公开(公告)号：US11741053B2

公开(公告)日：2023-08-29

申请号：US17144094

申请日：2021-01-07

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Shu Yin ,  Tongliang Deng

IPC: G06F16/18 ,  G06F16/14 ,  G06F16/178 ,  G06F16/185

CPC classification number: G06F16/1847 ,  G06F16/148 ,  G06F16/178 ,  G06F16/185

Abstract: This application provides a data management system, method, terminal, and medium based on hybrid storage. The data management system includes: a first file system mount module, to mount at least one user-mode file system; a second file system mount module, to mount at least two independent back-end file systems based on the user-mode file system for storing hot data and cold data respectively; a data label module, to label the hot or cold attribute of the data in a user data request; a file system selection module, to store the data in the corresponding back-end file system and/or take the data out from the corresponding back-end file system according to the hot or cold attribute of the data.

公开(公告)号：US20230220370A1

公开(公告)日：2023-07-13

申请号：US18178554

申请日：2023-03-06

Applicant: ShanghaiTech University

Inventor： Chao Zhong ,  Bolin An ,  Yanyi Wang ,  Xiaoyu Jiang

IPC: C12N11/04 ,  C12N15/70 ,  C12N15/63 ,  C12N9/02 ,  C07K14/435 ,  C09J189/00 ,  C07K14/245

CPC classification number: C12N11/04 ,  C12N15/70 ,  C12N15/635 ,  C12Y114/18001 ,  C12N9/0071 ,  C07K14/43504 ,  C09J189/00 ,  C07K14/245 ,  C12N2800/101

Abstract: A living engineered glue system for performing autonomous mechanical repairs comprises a biofilm of microbial cells embedded in an extracellular matrix and operably linked in an environmentally-inducible, cell-cell communication genetic circuit to control gene expression.

公开(公告)号：US20230195793A1

公开(公告)日：2023-06-22

申请号：US17799278

申请日：2021-09-22

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Guangyao YAN ,  Xinzhe LIU ,  Yajun HA ,  Hui WANG

IPC: G06F16/901

CPC classification number: G06F16/9024

Abstract: A ripple push method for a graph cut includes: obtaining an excess flow ef(v) of a current node v; traversing four edges connecting the current node v in top, bottom, left and right directions, and determining whether each of the four edges is a pushable edge; calculating, according to different weight functions, a maximum push value of each of the four edges by efw=ef(v)*W, where W denotes a weight function; and traversing the four edges, recording a pushable flow of each of the four edges, and pushing out a calculated flow. The ripple push method explores different push weight functions, and significantly improves the actual parallelism of the push-relabel algorithm.

公开(公告)号：US11639343B2

公开(公告)日：2023-05-02

申请号：US17015319

申请日：2020-09-09

Applicant: ShanghaiTech University

Inventor： Xiaobao Yang ,  Biao Jiang ,  Qianqian Yin ,  Jinju Chen ,  Quanju Zhao ,  Chaowei Ren ,  Renhong Sun ,  Ning Sun ,  Xing Qiu ,  Ying Kong ,  Yan Li ,  Linyi Liu

IPC: C07D401/14 ,  C07D417/14 ,  A61P35/02 ,  A61K45/06

Abstract: The present disclosure provides a compound of formula (I) targeting and degrading BCR-ABL protein and its use in the field of antitumor. The compound of formula (I) shows degradation and inhibitory effects on BCR-ABL target protein, which is mainly comprised of four moieties, wherein the first moiety (BCR-ABL-TKIs) is compound moiety with BCR-ABL tyrosine kinase inhibited activity; the second moiety (the LIN) is link units; the third moiety (the ULM) is a small molecule ligand for VHL or CRBN proteases with ubiquitination; and the four moiety (the group A) is carbonyl group that covalently binds to BCR-ABL-TKIs and LIN, and the LIN is further covalently bonded to ULM. A series of compounds designed and synthesized by the present disclosure shows extensive pharmacological effective, which function to degrade BCR-ABL protein and inhibit BCR-ABL effective, and can be utilized for treating relevant tumor.

公开(公告)号：US20230071559A1

公开(公告)日：2023-03-09

申请号：US17980754

申请日：2022-11-04

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Cen WANG ,  Jingyi Yu

IPC: G06T15/50 ,  G06T15/20 ,  G06T7/55 ,  G06T7/80 ,  G06T7/194

Abstract: A method of rendering an object is provided. The method comprises: encoding a feature vector to each point in a point cloud for an object, wherein the feature vector comprises an alpha matte; projecting each point in the point cloud and the corresponding feature vector to a target view to compute a feature map; and using a neural rendering network to decode the feature map into a RGB image and the alpha matte and to update the feature vector.

