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    SYSTEMS AND METHODS FOR ELECTRON CRYOTOMOGRAPHY RECONSTRUCTION
    61.
    发明申请
    SYSTEMS AND METHODS FOR ELECTRON CRYOTOMOGRAPHY RECONSTRUCTION 有权

    公开(公告)号：US20240412377A1

    公开(公告)日：2024-12-12

    申请号：US18542803

    申请日：2023-12-18

    Applicant: SHANGHAITECH UNIVERSITY

    Inventor： Peihao WANG ,  Jiakai ZHANG ,  Xinhang LIU ,  Zhijie LIU ,  Jingyi YU

    IPC: G06T7/149 ,  G06T9/00 ,  G06T15/10

    Abstract: Described herein are methods and non-transitory computer-readable media of a computing system configured to obtain a plurality of images of an object from a plurality of orientations at a plurality of times. A machine learning model is encoded to represent a continuous density field of the object that maps a spatial coordinate to a density value. The machine learning model comprises a deformation module configured to deform the spatial coordinate in accordance with a timestamp and a trained deformation weight. The machine learning model further comprises a neural radiance module configured to derive the density value in accordance with the deformed spatial coordinate, the timestamp, a direction, and a trained radiance weight. The machine learning model is trained using the plurality of images. A three-dimensional structure of the object is constructed based on the trained machine learning model.

    Multi-core Acceleration of Neural Rendering
    62.
    发明公开
    Multi-core Acceleration of Neural Rendering 审中-公开

    公开(公告)号：US20240281256A1

    公开(公告)日：2024-08-22

    申请号：US18646818

    申请日：2024-04-26

    Applicant: SHANGHAITECH UNIVERSITY

    Inventor： Yuhan GU ,  Chaolin RAO ,  Minye WU ,  Xin LOU ,  Pingqiang ZHOU ,  Jingyi YU

    IPC: G06F9/38 ,  G06T1/20 ,  G06T15/00

    CPC classification number: G06F9/3885 ,  G06T1/20 ,  G06T15/005

    Abstract: A computing core for rendering an image computing core comprises a position encoding logic and a plurality of pipeline logics connected in series in a pipeline. The position encoding logic is configured to transform coordinates and directions of sampling points corresponding to a portion of the image into high dimensional representations. The plurality of pipeline logics are configured to output, based on the high dimensional representation of the coordinates and the high dimensional representation of the directions, intensity and color values of pixels corresponding to the portion of the image in one pipeline cycle. The plurality of pipeline logics are configured to run in parallel.

    TOPICAL COMPOSITIONS AND USES
    67.
    发明公开
    TOPICAL COMPOSITIONS AND USES 审中-公开

    公开(公告)号：US20240018196A1

    公开(公告)日：2024-01-18

    申请号：US18451700

    申请日：2023-08-17

    Applicant: ShanghaiTech University

    Inventor： Jia Liu ,  Biao Jiang

    IPC: C07K14/33 ,  C07K19/00

    CPC classification number: C07K14/33 ,  C07K19/00 ,  A61K38/00

    Abstract: The present disclosure provides chimeric polypeptides that include one or more zinc finger motif fused to a therapeutic peptide such as botulinum neurotoxins (BoNTs). The zinc finger motif may be located at the C-terminal side of the BoNT and the chimeric polypeptide can optionally include two or more such zinc finger motifs. It is shown that the disclosed chimeric polypeptides can be efficiently delivered to a subject transdermally.

