Chinese Academy of Sciences

Shanghai Research Center for Wireless Communications

Google Inc.

Nokia Solutions and Networks Oy

Baidu USA LLC

Shanghai University

General Electric Company

Nokia Corporation

Nokia Technologies Oy

Fudan University

Cisen Pharmaceutical Co., Ltd.

Shanghai Research Centre for Wireless Communications

Shanghai Fixanit Hvac Tech Co., Ltd

Jiang Wang

Jing Xu

Hong Tao Liu

Hualiang Jiang

Kaixian Chen

Yong Teng

Kari Veikko Horneman

Jia Tao Li

Jian Li

Jingya Li

Wei Xu

Yi Yang

Yuanping Zhu

Mingbo Su

Qiaoling Yu

Zhongming Ren

Zhiheng Huang

Yang Song

Hong Li

Charles Joseph Rosenberg

Shengyang Dai

Junhua Mao

Wei Zhu

Jun Wei Zhang

Haifeng Wang

Yu Wang

Xia Li

Yang Xu

Yubo Zhou

Hai-feng Wang

Ling Yu

Tao Peng

Kai Lin Li

Bin Zhou

Zhenhong Li

Ming-Hsuan Yang

Hui Chen

Fei Zhao

Lu Lu

Yong Zhao

Bin Chen

Dan Li

Xu Han

Xiaomin Luo

Dario Serafino Tonesi

Hai-Feng Wang

Hong Liu

Shuni Wang

Shengbin Zhou

Zhenqiang Zhang

Chaoyue Chen

Hao Shen

Ruixin Zhao

Chunpu Li

Hui-yue Yi

Xiao Tong

Horneman Kari

Jing Zhao

Tao Hu

Huiyue Yi

Haonan Yu

Cuijuan Zhou

Yiping Wang

Chenglin Wu

Yi Zang

Weijuan Kan

Shibo Jiang

Yujia Zhang

Lingfeng Wang

Xiaojin Zheng

Jianbo Yu

Joshua Foster Slocum

Dandan Sun

Jingjing Peng

Panfeng Peng

Kan Chen

Yuanyong Yin

Shuangdie Wang

Jie Lian

Xiaojie Jin

Cong Xi

Jianwen Nie

Yong Nian

Shuangjie Shu

Tingsheng Tu

Xiaoxin Zhang

Baojun Wang

Xingfu Ren

Wenhao Dai

Shuai Xia

Sansan Shuai

Jia Li

Yibing Wang

Xubo Gu

A high-energy beam additive manufacturing forming device and forming method, comprising a magnetic field unit for assisting additive forming, and further comprising a forming base () for placing a material () to be processed, and a high-energy beam generation device which emits a high-energy beam, acts on the material () to be processed and forms a molten pool (). The magnetic field unit comprises a first magnetic field generating device (), and the first magnetic field generating device () comprises an induction coil () provided below the molten pool (). The first magnetic field generating device () is detachably provided below a surface, used for containing the material () to be processed, of the forming base (); second magnetic field generating devices () are provided above the forming base ().

High-energy beam additive manufacturing forming device and forming method

A ketoamide compound and a preparation method, a pharmaceutical composition, and a use thereof. Specifically, the ketoamide compound shown in formula (A), a racemate, an enantiomer, or a diastereoisomer thereof, or any mixture of same, or a pharmaceutically active metabolite thereof, or a pharmaceutically acceptable salt, solvate, or prodrug thereof. The ketoamide compound can effectively inhibit coronavirus or Ebola virus, and thereby implement the prevention or treatment of diseases related to coronavirus or diseases related to Ebola virus.

Ketoamide compound and preparation method, pharmaceutical composition, and use thereof

The present disclosure relates to the field of directional solidification, and in particular, to an apparatus, method, and process for directional solidification by liquid metal spraying enhanced cooling (LMSC). The process has the following beneficial effects: the apparatus of the present disclosure can regulate a solidification structure of a casting, refine a dendrite spacing, and reduce or avoid metallurgical defects, and can be used to prepare high-quality large-sized columnar/single crystal blades or other castings.

Apparatus, method, and process for directional solidification by liquid metal spraying enhanced cooling (LMSC)

The present invention relates to the fields of medicinal chemistry and pharmacotherapy, and specifically relates to the chemical compound of formula (I), and its racemate, R-isomer, S-isomer, pharmaceutically acceptable salt, and mixtures thereof, as well as its method for preparation, a pharmaceutical composition containing said chemical compound, and use as a lysine-specific demethylase 1 (LSD 1) inhibitor. The cyclopropylamine chemical compound to which the present invention relates may be used in the treatment of cancer.

Trans-indoline cyclopropylamine chemical compound, and method for preparation, pharmaceutical composition, and use thereof

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for converting unstructured documents to structured key-value pairs. In one aspect, a method includes: providing an image of a document to a detection model, wherein: the detection model is configured to process the image to generate an output that defines one or more bounding boxes generated for the image; and each bounding box generated for the image is predicted to enclose a key-value pair including key textual data and value textual data, wherein the key textual data defines a label that characterizes the value textual data; and for each of the one or more bounding boxes generated for the image: identifying textual data enclosed by the bounding box using an optical character recognition technique; and determining whether the textual data enclosed by the bounding box defines a key-value pair.

Identifying key-value pairs in documents

Disclosed is use of a thieno[3,2-d]pyrimidin-4-one compound represented by general formula (I). Definition of each substituent is as stated in the description and claims, and the compound is used for preparing medicines for treating and/or preventing liver fibrosis and related diseases or preparing a DPP-4 inhibitor, or is used as a DPP-4 inhibitor.

