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Bin Lu Phones & Addresses

  • Flushing, NY
  • Monterey Park, CA

Ranks

Licence: Connecticut - Active Date: 2011

Professional Records

Lawyers & Attorneys

Bin Lu Photo 1

Bin Lu - Lawyer

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Licenses:
Connecticut - Active 2011

License Records

Bin Lu

License #:
PNT.041303 - Expired
Issued Date:
Oct 7, 1996
Expiration Date:
Oct 7, 2001
Type:
Pharmacy Intern

Resumes

Resumes

Bin Lu Photo 2

Software Engineer

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Location:
Beijing City, China
Industry:
Internet
Work:
Google - New York, NY Jan 2012 - May 2012
Software Engineering Intern

Cornell University Aug 2010 - May 2011
Research Assistant

Microsoft Research Asia Jun 2009 - Nov 2009
Research Intern

Founder R&D Center, PKU Jul 2002 - Aug 2004
Software Engineer & Project Manager
Education:
City University of Hong Kong 2007 - 2013
PhD, Computational Linguistics
Cornell University 2010 - 2011
Visiting PhD Student, Computer Science
Peking University 2004 - 2007
Master, Computer Science
Beijing Information Technology Institute 1998 - 2002
Bachelor, Management Information System
Skills:
Machine Learning
Natural Language Processing
Information Retrieval
Text Mining
Data Mining
Artificial Intelligence
Computational Linguistics
Machine Translation
Sentiment Analysis
MapReduce
Semantic Technologies
Computer Science
Information Extraction
Pattern Recognition
NLP
Big Data
Languages:
Chinese
English
Bin Lu Photo 3

Bin Lu

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Bin Lu Photo 4

Bin Lu

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Bin Lu Photo 5

Bin Lu

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Bin Lu Photo 6

Bin Lu

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Bin Lu Photo 7

Architect At Pelli Clarke Pelli Architects

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Position:
Architect at Pelli Clarke Pelli Architects
Location:
Greater New York City Area
Industry:
Architecture & Planning
Work:
Pelli Clarke Pelli Architects
Architect
Bin Lu Photo 8

Accountant At Aig

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Position:
Accountant at AIG
Location:
Greater New York City Area
Industry:
Financial Services
Work:
AIG since May 2008
Accountant

Pepsi Cola Bottling Company of New York Aug 2006 - May 2008
Senior Accountant
Education:
City University of New York-Baruch College - Zicklin School of Business 2008 - 2011
MBA, Finance
City University of New York-Baruch College - Zicklin School of Business 2002 - 2006
BBA, Accounting
Bin Lu Photo 9

Bin Lu Brooklyn, NY

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Work:
American International Group Inc

Apr 2013 to 2000
Parent Company and Other - Supervisory Accountant

American International Group Inc

May 2008 to 2000

American International Group Inc

Jun 2011 to Mar 2013
Parent Company and Other - Accountant III

American International Group Inc

Jun 2010 to May 2011
Parent Company and Other - Accountant II

American International Group Inc

May 2008 to May 2010
Parent Company and Other - Accountant I

Pepsi-Cola Bottling Co
College Point, NY
Aug 2006 to Apr 2008
Staff Accountant

Education:
Bernard Baruch College CUNY
New York, NY
May 2014
Master of Business Administration in Finance

Business Records

Name / Title
Company / Classification
Phones & Addresses
Bin Lu
President
Roxture.Com Inc
930 Pantera Dr, Pomona, CA 91765
Bin Lu
Principal
Da Chung Wah Moving Inc
Transportation Services
13425 Franklin Ave, Flushing, NY 11355
Bin Lu
TRINITY TRADING GROUP CORP
40-44 74 St, Elmhurst, NY 11373
Bin Lu
President
JATTA TOURS, INC
327 S San Gabriel Blvd, San Gabriel, CA 91776
Bin Lu
Huibangyuan (USA) Trading Co., LLC
Import and Export Business Activities
14351 Red Hl Ave, Tustin, CA 92780

