Patents by Inventor Dongdong Chen

Dongdong Chen 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).

  • Patent number: 11907719
    Abstract: The present disclosure describes a digital signal processing (DSP) block that includes a plurality of columns of weight registers and a plurality of inputs configured to receive a first plurality of values and a second plurality of values. The first plurality of values is stored in the plurality of columns of weight registers after being received. Additionally, the DSP block includes a plurality of multipliers configured to simultaneously multiply each value of the first plurality of values by each value of the second plurality of values.
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: February 20, 2024
    Assignee: Intel Corporation
    Inventors: Martin Langhammer, Dongdong Chen, Jason R. Bergendahl
  • Patent number: 11810385
    Abstract: A computer-vision method includes recognizing a feature representation of a query image depicting an unknown subject. A similarity score is computed between the representation of the query image and feature representations of a plurality of gallery images collectively depicting two or more different subjects with at least two or more gallery images for each subject, and each gallery image having a label identifying which of the subjects is depicted. One or more updated feature representations of the query image are sequentially iterated based on one or more of the computed similarity scores. For each of the one or more updated feature representations, an updated similarity score is computed between the updated feature representation and the feature representations of each of the gallery images. The unknown subject is identified based on a gallery image having a highest updated similarity score.
    Type: Grant
    Filed: December 28, 2020
    Date of Patent: November 7, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Dongdong Chen, Dengpan Fu, Jingdong Wang, Jianmin Bao
  • Publication number: 20230351558
    Abstract: The disclosure herein describes generating an inpainted image from a masked image using a patch-based encoder and an unquantized transformer. An image including a masked region and an unmasked region is received, and the received image is divided into a plurality of patches including masked patches. The plurality of patches is encoded into a plurality of feature vectors, wherein each patch is encoded to a feature vector. Using a transformer, a predicted token is generated for each masked patch using a feature vector encoded from the masked patch, and a quantized vector of the masked patch is determined using generated predicted token and a masked patch-specific codebook. The determined quantized vector of the masked patch is included into a set of quantized vectors associated with the plurality of patches, and an output image is generated from the set of quantized vectors using a decoder.
    Type: Application
    Filed: April 29, 2022
    Publication date: November 2, 2023
    Inventors: Dongdong CHEN, Xiyang DAI, Yinpeng CHEN, Mengchen LIU, Lu YUAN
  • Publication number: 20230342111
    Abstract: An integrated circuit with specialized processing blocks is provided. A specialized processing block may be optimized for machine learning algorithms and may include a multiplier data path that feeds an adder data path. The multiplier data path may be decomposed into multiple partial product generators, multiple compressors, and multiple carry-propagate adders of a first precision. Results from the carry-propagate adders may be added using a floating-point adder of the first precision. Results from the floating-point adder may be optionally cast to a second precision that is higher or more accurate than the first precision. The adder data path may include an adder of the second precision that combines the results from the floating-point adder with zero, with a general-purpose input, or with other dot product terms. Operated in this way, the specialized processing block provides a technical improvement of greatly increasing the functional density for implementing machine learning algorithms.
    Type: Application
    Filed: June 30, 2023
    Publication date: October 26, 2023
    Inventors: Martin Langhammer, Dongdong Chen, Kevin Hurd
  • Publication number: 20230295109
    Abstract: The present invention relates to compounds of formula (I), (I), wherein R1, R2, R3, R4 and A are as described herein, and their pharmaceutically acceptable salt thereof, and compositions including the compounds and methods of using the compounds.
    Type: Application
    Filed: August 2, 2021
    Publication date: September 21, 2023
    Applicant: Hoffmann-La Roche Inc.
    Inventors: Dongdong CHEN, Fabian DEY, Xin HONG, Xuefei TAN, Jiasu XU, Wei ZHU, Ge ZOU
  • Publication number: 20230279001
    Abstract: The present invention relates to compounds of formula (I), wherein R1, R2, R3, R4, R5 and A are as described herein, and their pharmaceutically acceptable salt thereof, and compositions including the compounds and methods of using the compounds.
    Type: Application
    Filed: August 2, 2021
    Publication date: September 7, 2023
    Applicant: Hoffmann-La Roche Inc.
