Patents by Inventor SHUAI ZHENG

SHUAI ZHENG 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: 20210159664
    Abstract: The present disclosure provides a laser diode package module. The laser diode package module includes a substrate including a first surface; a cover disposed on the first surface of the substrate; an accommodation space formed between the substrate and the cover; a laser diode die disposed in the accommodation space; and a reflective surface disposed in the accommodation space for outputting light of the laser diode die reflected by the reflective surface and transmitted through a light-transmitting area. The light-transmitting area is at least partially disposed on a surface of the cover opposite the substrate.
    Type: Application
    Filed: February 2, 2021
    Publication date: May 27, 2021
    Inventors: Xiang LIU, Guoguang ZHENG, Xiaoping HONG, Mingyu WANG, Shuai DONG
  • Publication number: 20210158046
    Abstract: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.
    Type: Application
    Filed: February 8, 2021
    Publication date: May 27, 2021
    Applicant: eBay Inc.
    Inventors: Shuai Zheng, Fan Yang, Mohammadhadi Kiapour, Qiaosong Wang, Japjit S. Tulsi, Robinson Piramuthu
  • Publication number: 20210127366
    Abstract: The present invention relates to an allocation technology for wireless network resources, and particularly to a resource allocation method for coexistence of multiple line topological industrial wireless networks. The present invention considers the coexistence problem of multiple TDMA-based line topological industrial wireless networks, including three parts: lower bound analysis of scheduling delay, allocation algorithm of inter-network resources and allocation algorithm of intra-network resources. The method uses overall scheduling delay and resource utilization ratio as measurement indexes when analyzing the lower bound of delay and designing resource allocation algorithms, and selects a best node combination in each time slot to occupy as many channel resources as possible to improve the resource utilization ratio and reduce the overall scheduling delay.
    Type: Application
    Filed: November 20, 2019
    Publication date: April 29, 2021
    Inventors: Wei LIANG, Jialin ZHANG, Meng ZHENG, Sichao ZHANG, Kai WANG, Shuai LIU
  • Publication number: 20210123129
    Abstract: A mask has a mask pattern region and a non-mask pattern region located at a peripheral of the mask pattern region. The mask pattern region includes at least one effective mask region. In any effective mask region, the mask includes a plurality of evaporation holes and at least one shielding strip. Each shielding strip is located between two adjacent evaporation holes. The mask has at least one welding region in the non-mask pattern region. A thickness of a portion of the mask in the non-mask pattern region and at least in the welding region is greater than a thickness of the shielding strip of the mask in the effective mask region, and the thickness refers to a dimension of the corresponding portion along a direction perpendicular to a plane where the mask is located.
    Type: Application
    Filed: March 11, 2020
    Publication date: April 29, 2021
    Inventors: Yong ZHENG, Shuai DU, Wenbiao DING
  • Publication number: 20210103957
    Abstract: A machine is configured to generate in real time personalized online banner images for users based on data pertaining to user behavior in relation to an image of a product. For example, the machine receives a user selection indicating one or more data features associated with the user. The one or more data features include a data feature pertaining to user behavior in relation to an image of a product. The machine generates, using a machine learning algorithm, a data representation of the machine learning algorithm based on the one or more data features including the data feature pertaining to user behavior in relation to the image of the product. The data representation includes one or more data features pertaining to one or more characteristics of online banner images. The machine generates an online banner image for the user based on the data representation.
    Type: Application
    Filed: November 30, 2020
    Publication date: April 8, 2021
    Inventors: Shuai Zheng, Mohammadhadi Kiapour, Nandini Ramakrishnan, Christophe Boudet, Fred Aye Zaw, JR.
  • Patent number: 10970768
    Abstract: Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual text content and input query image visual text content. Unlike conventional optical character recognition (OCR) based systems, embodiments automatically localize and isolate portions of a candidate product image and an input query image that each contain visual text content, and calculate a visual similarity measure between the respective portions. A trained neural network may be re-trained to more effectively find visual text content by using the localized and isolated visual text content portions as additional ground truths. The visual similarity measure serves as a visual search result score for the candidate product. Any number of images of any number of candidate products may be compared to an input query image to enable text-in-image based product searching without resorting to conventional OCR techniques.
    Type: Grant
    Filed: November 11, 2016
    Date of Patent: April 6, 2021
    Assignee: eBay Inc.
    Inventors: Shuai Zheng, Robinson Piramuthu
  • Patent number: 10963940
    Abstract: Techniques and systems are described that leverage computer vision as part of search to expand functionality of a computing device available to a user and increase operational computational efficiency as well as efficiency in user interaction. In a first example, user interaction with items of digital content is monitored. Computer vision techniques are used to identify digital images in the digital content, objects within the digital images, and characteristics of those objects. This information is used to assign a user to a user segment of a user population which is then used to control output of subsequent digital content to the user, e.g., recommendations, digital marketing content, and so forth.
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: March 30, 2021
    Assignee: eBay Inc.
