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Wei Tang Lu

from San Francisco, CA
Age ~84

Wei Lu Phones & Addresses

  • 10 King St APT 219, San Francisco, CA 94107 (415) 846-4328

Professional Records

Medicine Doctors

Wei Lu Photo 1

Wei X. Lu

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Specialties:
Nephrology, Internal Medicine
Work:
Metro Renal AssociatesMetro Renal Associates LLC
821 N Eutaw St STE 407, Baltimore, MD 21201
(410) 439-1332 (phone), (410) 439-1335 (fax)

DaVita Downtown Dialysis Center
821 N Eutaw St STE 401, Baltimore, MD 21201
(410) 383-3450 (phone), (410) 383-3468 (fax)
Education:
Medical School
Shanghai Med Univ, Shanghai First Med Univ, Shanghai, China
Graduated: 1991
Procedures:
Dialysis Procedures
Conditions:
Chronic Renal Disease
Disorders of Lipoid Metabolism
Hypertension (HTN)
Languages:
English
Description:
Dr. Lu graduated from the Shanghai Med Univ, Shanghai First Med Univ, Shanghai, China in 1991. She works in Baltimore, MD and 1 other location and specializes in Nephrology and Internal Medicine. Dr. Lu is affiliated with Medstar Union Memorial Hospital, Mercy Medical Center and University Of Maryland Medical Center.
Wei Lu Photo 2

Wei Lu, Danville CA - LAC

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Specialties:
Acupuncture
Address:
790 San Ramon Valley Blvd Suite 225, Danville, CA 94526
(925) 855-1885 (Phone), (925) 855-1885 (Fax)
Languages:
English
Wei Lu Photo 3

Wei Lu, Danville CA

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Specialties:
Acupuncturist
Address:
790 San Ramon Valley Blvd, Danville, CA 94526

Lawyers & Attorneys

Wei Lu Photo 4

Wei Lu - Lawyer

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Specialties:
International Trade
Commercial Law
Business Law
Immigration Law
ISLN:
911506073
Admitted:
1983
University:
Oregon State University, B.S., 1968; Oregon State University, M.B.A., 1972
Law School:
Western State University, J.D., 1982
Wei Lu Photo 5

Wei Lu - Lawyer

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Specialties:
Intellectual Property Law
ISLN:
922651428
Admitted:
2014
University:
Santa Clara Univ SOL, Santa Clara, CA; Univ of Texas, Austin, TX
Law School:
Santa Clara University School of Law, JD - Juris Doctor, 2013

License Records

Wei Lu

Address:
845 Market St, San Francisco, CA 94103
License #:
A5261410
Category:
Airmen

Business Records

Name / Title
Company / Classification
Phones & Addresses
Wei Kun Lu
President
Velvety Hands
1645 Webster St, San Francisco, CA 94115
Wei Lu
Managing
Cheng Du LLC

Publications

Us Patents

Methods And Apparatus For Cleaning A Substrate

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US Patent:
20070234951, Oct 11, 2007
Filed:
Mar 23, 2007
Appl. No.:
11/690621
Inventors:
WEI LU - Fremont CA, US
Jianshe Tang - San Jose CA, US
Alexander Ko - Santa Clara CA, US
Nelson Yee - Redwood City CA, US
Bo Xie - Sunnyvale CA, US
John Lee - San Jose CA, US
Richard Endo - San Carlos CA, US
International Classification:
B05C 5/00
US Classification:
118300000, 134172000
Abstract:
The present invention provides methods, apparatus, and systems for cleaning a substrate that include a controller and a nozzle coupled to the controller. The controller is adapted to direct the nozzle to dispense a uniform fluid spray pattern onto a substrate. The controller is adapted create the uniform fluid spray pattern by adjusting at least one operational parameter of the nozzle to cause a predefined percentage of droplets to be within a predetermined size range. Numerous other aspects are disclosed.

Methods And Apparatus For Cleaning A Substrate

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US Patent:
20070246081, Oct 25, 2007
Filed:
Mar 23, 2007
Appl. No.:
11/690628
Inventors:
Wei Lu - Fremont CA, US
Jianshe Tang - San Jose CA, US
Alexander Ko - Santa Clara CA, US
Nelson Yee - Redwood City CA, US
Bo Xie - Sunnyvale CA, US
John Lee - San Jose CA, US
Rick Endo - San Carlos CA, US
International Classification:
B08B 3/00
B08B 7/00
US Classification:
134033000, 134034000, 134026000
Abstract:
The present invention provides methods, apparatus, and systems for cleaning a substrate that include a controller and a nozzle coupled to the controller. The controller is adapted to direct the nozzle to dispense a uniform fluid spray pattern onto a substrate. The controller is adapted create the uniform fluid spray pattern by adjusting at least one operational parameter of the nozzle to cause a predefined percentage of droplets to be within a predetermined size range. Numerous other aspects are disclosed.

Autonomous Vehicle Seat Reservation

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US Patent:
20220269998, Aug 25, 2022
Filed:
Feb 22, 2021
Appl. No.:
17/180975
Inventors:
- San Francisco CA, US
Wei Lu - San Bruno CA, US
Devina Jain - San Francisco CA, US
Kunal Mehta - San Francisco CA, US
Nikola John Linn Noxon - San Francisco CA, US
International Classification:
G06Q 10/02
B60W 50/14
B60W 60/00
G06Q 50/30
Abstract:
Various technologies described herein pertain to reserving seats in an autonomous vehicle. The autonomous vehicle includes a plurality of seats that can be occupied by passengers when riding in the autonomous vehicle. The autonomous vehicle is configured to assign a particular seat from the plurality of seats in the autonomous vehicle to a passenger based on information pertaining to the passenger and information pertaining to a ride-sharing trip. The autonomous vehicle is to transport at least the passenger and a differing passenger during at least a portion of the ride-sharing trip. Moreover, the passenger and the differing passenger independently request rides in the autonomous vehicle. The autonomous vehicle is further configured to output, to the passenger, an indication of the particular seat assigned to the passenger.

