WenJing Ma - Santa Clara CA, US Long Ji Lin - San Jose CA, US Jian Yang - Palo Alto CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00
US Classification:
705 1473
Abstract:
A computer implemented system includes a computer readable storage medium which includes historical demand data for a plurality of advertising inventories, and a processor connected to the computer readable storage medium. The processor is configured for generating a first demand forecast for a first predetermined period of time and a second demand forecast for a second predetermined period of time. The processor is configured for adjusting the first demand forecast by removing an existing demand for each of the plurality of advertising inventories, and for generating a net forecasting demand for each of the plurality of inventories for a third predetermined period of time by combining the second demand forecast and an adjusted first demand forecast. The third predetermined period of time is based on the first and second predetermined periods.
Impression-Trend Techniques For Providing A Display Advertising Supply Forecast
Erik Vee - San Mateo CA, US Jayavel Shanmugasundaram - Santa Clara CA, US Long Ji Lin - San Jose CA, US Peiji Chen - Saratoga CA, US Datong Chen - Santa Clara CA, US Qi He - San Jose CA, US
Assignee:
Yahoo! Inc. - Irvine CA
International Classification:
G06Q 30/00
US Classification:
705 1445
Abstract:
Techniques are described herein for using an impression-trend technique to provide a display advertising supply forecast. A display advertising supply forecast is an estimate of a number of impressions, which are to occur in a future time period, that have specified attribute values. For example, the specified attribute values may be descriptive of impressions with respect to which an advertiser wishes to place ads. An impression-trend technique is a forecasting technique that uses trends regarding past impressions to forecast a number of future impressions that have specified attribute values. The past impressions include attribute values that are related to the specified attribute values.
Distributed Computing System For Large-Scale Data Handling
Peiji Chen - Saratoga CA, US Donald Swanson - Mountain View CA, US Mark Sordo - Santa Cruz CA, US Danny Zhang - Mountain View CA, US Long Ji Lin - San Jose CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 17/30 G06F 7/00
US Classification:
717177, 707E17032
Abstract:
A method for processing data on a distributed computing environment is provided. Input data that is to be processed may be stored on an input storage module. Mapper code can be loaded onto a map module and executed. The mapper code can load a mapper executable file onto the map module from a central storage unit and instantiate the mapper executable file. The mapper code, then, can pass the input data to the mapper executable file. The mapper executable file can generate mapped data based on the input data and pass the mapped data back to the mapper code.
Martin Zinkevich - Santa Clara CA, US Deepak K. Agarwal - Sunnyvale CA, US Erik Vee - San Mateo CA, US Peiji Chen - Saratoga CA, US Long Ji Lin - San Jose CA, US Danny Zhang - Mountain View CA, US Sergei Vassilvitskii - New York NY, US Jayavel Shanmugasundaram - Santa Clara CA, US Ramana Yerneni - Cupertino CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00
US Classification:
705 1471, 705 144
Abstract:
A method for allocating inventory in a networked environment includes receiving a request to purchase a number of display impressions, the request including targeting parameters and a frequency constraint corresponding to a maximum number of times the advertisement can be displayed to a user. The method also includes allocating the requested number of display impressions across a set of user samples, where the number of impressions allocated to any one user sample in the set of user samples is constrained by the frequency constraint. Allocation information that defines how the impressions are allocated among the user samples is stored to a user sample database.
Zhong L. Wang - Marietta GA, US Fengru Fan - Atlanta GA, US Long Lin - Atlanta GA, US Guang Zhu - Atlanta GA, US Yusheng Zhou - Atlanta GA, US
Assignee:
GEORGIA TECH RESEARCH CORPORATION - Atlanta GA
International Classification:
H02N 1/10
US Classification:
310309
Abstract:
A generator includes a thin first contact charging layer and a thin second contact charging layer. The thin first contact charging layer includes a first material that has a first rating on a triboelectric series. The thin first contact charging layer has a first side with a first conductive electrode applied thereto and an opposite second side. The thin second contact charging layer includes a second material that has a second rating on a triboelectric series that is more negative than the first rating. The thin first contact charging layer has a first side with a first conductive electrode applied thereto and an opposite second side. The thin second contact charging layer is disposed adjacent to the first contact charging layer so that the second side of the second contact charging layer is in contact with the second side of the first contact charging layer.
Transparent Flexible Nanogenerator As Self-Powered Sensor For Transportation Monitoring
Youfan Hu - Atlanta GA, US Long Lin - Atlanta GA, US
International Classification:
H01L 41/08 G01P 3/02 G01G 19/08 G08G 1/01
US Classification:
73584, 310339, 73488, 177 1, 977948
Abstract:
A traffic sensor includes a flexible substrate having a top surface. A piezoelectric structure extends from the first electrode layer. The piezoelectric structure has a top end. An insulating layer is infused into the piezoelectric structure. A first electrode layer is disposed on top of the insulating layer. A second electrode layer is disposed below the flexible substrate. A packaging layer is disposed around the substrate, the first electrode layer, the piezoelectric structure, the insulating layer and the second electrode layer. In a method of sensing a traffic parameter, a piezoelectric nanostructure-based traffic sensor is applied to a roadway. An electrical event generated by the piezoelectric nanostructure-based traffic sensor in response to a vehicle interacting with the piezoelectric nanostructure-based traffic sensor is detected. The electrical event is correlated with the traffic parameter.
