Patents by Inventor Kuang-Chih Lee

Kuang-Chih Lee 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: 20190140488
    Abstract: An integrated circuit (IC) includes a first circuit layer that includes a first wireless power transfer (WPT) device, a first chip electrically connected to the first circuit layer, and a first tracking circuit disposed in the first chip. The first WPT device may be configured to extract energy from an electromagnetic signal and provide an output voltage. The first tracking circuit may be powered by the output voltage of the first WPT device and may output tracking data in response to an instruction extracted from the electromagnetic signal.
    Type: Application
    Filed: December 14, 2018
    Publication date: May 9, 2019
    Inventors: MIN-JER WANG, CHING-NEN PENG, CHEWN-PU JOU, FENG WEI KUO, HAO CHEN, HUNG-CHIH LIN, HUAN-NENG CHEN, KUANG-KAI YEN, MING-CHIEH LIU, TSUNG-HSIUNG LEE
  • Publication number: 20190114677
    Abstract: Systems, devices, and methods are disclosed for predicting a dynamic floor price for increasing cleared revenue cleared after a winning bid is determined in an online bid auction. The dynamic floor price is predicted from a cascading classifier strategy implemented through a series of cascading machine learning based classifier models that have been trained.
    Type: Application
    Filed: October 13, 2017
    Publication date: April 18, 2019
    Applicant: Yahoo Holdings, Inc.
    Inventors: Zhihui Xie, Kuang-chih Lee, Junwei Pan
  • Publication number: 20180329994
    Abstract: The present teaching relates to dynamically generate a score floor model that provides a dynamically determined threshold metric to be used to select future bids that satisfy a first and second set of metrics. Feedback information is first received that relates to a plurality of bids previously submitted by a bidder to a publisher, wherein the feedback information indicates whether each of the plurality of bids has led to an impression. The first set of metrics specified by the publisher is obtained and the second set of metrics is retrieved. The score floor model with respect to the publisher is dynamically updated based on the feedback information as well as the first and second sets of metrics.
    Type: Application
    Filed: May 9, 2017
    Publication date: November 15, 2018
    Inventors: Zhihui Xie, Kuang-Chih Lee, Pradip Thachile
  • Publication number: 20180293506
    Abstract: The present teaching relates to recommending content items to a user based on tensor factorization. In one example, a request is received for recommending content items to the user. Tensor data related to a plurality of users and a plurality of content items are obtained based on the request. The tensor data is decomposed into a plurality of sub-tensors based on a prior probability distribution. At least one bound is determined for a tensor factorization model that is generated based on the prior probability distribution. One or more items interesting to the user are predicted based on the at least one bound and the plurality of sub-tensors. At least one of the one or more items is recommended to the user as a response to the request.
    Type: Application
    Filed: April 5, 2017
    Publication date: October 11, 2018
    Inventors: Kuang-Chih Lee, Shandian Zhe
  • Publication number: 20180268073
    Abstract: To maximize the accuracy and efficiency of predicting users that will enjoy targeted content, a proposed content selection solution looks to combine a first strategy of utilizing selection rules with a second strategy of utilizing machine based learning models. By combining the selection rules-based approach and the machine learning model-based approach, the proposed content selection solution is able to consider and recommend a wider range of users for each available content.
    Type: Application
    Filed: March 15, 2017
    Publication date: September 20, 2018
    Applicant: Yahoo Holdings, Inc.
    Inventors: Liang Wang, Shengjun Pan, Kuang-chih Lee, Quan Lu, Junwei Pan
  • Patent number: 10068247
    Abstract: Described herein are techniques and systems for online ad campaign pacing. The techniques described herein use budget allocation along with the estimations of bids and response rates. With use of budget allocation, the techniques can use budget pacing to enhance impressions and maximize desired responses, such as desired click-through rates. These techniques focus on enhancing pacing and performance of ad campaigns, such as enhancing performance across distinct and/or unified online ad marketplaces. These techniques are especially useful in the context of a demand-side platform (DSP). In some examples, the techniques assume that impression supply is much larger than advertiser demand for impressions of their ads, so such techniques focus on selecting high performing inventory of ad space. Yet, with such a focus, a smooth or consistent delivery of ads over time is used.
