Ke E Li, 36San Jose, CA

6620843, Sep 16, 2003

Jan 19, 2001

09/766156

John M. Fidler - Oakland CA
Ke Li - San Jose CA

Pharmagenesis - Palo Alto CA

A61K 3134

514473, 514 23, 514 53, 514 54, 5142328, 51425411, 514321, 514338, 514414, 514415, 514422, 514427, 514428, 514461, 514468, 514475, 514908

Water soluble triptolide prodrugs are used as anticancer agents, and are found to be more effective in vivo, at lower doses, in reducing tumor size than the widely used chemotherapeutic agents 5-fluorouracil and irinotecan.

2022024, Aug 4, 2022

Apr 22, 2022

17/727011

- San Mateo CA, US
Ke Li - San Jose CA, US
Erich Tisch - San Francisco CA, US
Joyce Rosenbaum - Mountain View CA, US
Magnus Hansson - Los Altos CA, US

H04N 5/225
G03B 17/08
H04R 29/00
H04R 3/00
H04R 5/04
H04R 1/44

A camera includes a first microphone, a second microphone, one or more drains, and a processor. The processor determines a correlation metric between portions of audio signals obtained from the first and second microphones. The one or more drains drain water away from the first microphone, the second microphone, or both. The camera includes a memory to store the portions of the audio signals as portions of an output audio signal.

2022021, Jul 7, 2022

Aug 21, 2018

16/475325

- Mountain View CA, US
Sharon Harris - Mountain View CA, US
Jonas Alon Naimark - Mountain View CA, US
Ke Li - Mountain View CA, US
Ariel Benjamin Sachter-Zeltzer - Mountain View CA, US

G06F 8/38
G06T 13/80
H04L 67/04

Techniques are described for determining a duration for a transition and alteration of the appearance of a user interface (UI) from a first UI state to a second UI state over the transition duration according to a timing function that specifies different rates of change in appearance over the course of the transition and is derived by adjusting a master timing function that is used to control a plurality of transitions in the UI to span the transition duration for the transition. A time value of an inflection point within the timing function is determined and the transition duration is divided into a first portion and a second portion so that the first portion extends from the beginning of the transition duration to the time value of the inflection point, and the second portion extends from the time value of the inflection point to the end of the transition duration.

2023005, Feb 23, 2023

Aug 19, 2021

17/406088

Ke Li - San Jose CA, US

A61B 5/022
A61B 5/021

A method of cuff storage case for an electronic blood pressure monitor includes an electronic blood pressure monitor main part, cuff, and a cuff storage case. one end of the air tube connects to a side of the electronic blood pressure monitor main part, and the other end of the air tube connects to a cuff. When the electronic blood pressure monitor main part is not in use, the cuff can place inside the cuff storage case. The Cuff storage case connects to the electronic blood pressure monitor main part through the connecting element. The structure of this invention is reasonable. The cuff storage case fixes on the electronic blood pressure monitor main part through the connecting element and will not restrict the models and shapes of the electronic blood pressure monitor. It can apply to most kinds of electronic blood pressure monitors.

2021025, Aug 12, 2021

Apr 30, 2021

17/245517

- San Mateo CA, US
Joyce Rosenbaum - Mountain View CA, US
Magnus Hansson - Los Altos CA, US
Ke Li - San Jose CA, US
David Wurtz - Santa Clara CA, US

H04R 29/00
G06F 3/16
H04R 1/08
H04R 3/00
H04R 5/027

An audio capture device selects between multiple microphones to generate an output audio signal depending on detected conditions. The audio capture device determines whether one or more microphones are wet or dry and selects one or more audio signals from the one or more microphones depending on their respective conditions. The audio capture device generates a mono audio output signal or a stereo output signal depending on the respective conditions of the one or more microphones.

2019013, May 2, 2019

Jul 26, 2018

16/045977

- San Jose CA, US
IGNACIO ARNALDO - San Jose CA, US
ANKIT ARUN - San Jose CA, US
KE LI - San Jose CA, US
COSTAS BASSIAS - San Jose CA, US

H04L 29/06
G06N 7/00
G06N 3/08
G06N 20/00

Disclosed is a method and system for detecting malicious entities and malicious behavior in a time evolving network via a graph framework by modeling activity in a network graph representing associations between entities. The system utilizes classification methods to give score predictions indicative of a degree of suspected maliciousness, and presents a unified graph inference method for surfacing previously undetected malicious entities that utilizes both the structure and behavioral features to detect malicious entities.

2018008, Mar 22, 2018

Sep 29, 2017

15/721192

- San Mateo CA, US
Joyce Rosenbaum - Mountain View CA, US
Magnus Hansson - Los Altos CA, US
Ke Li - San Jose CA, US
David Wurtz - Santa Clara CA, US

H04R 29/00
H04R 3/00
H04R 1/08

An audio capture device selects between multiple microphones to generate an output audio signal depending on detected conditions. When the presence of wind noise or other uncorrelated noise is detected, the audio capture device selects, for each of a plurality of different frequency sub-bands, an audio signal having the lowest noise and combines the selected frequency sub-bands signals to generate an output audio signal. When wind noise or other uncorrelated noise is not detected, the audio capture device determines whether each of a plurality of microphones are wet or dry and selects one or more audio signals from the microphones depending on their respective conditions.

2017016, Jun 15, 2017

Dec 16, 2016

15/382413

- San Jose CA, US
Vamsi Korrapati - San Jose CA, US
Constantinos Bassias - San Jose CA, US
Ignacio Arnaldo - San Jose CA, US
Ke Li - San Jose CA, US

G06N 99/00
G06F 21/56

Disclosed herein are a method and system for training a big data machine to defend, retrieve log lines belonging to log line parameters of a system's data source and from incoming data traffic, compute features from the log lines, apply an adaptive rules model with identified threat labels produce a features matrix, identify statistical outliers from execution of statistical outlier detection methods, and may generate an outlier scores matrix. Embodiments may combine a top scores model and a probability model to create a single top scores vector. The single top scores vector and the adaptive rules model may be displayed on a GUI for labeling of malicious or non-malicious scores. Labeled output may be transformed into a labeled features matrix to create a supervised learning module for detecting new threats in real time and reducing the time elapsed between threat detection of the enterprise or e-commerce system.