Patents by Inventor Yunhong Zhou
Yunhong Zhou has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Publication number: 20250085585Abstract: A liquid crystal display device comprises an infrared light-transmitting area, a light-shielding area, a backlight module, an infrared sensor, an infrared light-transmitting layer, and a first light-shielding layer, wherein the infrared sensor and the infrared light-transmitting layer are disposed in the infrared light-transmitting area, the infrared light-transmitting layer comprises a first color resist layer and a second color resist layer stacked and of different colors, the first light-shielding layer is disposed in the light-shielding area and comprises a first color resist light-shielding layer and a second color resist light-shielding layer stacked and of different colors.Type: ApplicationFiled: June 30, 2023Publication date: March 13, 2025Applicant: WUHAN CHINA STAR OPTOELECTRONICS TECHNOLOGY CO., LTD.Inventors: Yunhong ZHOU, Teng WU
-
Publication number: 20240125725Abstract: The present disclosure is directed towards a method, system, and apparatus for distinguishing between isotopically substituted liquids, such as H2O and D2O, and sensing other isotopologues of water, such as H218O. In an embodiment, the electrical output characteristics of the apparatus or device are used as diagnostic signals to distinguish between isotopic compositions and isotopologues of a liquid. In an embodiment, water droplets with volume of several micro litre are applied to the apparatus or device generating some electrical signals which show differences between the application of H2O and D2O, for example. One advantage of the present method and system is that the configuration is simple and portable, with no need for complicated equipment and operation protocols.Type: ApplicationFiled: October 12, 2023Publication date: April 18, 2024Applicant: AquaSensing Inc.Inventors: Xiaoye ZHAO, Walter W. DULEY, Yunhong ZHOU
-
Patent number: 11130190Abstract: Molybdenum is alloyed into stainless steel surface by electro-spark deposition technique. Shielding gas is used during electro-spark deposition process to minimize the oxidation of materials. Control of electro-spark voltage, frequency, capacitance, time can determine the alloying depth of Molybdenum. The alloyed surface thickness varies from 5 ?m to 80 ?m depending on the electro-spark deposition parameters. The alloyed surface comprises, by weight, 15 to 40% of Molybdenum, 8 to 22% of Cr, 0-15% of other alloy elements and impurities. The molybdenum alloyed stainless steel surface exhibits improvement in micro-hardness, wear resistance, and especially corrosion resistance in sodium chloride solutions. Thus, the present invention would be utilized in marine and handling of brines application, as well as in other applications which better corrosion resistance of stainless steel is desired.Type: GrantFiled: August 29, 2017Date of Patent: September 28, 2021Assignee: HUYS INDUSTRIES LIMITEDInventors: Zhen Jiao, Yunhong Zhou
-
Publication number: 20190232412Abstract: Molybdenum is alloyed into stainless steel surface by electro-spark deposition technique. Shielding gas is used during electro-spark deposition process to minimize the oxidation of materials. Control of electro-spark voltage, frequency, capacitance, time can determine the alloying depth of Molybdenum. The alloyed surface thickness varies from 5 ?m to 80 ?m depending on the electro-spark deposition parameters. The alloyed surface comprises, by weight, 15 to 40% of Molybdenum, 8 to 22% of Cr, 0-15% of other alloy elements and impurities. The molybdenum alloyed stainless steel surface exhibits improvement in micro-hardness, wear resistance, and especially corrosion resistance in sodium chloride solutions. Thus, the present invention would be utilized in marine and handling of brines application, as well as in other applications which better corrosion resistance of stainless steel is desired.Type: ApplicationFiled: August 29, 2017Publication date: August 1, 2019Applicant: HUYS INDUSTRIES LIMITEDInventors: Zhen Jiao, Yunhong Zhou
-
Patent number: 10366413Abstract: Aspects of the subject disclosure are directed towards managing sponsored online content based upon advertiser behavior. Defining mini-markets to represent such advertiser behavior may be accomplished by clustering queries that generate revenue from one or more campaigns. Query revenue data between queries and a set of campaigns may be used to determine such mini-markets. To illustrate, a query whose highest revenue is attributed to a campaign may be selected for that campaign's mini-market. When that query is entered as a search term, the campaign's mini-market helps allocate space for advertisements.Type: GrantFiled: June 25, 2013Date of Patent: July 30, 2019Assignee: Microsoft Technology Licensing, LLCInventors: Yunhong Zhou, Christopher J Leggetter, Naiping Liu, Daniel Delling, Xiang Zhao, Xia Sharon Wan, Andrew Goldberg, Renato F. Werneck, Darshan Vishwanath Kantak
-