    Enhanced dynamic random access memory (eDRAM)-based computing-in-memory (CIM) convolutional neural network (CNN) accelerator
    68.
    发明授权
    Enhanced dynamic random access memory (eDRAM)-based computing-in-memory (CIM) convolutional neural network (CNN) accelerator 有权

    公开(公告)号：US11875244B2

    公开(公告)日：2024-01-16

    申请号：US18009341

    申请日：2022-08-05

    Applicant: SHANGHAITECH UNIVERSITY

    Inventor： Hongtu Zhang ,  Yuhao Shu ,  Yajun Ha

    IPC: G06N3/0464 ,  G06F5/16

    CPC classification number: G06N3/0464 ,  G06F5/16

    Abstract: An enhanced dynamic random access memory (eDRAM)-based computing-in-memory (CIM) convolutional neural network (CNN) accelerator comprises four P2ARAM blocks, where each of the P2ARAM blocks includes a 5T1C ping-pong eDRAM bit cell array composed of 64×16 5T1C ping-pong eDRAM bit cells. In each of the P2ARAM blocks, 64×2 digital time converters convert a 4-bit activation value into different pulse widths from a row direction and input the pulse widths into the 5T1C ping-pong eDRAM bit cell array for calculation. A total of 16×2 convolution results are output in a column direction of the 5T1C ping-pong eDRAM bit cell array. The CNN accelerator uses the 5T1C ping-pong eDRAM bit cells to perform multi-bit storage and convolution in parallel. An S2M-ADC scheme is proposed to allot an area of an input sampling capacitor of an ABL to sign-numerical SAR ADC units of a C-DAC array without adding area overhead.

    System and method for extracting planar surface from depth image
    69.
    发明授权
    System and method for extracting planar surface from depth image 有权

    公开(公告)号：US11861840B2

    公开(公告)日：2024-01-02

    申请号：US17219555

    申请日：2021-03-31

    Applicant: SHANGHAITECH UNIVERSITY

    Inventor： Ziran Xing ,  Zhiru Shi ,  Yi Ma ,  Jingyi Yu

    IPC: G06T7/11 ,  G06T7/162 ,  G06T7/187 ,  G06T7/50

    CPC classification number: G06T7/11 ,  G06T7/162 ,  G06T7/187 ,  G06T7/50 ,  G06T2207/10028

    Abstract: According to some embodiments, an imaging processing method for extracting a plurality of planar surfaces from a depth map includes computing a depth change indication map (DCI) from a depth map in accordance with a smoothness threshold. The imaging processing method further includes recursively extracting a plurality of planar region from the depth map, wherein the size of each planar region is dynamically adjusted according to the DCI. The imaging processing method further includes clustering the extracted planar regions into a plurality of groups in accordance with a distance function; and growing each group to generate pixel-wise segmentation results and inlier points statistics simultaneously.

    FUSION PROTEIN AND USE THEREOF IN BASE EDITING
    70.
    发明公开
    FUSION PROTEIN AND USE THEREOF IN BASE EDITING 审中-公开

    公开(公告)号：US20230313205A1

    公开(公告)日：2023-10-05

    申请号：US18150778

    申请日：2023-01-05

    Applicant: ShanghaiTech University

    Inventor： Yajing LIU ,  Shisheng HUANG ,  Xingxu HUANG

    IPC: C12N15/62 ,  C07K14/775 ,  C12N9/22

    CPC classification number: C12N15/625 ,  C07K14/775 ,  C12N9/22 ,  C07K2319/09

    Abstract: A fusion protein which may comprise a first nCas9 fragment, a chimeric insertion fragment, a second nCas9 fragment and two UGI fragments from N-terminus to C-terminus, wherein the chimeric insertion fragment is selected from APOBEC1 fragment or APOBEC3A fragment for cytosine deamination at the target site. The fusion protein may comprise a first nCas9 fragment, a chimeric insertion fragment and a second nCas9 fragment from N-terminus to C-terminus, wherein the chimeric insertion fragment is TadA-TadA* for cytosine deamination at the target site. The present disclosure provides a novel base editing tool that is compatible with insertion of various deaminases on the chimeric sites of nCas9. Compared with nCas9 terminal fusion base editor, the base editing tool of the present invention significantly reduce off-targeting on both DNA and RNA, while maintaining specific targeted base editing efficiency, with higher specificity and favorable industrialization prospects.

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