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　　Yongxin Taylor Xi .

　　E.E. Dept., Princeton University, NJ 08544 Email: yxi@princeton.edu Web: www.aoji.cn Tel: (609) 423 5423

　　ACADEMIC EXPERIENCE

　　2006-Present Ph.D. Candidate, Department of Electrical Engineering, Princeton University

　　Adviser: Prof. Peter J. Ramadge

　　Course work Machine Learning Theory, Random Processes, Linear Systems Theory, Theory of

　　Detection and Estimation, Image Processing, Computer Vision, Differential

　　Geometry, Optimization of Communication Systems, Digital Neurocomputing,

　　Introduction to Cognitive Neuroscience. Major GPA: 3.87 / 4.00

　　Research interests • Manifold learning and fective feature extraction of high dimensional data

　　• Joint learning: fusing label data with manifold learning for intelligent embeddings

　　• Exploring unsupervised, supervised and semi-supervised classification methods

　　• Designing learning algorithms that generalize well for high dimensional data

　　• Applications of manifold learning and classification to:

　　· Computer vision problems such as face recognition

　　· Biological data analysis such as fMRI (classifying cognitive states) and DNA

　　expressions (classifying cancer categories)

　　2002-2006 Elctrical and Computer Engineering, Fudan University, Shanghai, China

　　Bachelor of Science, Electrical Engineering

　　GPA: 3.85 / 4.00 Major GPA: 3.93 / 4.00 Rank: 1 / 203

　　Second Major Certificate, Computer Science, Rank: 1 / 31

　　RESEARCH AND PROFESSIONAL EXPERIENCE

　　Oct 2007-Present Graduate Research Assistant Adviser: Peter Ramadge

　　Using LARS for learning fective projections in face recognition, Pixl Lab, Princeton University

　　• Studied various feature extraction methods in appearance-based face recognition.

　　• Investigated feature selection via sparse regression algorithms (e.g., Least Angle Regression).

　　• Proposed and tested new learning algorithms incorporating LARS. LARS automatically selects a

　　sparse set of the most relevant features from a pool of candidate features.

　　• The results of this method applied on several face databases are promising. Ongoing research aims

　　to merge manifold learning and “sparsifying” classifier into a single objective.

　　Feb 2007-Sep 2007 Graduate Research Assistant Adviser: Peter Ramadge, Mung Chiang

　　Learning from fMRI data via Support Vector Decomposition Machine (SVDM), Pixl Lab &

　　Psychology Department, Princeton University

　　• Investigated the concurrent dimensionality reduction and learning of the data using SVDM, which

　　minimizes the reconstruction error and training error at the same time.

　　• Derived methods for solutions of the non-convex optimization problem.

　　Feb 2007-May 2007 Graduate Course Research Adviser: Sun-Yuan Kung

　　A comparison study of model based and model free Linear Cancer Classifiers, Electrical

　　Engineering Department, Princeton University

　　• Compared and analyzed the performance of model based (i.e., LDA, etc.) classifiers and model free

　　classifiers (i.e. SVM, weighted voting).

　　• Investigated the limitation of SNR alone as feature selection criterion.

　　Jun 2005-May 2006 Undergraduate Research Assistant Adviser: Liming Zhang

　　3D Face Recognition Project Group, Image and Intelligence Lab, Fudan University

　　• Senior Project: Novel method of 3D mesh construction and its application in 3D face recognition.

　　• Participated in the design of the 3D face recognition system.

　　• Implemented a sequence of robustness tests for the System.

　　AWARDS AND HONORS

　　2006 Princeton First Year Engineering Fellowship

　　2005 Microchip China University Scholarship (50 in China)

　　2005 Hitachi High-Tech Scholarship (5 in Fudan Univ.)

　　2005 Samsung First Prize Scholarship (2 in EE Dept., Fudan Univ.)

　　2004 Shanghai Model Student (198 in Shanghai)

　　2004 Fudan University Top Grade Scholarship (19 in Fudan Univ.)

　　2004 Engineering School Top 10 Student Award (10 in Engineering School, Fudan Univ.)

　　2003 Samsung First Prize Scholarship (3 in EE Dept., Fudan Univ.)

　　PUBLICATIONS AND PRESENTATIONS

　　Y. Xi, Discriminative Face Recognition via Regression, Technical Report, Princeton University, Feb 2008

　　Y. Xi, P. Ramadge, Using LARS for learning fective projections in face recognition, Poster Presentation,

　　Workshop of Computer Research Association (CRA-W), Seattle WA, Mar 2008

　　Y. Xi, Alternative Ways to Solve Optimization Problem in Support Vector Decomposition Machine, Project

　　report, Princeton University, May 2007

　　Y. Xi, The Ventral Visual Object Pathway in humans: Evidence from fMRI, Research Group Presentation,

　　Mar 2007

　　Y. Xi, H. Guo, B. Xiang, 3D mesh construction and its application in 3D face recognition, Undergraduate

　　Thesis, Fudan University, May 2006

　　SKILLS

　　Language Fluent English, Native Mandarin, Shanghainese Dialect

　　Programming Matlab 7, C++, C, VB, Assembly, CCS (DSP), AutoCAD, SQL Server

　　Documentation LaTex, MS Office, HTML

　　TEACHING EXPERIENCE

　　Fall 2007 ELE 488: Image Processing (Instructor: Bede Liu), Princeton University

　　OTHER ACTIVITIES

　　Jan 2008-Present GEA (Graduate Engineering Ambassadors), Princeton Univ.

　　• Liaising with prospective, admitted, and new Princeton Engineering students

　　Mar 2008-Present Special Events Chair, GCHC (Graduate College House Committee), Princeton Univ.

　　• Arranging for special events for graduate students

　　Sep 2007-Present VP, ACSS (Association of Chinese Students and Scholars), Princeton Univ.

　　• Organizing social, intellectual and cultural activities regularly among Chinese students and scholars

　　Dec 2006-Present VP, CIEPU (Chinese Institute of Engineers), Princeton Univ.

　　• Coordinating student seminars to enhance the knowledge of different engineering subjects

　　Nov 2007-Oct 2007 Social Chair, GCHC (Graduate College House Committee), Princeton Univ.

　　• Organizing weekly social hour for graduate students and maintaining the movie DVD collections

　　2003-2006 Student President, Academic Affairs Dept. of Electrical Engineering, Fudan Univ.

　　INTERESTS

　　Traveling, Pet raising, Tennis, Ice skating, Ballroom dance, Chinese calligraphy.

　　通过上面对美国研究生申请简历模板的解读，相信对于很多计划申请美国研究生的学生可以参考上面的信息来提前做好申请美国研究生的准备和规划。

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