    Type: Grant
    Filed: December 17, 2014
    Date of Patent: September 4, 2018
    Assignee: Excalibur IP, LLC
    Inventors: Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu
  • Patent number: 10037543
    Abstract: Embodiments of the invention present an approach to conversion rate estimation which relies on using past performance observations along user, publisher, and advertiser data hierarchies. More specifically, embodiments of the invention model the conversion event at different select hierarchical levels with separate binomial distributions and estimate the distribution parameters individually. It is shown how to combine these individual estimators using logistic regression to identify conversion events accurately. Embodiments of the invention can also handle many practical issues, such as data imbalance, missing data, and output probability calibration, which render this estimation problem more difficult for a real-world implementation of the approach.
    Type: Grant
    Filed: August 13, 2012
    Date of Patent: July 31, 2018
    Assignee: Amobee, Inc.
    Inventors: Kuang-Chih Lee, Burkay Birant Orten, Ali Dasdan, Wentong Li
  • Publication number: 20170366626
    Abstract: Systems, methods, and apparatuses are disclosed for generating mapping data structures based on predicted relationships across tracking data obtained from tracking online browsing histories of users to a network of websites.
    Type: Application
    Filed: June 17, 2016
    Publication date: December 21, 2017
    Applicant: Yahoo Holdings, Inc.
    Inventors: Liang Wang, Kuang-chih Lee, Quan Lu
  • Publication number: 20170193336
    Abstract: Briefly, embodiments of methods and/or systems of generating preference indices for contiguous portions of digital images are disclosed. For one embodiment, as an example, parameters of a neural network may be developed to generate object labels for digital images. The developed parameters may be transferred to a neural network utilized to generate signal sample value levels corresponding to preference indices for contiguous portions of digital images.
    Type: Application
    Filed: March 20, 2017
    Publication date: July 6, 2017
    Inventors: Suleyman Cetintas, Kuang-chih Lee, Jia Li
  • Patent number: 9690979
    Abstract: Embodiments described herein facilitate or enhance the implementation of image recognition processes which can perform recognition on images to identify objects and/or faces by class or by people.
    Type: Grant
    Filed: January 13, 2014
    Date of Patent: June 27, 2017
    Assignee: Google Inc.
    Inventors: Salih Burak Gokturk, Dragomir Anguelov, Lorenzo Torresani, Vincent O. Vanhoucke, Munjal Shah, Diem Thanh Vu, Kuang-chih Lee
  • Publication number: 20170169286
    Abstract: Embodiments described herein facilitate or enhance the implementation of image recognition processes which can perform recognition on images to identify objects and/or faces by class or by people.
    Type: Application
    Filed: January 13, 2014
    Publication date: June 15, 2017
    Applicant: Google Inc.
    Inventors: Salih Burak Gokturk, Dragomir Anguelov, Lorenzo Torresani, Vincent O. Vanhoueke, Munjal Shah, Diem Thanh Vu, Kuang-chih Lee
  • Publication number: 20170098236
    Abstract: Described herein are example systems and operations for enhancing response prediction and bidding decision making. A feature recommendation controller may include a factorization machine that generates a set of combinations of contextual and advertiser features yielding high expected response rates. A bidding controller may implement a multi-arm bandit system that uses Thompson sampling to select an optimal one of the feature combinations that corresponds to a highest expected response rate. The bidding controller may compare the corresponding highest expected response rate with a threshold response rate associated with a pacing rate to determine whether to place a bid for a received ad request.
    Type: Application
    Filed: October 2, 2015
    Publication date: April 6, 2017
    Applicant: Yahoo! Inc.
    Inventors: Kuang-chih Lee, Quan Lu, Giovanni Gardelli, Donglin Niu
  • Patent number: 9607217
    Abstract: Briefly, embodiments of methods and/or systems of generating preference indices for contiguous portions of digital images are disclosed. For one embodiment, as an example, parameters of a neural network may be developed to generate object labels for digital images. The developed parameters may be transferred to a neural network utilized to generate signal sample value levels corresponding to preference indices for contiguous portions of digital images.
    Type: Grant
    Filed: December 22, 2014
    Date of Patent: March 28, 2017
    Assignee: Yahoo! Inc.
    Inventors: Suleyman Cetintas, Kuang-chih Lee, Jia Li
  • Publication number: 20170032424
    Abstract: The technologies described herein serve contextually relevant advertisements under a guaranteed advertisement campaign. A publisher retrieves a guaranteed advertisement campaign related to a webpage available for serving an advertisement, and identifies a set of advertisements relating to the guaranteed advertisement campaign. Advertisement selecting circuitry of the publisher determines whether an advertisement that is contextually relevant to content published at the webpage is present in the set of advertisements. If there is no contextually relevant advertisement in the set of advertisements, the advertisement selecting circuitry selects an alternative advertisement from the set of advertisements that minimizes an under-delivery risk related to the guaranteed advertisement campaign. If there is a contextually relevant advertisement in the set of advertisements, the advertisement selecting circuitry selects the contextually relevant advertisement.