Pharmaceutical use of thiophene [3,2-d] pyrimidine-4-ketone compound

Presented herein are embodiments of a multimodal Recurrent Neural Network (m-RNN) model for generating novel image captions. In embodiments, it directly models the probability distribution of generating a word given a previous word or words and an image, and image captions are generated according to this distribution. In embodiments, the model comprises two sub-networks: a deep recurrent neural network for sentences and a deep convolutional network for images. In embodiments, these two sub-networks interact with each other in a multimodal layer to form the whole m-RNN model. The effectiveness of an embodiment of model was validated on four benchmark datasets, and it outperformed the state-of-the-art methods. In embodiments, the m-RNN model may also be applied to retrieval tasks for retrieving images or captions.

Intelligent image captioning

A laser-solid-forming manufacturing device includes a laser emitter, a magnetic field generator, and a forming platform. The laser emitter emits a laser beam which acts on a feedstock to form a molten pool. The magnetic field generator includes a spiral copper coil, a first electrode and a second electrode. The spiral copper coil is formed by spirally winding a copper tube. The first and second electrodes are arranged at respective ends of the copper tube and are used for loading a voltage to generate a magnetic field in the spiral copper coil. At any time, the spiral copper coil sleeves an action point of the laser beam and the feedstock. A corresponding laser-solid-forming manufacturing method is also presented.

Laser-solid-forming manufacturing device and method

Methods, and systems, including computer programs encoded on computer storage media for neural network architecture search. A method includes defining a neural network computational cell, the computational cell including a directed graph of nodes representing respective neural network latent representations and edges representing respective operations that transform a respective neural network latent representation; replacing each operation that transforms a respective neural network latent representation with a respective linear combination of candidate operations, where each candidate operation in a respective linear combination has a respective mixing weight that is parameterized by one or more computational cell hyper parameters; iteratively adjusting values of the computational cell hyper parameters and weights to optimize a validation loss function subject to computational resource constraints; and generating a neural network for performing a machine learning task using the defined computational cell and the adjusted values of the computational cell hyper parameters and weights.

Resource constrained neural network architecture search

A chaotic stirring device combining plasma arc smelting and permanent magnet including a furnace body; the furnace body is provided therein with a water-cooled copper crucible; the center of an upper surface of the water-cooled copper crucible is a groove for placing raw metals, and the water-cooled copper crucible is internally a hollow cavity; a return pipe is disposed directly below the groove in the hollow cavity; an upper end of the return pipe is vertical upward, and is horizontally provided with a filter screen; a spherical magnet is placed between the filter screen and the groove; one side of the water-cooled copper crucible is provided with a first water inlet pipe and a first water outlet pipe; the first water inlet pipe is connected to the hollow cavity, and the first water outlet pipe is connected to the bottom of the return pipe.

Chaotic stirring device and method combining plasma arc smelting and permanent magnet

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for converting unstructured documents to structured key-value pairs. In one aspect, a method comprises: providing an image of a document to a detection model, wherein: the detection model is configured to process the image to generate an output that defines one or more bounding boxes generated for the image; and each bounding box generated for the image is predicted to enclose a key-value pair comprising key textual data and value textual data, wherein the key textual data defines a label that characterizes the value textual data; and for each of the one or more bounding boxes generated for the image: identifying textual data enclosed by the bounding box using an optical character recognition technique; and determining whether the textual data enclosed by the bounding box defines a key-value pair.

Methods, systems, and apparatus, for determining fine-grained image similarity. In one aspect, a method includes training an image embedding function on image triplets by selecting image triplets of first, second and third images; generating, by the image embedding function, a first, second and third representations of the features of the first, second and third images; determining, based on the first representation of features and the second representation of features, a first similarity measure for the first image to the second image; determining, based on the first representation of features and the third representation of features, a second similarity measure for the the first image to the third image; determining, based on the first and second similarity measures, a performance measure of the image embedding function for the image triplet; and adjusting the parameter weights of the image embedding function based on the performance measures for the image triplets.

Fine-grained image similarity

The present invention relates to phenyl [a]indole[2,3-g]quinolizine compounds represented by formula (I), a preparation method therefor, a pharmaceutical composition, and applications thereof. Specific applications are applications in the preparation of drugs for treating diseases related to a proprotein convertase subtilisin Kexin-9 (PCSK9), comprising the applications in the preparation of drugs for treating hyperlipemia, hypercholesterolemia, hypertriglyceridemia, fatty liver deformation, atherosclerosis, obesity and other metabolic diseases. 

Phenyl [a]indole[2,3-g]quinolizine compounds, preparation method therefor, pharmaceutical composition, and applications thereof

Disclosed is a method for synthesizing a novel chiral ligand, a metal chelate, a variety of non-natural amino acids, Maraviroc and a key intermediate thereof. In the invention, (R)-2-methyl proline is selected and used as a starting raw material, (S)-&#x3b2;-amino acid is obtained by asymmetric resolution induced by using a nickel chelate, and Maraviroc is synthesized by using (S)-3-amino-3-phenylpropionic acid as a key intermediate with a high yield and the ee value reaching 98.2% or more. The method of the present invention has widely available materials, mild synthetic process conditions, is easy to control, and produces a product of a high optical purity.

Method for synthesizing novel chiral ligand, metal chelate, a variety of non-natural amino acids, maraviroc and key intermediate thereof

Provided is a fluorinated cyclopropylamine compound represented by formula I, a racemate thereof, an R-isomer thereof, an S-isomer thereof, a pharmaceutical salt thereof, and a mixture thereof. Also provided are pharmaceutical compositions containing the compound, a preparation method for the compound, and uses thereof as a lysine specific demethylase 1 (LSD1) inhibitor, and in the treatment of cancers. 

Fluorinated cyclopropylamine compound, preparation method therefor, pharmaceutical composition thereof, and uses thereof

Growing community of inventors

Shanghai, China

Jiang Wang