Su Ping Chen from Mountain View, CA, age 79

Distributed Computing Document Recognition And Processing
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US Patent:

6742161, May 25, 2004
Filed:

Mar 7, 2000
Appl. No.:

09/520892
Inventors:

Barnaby James - Los Gatos CA
Su Chen - San Jose CA
Assignee:

ScanSoft, Inc. - Peabody MA
International Classification:

G06F 1721
US Classification:

715500, 715530
Abstract:

The present invention is a system and method for performing document recognition and processing in a distributed computing environment. The invention uses applications which are remotely located from one or more users and may be accessed via a network. One or more users utilize terminals including computers, facsimile machines, and/or scanners to transmit documents to be processed to a network or a network server which in turn transmits the documents to various computer software applications which process the documents at a network processing location. Once the documents have been processed, the processed documents are transmitted to the users according to one or more preferences associated with a user identification and/or authentication which may be determined by either a network server or an application server. Users utilizing a computer terminal make use of various data transfer programs capable of transferring document data over a network to an application server at a remote location and receiving processed document data via a network.

Method And Apparatus Of Data Compression For Computer Networks
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US Patent:

7558290, Jul 7, 2009
Filed:

Dec 16, 2005
Appl. No.:

11/303651
Inventors:

Antonio Nucci - Burlingame CA, US
Su Chen - Somerset NJ, US
Assignee:

Narus, Inc. - Sunnyvale CA
International Classification:

H04J 3/18
US Classification:

370477
Abstract:

An important component of network monitoring is to collect traffic data which is a bottleneck due to large data size. We introduce a new table compression method called “Group Compression” to address this problem. This method uses a small training set to learn the relationship among columns and group them; the result is a “compression plan”. Based on this plan, each group is compressed separately. This method can reduce the compressed size to 60%-70% of the IP flow logs compressed by GZIP.

System And Method For Network Data Compression
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US Patent:

8516157, Aug 20, 2013
Filed:

Apr 20, 2011
Appl. No.:

13/091090
Inventors:

Antonio Nucci - San Jose CA, US
Su Chen - Somerset NJ, US
Assignee:

Narus, Inc. - Sunnyvale CA
International Classification:

G06F 15/16
H04J 3/18
US Classification:

709247, 709246, 370477
Abstract:

The present invention relates to a method of compressing data in a network, the data comprising a plurality of packets each having a header and a payload, the header comprising a plurality of header fields, the method comprising generating a classification tree based on at least a portion of the plurality of header fields, determining a inter-packet compression plan based on the classification tree, and performing inter-packet compression in real time for each payload of at least a first portion of the plurality of packets, the inter-packet compression being performed according to at least a portion of the inter-packet compression plan.

Oxygen-18 Labeled Organic Acids And Use In Diagnosing Metabolic Disorders
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US Patent:

7993931, Aug 9, 2011
Filed:

Oct 28, 2003
Appl. No.:

10/696051
Inventors:

Su Chen - Aliso Viejo CA, US
Assignee:

Quest Diagnostics Investments Incorporated - Wilmington DE
International Classification:

G01N 33/00
US Classification:

436129, 436127, 436173
Abstract:

Provided are methods and compositions for quantitatively measuring the amount of an unlabeled organic acid in a sample. Oxygen-18 labeled organic acids are used as internal standards to adjust for the loss of a structurally similar or identical unlabeled organic acid through processing required for its detection, such as by mass spectrometry. The methods of the invention are useful for diagnosing inborn errors of metabolism in an individual by quantitating signature organic acids in body fluids such as urine or plasma.

System And Method For Network Data Compression
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US Patent:

8046496, Oct 25, 2011
Filed:

Dec 12, 2007
Appl. No.:

11/955259
Inventors:

Antonio Nucci - San Jose CA, US
Su Chen - Sunnyvale CA, US
Assignee:

Narus, Inc. - Sunnyvale CA
International Classification:

G06F 15/16
H04J 3/18
US Classification:

709247, 709246, 370477
Abstract:

The present invention relates to a method of compressing data in a network, the data comprising a plurality of packets each having a header and a payload, the header comprising a plurality of header fields, the method comprising generating a classification tree based on at least a portion of the plurality of header fields, determining a inter-packet compression plan based on the classification tree, and performing inter-packet compression in real time for each payload of at least a first portion of the plurality of packets, the inter-packet compression being performed according to at least a portion of the inter-packet compression plan.

Preparation Of Highly Polyunsaturated Fatty Acid-Containing Phosphatidylserine And Phosphatidic Acid
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US Patent:

20050158835, Jul 21, 2005
Filed:

Jan 21, 2004
Appl. No.:

10/762657
Inventors:

Su Chen - Aliso Viejo CA, US
Hung Kwong - Aliso Viejo CA, US
International Classification:

A61K031/685
C12P007/64
US Classification:

435134000, 514078000, 554078000
Abstract:

Preparation of highly polyunsaturated fatty acid-containing phosphatidylserine and phosphatidic acid by phospholipase D-catalyzed transphosphatidylation of fish liver phosphatidylcholine is disclosed.

Method For Preparation Of Polyunsaturated Fatty Acid-Containing Phosphatidylserine
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US Patent:

20080145902, Jun 19, 2008
Filed:

Feb 15, 2008
Appl. No.:

12/032164
Inventors:

Su Chen - Aliso Viejo CA, US
Hung Kwong - Aliso Viejo CA, US
International Classification:

C07F 9/02
A61K 31/685
C12P 13/00
US Classification:

435128, 514 78, 554 78
Abstract:

A method for the preparation of highly polyunsaturated fatty acid-containing phosphatidylserine and phosphatidic acid by phospholipase D-catalyzed transphosphatidylation of fish liver phosphatidylcholine and L-serine is disclosed.

Generating Depth Images Utilizing A Machine-Learning Model Built From Mixed Digital Image Sources And Multiple Loss Function Sets
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US Patent:

20220284613, Sep 8, 2022
Filed:

Feb 26, 2021
Appl. No.:

17/186436
Inventors:

- San Jose CA, US
Jianming Zhang - Campbell CA, US
Oliver Wang - Seattle WA, US
Simon Niklaus - San Jose CA, US
Mai Long - Portland OR, US
Su Chen - San Jose CA, US
International Classification:

G06T 7/593
G06T 7/30
G06T 7/13
G06T 7/143
G01S 17/894
G01S 17/42
Abstract:

This disclosure describes one or more implementations of a depth prediction system that generates accurate depth images from single input digital images. In one or more implementations, the depth prediction system enforces different sets of loss functions across mix-data sources to generate a multi-branch architecture depth prediction model. For instance, in one or more implementations, the depth prediction model utilizes different data sources having different granularities of ground truth depth data to robustly train a depth prediction model. Further, given the different ground truth depth data granularities from the different data sources, the depth prediction model enforces different combinations of loss functions including an image-level normalized regression loss function and/or a pair-wise normal loss among other loss functions.