Yimin Tan

Master student

Department of Computer Sciences Email: aca3tu@r.postjobfree.com

University of Wisconsin-Madison Telephone: +1-608-***-****

Objective

Software Engineering (specialized in Machine learning, Data mining)

Education

University of Wisconsin-Madison, Computer sciences Department GPA:3.8

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Master student,Research assistant Advisor: Prof Xiaojin(Jerry) Zhu Sept. 2010 – Dec. 2013

Tsinghua University, Electronic engineering Department GPA:90.2

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B.E. undergraduate student(graduate with honor) Sept. 2006 – July 2010

Selected Machine learning related courses

CS: Machine learning, Advanced Machine learning, Data model, Nonlinear optimization

Stats: Mathematical statistics i,ii ECE: Statistical signal processing

Internship

Prediction of user scrolling preference in News-feed May 2012 – Aug. 2012

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Software Engineering, Facebook Inc. (News-feed ranking team)

– Collected users’ scrolling behavior when going through facebook page (Javascript)

– Data logging, fetching, joining on server-side (PHP,SQL)

– Designed relevant features, trained prediction models,and analyzed model performance offline (C++)

– Run online A/B test, and improved News-Feed Ranking system based on scrolling preference model

Research experience

• Spatial-Temporal signal recovery from Twitter data Nov. 2011 – Sept. 2012

– Proposed probabilistic model to reconstruct spatial-temporal maps of events from social media (Twitter data)

– Formulated signal recovery as Poisson intensity estimation with regularization

• Safe semi-supervised bagging Sept. 2012 – June 2013

– Proposed density-ratio bagging, a safe semi-supervised extension of bagging

– Designed synthetic and real experiments on variety of semi-supervised regression and classification algorithms

• Anti/Pro semi-supervised learning (SSL) method Jan. 2011 – Oct. 2011

– Systematically analyzed situation where SSL succeeds or fails

– Constructed anti/pro-SSL dataset pairs for existing SSL algorithms, which satisfy/violate underlying SSL

assumptions,and proved their success or failure with SSL

• Bayesian graphical model for Topic modeling Oct. 2009 – May 2010

– Proposed Topic-weak-correlated Latent Dirichlet Allocation (TWC-LDA) for topic modeling, which constrains

different topics to be weak-correlated

– TWC-LDA successfully discovers weak-correlated topics with distinctive semantic meanings

Publication

Yimin Tan, Xiaojin Zhu. Dragging:density-ratio bagging UW-Madison CS Technical report TR1795, 2013

Yimin Tan, Zhijian Ou. Topic-weak-correlated Latent Dirichlet Allocation

In Proc. International Symposium on Chinese Spoken Language Processing (ISCSLP), Taiwan, 2010.

Technical Skills

Programming languages C/C++, Python, Java, PHP, Javascript, Matlab

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