    Inventors: Dongdong CHEN, Jianguo CHEN, Fabian DEY, Xin HONG, Xuefei TAN, Jiasu XU, Weixing ZHANG, Wei ZHU, Ge ZOU
  • Publication number: 20230257379
    Abstract: This invention relates to indolizine derivatives and their use in medicine. In particular, the present invention discloses novel substituted indolizine derivatives of formula I, or an isotopically labeled compound thereof, or an optical isomer thereof, a geometric isomer thereof, a tautomer thereof or a mixture of various isomers, or a pharmaceutically acceptable salt thereof, or a prodrug thereof. The invention also relates to the use of these compounds in medicine.
    Type: Application
    Filed: April 10, 2023
    Publication date: August 17, 2023
    Inventors: Dong LIU, Dongdong CHEN, Biao DENG, Xiangyun TU, Zinan FANG, Haohao WU, Danyan GU
  • Patent number: 11726744
    Abstract: An integrated circuit with specialized processing blocks is provided. A specialized processing block may be optimized for machine learning algorithms and may include a multiplier data path that feeds an adder data path. The multiplier data path may be decomposed into multiple partial product generators, multiple compressors, and multiple carry-propagate adders of a first precision. Results from the carry-propagate adders may be added using a floating-point adder of the first precision. Results from the floating-point adder may be optionally cast to a second precision that is higher or more accurate than the first precision. The adder data path may include an adder of the second precision that combines the results from the floating-point adder with zero, with a general-purpose input, or with other dot product terms. Operated in this way, the specialized processing block provides a technical improvement of greatly increasing the functional density for implementing machine learning algorithms.
    Type: Grant
    Filed: March 26, 2021
    Date of Patent: August 15, 2023
    Assignee: Intel Corporation
    Inventors: Martin Langhammer, Dongdong Chen, Kevin Hurd
  • Publication number: 20230242527
    Abstract: This invention relates to indolizine derivatives and their use in medicine. In particular, the present invention discloses novel substituted indolizine derivatives of formula I, or an isotopically labeled compound thereof, or an optical isomer thereof, a geometric isomer thereof, a tautomer thereof or a mixture of various isomers, or a pharmaceutically acceptable salt thereof, or a prodrug thereof. The invention also relates to the use of these compounds in medicine.
    Type: Application
    Filed: April 10, 2023
    Publication date: August 3, 2023
    Inventors: Dong LIU, Dongdong CHEN, Biao DENG, Xiangyun TU, Zinan FANG, Haohao WU, Danyan GU
  • Patent number: 11708344
    Abstract: The present invention provides novel compounds having the general formula (Formula I): wherein R1 to R6, G1, G2, A1 to A4 and m are as described herein, compositions including the compounds and methods of using the compounds.
    Type: Grant
    Filed: October 1, 2019
    Date of Patent: July 25, 2023
    Assignee: Hoffmann-La Roche Inc.
    Inventors: Dongdong Chen, Song Feng, Min Jiang, Yongfu Liu, Jiamin Zheng
  • Publication number: 20230219959
    Abstract: The present invention relates to compounds of formula (I), wherein R1 to R3 and n are as described herein, and their pharmaceutically acceptable salt thereof, and compositions including the compounds and methods of using the compounds.
    Type: Application
    Filed: November 17, 2020
    Publication date: July 13, 2023
    Applicant: Hoffmann-La Roche Inc.
    Inventors: Dongdong CHEN, Fabian DEY, Dong DING, Hongtao XU, Wei ZHU, Ge ZOU
  • Patent number: 11655249
    Abstract: This invention relates to indolizine derivatives and their use in medicine. In particular, the present invention discloses novel substituted indolizine derivatives of formula I, or an isotopically labeled compound thereof, or an optical isomer thereof, a geometric isomer thereof, a tautomer thereof or a mixture of various isomers, or a pharmaceutically acceptable salt thereof, or a prodrug thereof. The invention also relates to the use of these compounds in medicine.
    Type: Grant
    Filed: April 23, 2021
    Date of Patent: May 23, 2023
    Assignee: KIND PHARMACEUTICAL
    Inventors: Dong Liu, Dongdong Chen, Biao Deng, Xiangyun Tu, Zinan Fang, Haohao Wu, Danyan Gu
  • Publication number: 20230144399
    Abstract: The present invention provides novel compounds having the general formula: wherein R1 to R11 are as described herein, compositions including the compounds and methods of using the compounds.
    Type: Application
    Filed: December 14, 2018
    Publication date: May 11, 2023
    Applicant: Hoffmann-La Roche Inc.