Updating A Pick-Up Or Drop-Off Location For A Passenger Of An Autonomous Vehicle

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US Patent:
20220252409, Aug 11, 2022
Filed:
Feb 9, 2021
Appl. No.:
17/171390
Inventors:
- San Francisco CA, US
Wei Lu - San Bruno CA, US
Devina Jain - San Francisco CA, US
Kunal Mehta - San Francisco CA, US
Nikola John Linn Noxon - San Francisco CA, US
International Classification:
G01C 21/34
Abstract:
An autonomous vehicle (AV) described herein is configured to receive a pull over location specified by a passenger, and is further configured to refine the pull over location based upon one or more factors, where the factors include computer-readable content from a profile of the passenger, sensor data output by sensor systems of the AV, observed or predicted weather conditions, observed or predicted traffic, and/or observations recently generated by other AVs that belong to the same fleet as the AV.

Steam-Assisted Single Substrate Cleaning Process And Apparatus

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US Patent:
20220216074, Jul 7, 2022
Filed:
Jan 5, 2021
Appl. No.:
17/141622
Inventors:
- Santa Clara CA, US
Wei LU - Fremont CA, US
Haosheng WU - Santa Clara CA, US
Taketo SEKINE - Santa Clara CA, US
Hari N. SOUNDARARAJAN - Sunnyvale CA, US
Chad POLLARD - San Jose CA, US
International Classification:
H01L 21/67
H01L 21/02
B08B 3/02
B08B 3/08
B08B 5/02
B08B 3/12
H01L 21/306
Abstract:
The present disclosure relates to a method and apparatus for cleaning a substrate. The method includes rotating a substrate disposed on a substrate support and spraying a front side of the substrate using steam through a front side nozzle assembly. A back side of the substrate is sprayed using steam through a back side dispenser assembly. A heated chemical is dispensed over the front side of the substrate.

Measurement Recipe Optimization Based On Probabilistic Domain Knowledge And Physical Realization

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US Patent:
20210165398, Jun 3, 2021
Filed:
Oct 7, 2020
Appl. No.:
17/065021
Inventors:
- Milpitas CA, US
Wei Lu - Fremont CA, US
Dzmitry Sanko - Vallejo CA, US
International Classification:
G05B 19/418
G06F 30/367
G06T 7/00
Abstract:
Methods and systems for training and implementing metrology recipes based on performance metrics employed to quantitatively characterize the measurement performance of a metrology system in a particular measurement application. Performance metrics are employed to regularize the optimization process employed during measurement model training, model-based regression, or both. For example, the known distributions associated with important measurement performance metrics such as measurement precision, wafer mean, etc., are specifically employed to regularize the optimization that drives measurement model training. In a further aspect, a trained measurement model is employed to estimate values of parameters of interest based on measurements of structures having unknown values of one or more parameters of interest. In a further aspect, trained measurement model performance is validated with test data using error budget analysis. In another aspect, a model-based regression on a measurement model is physically regularized by on one or more measurement performance metrics.

Generalized Nonlinear Mixed Effect Models Via Gaussian Processes

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US Patent:
20200380407, Dec 3, 2020
Filed:
Jun 3, 2019
Appl. No.:
16/430243
Inventors:
- Redmond WA, US
Kinjal Basu - Stanford CA, US
Wei Lu - San Jose CA, US
Souvik Ghosh - Saratoga CA, US
Mansi Gupta - Pittsburgh PA, US
International Classification:
G06N 20/00
G06N 7/00
Abstract:
In an example embodiment, training data is obtained, the training data comprising values for a plurality of different features. Then a global machine learned model is trained using a first machine learning algorithm by feeding the training data into the first machine learning algorithm during a fixed effect training process. A non-linear first random effects machine learned model is trained by feeding a subset of the training data into a second machine learning algorithm, the subset of the training data being limited to training data corresponding to a particular value of one of the plurality of different features.

User State Predictions For Presenting Information

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US Patent:
20180197099, Jul 12, 2018
Filed:
Jan 11, 2017
Appl. No.:
15/403958
Inventors:
- Mountain View CA, US
Carsten Steinebach - El Cerrito CA, US
Wei Lwun Lu - Mountain View CA, US
James Kunz - Los Altos CA, US
Yew Jin Lim - Saratoga CA, US
International Classification:
G06N 7/00
H04L 29/08
G06N 99/00
Abstract:
A computing device is described that determines, based on a state of a user, an initial user-interaction metric for information to be presented to the user and predicts, using a machine-learning model, a plurality of future states of the user. Each future state is associated with a respective user-interaction metric for the information. The device determines whether the initial user-interaction metric for the information is greater than or equal to the respective user-interaction metric of each of the future states and outputs an indication of the information if the initial user-interaction metric is greater than or equal to the respective user-interaction metric of each of the future states. However, if the initial user-interaction metric for the information is less than the respective user-interaction metric of any of the future states, the device refrains from outputting the indication of the information.

Isbn (Books And Publications)

Cell Activation And Apoptosis in HIV Infection: Implications for Pathogenesis and Therapy

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Author

Wei Lu

ISBN #

0306450631

ICO20: Materials and Nanostructures 21-26 August, 2005, Changchun, China

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Author

Wei Lu

ISBN #

0819460605

Wei Tang Lu from San Francisco, CA, age ~84 Get Report