Beijing Boe Display Technology Co., Ltd.

Boe Technology Group Co., Ltd.

International Business Machines Corporation

Beijing Baidu Netcom Science and Technology Co., Ltd.

Tsinghua University

Nuctech Company Limited

Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Boe Technology Development Co., Ltd.

Peking University

Sony Corporation

Intel Corporation

Hewlett Packard Enterprise Development LP

Sony Group Corporation

China University of Mining and Technology (CUMT)

Beijing Jingdong Shangke Information Technology Co., Ltd.

Yi Liu

Hao Xu

Yu Zhang

Shijun Wang

Yang Wang

Bo Feng

Dianhai Yu

Jun Fan

Li Tian

Xiaoxiao Chen

Yingzi Wang

Wenjun Xiao

Yu Sun

Zhiying Bao

Yin Xia

Gang Huang

Su Liu

Hua Wang

Yuanjing Li

Chen Sun

Peng Hui Jiang

Haifeng Wang

Rajesh M Sankaran

Hao Liu

Xibin Shao

Tao Chen

Jiantao Liu

Bo Yang

Tao Ma

Cheng Xu

Peng Li

Kun Tian

Yanping Liao

Jun Su

Sanjay Kumar

Yu Cao

Zheng Li

Jia Qi Li

Zhi Zhuang

Philip R Lantz

Ashok Raj

Tao Cui

Shi Lei Zhang

Wei Xu

Yong Qin

Dongchuan Chen

Jing Yang

Xiaofeng Yin

Seungmin Lee

Qing Bo Wang

Tingting Zhao

Yan Chen

Wenkai Mu

Zhan Wei

Xinlan Yang

Tengfei Ding

Yanjun Ma

Daxiang Dong

Yigang Yang

Bingqing Yang

Tianxin Zhao

Qinjian Zhang

Yun Ma

Chengfu Xu

Haoliang Ji

Qin Shi

Jiguo Wang

Yingying Qu

Ying Zhou

Lijun Zhang

Ji Dong

Yukun Li

Xuanzhe Liu

Jian Wen

Yongqiang Wang

Zhipeng Zhou

Xiaoguang Hu

Jinsong Wang

Yuning Du

Hao Song

Ju Ling Liu

Ruichen Zhang

Xingwen Chen

Jiao Li

Ying Cao

Qiwen Liu

Terry Ping-Chung Lee

Guangshuang Lv

Guoxin Zhang

Zhe Li

Lingdan Bo

Kun Yao

Xiang Juan Meng

Xiaoqing Peng

Zhi Wei Shuang

Long Yan

Fei Wei

Hejun Zhou

Zuze Wu

An array substrate, a shift register unit and a display apparatus are provided. The array substrate includes data lines, gate lines, first control signal lines and sub-pixels. The sub-pixel includes a first sub-pixel portion including a first pixel electrode and a first transistor, and a second sub-pixel portion including a second pixel electrode, a second transistor and a third transistor; the first transistor is connected with the first pixel electrode the second transistor and the third transistor are connected with the second pixel electrode, the first transistor and the second transistor are connected with a same gate line and a same data line, and the third transistor is connected with the first control signal line. The second sub-pixel portion includes an adjustable capacitor connecting with the third transistor, and the array substrate further includes a second control signal line connected with the adjustable capacitor.

Array substrate, shift register unit and display apparatus

A display panel and a display device are provided. The display panel includes: a primary contour defining an active display region and including first portions extending non-linearly, a secondary contour inside the primary contour and including second portions extending non-linearly; the primary contour is an outer contour after the display panel is lightened; pixels in the active display region include pixels of first type inside the secondary contour, pixels of second type intersecting the second portion, and pixels of third type intersecting the first portion and outside the secondary contour; an aperture ratio of pixels of third type is smaller than that of pixels of first type, an aperture ratio of at least part of pixels of second type is positively correlated with an area of a part, inside the secondary contour, of each pixel of second type.

Display panel comprising a primary contour line defining an active display region and a closed secondary contour line and display device

A session recommendation method, a device and an electronic device are provided, related to the field of graph neural network technology. The session recommendation method includes: acquiring a session control sequence, and acquiring a first embedding vector matrix based on an embedding vector of each of items in the session control sequence; generating a position information sequence based on an arrangement sequence of the items in the session control sequence, and acquiring a second embedding vector matrix based on an embedding vector of each piece of position information in the position information sequence; determining a target embedding vector matrix based on the first embedding vector matrix and the second embedding vector matrix; and determining a recommended item, based on the target embedding vector matrix and through a Session-based Recommendation Graph Neural Network.

Session recommendation method, device and electronic equipment

The present application discloses a distributed training method and system, a device and a storage medium, and relates to technical fields of deep learning and cloud computing. The method includes: sending, by a task information server, a first training request and information of an available first computing server to at least a first data server; sending, by the first data server, a first batch of training data to the first computing server, according to the first training request; performing, by the first computing server, model training according to the first batch of training data, sending model parameters to the first data server so as to be stored after the training is completed, and sending identification information of the first batch of training data to the task information server so as to be recorded; wherein the model parameters are not stored at any one of the computing servers.