    Inventors: Song FENG, Zongxing QIU, Guolong WU, Dongdong CHEN, Chao LI
  • Publication number: 20230074887
    Abstract: The present invention provides novel compounds having the general formula (Formula I): wherein R1 to R6, G1, G2, A1 to A4 and m are as described herein, compositions including the compounds and methods of using the compounds.
    Type: Application
    Filed: October 1, 2019
    Publication date: March 9, 2023
    Applicant: Hoffmann-La Roche Inc.
    Inventors: Dongdong CHEN, Song FENG, Min JIANG, Yongfu LIU, Jiamin ZHENG
  • Patent number: 11593615
    Abstract: Image stylization is based on a learning network. A learning network is trained with a plurality of images and a reference image with a particular texture style. A plurality of different sub-networks of the learning network is trained, respectively. Specifically, one of the sub-networks is trained to extract one or more feature maps from the source image and transform the feature maps with the texture style applied thereon to a target image. Each of the feature maps indicates part of feature information of the source image. Another sub-network is trained to apply a specified texture style to the extracted feature maps, such that the target image generated based on the processed feature maps can embody the specified texture style.
    Type: Grant
    Filed: December 12, 2017
    Date of Patent: February 28, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Gang Hua, Lu Yuan, Jing Liao, Dongdong Chen
  • Publication number: 20220388969
    Abstract: The present invention provides novel compounds having the general formula (I) wherein R1 to R6 are as described herein, compositions including the compounds and methods of using the compounds.
    Type: Application
    Filed: September 28, 2020
    Publication date: December 8, 2022
    Applicant: Hoffmann-La Roche Inc.
    Inventors: Dongdong CHEN, Wenming CHEN, Song FENG, Chao LI, Zongxing QIU, Xuefei TAN, Guolong WU
  • Publication number: 20220391621
    Abstract: A system for tracking a target object across a plurality of image frames. The system comprises a logic machine and a storage machine. The storage machine holds instructions executable by the logic machine to calculate a trajectory for the target object over one or more previous frames occurring before a target frame. Responsive to assessing no detection of the target object in the target frame, the instructions are executable to predict an estimated region for the target object based on the trajectory, predict an occlusion center based on a set of candidate occluding locations for a set of other objects within a threshold distance of the estimated region, each location of the set of candidate occluding locations overlapping with the estimated region, and automatically estimate a bounding box for the target object in the target frame based on the occlusion center.
    Type: Application
    Filed: June 4, 2021
    Publication date: December 8, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Dongdong CHEN, Qiankun LIU, Lu YUAN, Lei ZHANG
  • Publication number: 20220388972
    Abstract: The present invention provides compounds having the general formula (I) wherein R1 to R10, Gi, G2, X and m are as described herein, compositions including the compounds and methods of using the compounds for treating hepatitis B.
    Type: Application
    Filed: December 12, 2019
    Publication date: December 8, 2022
    Applicant: Hoffmann-La Roche Inc.
    Inventors: Dongdong CHEN, Song FENG, Yongfu LIU, Xuefei TAN, Jiamin ZHENG
  • Patent number: 11520584
    Abstract: The present disclosure describes a digital signal processing (DSP) block that includes a plurality of columns of weight registers and a plurality of inputs configured to receive a first plurality of values and a second plurality of values. The first plurality of values is stored in the plurality of columns of weight registers after being received. Additionally, the DSP block includes a plurality of multipliers configured to simultaneously multiply each value of the first plurality of values by each value of the second plurality of values.
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: December 6, 2022
    Assignee: Intel Corporation
    Inventors: Martin Langhammer, Dongdong Chen, Jason R. Bergendahl
  • Patent number: 11514261
    Abstract: According to implementations of the subject matter described herein, there is provided an image colorization solution. The solution includes determining a similarity between contents presented in a grayscale source image and a color reference image and determining a col or target image corresponding to the source image based on the similarity. Specifically, a first and a second sets of blocks similar and dissimilar to the reference image are determined based on the similarity; a first color for the first set of blocks is determined based on a color of corresponding blocks in the reference image; a second color for the second set of blocks is determined independently of the reference image. Through this solution, it is possible to provide user controllability and customized effects in colorization, and there is no strict requirement on correspondence between the color image and grayscale image, achieving more robustness to selection of color reference images.
    Type: Grant
    Filed: June 19, 2019
    Date of Patent: November 29, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jing Liao, Lu Yuan, Dongdong Chen, Mingming He