Patent number: 9477654Abstract: Functionality is described herein for transforming first and second symbolic linguistic items into respective first and second continuous-valued concept vectors, using a deep learning model, such as a convolutional latent semantic model. The model is designed to capture both the local and global linguistic contexts of the linguistic items. The functionality then compares the first concept vector with the second concept vector to produce a similarity measure. More specifically, the similarity measure expresses the closeness between the first and second linguistic items in a high-level semantic space. In one case, the first linguistic item corresponds to a query, and the second linguistic item may correspond to a phrase, or a document, or a keyword, or an ad, etc. In one implementation, the convolutional latent semantic model is produced in a training phase based on click-through data.Type: GrantFiled: April 1, 2014Date of Patent: October 25, 2016Assignee: Microsoft CorporationInventors: Xiaodong He, Jianfeng Gao, Li Deng, Qiang Lou, Yunhong Zhou, Guowei Liu, Gregory T. Buehrer, Jianchang Mao, Yelong Shen, Ruofei Zhang
-
Publication number: 20150278200Abstract: Functionality is described herein for transforming first and second symbolic linguistic items into respective first and second continuous-valued concept vectors, using a deep learning model, such as a convolutional latent semantic model. The model is designed to capture both the local and global linguistic contexts of the linguistic items. The functionality then compares the first concept vector with the second concept vector to produce a similarity measure. More specifically, the similarity measure expresses the closeness between the first and second linguistic items in a high-level semantic space. In one case, the first linguistic item corresponds to a query, and the second linguistic item may correspond to a phrase, or a document, or a keyword, or an ad, etc. In one implementation, the convolutional latent semantic model is produced in a training phase based on click-through data.Type: ApplicationFiled: April 1, 2014Publication date: October 1, 2015Applicant: Microsoft CorporationInventors: Xiaodong He, Jianfeng Gao, Li Deng, Qiang Lou, Yunhong Zhou, Guowei Liu, Gregory T. Buehrer, Jianchang Mao, Yelong Shen, Ruofei Zhang
-
Patent number: 9021094Abstract: Plural sets of items corresponding to plural tiers of a multi-tiered system are defined, where the items represent amounts of resources to allocate to the tiers. Items from respective sets are selected based on a response time constraint and a target cost. Information is provided pertaining to allocation of amounts of resources to the respective tiers based on the selected items.Type: GrantFiled: April 28, 2005Date of Patent: April 28, 2015Assignee: Hewlett-Packard Development Company, L.P.Inventors: Yunhong Zhou, Anshul Kothari, Ram Swaminathan, Robert E. Tarjan
-
Publication number: 20140379473Abstract: Aspects of the subject disclosure are directed towards managing sponsored online content based upon advertiser behavior. Defining mini-markets to represent such advertiser behavior may be accomplished by clustering queries that generate revenue from one or more campaigns. Query revenue data between queries and a set of campaigns may be used to determine such mini-markets. To illustrate, a query whose highest revenue is attributed to a campaign may be selected for that campaign's mini-market. When that query is entered as a search term, the campaign's mini-market helps allocate space for advertisements.Type: ApplicationFiled: June 25, 2013Publication date: December 25, 2014Inventors: Yunhong Zhou, Christopher J. Leggetter, Naiping Liu, Daniel Delling, Xiang Zhao, Xia Sharon Wan, Andrew Goldberg, Renato F. Werneck, Darshan Vishwanath Kantak
-
Publication number: 20140222724Abstract: A log-linear model may be trained using a modified version of an original limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm. The modified version may be based on modifying the original L-BFGS algorithm using a single map-reduce implementation. In another aspect, a sparse log-linear model may be accessed. The sparse log-linear model may be trained with L1-regularization, based on data indicating past user ad selection behaviors. A probability of a user selection of an ad may be determined based on the sparse log-linear model.Type: ApplicationFiled: February 2, 2013Publication date: August 7, 2014Applicant: MICROSOFT CORPORATIONInventors: Jianfeng Gao, Xuedong Huang, Zhenghao Wang, Yunhong Zhou
-
Patent number: 8281313Abstract: An embodiment of a method of scheduling computer processing begins with a first step of receiving job properties for a plurality of jobs to be processed in a multi-processor computing environment. At least some of the jobs each comprise a plurality of stages, one or more tasks for each stage, and precedence constraints among the stages. The method continues with a second step of determining a schedule for processing at least a subset of the plurality of jobs on processors within the multi-processor computing environment from a solution of a mathematical program that provides a near maximal completion reward. The schedule comprises a sequence of tasks for each processor. In a third step, the computer processing jobs are processed on the processors according to the sequence of tasks for each processor.Type: GrantFiled: September 29, 2005Date of Patent: October 2, 2012Assignee: Hewlett-Packard Development Company, L.P.Inventors: Cipriano A. Santos, Dirk Beyer, Yunhong Zhou, Terence P. Kelly
-