Distributed training method and system, device and storage medium

The present disclosure provides an image processing method and apparatus, and relates to the field of image processing, and in particular to the field of image annotation. An implementation is: obtaining an image to be processed including a target region to be annotated; in response to a first click on the target region, performing a first operation to expand a predicted region for the target region based on a click position of the first click; in response to a second click in a position where the predicted region exceeds the target region, performing a second operation to reduce the predicted region based on a click position of the second click; and in response to determining that a difference between the predicted region and the target region meets a preset condition, obtaining an outline of the predicted region to annotate the target region.

Image processing

The present disclosure provides a method for training a feature extraction model, a method for classifying an image and related apparatuses, and relates to the field of artificial intelligence technology such as deep learning and image recognition. The scheme comprises: extracting an image feature of each sample image in a sample image set using a basic feature extraction module of an initial feature extraction model, to obtain an initial feature vector set; performing normalization processing on each initial feature vector in the initial feature vector set using a normalization processing module of the initial feature extraction model, to obtain each normalized feature vector; and guiding training for the initial feature extraction model through a preset high discriminative loss function, to obtain a target feature extraction model as a training result.

Method for training feature extraction model, method for classifying image, and related apparatuses

The disclosure provides a display device and a holographic display apparatus. The display device includes a display panel including a first linear polarizer located on a light-emitting side, so that the display panel emits linearly polarized image light; and a phase modulation panel disposed on the light-emitting side of the display panel and configured to perform phase modulation on the linearly polarized image light. The holographic display apparatus includes the display device.

Display device and holographic display apparatus

The disclosure discloses a conversation-based recommending method. A directed graph corresponding to a current conversation is obtained. The current conversation includes clicked items, the directed graph includes nodes and directed edges between the nodes, each node corresponds to a clicked item, and each directed edge indicates relationship data between the nodes. For each node of the directed graph, an attention weight is determined for each directed edge corresponding to the node based on a feature vector of the node and the relationship data for each node of the directed graph. A new feature vector of the node is determined based on the relationship data and the attention weight of each directed edge. A feature vector of the current conversation is determined based on the new feature vector of each node. An item is recommended based on the feature vector of the current conversation.

Conversation-based recommending method, conversation-based recommending apparatus, and device

Provided is an array substrate. The array substrate includes: a base substrate, and a plurality of gate lines, a plurality of data lines, a plurality of sub-pixels and a plurality of touch signal lines disposed on the base substrate. The data lines have a plurality of first extending parts and a plurality of second extending parts which are in an alternating arrangement. When the array substrate is used to prepare a liquid crystal display panel and the liquid crystal display panel is displaying, in each column of the sub-pixels, the voltage polarities of the two adjacent sub-pixels which respectively belong to two adjacent first pixel regions are opposite.

Array substrate and display device

An array substrate and display device are provided. The array substrate includes a base substrate, and gate lines, data lines, compensation blocks and sub-pixels located on the base substrate. Two gate lines are arranged between two adjacent rows of sub-pixels. The data lines are provided with multiple first extensions and second extensions arranged alternately. The extending direction of the first extensions intersects with the extending direction of the second extensions.

Provided is an array substrate including: a first base, wherein the first base is provided with a plurality of pixel regions, and the pixel region includes a white sub-pixel region and at least two color sub-pixel regions; and a plurality of photosensitive devices disposed on the first base, wherein an orthographic projection of the photosensitive device onto the first base at least partially overlaps with the white sub-pixel region. A liquid crystal display panel and a display apparatus are also provided.

Array substrate, liquid crystal display panel, and display apparatus

A display substrate includes: a base substrate (); a plurality of sub-pixels (R, G, B) located on the base substrate (), every two rows of sub-pixels (R, G, B) constituting a pixel group; a plurality of first gate lines (Gate) located at first row gaps between the pixel groups, two first gate lines (Gate) being arranged at each first row gap; and a plurality of photosensors (), the orthographic projection of each row of photosensors () on the base substrate () completely covering a second row gap in the pixel group and partially overlapping with the orthographic projections of the sub-pixels (R, G, B), thereby avoiding the bright and dark difference between adjacent rows and ensuring the aperture ratio.

Display substrate, liquid crystal display panel, and liquid crystal display device

An early warning method for safety production risk of tailings pond based on risk ranking is provided. The early warning method includes: monitoring and collecting internal basic data of a tailings pond in real-time, and performing a basic monitoring and a basic early warning; collecting geographical location data, meteorological data, and historical geological disaster data of an area where the tailings pond is located; performing risk ranking on a safety production risk of the tailings pond, thereby obtaining a risk level of the tailings pond; and collecting case data of global tailings pond accidents and hazard degree data thereof, acquiring accident solution strategies for the global tailings pond accidents, performing management and monitoring on the tailings pond, setting parameters in a process of the basic monitoring, and performing a ranked early warning on the safety production risk of the tailings pond based on the risk level.

Early warning method for safety production risk of tailings pond based on risk ranking

The present disclosure relates to an electronic device, a wireless communication method and a computer-readable storage medium. The electronic device for a vehicle according to the present disclosure comprises a processing circuit configured to: determine load information of the vehicle; generate vehicle information, with the vehicle information comprising the load information of the vehicle; and send the vehicle information to a server for the server to determine, according to the vehicle information, road planning information for the vehicle. By using the electronic device, the wireless communication method and the computer-readable storage medium according to the present disclosure, the load information of the vehicle can be taken into consideration during road planning and decision planning, thereby better managing the load of the vehicle and more rationally planning a road.

Electronic device, wireless communication method and computer-readable storage medium

Growing community of inventors

Beijing, China

Yi Liu