    Inventors: Robinson Piramuthu, Timothy Samuel Keefer, Ashmeet Singh Rekhi, Padmapriya Gudipati, Mohammadhadi Kiapour, Shuai Zheng, Md Atiq ul Islam, Nicholas Anthony Whyte, Giridharan Iyengar
  • Patent number: 10949667
    Abstract: Camera platform and object inventory control techniques are described. In an implementation a live feed of digital images is output in a user interface by a computing device. A user selection is received through interaction with the user interface of at least one of the digital images. An object, included within the at least one digital image, is recognized using machine learning. Metadata is then obtained that pertains to the recognized object. Augmented reality digital content is generated based at least in part of the obtained metadata. The augmented reality digital content is displayed as part of the live feed of digital images as associated with the object.
    Type: Grant
    Filed: December 29, 2017
    Date of Patent: March 16, 2021
    Assignee: eBay Inc.
    Inventors: Shuai Zheng, Fan Yang, Mohammadhadi Kiapour, Qiaosong Wang, Japjit S. Tulsi, Robinson Piramuthu
  • Publication number: 20210063214
    Abstract: Systems and methods configured to perform monitoring of one or more user activities are described. In one embodiment, a plurality of sensors is configured for contact-free monitoring of at least one bodily function. A signal processing module communicatively coupled to the sensors is configured to receive data from the sensors. A first sensor is configured to generate a first set of quantitative data associated with a user speed and a user position. A second sensor is configured to generate a second set of quantitative data associated with a user action. A third sensor is configured to generate a third set of quantitative data associated with a user movement. The signal processing module is configured to process the three sets of quantitative data using a machine learning module, and identify a user activity and detect a condition associated with the user.
    Type: Application
    Filed: August 26, 2019
    Publication date: March 4, 2021
    Inventors: Jia Li, Ning Zhang, Shuai Zheng, Jordan Hill Hurwitz, Ziyu Zhang, Mohammadhadi Kiapour
  • Publication number: 20210065891
    Abstract: Privacy-preserving activity monitoring systems and methods are described. In one embodiment, a plurality of sensors is configured for contact-free monitoring of at least one user state. A signal processing module communicatively coupled to the sensors is configured to receive data from the sensors. A first sensor is configured to generate a first set of quantitative data associated with a first user state. A second sensor is configured to generate a second set of quantitative data associated with a second user state. A third sensor is configured to generate a third set of quantitative data associated with a third user state. The signal processing module is configured to process the three sets of quantitative data using a machine learning module, and identify a user activity and detect a condition associated with the user, where no user-identifying information is communicated more than 100 meters to or from the signal processing module.
    Type: Application
    Filed: August 27, 2019
    Publication date: March 4, 2021
    Inventors: Jia Li, Ning Zhang, Shuai Zheng, Jordan Hill Hurwitz, Ziyu Zhang, Mohammadhadi Kiapour
  • Publication number: 20210055719
    Abstract: Example implementations involve a system for Predictive Maintenance using Generative Adversarial Networks for Failure Prediction. Through utilizing three processes concurrently and training them iteratively with data-label pairs, example implementations described herein can thereby generate a more accurate predictive maintenance model than that of the related art. Example implementations further involve shared networks so that the three processes can be trained concurrently while sharing parameters with each other.
    Type: Application
    Filed: August 21, 2019
    Publication date: February 25, 2021
    Inventors: Shuai ZHENG, Ahmed Khairy FARAHAT, Chetan GUPTA
  • Patent number: 10885558
    Abstract: A machine is configured to generate in real time personalized online banner images for users based on data pertaining to user behavior in relation to an image of a product. For example, the machine receives a user selection indicating one or more data features associated with the user. The one or more data features include a data feature pertaining to user behavior in relation to an image of a product. The machine generates, using a machine learning algorithm, a data representation of the machine learning algorithm based on the one or more data features including the data feature pertaining to user behavior in relation to the image of the product. The data representation includes one or more data features pertaining to one or more characteristics of online banner images. The machine generates an online banner image for the user based on the data representation.
    Type: Grant
    Filed: October 9, 2018
    Date of Patent: January 5, 2021
    Assignee: eBay Inc.
    Inventors: Shuai Zheng, Mohammadhadi Kiapour, Nandini Ramakrishnan, Christophe Boudet, Fred Aye Zaw, Jr.
  • Publication number: 20200380388
    Abstract: Example implementations described herein are directed to constructing prediction models and conducting predictive maintenance for systems that provide sparse sensor data. Even if only sparse measurements of sensor data are available, example implementations utilize the inference of statistics with functional deep networks to model prediction for the systems, which provides better accuracy and failure prediction even if only sparse measurements are available.
    Type: Application
    Filed: May 31, 2019
    Publication date: December 3, 2020
    Inventors: Qiyao WANG, Shuai ZHENG, Ahmed FARAHAT, Susumu SERITA, Takashi SAEKI, Chetan GUPTA
  • Publication number: 20200350274
    Abstract: A chip package device includes a chip, and a first substrate and a second substrate that are disposed opposite to each other, where the chip is disposed on a surface that is of the first substrate and that faces the second substrate. The chip is electrically connected to the first substrate through a first conductive part, the first substrate is electrically connected to the second substrate through a second conductive part, and a heat dissipation passage is formed between the chip and the second substrate through a thermally conductive layer. The chip package device may further include a molding compound that is configured to wrap the chip. The thermally conductive layer disposed between the chip and the second substrate can quickly dissipate a large amount of heat generated by the chip to the second substrate so that the chip maintains a normal temperature.
