Patents by Inventor Zhe Zhang

Zhe Zhang 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: 20240158419
    Abstract: The present invention discloses a heteroatom- and cycloalkyl-containing organic compound and an organic electroluminescent device containing the compound. The general structural formula of the organic compound is as represented by Formula I. The organic compound has a boron-nitrogen structure with multiple resonance effect, wherein a cycloalkyl-containing fluorenyl structure is introduced on the basis of the boron-nitrogen structure. The molecular size is greatly expanded by means of the cycloalkyl group, thereby effectively avoiding a concentration quenching effect, while the molecular orientation is enhanced due to the planarity of the fluorenyl group.
    Type: Application
    Filed: December 11, 2023
    Publication date: May 16, 2024
    Applicant: Shijiazhuang Chengzhi Yonghua Display Material Co., Ltd.
    Inventors: Songyuan LIU, Zaifeng XIE, Zhe SHAO, Jiacheng ZHANG, Jian ZHANG, Tianyu WEI
  • Publication number: 20240158367
    Abstract: A tricyclic compound as represented by formula (I), a preparation method therefor, and an application thereof as an HIF2? inhibitor.
    Type: Application
    Filed: February 23, 2022
    Publication date: May 16, 2024
    Applicants: SHANGHAI JEMINCARE PHARMACEUTICALS CO., LTD, JIANGXI JEMINCARE GROUP CO., LTD
    Inventors: Pingyan BIE, Jianfeng MOU, Jianmin ZHANG, Zhengyong WAN, Qingfang YU, Zhe CHEN, Hongye LI, Jianbiao PENG
  • Publication number: 20240158997
    Abstract: A pavement anti-skid performance evaluation method based on envelope feature is provided. A surface profile image of a to-be-tested piece is acquired as a blank background image. A motion trajectory image of a sliding piece on the to-be-tested piece is acquired. The blank background image is treated to obtain a surface texture profile curve of the to-be-tested piece. The motion trajectory image is differenced with the blank background image to obtain a difference image, which is treated to obtain a trajectory envelope curve of motion of the sliding piece on the to-be-tested piece. An arithmetic mean of the trajectory envelope curve and an arithmetic mean of the surface texture profile curve are calculated, and the anti-skid performance is evaluated based on a height difference ?h between above two arithmetic means. A pavement anti-skid performance evaluation device based on envelope feature is also provided.
    Type: Application
    Filed: January 25, 2024
    Publication date: May 16, 2024
    Inventors: Jiupeng ZHANG, Guojing HUANG, Fucheng GUO, Zhe HU, Zhenxing NIU, Yinzhang HE, Jianzhong PEI, Rui LI
  • Patent number: 11981666
    Abstract: Provided are a GLP-1 receptor agonist compound and a composition and use thereof. The compound can be used for treating or preventing GLP-1 receptor-mediated diseases or disorders and related diseases or disorders.
    Type: Grant
    Filed: September 13, 2023
    Date of Patent: May 14, 2024
    Assignee: HANGZHOU ZHONGMEIHUADONG PHARMACEUTICAL CO., LTD.
    Inventors: Wenqiang Zhai, Zhimin Zhang, Zhe Wang, Hao Pan, Liubin Guo, Qian Wang
  • Patent number: 11983632
    Abstract: The disclosure describes one or more implementations of a neural network architecture pruning system that automatically and progressively prunes neural networks. For instance, the neural network architecture pruning system can automatically reduce the size of an untrained or previously-trained neural network without reducing the accuracy of the neural network. For example, the neural network architecture pruning system jointly trains portions of a neural network while progressively pruning redundant subsets of the neural network at each training iteration. In many instances, the neural network architecture pruning system increases the accuracy of the neural network by progressively removing excess or redundant portions (e.g., channels or layers) of the neural network. Further, by removing portions of a neural network, the neural network architecture pruning system can increase the efficiency of the neural network.
    Type: Grant
    Filed: April 28, 2023
    Date of Patent: May 14, 2024
    Assignee: Adobe Inc.
