Gastric Cancer Kidney Cancer Laryngeal Cancer Lung Cancer Malignant Neoplasm of Colon
Languages:
English
Description:
Dr. Zheng graduated from the Peking Union Med Coll, Beijing, Beijing, China in 1996. He works in Baltimore, MD and 1 other location and specializes in Medical Oncology. Dr. Zheng is affiliated with The Johns Hopkins Hospital.
Feng Anne Xie - San Jose CA, US Lei Zheng - Apex NC, US Eric Sean Castner - Uniontown OH, US
Assignee:
The Goodyear Tire & Rubber Company - Akron OH
International Classification:
B60C 5/00
US Classification:
1522091, 152450
Abstract:
This invention relates to a tread rubber composition for tires with the addition of crosslinked resinous nanoparticles having a high glass transition temperature (T) into elastomeric base polymers. The invention demonstrates greatly improved handling performance without deteriorating controllability and stability during high-speed running. The present invention more specifically discloses a tire which is comprised of a generally toroidal-shaped carcass with an outer circumferential tread, two spaced beads, at least one ply extending from bead to bead and sidewalls extending radially from and connecting said tread to said beads; wherein said tread is adapted to be ground-contacting; and wherein the tread is comprised of a rubber composition comprising: (1) a rubbery polymer; (2) from 1 to 30 parts per hundred parts of rubber by weight of pre-crosslinked polymer particles, wherein the pre-crosslinked polymer particles have a mean number average particle size as determined by light scattering which is within the range of 30 nm to 500 nm, wherein the pre-crosslinked polymer is comprised of repeat units that are derived from at least one monomer selected from the group consisting of acrylate monomers, acrylonitrile monomer, and vinyl halide monomers, wherein the pre-croslinked polymer is in the form of core-shell particles having a core and a shell, and wherein the pre-crosslinked polymer has a glass transition temperature which is within the range of 30 C. to 200 C. ; and (3) 10 to 150 parts per hundred parts of rubber by weight of at least one filler selected from the group consisting of carbon black and silica.
Automatic Vetting Of Web Applications To Be Listed In A Marketplace For Web Applications
Erik Kay - Belmont CA, US Aaron Boodman - San Francisco CA, US Lei Zheng - Saratoga CA, US Michael Noth - Bothell WA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06Q 30/00
US Classification:
705 26, 705 27
Abstract:
A computer-implemented method includes providing an online marketplace to developers of web applications that may be downloaded from the marketplace to a client computing device for execution by a browser executing on the client device and receiving a request from a party to the marketplace to list a proposed web application for sale in the marketplace. One or more processors of a computer system automatically determine the permissions requested by the proposed web application and automatically determine if the permissions match one or more predetermined permissions. If the permissions match one or more predetermined permissions, then the proposed application is flagged for a manual vetting process before listing the proposed application in the marketplace, and if they do not match, then the proposed application is listed in the marketplace without manual review of the application.
Spam Filtering Based On Statistics And Token Frequency Modeling
Lei Zheng - Sunnyvale CA, US Sharat Narayan - Sunnyvale CA, US Mark E. Risher - San Francisco CA, US Stanley Ke Wei - Palo Alto CA, US Vishwanath Tumkur Ramarao - Sunnyvale CA, US Anirban Kundu - San Francisco CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 15/16
US Classification:
709206, 709224, 704 2, 382124
Abstract:
Embodiments are directed towards classifying messages as spam using a two phased approach. The first phase employs a statistical classifier to classify messages based on message content. The second phase targets specific message types to capture dynamic characteristics of the messages and identify spam messages using a token frequency based approach. A client component receives messages and sends them to the statistical classifier, which determines a probability that a message belongs to a particular type of class. The statistical classifier further provides other information about a message, including, a token list, and token thresholds. The message class, token list, and thresholds are provided to the second phase where a number of spam tokens in a given message for a given message class are determined. Based on the threshold, the client component then determines whether the message is spam or non-spam.
Detecting Bulk Fraudulent Registration Of Email Accounts
Bhasker Hariharan - Sunnyvale CA, US Naveen Jamal - San Jose CA, US Anirban Kundu - San Francisco CA, US Vishwanath Tumkur Ramarao - Sunnyvale CA, US Mark E. Risher - San Francisco CA, US Xiaopeng Xi - Sunnyvale CA, US Lei Zheng - Sunnyvale CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 21/00 G06N 7/02 G06F 15/16
US Classification:
706 52, 726 27, 709206
Abstract:
The invention provides for at least three processes for detecting the probability of abusive use of a message account for sending large amounts of unsolicited messages, such as spam, to other message accounts. For example, information provided at registration for a new message account can be processed to determine the likelihood of abusive use of that message account. Also, inbound messages can be processed to determine if the message account that sent the inbound message is abusing the use of that message account. Additionally, outbound messages can be processed to determine if the message account that is attempting to send an outbound message is abusing the use of that message account. Each of these three processes can operate separately or in any combination with each other to further improve the probability that abusive use of a message account will be detected promptly and accurately.
