new framework for the Teranode XDA Platform SDK in Java that allows

users to load self-developed plug-ins into Teranode XDA software. Also worked with the Teranode consulting team

to develop several plug-ins on top of Teranode Core for client P zer Inc.

Teaching Experience

CSE 3 Teaching Assistant UC San Diego, La Jolla, CA Advisor: Susan Marx Fall 2011

Undergraduate non-engineering course on information technology, covering HTML, word processing, and basic

programming logic. Responsibilites include leading weekly lab tutorials and lab help hours.

CSE 21 Teaching Assistant UC San Diego, La Jolla, CA Advisor: Ron Graham Fall 2011

Undergraduate discrete math course, covering enumeration and counting techniques, recurrence relations, graph

theory, applied discrete probability,etc. Responsibilites include grading and holding weekly o ce hours.

CSE 11 Teaching Assistant UC San Diego, La Jolla, CA Advisor: Paul Kube Spring 2011

Undergraduate introductory programming couse in Java, covering basic programming concepts and frameworks.

Responsibilites include leading weekly discussion sections, holding hands-on lab hours, and grading.

CSE 103 Teaching Assistant UC San Diego, La Jolla, CA Advisor: Sanjoy Dasgupta Fall 2010

Undergraduate probability and statistics course, covering basic probability, randomized algorithms, stochastic

processes, statistical hypothesis testing, and basic machine learning. Responsibilities include leading weekly

discussion sections, grading, writing detailed homework solutions, and holding o ce hours.

CSE 150 Teaching Assistant UC San Diego, La Jolla, CA Advisor: Lawrence Saul Winter 2011

Undergraduate machine learning course that covers topics like graphical models, learning and inference in Bayesian

networks, prediction and planning in Markov decision processes. Responsibilities include holding weekly discussion

sections and o ce hours.

Skills

Relevant Coursework: Statistical Machine Learning, Statistical Natural Language Processing, Computer Vision

Technical Skills: Matlab, Perl, Java, Cocoa/Objective C, Hadoop, C/C++, HTML/CSS

Honors

2007 2010

National Science Foundation (NSF) Graduate Research Fellowship

2007 2008

Google Anita Borg Memorial Scholarship Finalist

2006 2007

UCSD Powell Foundation Junior Ph.D. Student Research Fellowship

2004 2006

Mary Gates Endownment Undergraduate Research Scholarship

2004 2005

Microsoft Scholarship

2002 2006

Washington NASA Space Grant Scholarship

2002 2004

University of Washington Undergraduate Scholarship

Activities

Wedding & Portrait Photographer Diane Hu Photography (www.dianehuphotography.com) 2009 Present

Graphic Designer Ethnos Community Church (www.ethnos.us) 2008 Present

Small Group Leader UCSD Graduate Christian Fellowship (gcf.ucsd.edu) 2010 2011

Volunteer Tutor & Webdesigner Achieve Tutoring Program (www.achievesandiego.com) 2006 2009

O cer and Webdesigner UW Chapter of ACM-W (cs.washington.edu/acmw) 2004 2006

Peer Mentor for undergraduate women UW CSE 2004 2006

Gospel Choir, Piano Ensemble, Private Piano Lessons UW School of Music 2002 2005

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