Zhi G Chen

US Patent:

7838524, Nov 23, 2010

Filed:

May 2, 2005

Appl. No.:

11/579093

Inventors:

Wendy Lee - South San Francisco CA, US
Gaetan Ladouceur - Guilford CT, US
Jacques Dumas - Waltham MA, US
Roger Smith - Madison CT, US
Shihong Ying - Orange CT, US
Gan Wang - Wallingord CT, US
Zhi Chen - Lyndhurst NJ, US
Qingjie Liu - Orange CT, US
Holia Hatoum Mokdad - Guilford CT, US

Assignee:

Bayer Healthcare LLC - Tarrytown NY

International Classification:

A61K 31/4439
A61K 31/5377
A61K 31/497
A61K 31/454
C07D 401/14
C07D 413/14

US Classification:

5142358, 514341, 514326, 51425301, 5462754, 546194, 5462727, 544124, 544360

Abstract:

The present invention relates to compounds of formula (I), pharmaceutical compositions which contain them and methods for treating cancer using compounds of formula (I).

US Patent:

8207166, Jun 26, 2012

Filed:

Nov 8, 2010

Appl. No.:

12/941841

Inventors:

Wendy Lee - South San Francisco CA, US
Gaetan Ladouceur - Guilford CT, US
Jacques Dumas - Waltham MA, US
Roger Smith - Madison CT, US
Shihong Ying - Orange CT, US
Gan Wang - Wallingford CT, US
Zhi Chen - Lyndhurst NJ, US
Qingjie Liu - Orange CT, US
Holia Mokdad - Guilford CT, US

Assignee:

Bayer Healthcare LLC - Tarrytown NY

International Classification:

A61K 31/5377
A61K 31/4439
A61K 31/454
A61K 31/497

US Classification:

5142358, 51425301, 514326, 514341, 546194, 5462727, 5462754, 544124, 544360

Abstract:

The present invention relates to compounds of formula (I), pharmaceutical compositions which contain them and methods for treating cancer using compounds of formula (I).

US Patent:

20210158131, May 27, 2021

Filed:

Nov 27, 2019

Appl. No.:

16/698236

Inventors:

- Seattle WA, US
Yizhi Liu - Fremont CA, US
Hongbin Zheng - San Jose CA, US
Jeffrey T. Huynh - San Jose CA, US
Haichen Li - Campbell CA, US
Drazen Borkovic - Los Altos CA, US
Jindrich Zejda - Saratoga CA, US
Richard John Heaton - San Jose CA, US
Randy Renfu Huang - Morgan Hill CA, US
Zhi Chen - Santa Clara CA, US
Yida Wang - Palo Alto CA, US

International Classification:

G06N 3/063
G06N 3/04

Abstract:

Methods and apparatuses for hierarchical partitioning of operators of a neural network for execution on an acceleration engine are provided. Neural networks are built in machine learning frameworks using neural network operators. The neural network operators are compiled into executable code for the acceleration engine. Development of new framework-level operators can exceed the capability to map the newly developed framework-level operators onto the acceleration engine. To enable neural networks to be executed on an acceleration engine, hierarchical partitioning can be used to partition the operators of the neural network. The hierarchical partitioning can identify operators that are supported by a compiler for execution on the acceleration engine, operators to be compiled for execution on a host processor, and operators to be executed on the machine learning framework.