Li Chen

Address:

7362 Springfield Blvd, Oakland Gardens, NY 11364

VIN:

JHLRE48767C118132

Make:

HONDA

Model:

CR-V

Year:

2007

US Patent:

8126762, Feb 28, 2012

Filed:

Apr 2, 2008

Appl. No.:

12/061029

Inventors:

Bala Ramachandran - Harrison NY, US
Li Chen - Palo Alto CA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/30

US Classification:

705 728

Abstract:

A stabilization methodology and system component in Business Activity Monitoring and Management systems. This enables firms to use Business Activity Management (BAM) systems to manage business activity by only responding to monitored data when the overall business performance can be improved. This enables firms to identify appropriate tradeoffs between potentially conflicting objectives while meeting business objectives. Information from BAM systems are analyzed based on models of the business process and different information filter criteria are assessed for their impact on business performance indicators. Based on this, a filter criterion is chosen which is executed by an information filter. The outputs from the information filter are used as the basis for deciding the inputs for business process execution.

US Patent:

20050256752, Nov 17, 2005

Filed:

May 12, 2004

Appl. No.:

10/843451

Inventors:

Bala Ramachandran - Harrison NY, US
Li Chen - Palo Alto CA, US

International Classification:

G06F017/60

US Classification:

705007000

Abstract:

A stabilization methodology and system component in Business Activity Monitoring and Management systems. This enables firms to use Business Activity Management (BAM) systems to manage business activity by only responding to monitored data when the overall business performance can be improved. This enables firms to identify appropriate tradeoffs between potentially conflicting objectives while meeting business objectives. Information from BAM systems are analyzed based on models of the business process and different information filter criteria are assessed for their impact on business performance indicators. Based on this, a filter criterion is chosen which is executed by an information filter. The outputs from the information filter are used as the basis for deciding the inputs for business process execution.

US Patent:

20070061210, Mar 15, 2007

Filed:

Sep 11, 2006

Appl. No.:

11/519449

Inventors:

Li Chen - Jersey City NJ, US
Jie Weng - Sunnyvale CA, US
Raymond Blanchard - Morgan Hill CA, US
Baskar Jayaraman - Fremont CA, US
Eric Peters - Aptos CA, US
Suresh Kuppahally - Saratoga CA, US
Calvin Lee - San Francisco CA, US

International Classification:

G06Q 90/00

US Classification:

705022000

Abstract:

Methods and systems for predicting out-of-stock occurrences and for assigning root causes to out-of-stock occurrences are described. In one implementation, inventory data and point of sale data are collected. An expected lost sales value is determined. A true demand is determined based on the point-of-sale data and the expected lost sales value. A probability of an out-of-stock occurrence is determined based on the inventory data. In another implementation, an out-of-stock occurrence is identified. The out-of-stock occurrence is classified, and one or more root causes are assigned to the out-of-stock occurrence.

US Patent:

20220308296, Sep 29, 2022

Filed:

Jun 6, 2022

Appl. No.:

17/833299

Inventors:

- Maynard MA, US
Christopher Doerr - Middletown NJ, US
Li Chen - Marlboro NJ, US

Assignee:

Acacia Communications, Inc. - Maynard MA

International Classification:

G02B 6/42
G02B 6/293
G02B 6/12

Abstract:

An integrated wavelength division multiplexer is described. The integrated wavelength division multiplexer may include a first waveguide core defining a first propagation axis and configured to guide light of a first wavelength and light of a second wavelength, and a second waveguide core defining a second propagation axis and configured to guide the light of the second wavelength. A first portion of the second propagation axis for which the first waveguide core and second waveguide core may be overlapping is oriented at a non-zero angle relative to the first propagation axis. The first waveguide core and second waveguide core may be configured relative to each other to adiabatically couple the light of the second wavelength between the first and second waveguide cores.

US Patent:

20190293881, Sep 26, 2019

Filed:

Jun 14, 2019

Appl. No.:

16/441775

Inventors:

- Maynard MA, US
Christopher Doerr - Middletown NJ, US
Li Chen - Edison NJ, US

Assignee:

Acacia Communications, Inc. - Maynard MA

International Classification:

G02B 6/42
G02B 6/293

Abstract:

An integrated wavelength division multiplexer is described. The integrated wavelength division multiplexer may include a first waveguide core defining a first propagation axis and configured to guide light of a first wavelength and light of a second wavelength, and a second waveguide core defining a second propagation axis and configured to guide the light of the second wavelength. A first portion of the second propagation axis for which the first waveguide core and second waveguide core may be overlapping is oriented at a non-zero angle relative to the first propagation axis. The first waveguide core and second waveguide core may be configured relative to each other to adiabatically couple the light of the second wavelength between the first and second waveguide cores.

US Patent:

20190220605, Jul 18, 2019

Filed:

Mar 22, 2019

Appl. No.:

16/361397

Inventors:

- Santa Clara CA, US
Antonios Papadimitriou - Maplewood NJ, US
Anindya Paul - Hillsboro OR, US
Micah Sheller - Hillsboro OR, US
Li Chen - Hillsboro OR, US
Cory Cornelius - Portland OR, US
Brandon Edwards - Portland OR, US

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

G06F 21/60
G06N 3/04
G06N 3/08

Abstract:

In one example an apparatus comprises a memory and a processor to create, from a first deep neural network (DNN) model, a first plurality of DNN models, generate a first set of adversarial examples that are misclassified by the first plurality of deep neural network (DNN) models, determine a first set of activation path differentials between the first plurality of adversarial examples, generate, from the first set of activation path differentials, at least one composite adversarial example which incorporates at least one intersecting critical path that is shared between at least two adversarial examples in the first set of adversarial examples, and use the at least one composite adversarial example to generate a set of inputs for a subsequent training iteration of the DNN model. Other examples may be described.