Bhasker Hariharan - Sunnyvale CA, US Naveen Jamal - San Jose CA, US Anirban Kundu - San Francisco CA, US Vishwanath Tumkur Ramarao - Sunnyvale CA, US Mark E. Risher - San Francisco CA, US Xiaopeng Xi - Sunnyvale CA, US Lei Zheng - Sunnyvale CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 15/16
US Classification:
709206
Abstract:
The invention provides for at least three processes for detecting the probability of abusive use of a message account for sending large amounts of unsolicited messages, such as spam, to other message accounts. For example, information provided at registration for a new message account can be processed to determine the likelihood of abusive use of that message account. Also, inbound messages can be processed to determine if the message account that sent the inbound message is abusing the use of that message account. Additionally, outbound messages can be processed to determine if the message account that is attempting to send an outbound message is abusing the use of that message account. Each of these three processes can operate separately or in any combination with each other to further improve the probability that abusive use of a message account will be detected promptly and accurately.
Server-Side Support For Seamless Rewind And Playback Of Video Streaming
Lei Zheng - Saratoga CA, US Christopher Dylan Bentzel - Quincy MA, US Kyle Kakligian - Sunnyvale CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
H04N 5/91 H04N 7/173
US Classification:
386 68, 725105, 386E05001
Abstract:
A system and method provide server side support for seamless, scalable rewind and playback of a video stream. A video stream is stored and indexed in a network storage place. A video stream can be indexed at frame level where each intra frame of the video stream has an index indicating the file offset and the time stamp of the intra frame in the video stream. A user request for rewinding of a video stream while the video stream is being broadcast is processed by extracting the rewinding time requirement from the user request. The extracted rewinding time value is used to calculate the requested file offset. The video stream starting at the requested time is retrieved and played back according to the user request. The system also provides server side support for seamless rewinding of a video stream and scalable system performance across multiple streaming data centers.
System And Method For Identifying Abusive Account Registration
Lei Zheng - Sunnyvale CA, US Phil Y. Yang - Sunnyvale CA, US Shyam Mittur - San Ramon CA, US Prashant Vyas - San Jose CA, US Savitha Perumal - Sunnyvale CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 15/18
US Classification:
706 12
Abstract:
Disclosed is a system and method for processing account registration by identifying account candidates attempting to open an account as abusive. That is, the present disclosure discusses identifying, and challenging and marking abusive account registration. The present disclosure takes into account users' behaviors on a network and the impact to the cost and/or revenue of the network. The present disclosure is proactive as it allows for actions to be taken at the earliest possible time in the registration process before an account is created. This prevents abusive activity from taking place within the network and effecting services and privileges available to legitimate users. Additionally, the effects of the disclosed systems and methods minimize the negative impacts of abusive activity on normal user accounts.
A computer implemented method enables presenting interesting and informative preview video of a video content item in a digital magazine. The method comprises steps of receiving a video content item from a content provider, e.g., a 2-minute video advertisement for a car from an advertiser, and analyzing the video content item. The video content item is segmented into multiple segments based on the analysis, e.g., scene changes detected with the video frames of the video content item. One or more segments are selected, e.g., based on their associated visual quality, and are combined to generate a preview video, e.g., a 10-second long video highlighting new features of the car. One or more transition segments can be added between segments to enhance user experience with the preview video. The preview video is provided to a client device for display and auto playback.
Name / Title
Company / Classification
Phones & Addresses
Lei Zheng President
UTOPIA SOFTWARE SOLUTIONS, INC
6740 Crosby Ct, San Jose, CA 95129
Lei Zheng President
PANOMON INC
Panomon Inc C/O Ffl, Palo Alto, CA 94306 650 Page Ml Rd, Palo Alto, CA 94304 395 Page Ml Rd, Palo Alto, CA 94306
University of Michigan 2015 - 2017
Masters, Electronics Engineering
University of Science and Technology of China 2011 - 2015
Bachelors, Electronics Engineering
Skills:
Verilog Systemverilog Synopsys Tools C C++ Xilinx Ise Very Large Scale Integration
Interests:
Logic Design and Verification Science and Technology Computer Architecture Education
Adobe
Search Engineering Lead, Adobe Search and Sensei
Apple Jan 2018 - Mar 2019
Technician Lead, Senior Engineer and Data Scientist, Map Search
Uber Aug 2016 - Jan 2018
Software Engineer
Blippar Jul 2015 - Jul 2016
Senior Research Scientist
Eventbrite Jul 2014 - Mar 2015
Senior Software Engineer Ii
Education:
University of Pittsburgh 1997 - 2005
Doctorates, Doctor of Philosophy, Information Science, Philosophy
University of Pittsburgh School of Medicine 2003
University of Pittsburgh School of Medicine 1995 - 2003
Masters
University of Pittsburgh 2003
Carnegie Mellon University 2000 - 2003
University of Pittsburgh 1997 - 1998
Master of Science, Masters, Telecommunications, Information Science
Shanghai High School
Fudan University
Bachelors, Bachelor of Science, Engineering
Skills:
Machine Learning Python Hadoop Algorithms Information Retrieval Data Mining C++ Java Big Data Pattern Recognition R Mapreduce C Data Structures Research Unix Leadership Continuous Improvement Spam Filtering Grid Computing Reputation Computer Vision Artificial Intelligence Text Mining Go