Impression-Trend Techniques For Providing A Display Advertising Supply Forecast
Jayavel Shanmugasundaram - Santa Clara CA, US Long Ji Lin - San Jose CA, US Peiji Chen - Saratoga CA, US Datong Chen - Santa Clara CA, US Qi He - San Jose CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/02
US Classification:
705 1445
Abstract:
Techniques are described herein for using an impression-trend technique to provide a display advertising supply forecast. A display advertising supply forecast is an estimate of a number of impressions, which are to occur in a future time period, that have specified attribute values. For example, the specified attribute values may be descriptive of impressions with respect to which an advertiser wishes to place ads. An impression-trend technique is a forecasting technique that uses trends regarding past impressions to forecast a number of future impressions that have specified attribute values. The past impressions include attribute values that are related to the specified attribute values.
Embodiments of the present technology may include a method of forming a stack of semiconductor layers. The method may include depositing a first silicon oxide layer on a substrate. The method may also include depositing a first silicon layer on the first silicon oxide layer. The method may include depositing a first silicon nitride layer on the first silicon layer. The method may further include depositing a second silicon layer on the first silicon nitride layer. In addition, the method may include depositing a stress layer on a side of the substrate opposite a side of the substrate with the first silicon oxide layer. The operations may form a structure of semiconductor layers, where the structure includes the first silicon oxide layer, the first silicon layer, the first silicon nitride layer, the second silicon layer, the substrate, and the stress layer. Other methods of reducing stress are described.
Name / Title
Company / Classification
Phones & Addresses
Long Lin Principal
No 1 Chinese Restaurant Eating Place
7887 Tara Blvd, Jonesboro, GA 30236
Long Lin Principal
JIN YAN BAO LLC Eating Place · Eating Places · Nonclassifiable Establishments
7887 Tara Blvd, Jonesboro, GA 30236
Long Lin Principal
Main Moon Chinese Eating Place
7766 Mcginnis Fry Rd, Suwanee, GA 30024 6782052161
Long Lin CEO
JINGLE HERBAL PRODUCTS, INC
PO Box 14312, Atlanta, GA 2100 Bolton Rd NW, Atlanta, GA
Applied Materials Jan 2018 - Apr 2018
Senior Process Engineer
Western Digital Jan 2018 - Apr 2018
Staff Engineer, R and D Engineering
Applied Materials Jun 2016 - Dec 2017
Process Engineer
Georgia Institute of Technology Aug 2015 - May 2016
Postdoctoral Fellow
Georgia Institute of Technology Aug 2010 - Jul 2015
Graduate Research Assistant
Education:
Georgia Institute of Technology 2010 - 2015
Doctorates, Doctor of Philosophy, Materials Science, Philosophy
Tsinghua University 2006 - 2010
Bachelors, Materials Science, Engineering
Skills:
Nanomaterials Nanotechnology Scanning Electron Microscopy Afm Nanofabrication Semiconductors Materials Science Characterization Powder X Ray Diffraction Thin Films Mems Photolithography Microfabrication Tem Matlab Spectroscopy Mathematica Sensors Optical Microscopy Simulations Physics Nanoparticles Electron Microscopy Chemistry Comsol Electrochemistry Mechanical Testing Tga Ftir Design of Experiments Experimentation Polymers Microfluidics Differential Scanning Calorimetry Biomaterials Sputtering
Walmartlabs Oct 2015 - Nov 2016
Director of Engineering - Principal Architect
Ebay Sep 2011 - Sep 2013
Staff Software Algorithm Engineer
Trg Management Jun 2010 - Aug 2010
Quantitative Research
Electronic Arts (Ea) Jun 2010 - Aug 2010
Principal Technical Director, Data and Ai
Education:
New York University 2006 - 2011
Doctorates, Doctor of Philosophy, Computer Science
Chinese Academy of Sciences 2003 - 2006
Master of Science, Masters, Mathematics
Peking University 1999 - 2003
Bachelors, Bachelor of Science, Mathematics
Skills:
Algorithms Hadoop Machine Learning Data Mining Big Data Distributed Systems Java Mapreduce Perl Python Computer Science Scalability Apache Pig Natural Language Processing Unix Artificial Intelligence Software Engineering Hive Hbase Text Mining Information Retrieval Shell Scripting Amazon Web Services Numerical Analysis Computer Graphics R Computer Vision Software Development
Marie Victorin School Brossard Kuwait 1998-1999, Samuel de Champlain School Brossard Kuwait 1999-2001, Pierre Brosseau School Brossard Kuwait 2001-2003
Community:
Vanessa Munoz, Vincent Quintin, Chris Wong, Vanessa Chan, Oscar Twist, Marieeve Ouellette, Michael Angelo, Kadie C, Melanie Golak, Alicia White
Michele Phillips (1982-1986), George Griffin (1960-1965), Marc Bigony (1971-1977), Long Lin (1977-1981), Leilani Finau (1996-2000), Trinity Meriwood (1993-1998)