Illinois Neurological Institute 200 E Pennsylvania Ave STE 101, Peoria, IL 61603 3096244000 (phone), 3096244010 (fax)
Procedures:
Physical Therapy Physical Therapy Evaluation
Languages:
English Spanish
Description:
Dr. Zhou works in Peoria, IL and specializes in Physical Medicine & Rehabilitation. Dr. Zhou is affiliated with OSF Saint Francis Medical Center and Unitypoint Health Proctor Hospital.
Us Patents
Apparatus And Method For Improved Pc Audio Quality
Jian Zhou - San Jose CA, US Jianxin Liu - Mountain View CA, US Zhengran Li - Campbell CA, US
Assignee:
Zoran Corporation - Sunnyvale CA
International Classification:
G06F 17/00 H03F 5/00
US Classification:
700 94, 381103
Abstract:
A computer readable memory to direct a computer to improve the perceived audio quality of a speaker included in that computer. The computer readable memory stores a first, second and third set of instructions. The first set of instructions causes the computer to determine the speaker type. The second set of instructions causes the computer to select a set of default filter coefficients for a digital filter based upon the speaker type. Finally, the third set of instructions causes the computer to realize a digital parametric equalizer using a digital filter and the set of default filter coefficients. Thus, the digital filter alters the audio signal that is input to the speaker, thereby improving the perceived quality of the speaker.
Method For Automatic De-Skewing Of Multiple Layer Wafer For Improved Pattern Recognition
Jian Zhou - San Jose CA, US Hua Chu - Saratoga CA, US
Assignee:
Nanometrics Incorporated - Milpitas CA
International Classification:
G06K 9/00 G06K 9/36
US Classification:
382151, 382144, 382287, 382289
Abstract:
A method for processing wafers includes learning a first pattern at a de-skew site on a first wafer layer, saving the first patterns in a recipe for de-skewing wafers, learning a second pattern at the de-skew site a second wafer layer, and saving the second pattern in the same recipe for de-skewing wafers. Learning the first pattern may include determining a score of uniqueness for the first pattern. The method further includes finding the de-skew site on the second wafer layer using the first pattern before learning the second pattern. Finding the de-skew site includes determining a score of similarity between the first pattern and the second pattern. Learning the second pattern is performed when the score of similarity is less than a threshold value. A recipe for de-skewing wafers includes multiple patterns of a de-skew site of a wafer, wherein the patterns include a first pattern at the de-skew site on a first wafer layer and a second pattern at the de-skew site on a second wafer layer.
Video Coding Apparatus And Method For Supporting Arbitrary-Sized Regions-Of-Interest
Jian Zhou - Fremont CA, US Jizhang Shan - Cupertino CA, US
Assignee:
OmniVision Technologies, Inc. - Santa Clara CA
International Classification:
H04N 11/04
US Classification:
37524024, 37524027, 37524028
Abstract:
A computer readable storage medium has executable instructions to select a plurality of macroblocks in a video sequence to be coded as anchor macroblocks, the anchor macroblocks distributed across the video sequence and facilitating random access decoding of a portion of the video sequence. The video sequence is coded into a bit stream. Auxiliary information associated with the anchor macroblocks is generated. The auxiliary information associated with the anchor macroblocks is inserted in a supplementary section of the bit stream.
Anshul Kothari - Sunnyvale CA, US Surojit Chatterjee - Fremont CA, US Chen Chen - Sunnyvale CA, US Jian Zhou - Milpitas CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06Q 30/00
US Classification:
705 141
Abstract:
This specification relates to tracking phone calls related to online content items. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of determining a probability that a call to a phone number resulted from a first interaction of a set of interactions. In general, another aspect of the subject matter described in this specification can be embodied in methods that include the actions of determining a rank score for an online content item, including for each call of a plurality of phone calls to the phone number, attributing the call to an online content interaction of a set of online content interactions; determining, using the rank score, whether to provide the online content item to a client device; and providing the online content item to the client device upon determining to do so using the rank score.
Method For Automatically De-Skewing Of Multiple Layer Wafer For Improved Pattern Recognition
Jian Zhou - San Jose CA, US Hua Chu - Saratoga CA, US
Assignee:
Nanometrics Incorporated - Milpitas CA
International Classification:
G06K 9/00 G06K 9/36
US Classification:
382151, 382144, 382145
Abstract:
A method for processing wafers includes learning a first pattern at a de-skew site on a first wafer layer, saving the first patterns in a recipe for de-skewing wafers, learning a second pattern at the de-skew site a second wafer layer, and saving the second pattern in the same recipe for de-skewing wafers. Learning the first pattern may include determining a score of uniqueness for the first pattern. The method further includes finding the de-skew site on the second wafer layer using the first pattern before learning the second pattern. Finding the de-skew site includes determining a score of similarity between the first pattern and the second pattern. Learning the second pattern is performed when the score of similarity is less than a threshold value. A recipe for de-skewing wafers includes multiple patterns of a de-skew site of a wafer, wherein the patterns include a first pattern at the de-skew site on a first wafer layer and a second pattern at the de-skew site on a second wafer layer.
Apparatus And Method For High Quality Intra Mode Prediction In A Video Coder
A computer readable storage medium has executable instructions to select a plurality of blocks in a video sequence to be coded as intra-coded blocks. Aggregate intra prediction costs are computed for each intra-coded block relative to a corresponding previous intra-coded block. An intra prediction mode is selected for each intra-coded block based on the aggregate intra prediction costs.