    Type: Application
    Filed: July 17, 2020
    Publication date: November 5, 2020
    Inventors: Jiajie TANG, Guanhong YE, Laicun LIN, Guowen LIU, Shuai ZHENG, Huafeng ZHANG
  • Publication number: 20200241511
    Abstract: Example implementations described herein are directed to a system for manufacturing dispatching using reinforcement learning and transfer learning. The systems and methods described herein can be deployed in factories for manufacturing dispatching for reducing job-due related costs. In particular, example implementations described herein can be used to reduce massive data collection and reduce model training time, which can eventually improve dispatching efficiency and reduce factory cost.
    Type: Application
    Filed: January 30, 2019
    Publication date: July 30, 2020
    Inventors: Shuai ZHENG, Chetan GUPTA, Susumu SERITA
  • Publication number: 20200218947
    Abstract: Various embodiments described herein utilize multiple levels of generative adversarial networks (GANs) to facilitate generation of digital images based on user-provided images. Some embodiments comprise a first generative adversarial network (GAN) and a second GAN coupled to the first GAN, where the first GAN includes an image generator and at least two discriminators, and the second GAN includes an image generator and at least one discriminator. According to some embodiments, the (first) image generator of the first GAN is trained by processing a user-provided image using the first GAN. For some embodiments, the user-provided image and the first generated image, generated by processing the user-provided image using the first GAN, are combined to produce a combined image. For some embodiments, the (second) image generator of the second GAN is trained by processing the combined image using the second GAN.
    Type: Application
    Filed: January 3, 2020
    Publication date: July 9, 2020
    Inventors: Mohammadhadi Kiapour, Shuai Zheng, Robinson Piramuthu, Omid Poursaeed
  • Publication number: 20200111134
    Abstract: A machine is configured to generate in real time personalized online banner images for users based on data pertaining to user behavior in relation to an image of a product. For example, the machine receives a user selection indicating one or more data features associated with the user. The one or more data features include a data feature pertaining to user behavior in relation to an image of a product. The machine generates, using a machine learning algorithm, a data representation of the machine learning algorithm based on the one or more data features including the data feature pertaining to user behavior in relation to the image of the product. The data representation includes one or more data features pertaining to one or more characteristics of online banner images. The machine generates an online banner image for the user based on the data representation.
    Type: Application
    Filed: October 9, 2018
    Publication date: April 9, 2020
    Inventors: Shuai Zheng, Mohammadhadi Kiapour, Nandini Ramakrishnan, Christophe Boudet, Fred Aye Zaw, JR.
  • Publication number: 20200065588
    Abstract: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.
    Type: Application
    Filed: November 4, 2019
    Publication date: February 27, 2020
    Applicant: eBay Inc.
    Inventors: Shuai Zheng, Fan Yang, Mohammadhadi Kiapour, Qiaosong Wang, Japjit S. Tulsi, Robinson Piramuthu
  • Patent number: 10560346
    Abstract: This application provides a service implementation method and apparatus. The method may include: returning, when an object creation request from an object provider is received, a response message to the object provider according to an application scenario corresponding to the object creation request, the response message including at least one flow template matching the application scenario; selecting, according to a selection instruction sent by the object provider, a flow template for a target object corresponding to the object creation request; and implementing, when an interaction request for the target object is received from a data provider, an interactive operation between the object provider and the data provider according to the selected flow template. By means of the technical solutions of this application, configuration and template customization can be performed on a service flow, and a more flexible interactive operation can be implemented.
    Type: Grant
    Filed: November 15, 2017
    Date of Patent: February 11, 2020
    Assignee: ALIBABA GROUP HOLDING LIMITED
    Inventors: Ran Zou, Shuai Zheng, Guqiang Lin
  • Patent number: 10552714
    Abstract: Various embodiments described herein utilize multiple levels of generative adversarial networks (GANs) to facilitate generation of digital images based on user-provided images. Some embodiments comprise a first generative adversarial network (GAN) and a second GAN coupled to the first GAN, where the first GAN includes an image generator and at least two discriminators, and the second GAN includes an image generator and at least one discriminator. According to some embodiments, the (first) image generator of the first GAN is trained by processing a user-provided image using the first GAN. For some embodiments, the user-provided image and the first generated image, generated by processing the user-provided image using the first GAN, are combined to produce a combined image. For some embodiments, the (second) image generator of the second GAN is trained by processing the combined image using the second GAN.
    Type: Grant
    Filed: March 16, 2018
    Date of Patent: February 4, 2020
    Assignee: eBay Inc.
    Inventors: Mohammadhadi Kiapour, Shuai Zheng, Robinson Piramuthu, Omid Poursaeed