Publications

Us Patents

Emi Noise Reduction Circuit And Method For Bridgeless Pfc Circuit

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US Patent:
7215560, May 8, 2007
Filed:
Dec 13, 2005
Appl. No.:
11/301464
Inventors:
Marco Soldano - El Segundo CA, US
Bin Lu - Blacksburg VA, US
Assignee:
International Rectifier Corporation - El Segundo CA
International Classification:
H02M 1/12
H02M 7/12
US Classification:
363 44, 363 89
Abstract:
A circuit and method for improving EMI noise performance in a bridgeless PFC boost converter. Such a converter comprises a boost inductor having a first end connected to a first AC input terminal and a second end connected to a first junction defined between the anode of a first diode and a first terminal of a first switch; a second terminal of the first switch connected to a common line; a parallel circuit of a capacitance and a load connected between the cathode of the first diode and the common line; a series circuit of a second diode and a second switch connected between the cathode of the first diode and the common line; and a second AC input terminal connected to a second junction defined between the anode of the second diode and the second switch. High-frequency EMI noise is bypassed by placing a first filter capacitor between the first AC terminal and the common line. A second boost inductor may be connected between the second AC input terminal and the second junction, and a second filter capacitor may be connected between the second AC terminal and the common line.

System And Method For Bearing Fault Detection Using Stator Current Noise Cancellation

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US Patent:
7777516, Aug 17, 2010
Filed:
Jun 3, 2008
Appl. No.:
12/132056
Inventors:
Wei Zhou - Los Angeles CA, US
Bin Lu - Kenosha WI, US
Thomas G. Habetler - Snellville GA, US
Ronald G. Harley - Lawrenceville GA, US
Peter J. Theisen - West Bend WI, US
Assignee:
Eaton Corporation - Cleveland OH
International Classification:
G01R 31/34
US Classification:
324772, 3241581
Abstract:
A system and method for detecting incipient mechanical motor faults by way of current noise cancellation is disclosed. The system includes a controller configured to detect indicia of incipient mechanical motor faults. The controller further includes a processor programmed to receive a baseline set of current data from an operating motor and define a noise component in the baseline set of current data. The processor is also programmed to repeatedly receive real-time operating current data from the operating motor and remove the noise component from the operating current data in real-time to isolate any fault components present in the operating current data. The processor is then programmed to generate a fault index for the operating current data based on any isolated fault components.

System And Method For Motor Fault Detection Using Stator Current Noise Cancellation

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US Patent:
7847580, Dec 7, 2010
Filed:
Jan 8, 2009
Appl. No.:
12/350287
Inventors:
Wei Zhou - Los Angeles CA, US
Bin Lu - Kenosha WI, US
Michael P. Nowak - Menomonee Falls WI, US
Steven A. Dimino - Wauwatosa WI, US
Assignee:
Eaton Corporation - Cleveland OH
International Classification:
G01R 31/34
US Classification:
324772, 3241581
Abstract:
A system and method for detecting incipient mechanical motor faults by way of current noise cancellation is disclosed. The system includes a controller configured to detect indicia of incipient mechanical motor faults. The controller further includes a processor programmed to receive a baseline set of current data from an operating motor and define a noise component in the baseline set of current data. The processor is also programmed to acquire at least on additional set of real-time operating current data from the motor during operation, redefine the noise component present in each additional set of real-time operating current data, and remove the noise component from the operating current data in real-time to isolate any fault components present in the operating current data. The processor is then programmed to generate a fault index for the operating current data based on any isolated fault components.

Data Augmentation Based On Attention

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US Patent:
20220270353, Aug 25, 2022
Filed:
May 9, 2022
Appl. No.:
17/740211
Inventors:
- Grand Cayman, KY
Jieneng Chen - Beijing, CN
Shuyang Sun - Beijing, CN
Ju He - Beijing, CN
Bin Lu - Los Angeles CA, US
International Classification:
G06V 10/77
G06V 10/774
G06V 10/48
G06V 10/26
G06N 20/00
Abstract:
Implementations of the present disclosure relate to methods, devices, and computer program products for data augmentation. In the method, mixed data is generated from first data and second data, and the mixed data comprises a first portion from the first data and a second portion from the second data. An attention map is obtained for the mixed data based on distributions of the first and second portions in the mixed data, here the attention map describes contributions of the first and second data to the mixed data. A label is determined for the mixed data based on the attention map and a first label for the first data and a second label for the second data. With these implementations, the label is determined based on the contributions of the first and second images in an accurate and effective way, and thus has a value that is much closer to the ground true.

Isbn (Books And Publications)

China Fruit Market Report

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Author

Bin Lu

ISBN #

1741461197

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