Jun Li

6404927, Jun 11, 2002

Mar 15, 1999

09/268277

Jun Li - Fremont CA
Iskender Agi - San Mateo CA

Exar Corporation - Fremont CA

G06K 936

382232, 382245, 358539

A simple, cost-effective compression circuit which compress raw color data without interpolation. Control points common to all the colors in a line are generated each time one of the colors exceeds the color change threshold. The change in the other color is recorded at the same time even though it doesnt exceed the minimum change threshold.

6567797, May 20, 2003

Oct 19, 1999

09/425038

Hinrich Schuetze - San Francisco CA
James E. Pitkow - Palo Alto CA
Peter L. Pirolli - San Francisco CA
Ed H. Chi - Palo Alto CA
Jun Li - Seattle WA

Xerox Corporation - Stamford CT

G06F 700

707 2, 707 3, 707 4, 707 5, 707 10, 709203

A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.

6548995, Apr 15, 2003

Jan 17, 2002

10/052278

Jun Li - Foster City CA

Silicon Storage Technology, Inc. - Sunnyvale CA

G05F 316

323314, 327537, 327543

A high speed bias voltage generating circuit for use with semiconductor devices. The bias voltage generating circuit includes three circuits or circuit portions and which cooperatively control the output voltage and current of the circuit. The standby circuit is active during a standby mode. The standby circuit provides. a stable standby voltage Vout for the circuit , and generates substantially no current in standby mode. The bias circuit is active during a bias mode and provides a stable bias voltage Vout for the circuit. The boost circuit is active during the transition from standby mode to bias mode, and is effective to quickly lower or âpull downâ the output voltage from Vout to Vout.

6564202, May 13, 2003

Oct 19, 1999

09/421419

Hinrich Schuetze - San Francisco CA
Peter L. Pirolli - San Francisco CA
James E. Pitkow - Palo Alto CA
Ed H. Chi - Palo Alto CA
Jun Li - Seattle WA

Xerox Corporation - Stamford CT

G06F 1730

707 2

A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.

6598054, Jul 22, 2003

Oct 19, 1999

09/425039

Hinrich Schuetze - San Francisco CA
Peter L. Pirolli - San Francisco CA
James E. Pitkow - Palo Alto CA
Ed H. Chi - Palo Alto CA
Jun Li - Seattle WA

Xerox Corporation - Stamford CT

G06F 1700

707103R, 7071041, 345650, 345700

A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.

6861103, Mar 1, 2005

Feb 7, 2003

10/360443

Ying Chih Chang - Atherton CA, US
Jun Li - Irvine CA, US
Xiaoru Chen - San Diego CA, US

The Regents of the University of California - Oakland CA

C08F002/46

427522, 526220, 5263031, 526304, 5263171, 526346, 42725511, 42725514, 427487, 427593

Nitroxide mediated free radical polymerization of vaporized vinyl monomers, including acrylic acid (AAc), styrene (St), N-2-(hydroxypropyl)methacrylamide (HPMA) and N-isopropyl acrylamide (NIPAAm), on silicon wafers is demonstrated. FTIR, ellipsometry and contact angle goniometry were used to characterize the chemical structures, thickness and hydrophilicity of the films. The growth of film is linearly proportional to its reaction time, leading to the easy and exact control of polymer film thickness from nanometers to submicrons. The capability of polymerizing various monomers allows us to fabricate various functional polymer brushes. The reversible thermo-responsiveness of a 200 nm thick grafted poly(NIPAAm) film in aqueous solution is demonstrated with over 50% change in thickness at its lower critical solution temperature. A tri-block copolymer of poly(AAc)-b-polySt-b-poly(HPMA) is successfully synthesized, proving the renewability of TEMPO-mediated polymerization at vapor phase. Surface polymer composition and morphology is thus controlled at nanoscale by utilizing vapor phase surface-initiated controlled polymerization.

6922699, Jul 26, 2005

Oct 19, 1999

09/421416

Hinrich Schuetze - San Francisco CA, US
Francine R. Chen - Menlo Park CA, US
Peter L. Pirolli - San Francisco CA, US
James E. Pitkow - Palo Alto CA, US
Ed H. Chi - Palo Alto CA, US
Jun Li - Seattle WA, US
Ullas Gargi - Mountain View CA, US

Xerox Corporation - Stamford CT

G06F017/30

707103R, 707 3, 707 10, 7071041, 709203, 715513

A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users' prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.

6941321, Sep 6, 2005

Oct 19, 1999

09/421767

Hinrich Schuetze - San Francisco CA, US
Francine R. Chen - Menlo Park CA, US
Peter L. Pirolli - San Francisco CA, US
James E. Pitkow - Palo Alto CA, US
Ed H. Chi - Palo Alto CA, US
Jun Li - Seattle WA, US

Xerox Corporation - Stamford CT

G06F017/30

707103R, 707 10, 7071041, 709203, 715513

A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users' prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.