公开(公告)号：US11771709B2

公开(公告)日：2023-10-03

申请号：US16902172

申请日：2020-06-15

Applicant: ShanghaiTech University

Inventor： Xiaobao Yang ,  Biao Jiang ,  Xiaoling Song ,  Haifan Lin ,  Ning Sun ,  Jinju Chen ,  Xing Qiu ,  Chaowei Ren ,  Ying Kong

IPC: A61K31/662 ,  A61P35/00 ,  A61K31/4439 ,  A61K31/454 ,  A61K31/496 ,  A61K31/501 ,  A61K31/506 ,  A61K31/519 ,  A61K45/06

CPC classification number: A61K31/662 ,  A61K31/4439 ,  A61K31/454 ,  A61K31/496 ,  A61K31/501 ,  A61K31/506 ,  A61K31/519 ,  A61P35/00 ,  A61K45/06

Abstract: A compound of formula (I) and its antitumor application are disclosed. The compounds of formula (I) have degradation and inhibitory effects on ALK target proteins. They are mainly composed of four parts: the first part, ALK-TKI, being compounds with ALK tyrosine kinase inhibitory activity; the second part, LIN, being different kinds of linker (Linker); the third part, the ULM, being a small molecule ligand (ULM, ubiquitin ligase binding moiety) with ubiquitination of VHL, CRBN or other proteases; and the fourth part, the group A, being a carbonyl group or absent, which covalently bond ALK-TKI to LIN, wherein LIN and ULM are covalently bonded. A series of compounds designed and synthesized by the present disclosure have wide pharmacological activities, have functions of degrading ALK protein and inhibiting ALK activity, and can be used for related tumor treatment.

公开(公告)号：US20230295023A1

公开(公告)日：2023-09-21

申请号：US18067732

申请日：2022-12-19

Applicant: ShanghaiTech University

Inventor： Chao Zhong ,  Jiahua Pu ,  Yi Liu

IPC: C02F1/68 ,  C02F1/50

CPC classification number: C02F1/683 ,  C02F1/50 ,  C02F2101/10

Abstract: A living engineered biofilm material comprises microbial cells embedded in a protective extracellular matrix comprising a fusion protein of an amyloid domain and a contaminant binding domain operative to bind a contaminant of a water source, and thereby facilitate decontamination of the water source.

公开(公告)号：US11762015B2

公开(公告)日：2023-09-19

申请号：US17801266

申请日：2021-09-22

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Weixiong Jiang ,  Yajun Ha

IPC: G01R31/317

CPC classification number: G01R31/31725

Abstract: A full-path circuit delay measurement device for a field-programmable gate array (FPGA) and a measurement method are provided. The measurement device includes two shadow registers and a phase-shifted clock, where the two shadow registers take an output of a measured combinational logic circuit as a clock and sample the phase-shifted clock SCLK as data; the two shadow registers are respectively triggered on rising and falling edges of the output of the measured combinational logic circuit to sample the phase-shifted clock; outputs of the two shadow registers are delivered by an OR gate as an input into a synchronization register; a clock of the synchronization register serves as a clock MCLK of the measured combinational logic circuit; an output of the synchronization register serves as that of the circuit delay measurement device; the phase-shifted clock SCLK and the clock MCLK of the measured combinational logic circuit have the same frequency.

公开(公告)号：US20230273318A1

公开(公告)日：2023-08-31

申请号：US17884273

申请日：2022-08-09

Applicant: XIAMEN UNIVERSITY ,  SHANGHAITECH UNIVERSITY

Inventor： Cheng WANG ,  Jialian LI ,  Lan XU ,  Chenglu WEN ,  Jingyi YU

IPC: G01S17/89 ,  G01S17/86 ,  G06N20/00

CPC classification number: G01S17/89 ,  G01S17/86 ,  G06N20/00

Abstract: Described herein are systems and methods for training machine learning models to generate three-dimensional (3D) motions based on light detection and ranging (LiDAR) point clouds. In various embodiments, a computing system can encode a machine learning model representing an object in a scene. The computing system can train the machine learning model using a dataset comprising synchronous LiDAR point clouds captured by monocular LiDAR sensors and ground-truth three-dimensional motions obtained from IMU devices. The machine learning model can be configured to generate a three-dimensional motion of the object based on an input of a plurality of point cloud frames captured by a monocular LiDAR sensor.

