Jie F Fang

US Patent:

20220375715, Nov 24, 2022

Filed:

Oct 21, 2020

Appl. No.:

17/771761

Inventors:

- Veldhoven, NL
Ning YE - San Jose CA, US
Yixiang WANG - Fremont CA, US
Jie FANG - San Jose CA, US

Assignee:

ASML NETHERLANDS B.V. - Veldhoven

International Classification:

H01J 37/22
H01J 37/28

Abstract:

An apparatus for and a method of inspecting a substrate in which a charged particle beam is arranged to impinge on a portion of the substrate and a first light beam having a first wavelength and a second light beam having a second wavelength different from the first wavelength are also arranged to impinge on the portion of the substrate.

US Patent:

20220331658, Oct 20, 2022

Filed:

Apr 16, 2021

Appl. No.:

17/233246

Inventors:

- San Francisco CA, US
Jess Venticinque - Woodside CA, US
Louis Gutierrez - San Antonio TX, US
Charles Edouard Gibbons - San Francisco CA, US
Jie Fang - Sunnyvale CA, US

International Classification:

A63B 24/00
A63B 71/06
G06N 20/00

Abstract:

An exercise recommendation system determines recommended weights for users to perform exercises with. The exercise recommendation system accesses a plurality of exercise pairs, each labeled with performance statistics of users who performed the exercises. Each exercise in an exercise pair is associated with a weight. The exercise recommendation system trains a machine learning model on the plurality of exercise pairs to determine a weight to recommend to a user for a first exercise based on performance statistics of the user associated with one or more second exercises, which are each in an exercise pair with the first exercise. The exercise recommendation system retrieves performance statistics of a target user including weights for exercises previously performed by the target user. The exercise recommendation system applies the machine learning model to the performance statistics to determine a target weight to recommend and modifies a user interface to include the target weight.

US Patent:

20220331659, Oct 20, 2022

Filed:

Apr 16, 2021

Appl. No.:

17/233254

Inventors:

- San Francisco CA, US
Jess Venticinque - Woodside CA, US
Louis Gutierrez - San Antonio TX, US
Charles Edouard Gibbons - San Francisco CA, US
Jie Fang - Sunnyvale CA, US
Yihui Liu - Seattle WA, US

International Classification:

A63B 24/00

Abstract:

An exercise recommendation system determines a current capability of a user. The exercise recommendation system accesses an exercise history for a user. The exercise history comprises an exercise performed by the user and a capability of the user each time the user performed the exercise. The exercise recommendation system partitions the exercise history into a plurality of time periods, and, for each time period, computes an aggregate capability of the user for the exercise during the time period. The exercise recommendation system calculates a moving average capability of the user for the exercise based on the aggregate capabilities and determines a current capability of the user for the exercise based on the moving average capability. The current capability of the user may be discounted at least in part based on how recently the user performed the exercise.

US Patent:

20180009331, Jan 11, 2018

Filed:

Oct 3, 2016

Appl. No.:

15/283953

Inventors:

- San Jose CA, US
Jie FANG - San Jose CA, US
Wenpeng ZHAO - San Jose CA, US
Yaping JIANG - San Jose CA, US
Xiaojia DENG - San Jose CA, US

Assignee:

NextEV USA, INc. - San Jose CA

International Classification:

B60L 11/18
H02J 7/00
B60K 1/04
H01M 10/48
H01M 10/44
H01M 10/42
H02P 4/00
H01M 2/10

Abstract:

A battery for a vehicle having a fixed battery pack and a replaceable battery pack. The replaceable battery pack has electronic or mechanical locks to semi-temporarily hold the replaceable battery pack in place. The fixed battery pack is held in place via permanent or semi-permanent fasteners such as bolts. A battery controller controls the replaceable battery pack to power motors of the vehicle before controlling the fixed battery pack to power motors of the vehicle.

US Patent:

20180010919, Jan 11, 2018

Filed:

Oct 4, 2016

Appl. No.:

15/284754

Inventors:

- San Jose CA, US
Jie FANG - San Jose CA, US
Wenpeng ZHAO - San Jose CA, US
Yaping JIANG - San Jose CA, US
Xiaojia DENG - San Jose CA, US

Assignee:

NextEV USA, Inc. - San Jose CA

International Classification:

G01C 21/34
H01M 10/42
B60L 11/18
H01M 10/48
H01M 2/10

Abstract:

A system and method for monitoring the health of smart battery packs in an electric vehicle and determining when one or more of the smart battery packs needs to be replaced. In addition, the system and method locate optimal smart battery packs to exchange with the one or more battery packs that need to be replaced.