    Inventors: Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi
  • Publication number: 20240152095
    Abstract: An optical imaging structure includes a reflection structure, a holographic medium, a first display screen and a second display screen. A first angle is arranged between the reflection structure and the first display screen; the second display screen is located directly above the reflection structure, the second display screen is parallel to the reflection structure, and a distance between the second display screen and the reflection structure is greater than the width of the first display screen. The holographic medium is arranged at an inner side of a structure formed by the reflection structure, the first display screen and the second display screen, and a second angle is arranged between the holographic medium and the first display screen. The first angle is 90°, the second angle is 45°.
    Type: Application
    Filed: November 1, 2023
    Publication date: May 9, 2024
    Inventor: Zhe ZHANG
  • Publication number: 20240138678
    Abstract: The present invention discloses a highly reliable implantable device of an implantable biological sensor. Before use, the fixed seat cannot move relative to the slidable seat, achieving reliable transportation. In use, the lower end face of the slidable seat is pressed against the skin; the lower end face of the first snap-fit protrusion squeezes the upper end face of the vertical snap-fit plate; the first snap-fit protrusion is gradually away from the support of the vertical snap-fit plate, whereby the inside vertical face of the vertical snap-fit plate pushes the first snap-fit protrusion inward, and the fixed seat moves downward relative to the slidable seat, achieving good controllability.
    Type: Application
    Filed: May 4, 2023
    Publication date: May 2, 2024
    Inventors: Dan Yan, Sheng Fu, Guanhua Li, Zhe Zhang, Qinglong Dong
  • Patent number: 11973337
    Abstract: This invention relates to the technical field of harmonic elimination for ferromagnetic resonance for a voltage transformer (abbreviated as PT), in particular, to a harmonic elimination method for ferromagnetic resonance for an active resistance-matching voltage transformer based on PID-adjustment, including compiling a resistance matching algorithm; designing and building a harmonic elimination control system based on the PID control strategy; presetting an active resistance-matching strategy; designing an engineering scheme for placing resistors.
    Type: Grant
    Filed: August 17, 2023
    Date of Patent: April 30, 2024
    Assignee: Qujing Power Supply Bureau of Yunnan Power Grid Co., Ltd
    Inventors: Xiaohong Zhu, Lianjing Yang, Fei Mao, Rong Zhang, Yang Yang, Jiangyun Su, Wenfei Feng, Zhe Li, Pengjin Qiu, Jianbin Li, Zhikun Hong, Weirong Yang, Changjiu Zhou, Yingqiong Zhang, Rui Xu, Guibing Duan
  • Publication number: 20240135509
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.
    Type: Application
    Filed: March 27, 2023
    Publication date: April 25, 2024
    Inventors: Qing Liu, Jianming Zhang, Krishna Kumar Singh, Scott Cohen, Zhe Lin
  • Publication number: 20240135510
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.
    Type: Application
    Filed: March 27, 2023
    Publication date: April 25, 2024
    Inventors: Qing Liu, Jianming Zhang, Krishna Kumar Singh, Scott Cohen, Zhe Lin
  • Publication number: 20240135511
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.
    Type: Application
    Filed: March 27, 2023
    Publication date: April 25, 2024
    Inventors: Krishna Kumar Singh, Yijun Li, Jingwan Lu, Duygu Ceylan Aksit, Yangtuanfeng Wang, Jimei Yang, Tobias Hinz, Qing Liu, Jianming Zhang, Zhe Lin
  • Publication number: 20240135512
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.
    Type: Application
    Filed: March 27, 2023
    Publication date: April 25, 2024
    Inventors: Krishna Kumar Singh, Yijun Li, Jingwan Lu, Duygu Ceylan Aksit, Yangtuanfeng Wang, Jimei Yang, Tobias Hinz, Qing Liu, Jianming Zhang, Zhe Lin
  • Publication number: 20240135514
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via multi-layered scene completion techniques facilitated by artificial intelligence. For instance, in some embodiments, the disclosed systems receive a digital image portraying a first object and a second object against a background, where the first object occludes a portion of the second object. Additionally, the disclosed systems pre-process the digital image to generate a first content fill for the portion of the second object occluded by the first object and a second content fill for a portion of the background occluded by the second object. After pre-processing, the disclosed systems detect one or more user interactions to move or delete the first object from the digital image. The disclosed systems further modify the digital image by moving or deleting the first object and exposing the first content fill for the portion of the second object.