公开(公告)号：US20230197154A1

公开(公告)日：2023-06-22

申请号：US17802968

申请日：2021-09-22

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Jian CHEN ,  Yajun HA

IPC: G11C15/04

CPC classification number: G11C15/04

Abstract: A static random-access memory (SRAM) cell for high-speed content-addressable memory (CAM) and in-memory Boolean logic operations includes a standard 6T-SRAM and two additional PMOS access transistors, where read word lines of the two positive-channel metal oxide semiconductor (PMOS) access transistors P1 and P2 are RWLR and RWLL respectively, and under the control thereof, a differential read port RBL/RBL is formed. The SRAM cell is suitable for multi-row address selection, and typically applied to in-memory high-speed CAM and in-memory Boolean logic operations. Due to PMOS device characteristics, the structure design of the SRAM cell can avoid read disturbance generated by an in-memory SRAM, and ensure that the SRAM can perform in-memory CAM and in-memory Boolean logic operations stably at a high speed. In addition, this SRAM-based IMC solution supports commercial CMOS technology, and has an opportunity to leverage a large number of existing on-chip SRAM caches.

公开(公告)号：US20230196095A1

公开(公告)日：2023-06-22

申请号：US17799933

申请日：2021-09-22

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Weixiong JIANG ,  Yajun HA

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: A pure integer quantization method for a lightweight neural network (LNN) is provided. The method includes the following steps: acquiring a maximum value of each pixel in each of the channels of the feature map of a current layer; dividing a value of each pixel in each of the channels of the feature map by a t-th power of the maximum value, t∈[0,1]; multiplying a weight in each of the channels by the maximum value of each pixel in each of the channels of the corresponding feature map; and convolving the processed feature map with the processed weight to acquire the feature map of a next layer. The algorithm is verified on SkyNet and MobileNet respectively, and lossless INT8 quantization on SkyNet and maximum quantization accuracy so far on MobileNetv2 are achieved.

公开(公告)号：US20230192123A1

公开(公告)日：2023-06-22

申请号：US17802148

申请日：2021-09-22

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Qi DENG ,  Hao SUN ,  Yajun HA ,  Hui WANG

IPC: B60W60/00

CPC classification number: B60W60/001 ,  B60W2420/52 ,  B60W2554/4049

Abstract: A normal distributions transform (NDT) method for LiDAR point cloud localization in unmanned driving is provided. The method proposes a non-recursive, memory-efficient data structure occupation-aware-voxel-structure (OAVS), which speeds up each search operation. Compared with a tree-based structure, the proposed data structure OAVS is easy to parallelize and consumes only about 1/10 of memory. Based on the data structure OAVS, the method proposes a semantic-assisted OAVS-based (SEO)-NDT algorithm, which significantly reduces the number of search operations, redefines a parameter affecting the number of search operations, and removes a redundant search operation. In addition, the method proposes a streaming field-programmable gate array (FPGA) accelerator architecture, which further improves the real-time and energy-saving performance of the SEO-NDT algorithm. The method meets the real-time and high-precision requirements of smart vehicles for three-dimensional (3D) lidar localization.

公开(公告)号：US20220309217A1

公开(公告)日：2022-09-29

申请号：US17595194

申请日：2021-06-09

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Rui LI ,  Yajun HA

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

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：US11435301B2

公开(公告)日：2022-09-06

申请号：US16613801

申请日：2018-05-25

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Yong Yang ,  Zebang Liu ,  Jerry Pui Ho Li ,  Evgeny Vovk

IPC: G01N23/207 ,  H01J49/04 ,  H01J49/24

Abstract: A reaction control and mass spectrometry workstation for coupling an X-ray spectroscopic characterization instrument with an in-situ reaction cell, including a reactant gas composition control module and an online gas composition analyzing module. The workstation further involves a modification based on the original vacuum pipeline section. After the modification, the original vacuum pipeline section is connected to three customized gas ports, and the modification is characterized in that the vacuum manifold unit is additionally provided with a mass spectrometer sampling port, a sampling capillary, and control valves. The present disclosure has the following advantages. The sampling time delay can be ignored in the mass spectrometry, and the sampling is continuous real-time in-situ analysis with high time resolution. Under the working conditions of the X-ray spectroscopic characterization instrument, the electronic structure/crystal structure information and the precise information of the ambient gas composition are obtained simultaneously.

公开(公告)号：US20220213176A1

公开(公告)日：2022-07-07

申请号：US17702710

申请日：2022-03-23

Applicant: ShanghaiTech University ,  ShOx Science Limited

Inventor： Peixiang Ma ,  Guang Yang ,  Richard A. Lerner ,  Min Qiang ,  Hou Wang

IPC: C07K16/10 ,  A61P31/14

Abstract: The present disclosure provides human antibodies and fragments thereof having binding specificity to the SARS-CoV-2 spike protein's receptor binding domain (RBD). The antibodies and fragments have strong affinity and potent neutralization ability against the SARS-CoV-2 virus and various mutant forms. Also provided are trimeric antibodies which have further enhanced neutralization capabilities. The antibodies and fragments thus may be used for preventing or treating SARS-CoV-2 viral infection or detecting the presence of the virus in a sample.