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Wei Hong Yu

from Oakland, CA
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Also known as:
Wei H Yu, Wei C He, Wei J Huang, Yu Wei
Related to:
Weijun J Huang, 57Paul Law, 73Alex Law, 41Amy Law, 69Sam Law, 65Joanne Law, 63
Connected to:
Abigail M Yu, 43Adeline Y Yu, 40Ai Yu, 64Aimy Yu, 30Aiping A Yu, 71Alisa Yu, 34Allen Yu, 30Angelia W Yu, 74Angelita T Yu, 68Anna Yu, 56

Wei Yu Phones & Addresses

  • Oakland, CA

Resumes

Resumes

Wei Yu Photo 1

Wei Yu Somerset, NJ

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Work:
Pennsylvania State University
Hershey, PA
Feb 2008 to Jun 2014
Postdoctoral Research Fellow
Robert Wood Johnson Medical School, Rutgers University

Jul 2012 to Jul 2012
Research Scientist, Department of Pharmacology
University of California at Berkeley
Berkeley, CA
Jun 2006 to Jan 2008
Postdoctoral Research Fellow, Department of Molecular & Cell Biology
Tokyo Medical and Dental University
Tokyo, JP
Apr 2002 to Mar 2006
Graduate Research Fellow, Department of Molecular Cytogenetics
Education:
Tokyo Medical and Dental University
Tokyo, JP
2006
Ph.D. in Cancer Biology and Genetics
Wei Yu Photo 2

Wei Yu Hershey, PA

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Work:
Laboratory of Division of Colon

Feb 2008 to 2000
Postdoctoral Fellow
Department of Molecular & Cell Biology, University of California at Berkeley
Berkeley, CA
Jun 2006 to Jan 2008
Postdoctoral Fellow
Department of Molecular
Tokyo, JP
Apr 2002 to Mar 2006
Graduate Researcher
Department of Cardiology
Dalian, CN
Sep 1991 to Sep 2001
Medical residency
Education:
Tokyo Medical and Dental University
Tokyo, JP
Jan 2002 to Jan 2006
Ph.D. in Molecular & cell biology, cancer biology & geneyics
The Second Military and Medical University
Sep 1985 to Jul 1991
M.D. in Medicine
Skills:
Cell culture, Isolation of Primary Cell lines, Isolation of DNA/RNA, Protein Purification, PCR, RT-PCR, Real-time PRC, Southern/Northern/western Blots, Cell Based Various Assays, immunoassay, cDNA Clone, Plasmids Construction, siRNA design and study, Transfection, Infection, Generation of stable cell lines, Cell Cycle, Apoptosis, FACS, Signaling Pathway Study, Immunofluorescence, Immunohistochemistry, Fluorescence in situ Hybridization (FISH), Comparative Genomic Hybridization (CGH), Single Nucleotide Polymorphism (SNP) study, cDNA microarray, CGH-Array.

Business Records

Name / Title
Company / Classification
Phones & Addresses
Wei Yu
Principal
Pacific Marketing
Management Consulting Services
57 Longview Dr, Daly City, CA 94015
Wei Guo Yu
President
Amador Seafood Inc
Wei Guo Yu
President
Amador Seafood
Fish and Seafoods · Whol Fish/Seafood
7745 Amador Vly Blvd, Pleasanton, CA 94568
1008 Webster St, Oakland, CA 94607
(925) 828-2028
Wei Hsiang Yu
President
EMPIONEER CORPORATION
Whol Sunglasses
241 S 3 Ave #2, La Puente, CA 91746
241 S 3 Ave, Whittier, CA 91746
39475 Gallaudet Dr, Fremont, CA 94538
(626) 435-0126
Wei Tang Yu
President
TIN FU RESTAURANT, INC
Eating Place
1407 Webster St #204, Oakland, CA 94612
Wei Yu
Director
American Association of Chinese Rehabilitation Physicians
Wei Yu
Principal
YXY LLC
Wei Yu
Manager
Diagnostic Ansers Inc
Wei Yu
Principal
Pacific Marketing
Management Consulting Services
57 Longview Dr, Daly City, CA 94015