    Type: Application
    Filed: September 1, 2023
    Publication date: April 25, 2024
    Inventors: Daniil Pakhomov, Qing Liu, Zhihong Ding, Scott Cohen, Zhe Lin, Jianming Zhang, Zhifei Zhang, Ohiremen Dibua, Mariette Souppe, Krishna Kumar Singh, Jonathan Brandt
  • Patent number: 11965070
    Abstract: The disclosure relates to the field of electronic materials, and in particular to a composite film of fluorinated polybenzoxazole (6FPBO) and triple-shelled mesoporous silica hollow spheres, and to its preparation and use. The composite film comprises fluorinated polybenzoxazole as a matrix and amino-functionalized triple-shelled mesoporous silica hollow spheres which are dispersed in the fluorinated polybenzoxazole matrix. A mass ratio of (amino-functionalized triple-shelled mesoporous silica hollow spheres)/(fluorinated polybenzoxazole) is 1/100 to 5/100. The composite film has excellent thermal stability and a lower dielectric constant.
    Type: Grant
    Filed: November 1, 2021
    Date of Patent: April 23, 2024
    Assignee: East China University of Science and Technology
    Inventors: Qixin Zhuang, Zhe Zhang, Xiaoyun Liu, Jian Xu, Wentao Wang, Zeyang Wu, Xiaohan Wu, Lihui Li
  • Publication number: 20240127452
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.
    Type: Application
    Filed: October 3, 2022
    Publication date: April 18, 2024
    Inventors: Zhe Lin, Haitian Zheng, Elya Shechtman, Jianming Zhang, Jingwan Lu, Ning Xu, Qing Liu, Scott Cohen, Sohrab Amirghodsi
  • Publication number: 20240127410
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.
    Type: Application
    Filed: October 3, 2022
    Publication date: April 18, 2024
    Inventors: Zhe Lin, Haitian Zheng, Elya Shechtman, Jianming Zhang, Jingwan Lu, Ning Xu, Qing Liu, Scott Cohen, Sohrab Amirghodsi
  • Publication number: 20240127412
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.
    Type: Application
    Filed: October 3, 2022
    Publication date: April 18, 2024
    Inventors: Zhe Lin, Haitian Zheng, Elya Shechtman, Jianming Zhang, Jingwan Lu, Ning Xu, Qing Liu, Scott Cohen, Sohrab Amirghodsi
  • Publication number: 20240127411
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.
    Type: Application
    Filed: October 3, 2022
    Publication date: April 18, 2024
    Inventors: Zhe Lin, Haitian Zheng, Elya Shechtman, Jianming Zhang, Jingwan Lu, Ning Xu, Qing Liu, Scott Cohen, Sohrab Amirghodsi
  • Patent number: 11963197
    Abstract: Embodiments of the present invention relate to the field of communications methods and technologies, and in particular, to a transmission method and apparatus. The transmission method includes: generating, by a first device, a sequence based on one or more transmission parameters, where the one or more transmission parameters include at least one of the following: a time domain resource type, transmission waveform indication information, subcarrier spacing indication information, device type information, service type indication information, multiple-input multiple-output MIMO parameter information, duplex mode indication information, control channel format indication information, and transmission carrier indication information; generating to-be-transmitted information by using the sequence; and sending the to-be-transmitted information. According to the transmission method and apparatus in the embodiments of the present invention, a new transmission error check mechanism is provided.
    Type: Grant
    Filed: May 9, 2022
    Date of Patent: April 16, 2024
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Chao Li, Xingwei Zhang, Jie Shi, Yinghua Sun, Zhe Liu
  • Publication number: 20240116906
    Abstract: Provided are a GLP-1 receptor agonist compound and a composition and use thereof. The compound can be used for treating or preventing GLP-1 receptor-mediated diseases or disorders and related diseases or disorders.
    Type: Application
    Filed: September 13, 2023
    Publication date: April 11, 2024
    Inventors: Wenqiang ZHAI, Zhimin ZHANG, Zhe WANG, Hao PAN, Liubin GUO, Qian WANG