    Type: Application
    Filed: July 31, 2015
    Publication date: February 2, 2017
    Applicant: Yahoo! Inc.
    Inventors: Suleyman Cetintas, Srinath Ravindran, Mohammad Saberian, Sandeep Soni, Kuang-chih Lee, Hong Yao, Jian Yang, Pradhan Pattanayak
  • Patent number: 9542419
    Abstract: A similarity search may be performed on the image of a person, using visual characteristics and information that is known about the person. The search identifies images of other persons that are similar in appearance to the person in the image.
    Type: Grant
    Filed: March 20, 2015
    Date of Patent: January 10, 2017
    Assignee: Google Inc.
    Inventors: Vincent O. Vanhoucke, Salih Burak Gokturk, Dragomir Anguelov, Kuang-chih Lee, Munjal Shah, Ashwin Tengli
  • Publication number: 20160299992
    Abstract: Users may consume and/or share information through various types of content items. For example, user may post a family photo through a social network, create a running blog through a microblogging service, etc. Because users may be overwhelmed by the amount of available content items, it may be advantageous to recommend content items, such as blogs to follow, to users. Accordingly, inductive matrix completion is used to evaluate user interactions with content items (e.g., a user following a blog), content item features (e.g., text and/or images of a blog is evaluated to identify a topic of the blog), and/or user features (e.g., a user liking or reblogging a blog, user demographics, user interests, etc.) to determine whether to recommend a content item to a user. Additionally, graph proximity is used to recommend content items based upon weights of edges connecting user nodes to content item nodes within a directed graph.
    Type: Application
    Filed: April 9, 2015
    Publication date: October 13, 2016
    Inventors: Suleyman Cetintas, Kuang-chih Lee
  • Patent number: 9430719
    Abstract: An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.
    Type: Grant
    Filed: September 16, 2015
    Date of Patent: August 30, 2016
    Assignee: Google Inc.
    Inventors: Salih Burak Gokturk, Dragomir Anguelov, Vincent O. Vanhoucke, Kuang-chih Lee, Diem Thanh Vu, Danny Yang, Munjal Shah, Azhar Khan
  • Publication number: 20160180373
    Abstract: Described herein are techniques and systems for online ad campaign pacing. The techniques described herein use budget allocation along with the estimations of bids and response rates. With use of budget allocation, the techniques can use budget pacing to enhance impressions and maximize desired responses, such as desired click-through rates. These techniques focus on enhancing pacing and performance of ad campaigns, such as enhancing performance across distinct and/or unified online ad marketplaces. These techniques are especially useful in the context of a demand-side platform (DSP). In some examples, the techniques assume that impression supply is much larger than advertiser demand for impressions of their ads, so such techniques focus on selecting high performing inventory of ad space. Yet, with such a focus, a smooth or consistent delivery of ads over time is used.
    Type: Application
    Filed: December 17, 2014
    Publication date: June 23, 2016
    Applicant: YAHOO! INC.
    Inventors: Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu
  • Publication number: 20160180372
    Abstract: A computer system implementing a method for ad realization prediction may be configured to receive a plurality of target realization factors associated with a target ad display opportunity; determine a reference realization probability score of the target ad display opportunity based on a global reference realization probability distribution associated with an ad display realization probability decision tree; using the reference realization probability score, determine an ad realization probability score of the target ad display opportunity according to a piecewise calibrated realization probability function; and return the ad realization probability score.
    Type: Application
    Filed: December 19, 2014
    Publication date: June 23, 2016
    Inventors: Quan LU, Kuang-chih Lee, Donglin Niu, Jian Xu
  • Publication number: 20160180162
    Abstract: Briefly, embodiments of methods and/or systems of generating preference indices for contiguous portions of digital images are disclosed. For one embodiment, as an example, parameters of a neural network may be developed to generate object labels for digital images. The developed parameters may be transferred to a neural network utilized to generate signal sample value levels corresponding to preference indices for contiguous portions of digital images.
    Type: Application
    Filed: December 22, 2014
    Publication date: June 23, 2016
    Inventors: Suleyman Cetintas, Kuang-chih Lee, Jia Li