Publications

Us Patents

Dynamic Digital Communication System Control

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US Patent:
7158563, Jan 2, 2007
Filed:
Jun 8, 2001
Appl. No.:
09/877724
Inventors:
Georgios Ginis - Stanford CA, US
Wei Yu - Stanford CA, US
Chaohuang Zeng - Palo Alto CA, US
John M. Cioffi - Atherton CA, US
Assignee:
The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
International Classification:
H04B 3/46
US Classification:
375224, 375225, 375285, 375346, 370201, 455295, 455296, 455501, 455 631
Abstract:
Methods, apparatus and systems for dynamically controlling a digital communication system, such as a DSL system, collect information about digital communication lines in the system and adaptively and/or dynamically determine line and signal characteristics of the digital communication lines, including interference effects. Based on the determined characteristics and the desired performance parameters, operation of the digital communication lines is adjusted to improve or otherwise control the performance of the system. The collection and processing of information may be performed by a party that is not a user in the system. This independent party also may control operational characteristics and parameters of the system. The invention can be used to eliminate or reduce signal interference such as crosstalk that can be induced on communication lines in systems such as DSL systems. Specific iterative power allocation and vectored transmission techniques and apparatus are disclosed.

Method And Apparatus For Automated Characterization Of Objects With Unknown Rf Characteristics

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US Patent:
7379829, May 27, 2008
Filed:
Feb 23, 2006
Appl. No.:
11/361911
Inventors:
Baris Dundar - San Pablo CA, US
Raymond Rui-Feng Liao - Pleasanton CA, US
Wei Yu - Albany CA, US
Jaimyoung Kwon - Alameda CA, US
Assignee:
Siemens Aktiengesellschaft - Munich
International Classification:
G06F 19/00
US Classification:
702 57, 702189, 455446, 4554221, 23546246
Abstract:
A method for generating radio frequency (RF) planning modeling data for an object. The method includes placing an RF signal source near the object and sequentially positioning a receiver at a plurality of locations around the object. At each of the locations, an indication is provided to the receiver that it is at a measurement location, and the receiver is allowed to detect a level of the RF signal produced by the RF signal source at the measurement location. In another aspect, an opening in an object is modeled as a virtual object that overlaps with the object and has a “negative attenuation” characteristic to cancel out the “positive attenuation” characteristic of the object.

Method For Detecting Cancer And Method For Suppressing Cancer

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US Patent:
7867709, Jan 11, 2011
Filed:
Mar 21, 2007
Appl. No.:
11/723712
Inventors:
Wei Yu - Berkeley CA, US
Johji Inazawa - Tokyo, JP
Issei Imoto - Tokyo, JP
Assignee:
Fujifilm Corporation - Tokyo
Tokyo Medical and Dental University - Tokyo
International Classification:
C12Q 1/68
US Classification:
435 6
Abstract:
An object of the present invention is to provide a method for detecting cancer through identification of genes exhibiting characteristic behavior in the cases of cancer such as anaplastic thyroid cancer. The present invention provides a method for detecting cancer which comprises detecting canceration of a specimen using the amplification of a gene of the p12 region of chromosome 8 in the specimen as an indicator.

Dynamic Digital Communication System Control

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US Patent:
8081704, Dec 20, 2011
Filed:
Dec 8, 2006
Appl. No.:
11/636316
Inventors:
Georgios Ginis - Stanford CA, US
Wei Yu - Stanford CA, US
Chaohuang Zeng - Palo Alto CA, US
John M. Cioffi - Atherton CA, US
Assignee:
The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
International Classification:
H04B 15/00
US Classification:
375285, 375346, 375224
Abstract:
Methods, apparatus and systems for dynamically controlling a digital communication system, such as a DSL system, collect information about digital communication lines in the system and adaptively and/or dynamically determine line and signal characteristics of the digital communication lines, including interference effects. Based on the determined characteristics and the desired performance parameters, operation of the digital communication lines is adjusted to improve or otherwise control the performance of the system. The collection and processing of information may be performed by a party that is not a user in the system. This independent party also may control operational characteristics and parameters of the system. The invention can be used to eliminated or reduce signal interference such as crosstalk that can be induced on communication lines in systems such as DSL systems. Specific iterative power allocation and vectored transmission techniques and apparatus are disclosed.