Apparatus And Method For Computationally Efficient Intra Prediction In A Video Coder
A computer readable storage medium has executable instructions to select a plurality of blocks in a video sequence to be coded as intra-coded blocks. Intra prediction modes are selected for all intra-coded blocks in a macroblock based on original pixels of neighboring blocks. The mode selection of all intra-coded blocks can be conducted in parallel. The intra-coded blocks in the macroblock are predicted with the selected intra prediction modes based on reconstructed pixels of neighboring blocks.
Jian Zhou - Milpitas CA, US Anshul Kothari - Sunnyvale CA, US Subhadip Sarkar - Sunnyvale CA, US Theodore B. Van Belle - Santa Clara CA, US Surojit Chatterjee - Fremont CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707740, 707E17089
Abstract:
This specification describes technologies relating to content presentation. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving data from a plurality of users within a geographic region associated with a location; analyzing the received data to derive a category for the location; annotating the location with the category; and using the category to boost candidate content items for delivery to users in the location in response to future content item requests.
Name / Title
Company / Classification
Phones & Addresses
Jian Xiong Zhou
A-1 Realty Real Estate Agents and Managers
2420 San Bruno Ave, San Francisco, CA 94134
Jian Wu Zhou President
ZHOU YUAN INTERNATIONAL CORPORATION Mfg Service Industry Machinery
530 Showers Dr #7-348, Mountain View, CA 94040 446 Nelo St, Santa Clara, CA 95054 4089692688
Jian Zhou Principal
Globespan Nonclassifiable Establishments
3415 Janice Way, Palo Alto, CA 94303
Jian Zhou President
ANTON (U.S.A.) INC
3100 Mowry Ave #403B, Fremont, CA 94538
Jian Zhou President
CONICOMM TECHNOLOGY, INC
2455 H Autumnvale Dr, San Jose, CA 95131
Jian Zhou President
WONDERPOLY CORPORATION
4976 Bela Dr, San Jose, CA 95129
Jian Fei Zhou
Crystal's Enterprise LLC Real Estate Investment Management · Business Services
Navy Federal Credit Union
Digital Engineer V
Dstorm Technologies
Founder, Software Architect and Senior Software Engineer
Dstorm Technologies Nov 1, 2015 - Aug 2016
Software Architect and Senior Software Engineer
Inspur Group Co., Ltd. Aug 2015 - Nov 2015
Big Data Platform Architect
Lionbridge Nov 2013 - Jul 2015
Project Manager
Education:
Shanghai Fisheries University 1995 - 1999
Bachelors, Biology
Skills:
.Net Microsoft Sql Server Ssis C# Visual Studio Asp.net Mvc Web Services Data Warehousing Entity Framework T Sql Requirements Analysis Javascript Solution Architecture Java Microsoft Azure Cloud Computing Hadoop Proposal Writing Requirements Gathering Microsoft Power Bi Css Linux Presto Machine Learning Amazon Web Services Python Dax Hdinsight Asp.net Soa Xml Wcf Ssrs Jquery Redis Apache Kafka Apache Storm Mongodb Subversion Stored Procedures Windows Server 2008 Tfs Mysql Ooad Enterprise Library Ado.net Technical Project Delivery Database Modeling Windows Services Ssas Olap Wordpress Html Analysis Services Linq Ajax Angularjs Node.js
Interests:
Digital Photography Running Long Distance Running
Languages:
English Mandarin
Certifications:
Shaping Up With Angularjs Staying Sharp With Angularjs Real-Time Web With Node.js Mcts: .Net Framework 3.5, Asp.net Applications Mcpd: Asp.net Developer 3.5 Mcps: Microsoft Certified Professional Intermediate R Writing Functions In R Intermediate R - Practice Object-Oriented Programming In R: S3 and R6 Importing Data In R (Part 1) Importing Data In R (Part 2) Cleaning Data In R Importing & Cleaning Data In R: Case Studies Data Manipulation In R With Dplyr Joining Data In R With Dplyr Manipulating Time Series Data In R With Xts Data Visualization With Ggplot2 (Part 1) Microsoft Specialist - Design and Implement Big Data Analytics Solutions Microsoft Dat225X: Developing A Sql Server Analysis Services Tabular Data Model Python Programming Track Python Programmer Track Statistical Thinking In Python (Part 1) Statistical Thinking In Python (Part 2) License 7282594 Code School Microsoft, License 7282594
Jun 2009 to 2000 Staff Software EngineerOmnivision Technologies Santa Clara, CA Feb 2007 to Jun 2009 Senior Algorithm Development EngineerMotorola Inc San Diego, CA Dec 2003 to Feb 2007 Senior Staff EngineerUniversity of Washington Seattle, WA Sep 1999 to Dec 2003 Research Assistant, Dept. of Electrical EngineeringMitsubishi Electric Research Lab Cambridge, MA Jun 2002 to Sep 2002 InternTsinghua University
Sep 1996 to Jun 1999 Research Assistant, Dept. of Electronic Engineering
Education:
University of Washington Dec 2003 Ph.D. in Dept. of Electrical EngineeringTsinghua University Jul 1999 M.S. in Dept. of Electronic EngineeringTsinghua University Jul 1996 B.S. in Dept. of Electronic Engineering