公开(公告)号：US20230028221A1

公开(公告)日：2023-01-26

申请号：US17773554

申请日：2020-11-02

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Wei Qi ,  Haizhen Zhang ,  Xin Ma ,  Hui Lei ,  Yuhua George Zhang ,  Yuxiu Qu

IPC: C07D487/04 ,  A61K31/519 ,  A61K31/5377 ,  A61P35/00

Abstract: The present invention relates to a compound of formula (X) or a tautomer, stereoisomer, prodrug, crystal form, pharmaceutically acceptable salt, hydrate or solvate thereof, and a pharmaceutical composition containing the compound and a use.

公开(公告)号：US20230027234A1

公开(公告)日：2023-01-26

申请号：US17951405

申请日：2022-09-23

Applicant: Shanghaitech University

Inventor： Minye WU ,  Jingyi YU

IPC: G06T17/20 ,  G06T7/593 ,  H04N13/207 ,  G06K9/62 ,  G06T15/04 ,  G06T15/20

Abstract: An image-based method of modeling and rendering a three-dimensional model of an object is provided. The method comprises: obtaining a three-dimensional point cloud at each frame of a synchronized, multi-view video of an object, wherein the video comprises a plurality of frames; extracting a feature descriptor for each point in the point cloud for the plurality of frames without storing the feature descriptor for each frame; producing a two-dimensional feature map for a target camera; and using an anti-aliased convolutional neural network to decode the feature map into an image and a foreground mask.

公开(公告)号：US11537774B2

公开(公告)日：2022-12-27

申请号：US17595194

申请日：2021-06-09

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Rui Li ,  Yajun Ha

IPC: G06F30/34 ,  G06F30/337 ,  G06F30/3323

Abstract: An optimized reconfiguration algorithm based on dynamic voltage and frequency scaling (DVFS) is provided, which mainly has the following contributions. The optimized reconfiguration algorithm based on DVFS proposes a DVFS-based reconfiguration method, which schedules user tasks according to a degree of parallelism (DOP) of the user tasks so as to reconfigure more parallel user tasks, thereby achieving higher reliability. The optimized reconfiguration algorithm based on DVFS proposes a K-means-based heuristic approximation algorithm, which minimizes the delay of the DVFS-based reconfiguration scheduling algorithm. The optimized reconfiguration algorithm based on DVFS proposes a K-means-based method, which reduces memory overhead caused by DVFS-based reconfiguration scheduling. The optimized reconfiguration algorithm based on DVFS improves the reliability of a field programmable gate array (FPGA) system and minimizes the area overhead of a hardware circuit.

公开(公告)号：US20220332835A1

公开(公告)日：2022-10-20

申请号：US17640309

申请日：2020-09-03

Applicant: ShanghaiTech University

Inventor： Guang Yang ,  Xiaojie Shi

IPC: C07K16/28 ,  A61P35/00

Abstract: Provided are anti-CXCR2 antibodies and antigen-binding fragments thereof. The antibodies or fragments thereof specifically bind to N-terminal, extracellular domain of the CXCR2 protein. In various example, the antibodies or fragments thereof include a VH CDR1 of SEQ ID NO: 1, a VH CDR2 of SEQ ID NO: 2, a VH CDR3 of SEQ ID NO: 3, or any one of SQ ID NO: 7-14, a VL CDR1 of SEQ ID NO: 4, a VL CDR2 of SEQ ID NO: 5, and a VL CDR3 of SEQ ID NO: 6, or variants of each thereof. Methods of using the antibodies or fragments thereof for treating and diagnosing diseases such as cancer and inflammatory diseases are also provided.

公开(公告)号：US11430200B2

公开(公告)日：2022-08-30

申请号：US17593852

申请日：2021-06-09

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Hao Sun ,  Yajun Ha

IPC: G06V10/22 ,  G06V20/50 ,  G06T7/10

Abstract: An efficient K-nearest neighbor search algorithm for three-dimensional (3D) lidar point cloud in unmanned driving and a use of the foregoing K-nearest neighbor search algorithm in a point cloud map matching process in the unmanned driving are provided. A novel data structure for fast K-nearest neighbor search is used, such that each voxel or sub-voxel includes a proper quantity of points to reduce redundant search. The novel K-nearest neighbor search algorithm is based on a double segmentation voxel structure (DSVS) and a field programmable gate array (FPGA). By means of the novel K-nearest neighbor search algorithm, nearest neighbors are searched for only in a neighboring expected area near a search point, thereby reducing search of redundant points. In addition, an optimized data transmission and access policy is used, which makes the algorithm more fit the characteristic of the FPGA.