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Yi Xu

from Jersey City, NJ
Age ~44
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Also known as:
Chenyu Xu, Chen-Yu Xu, Yu Xu Chen
Related to:
Junwei Xu, 28Chuwen Xu
Connected to:
Angmai Xu, 69Baoji Xu, 61Baopei Xu, 86Beibei Xu, 41Bingxin Xu, 37Chan Xu, 62Chao Xu, 66Chengkun B Xu, 61Chenxi Xu, 32Chunchun Xu, 35

Yi Xu Phones & Addresses

  • Jersey City, NJ
  • Endicott, NY
  • Binghamton, NY
  • Apalachin, NY

Resumes

Resumes

Yi Xu Photo 1

Co-Founder Www.focusedu.cn

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Position:
Co-Founder and CEO at FocusEdu
Location:
Beijing City, China
Industry:
E-Learning
Work:
FocusEdu - Beijing China since Dec 2011
Co-Founder and CEO
Credit Suisse 2008 - Dec 2011
Associate
HiUSA.com.cn;Hiall.com.cn May 2004 - Sep 2007
Director
Goldman Sachs Jun 2007 - Aug 2007
Summer Associate
New Oriental Education & Technology Group (NYSE:EDU) 2003 - 2004
Assistant to the CEO; Director of Overseas Testing at Chengdu New Oriental
Education:
Stanford University Graduate School of Business 2006 - 2008
MBA, Finance and Strategy University of Chicago - Committee on International Relations 2001 - 2002
Masters, International Relations
Skills:
Private Equity
Venture Capital
Yi Xu Photo 2

Law Student

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Location:
Jersey City, NJ
Work:

Law Student
Yi Xu Photo 3

Yi Xu

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Location:
Jersey City, NJ
Work:
New York University
Student
Education:
New York University 2018 - 2020
Masters
Yi Xu Photo 4

Yi Xu

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Yi Xu Photo 5

Yi Xu

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Yi Xu Photo 6

Yi Xu

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Yi Xu Photo 7

Student At Pace University - Lubin School Of Business

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Location:
Greater New York City Area
Industry:
Accounting
Yi Xu Photo 8

Yi Xu Piscataway, NJ

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Work:
Rutgers University

Sep 2008 to 2000
Research Assistant
Education:
Rutgers University - New Brunswick
Piscataway, NJ
2007 to 2013
PhD. in Material and Surface Science
Peking University
2003 to 2007
BS in Physical chemistry

Business Records

Name / Title
Company / Classification
Phones & Addresses
Yi Xu
SHUN DA TRAVEL AGENCY INC
133-47 41 #2F, Flushing, NY 11355
13347 41 Rd 2F, Flushing, NY 11355
Yi Xu
Principal
New China I Chinese Restaurnt
Eating Place
73 Sherwood Dr, Larchmont, NY 10538

Publications

Us Patents

High Napthenic Content Distillate Fuel Compositions

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US Patent:
20210363449, Nov 25, 2021
Filed:
May 20, 2021
Appl. No.:
17/325944
Inventors:
- Annandale NJ, US
Timothy J. Anderson - Chatham NJ, US
Kenneth C.H. Kar - Yardley PA, US
Marcia E. Dierolf - Oley PA, US
Shifang Luo - Annandale NJ, US
Ian J. Laurenzi - Hampton NJ, US
Xinrui Yu - Furlong PA, US
Yi Xu - Millburn NJ, US
International Classification:
C10L 1/08
C10G 45/02
C10G 45/44
C10G 7/00
C10G 67/02
Abstract:
Distillate boiling range and/or diesel boiling range compositions are provided that are formed from crude oils with unexpected combinations of high naphthenes to aromatics weight and/or volume ratio and a low sulfur content. This unexpected combination of properties is characteristic of crude oils that can be fractionated to form distillate/diesel boiling range compositions that can be used as fuels/fuel blending products with reduced or minimized processing. The resulting distillate boiling range fractions and/or diesel boiling range fractions can have an unexpected combination of a high naphthenes to aromatics weight and/or volume ratio, a low but substantial aromatics content, and a low sulfur content. By reducing, minimizing, or avoiding the amount of hydroprocessing needed to meet fuel and/or fuel blending product specifications, the fractions derived from the high naphthenes to aromatics ratio and low sulfur crudes can provide fuels and/or fuel blending products having a reduced or minimized carbon intensity.

Pattern Change Discovery Between High Dimensional Data Sets

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US Patent:
20140122039, May 1, 2014
Filed:
Oct 23, 2013
Appl. No.:
14/060743
Inventors:
Yi Xu - Endwell NY, US
Zhongfei Mark Zhang - Vestal NY, US
Assignee:
The Research Foundation for The State University of New York - Binghamton NY
International Classification:
G06F 17/50
US Classification:
703 2
Abstract:
The general problem of pattern change discovery between high-dimensional data sets is addressed by considering the notion of the principal angles between the subspaces is introduced to measure the subspace difference between two high-dimensional data sets. Current methods either mainly focus on magnitude change detection of low-dimensional data sets or are under supervised frameworks. Principal angles bear a property to isolate subspace change from the magnitude change. To address the challenge of directly computing the principal angles, matrix factorization is used to serve as a statistical framework and develop the principle of the dominant subspace mapping to transfer the principal angle based detection to a matrix factorization problem. Matrix factorization can be naturally embedded into the likelihood ratio test based on the linear models. The method may be unsupervised and addresses the statistical significance of the pattern changes between high-dimensional data sets.
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Yi Xu from Jersey City, NJ, age ~44 Get Report