Sql Server Management

**** ********* ***** *****: 215-***-****

Jia Huang

Santa Clara, CA 95054 Email: *****@******.***

JOB TARGET Research Scientist/Data Scientist in:

Machine Learning and Recommendation, Information Retrieval, Social Network

Analysis

Drexel University, Philadelphia, PA

EDUCATION 09/2009 present

Ph.D. Candidate in Information Studies

Advisor: Xiaohua(Tony) Hu, GPA: 3.83/4.00

Wuhan University, Wuhan, China 09/2007 06/2009

M.S. in Information Resources Management

Advisor: Feicheng Ma, GPA: 3.86/4.00

Wuhan University, Wuhan, China 09/2003 – 06/2007

B.S. in Electronic Commerce

GPA: 3.38/4.00, Ranking: 5/62

Drexel University, Philadelphia, PA Ph.D. Candidate Advisor: Xiaohua Hu

RESEARCH

EXPERIENCES • Social Influence in Recommnedation Networks, 04/13 Present

Results showed that the information pass rate between friends was 10 times larger than

that of a random network. Besides, the more times an item is recommended, the more

likely that one will accept this item. Will appear in The First Workshop on User

Engagement Optimization at ACM CIKM 2013.

Contextual Item Recommendation, 11/2011 Present

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Developed a hybrid recommendation algorithm, which combined Matrix

factorization and Probabilistic models (PLSA, LDA), and applied it to

MovieLens and Douban datasets. Results showed that social network

with regularization model can reduce MAE and RMSE of rating

predication by 12.7%. In Proc. IEEE GrC ’11.

Tag Recommendation and Social Retrieval in Folksonomies,

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02/2010 11/2011

Developed a Post based Collaborative filtering algorithm on tag

recommendation. Implemented several Tensor Factorization algorithms

on item retrieval. Results showed that the Post based CF can improve the

F score by 20%. In Proc. iConf ’11.

Social Network Analysis in a Medical System, 09/2009 02/2010

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Tested the hypotheses about the correlations of the in degrees and out

degrees of users between three CMC formats in MedHelp.org, including

forum, journal, and note. (with UCINET and Pajek). In Proc. IEEE

ICSC’11.

TCL Research America, Recommendation group. Santa Clara, CA. 01/2013 – Present

WORK

EXPERIENCES • Movie Subtitles matching

Correct the errors in OCR (Optical Character Recognition) movie subtitles by subtitles

from the web. Proposed a dynamic programming algorithm and got a precision of 0.84.

• Large scale Recommendation

Tested major algorithms in two recommendation tools, SVDFeature and MyMediaLite

on MovieLens 100k, 1m and 10m datasets, and large scale dataset KDDCup 2011.

Janssen R&D, In Silico Immunology team. Radnor, PA. 06/2012 08/2012 (3 months)

• Developed computational methodologies to combine data outputs from different

software platforms. Accelerate current Life Cycle Management (LCM) process by fold

changes between 14 and 120. (VBA, Java. Tool: Gene Set Enrichment Analysis)

• Extended the LCM process through upstream analysis of gene expression data (Tool:

Ingenuity Pathways)

J. Huang, X. Hu. Information Passing in Online Recommendation. Will appear in The First

PUBLICATIONS

Workshop on User Engagement Optimization at ACM CIKM 2013, San Francisco, CA.

L. Guo, J. Huang, Y. Ling and X. Hu. Probabilistic Item Social Reputation Model for

Recommender System. Will appear in the CrowdRec 2013 Workshop at ACM RecSys 2013,

Hong Kong.

J. Huang, X. Hu, C. Lu. A Comparison Study on Familiarity Based and Similarity Based

Social Networks. In Proceedings of the 2011 IEEE Conference on Granular Computing,

2011, Kaohsiung.

C. C. Yang, X. Tang, J. Huang, and J. Unger, A Study of Social Interactions in Online

Health Communities. In Proceedings of IEEE International Conference on Social

Computing, Boston, MA, October 9 11, 2011.

C. Lu, X. Hu, J. Park, J. Huang. Post based Collaborative Filtering for Personalized Tag

Recommendation. In Proceedings of the iConference 2011, Seattle WA.

J. Huang. Analyzing the Ordering Process of Web2.0 from the Perspective of Self

Organization. Document, Information & Knowledge, 2008(3).

J. Huang, C.Lu, X. Hu. Recommendation with Profile based Social Regularization. In

UNPUBLISHED

WORK CAOSS 2012: Workshop on Computational and Online Social Science (poster). October 12,

2012, New York City.

Reviewer of papers in JASIST (Journal of the American Society for Information Science and

Technology), Apr.2012.

LANGUAGES Programming languages: Java (4 year experience), C, C#(prior experience), SQL, JSP,

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AND TOOLS Javascript (proficient), Jquery(proficient), ASP(proficient), CSS(proficient), XML,

VBA.

Tools: Eclipse, Matlab, Lucene, SQL Server, UCINET, Pajek, DragonToolkit.

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