Patent number: 8224739Abstract: Embodiments are directed to systems, methods, and apparatus for allocating goods to bidders in combinatorial auctions. In one embodiment, bids are received in a combinatorial auction and the winner determination problem is modeled as an interval knapsack problem (I-KP) or an interval multiple-choice knapsack problem (I-MCKP), efficient algorithms (both pseudo-polynomial-time exact algorithms and FPTAS) for I-KP (and I-MCKP) are used to compute an allocation of goods to winning bidders.Type: GrantFiled: July 30, 2007Date of Patent: July 17, 2012Assignee: Hewlett-Packard Development Company, L.P.Inventor: Yunhong Zhou
-
Patent number: 8103675Abstract: A method of predicting user-item ratings includes providing a first matrix of hidden variables associated with individual items, a second matrix of hidden variables associated with individual users, a third matrix of predicted user-item ratings derived from an inner product of vectors in the first and second matrices, and a fourth matrix of actual user-item ratings. The first and second matrices are alternately fixed and solved with a weighted-? regularization of at least one of the first and second matrices by minimizing a sum of squared errors between actual user-item ratings in the fourth matrix and corresponding predicted user-item ratings in the third matrix repeatedly until a stopping criterion is satisfied.Type: GrantFiled: October 20, 2008Date of Patent: January 24, 2012Assignee: Hewlett-Packard Development Company, L.P.Inventors: Yunhong Zhou, Robert S. Schreiber, Dennis M. Wilkinson
-
Patent number: 8046294Abstract: The invention is directed to systems, methods, and an apparatus for bidding in online auctions. Bids for advertising include an amount that is a function of an expected value-per-click and a fraction of a budget already spent for advertising slots.Type: GrantFiled: July 30, 2007Date of Patent: October 25, 2011Assignee: Hewlett-Packard Development Company, L.P.Inventors: Yunhong Zhou, Deeparnab Chakrabarty, Rajan Lukose
-
Patent number: 7886055Abstract: To perform resource allocation in a system having plural tiers, one of plural resource allocation algorithms is selected in response to determining, based on one or more conditions, which of the plural resource allocation algorithms to select. The selected resource allocation algorithm is used to allocate resources for the plural tiers of the system.Type: GrantFiled: April 28, 2005Date of Patent: February 8, 2011Assignee: Hewlett-Packard Development Company, L.P.Inventors: Yunhong Zhou, Anshul Kothari, Kamalika Chaudhuri, Ram Swaminathan, Robert E. Tarjan
-
Patent number: 7831325Abstract: User input regarding a target system on which a software application is to be deployed is received. A benchmark system from plural candidate benchmark systems is matched to the target system. An estimated performance of the software application on the target system or an estimated utilization of resources of the target system by the software application is computed based on information relating to the matched benchmark system.Type: GrantFiled: April 18, 2005Date of Patent: November 9, 2010Assignee: Hewlett-Packard Development Company, L.P.Inventors: Alex X. Zhang, Fereydoon F. Safai, Richard Stormo, Dirk M. Beyer, Yunhong Zhou, Jerry Z. Shan
-
Patent number: 7742906Abstract: A representation of a network having vertices connected by arcs is provided. Different collections of vertices in the network are iteratively selected. Balancing moves are performed in corresponding collections of the network, where the collections are represented by corresponding graphs according to a predefined structure.Type: GrantFiled: March 6, 2007Date of Patent: June 22, 2010Assignee: Hewlett-Packard Development Company, L.P.Inventors: Yunhong Zhou, Robert E. Tarjan, Bin Zhang
-
Publication number: 20100100516Abstract: A method of predicting user-item ratings includes providing a first matrix of hidden variables associated with individual items, a second matrix of hidden variables associated with individual users, a third matrix of predicted user-item ratings derived from an inner product of vectors in the first and second matrices, and a fourth matrix of actual user-item ratings. The first and second matrices are alternately fixed and solved with a weighted-? regularization of at least one of the first and second matrices by minimizing a sum of squared errors between actual user-item ratings in the fourth matrix and corresponding predicted user-item ratings in the third matrix repeatedly until a stopping criterion is satisfied.Type: ApplicationFiled: October 20, 2008Publication date: April 22, 2010Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.Inventors: Yunhong Zhou, Robert S. Schreiber, Dennis M. Wilkinson
-
Publication number: 20100082433Abstract: One embodiment is a method that generates bids at an online search auction. The method uses a threshold function to decide which slot to obtain and bids accordingly.Type: ApplicationFiled: October 1, 2008Publication date: April 1, 2010Inventors: Yunhong Zhou, Victor Naroditskiy
-
Patent number: 7680641Abstract: A representation of a network having vertices connected by arcs is provided, where the network exhibits a pseudoflow. Arcs on which moves are to be performed are iteratively chosen for balancing excesses of vertices across the arcs until a stopping rule is satisfied. After the stopping rule is satisfied, further processing is performed to identify at least one of a minimum cut and/or maximum flow.Type: GrantFiled: June 9, 2006Date of Patent: March 16, 2010Assignee: Hewlett-Packard Development Company, L.P.Inventors: Robert E. Tarjan, Bin Zhang, Yunhong Zhou