Supplementing A Trained Model Using Incremental Data In Making Item Recommendations

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US Patent:
8326777, Dec 4, 2012
Filed:
Jul 31, 2009
Appl. No.:
12/533632
Inventors:
Qiong Zhang - Sunnyvale CA, US
Wei Du - Burbank CA, US
Wei Yu - Davis CA, US
Biswadeep Nag - Fremont CA, US
Jessi Dong - Saratoga CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 15/18
G06N 5/02
US Classification:
706 12
Abstract:
Incremental training data is used to supplement a trained model to provide personalized recommendations for a user. The personalized recommendations can be made by taking into account the user's behavior, such as, without limitation, the user's short and long term web page interactions, to identify item recommendations. A trained model is generated from training data indicative of the web page interaction data collected from a plurality of users. Incremental training data indicative of other web page interaction data can be used to supplement the trained model, or in place of the trained model. Incremental training data can be indicative of user behavior collected more recently than the data used to train the model, for example.

Dynamic Digital Communication System Control

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US Patent:
20120063531, Mar 15, 2012
Filed:
Nov 22, 2011
Appl. No.:
13/302522
Inventors:
Georgios Ginis - Stanford CA, US
Wei Yu - Stanford CA, US
Chaohuang Zeng - Palo Alto CA, US
John M. Cioffi - Atherton CA, US
International Classification:
H04B 15/00
US Classification:
375285
Abstract:
Control of a digital communication system having a plurality of communication lines on which signals are transmitted and received is implemented using a variety of methods and systems. According to one embodiment of the present invention, a method is implemented where the signals are affected by interference during transmission and each of the communication lines has at least one transmitter and at least one receiver. A model is created of the interference characteristics due to the signals carried on the communication lines. Interference characteristics for a line are determined based on the model and actual signals carried on other communication lines different from the line for which the characteristics are being determined. Actual interference is compensated for on the communication line using the determined interference characteristics.

Dynamic Digital Communication System Control

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US Patent:
20120257691, Oct 11, 2012
Filed:
Jun 19, 2012
Appl. No.:
13/527074
Inventors:
Georgios Ginis - Stanford CA, US
Wei Yu - Stanford CA, US
Chaohuang Zeng - Palo Alto CA, US
John M. Cioffi - Atherton CA, US
International Classification:
H04B 15/00
US Classification:
375296
Abstract:
Control of a digital communication system having a plurality of communication lines on which signals are transmitted and received is implemented using a variety of methods and systems. According to one embodiment of the present invention, a method is implemented where the signals are affected by interference during transmission and each of the communication lines has at least one transmitter and at least one receiver. A model is created of the interference characteristics due to the signals carried on the communication lines. Interference characteristics for a line are determined based on the model and actual signals carried on other communication lines different from the line for which the characteristics are being determined. Actual interference is compensated for on the communication line using the determined interference characteristics.

Supplementing A Trained Model Using Incremental Data In Making Item Recommendations

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US Patent:
20130024318, Jan 24, 2013
Filed:
Sep 14, 2012
Appl. No.:
13/618647
Inventors:
Qiong Zhang - Sunnyvale CA, US
Wei Du - Burbank CA, US
Wei Yu - Davis CA, US
Biswadeep Nag - Fremont CA, US
Jessi Dong - Saratoga CA, US
International Classification:
G06Q 30/00
US Classification:
705 267
Abstract:
Incremental training data is used to supplement a trained model to provide personalized recommendations for a user. The personalized recommendations can be made by taking into account the user's behavior, such as, without limitation, the user's short and long term web page interactions, to identify item recommendations. A trained model is generated from training data indicative of the web page interaction data collected from a plurality of users. Incremental training data indicative of other web page interaction data can be used to supplement the trained model, or in place of the trained model. Incremental training data can be indicative of user behavior collected more recently than the data used to train the model, for example.
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Wei Hong Yu from Oakland, CA Get Report