Alcatel Lucent

International Business Machines Corporation

Huawei Technologies Co., Limited

3M Innovative Properties Company

Nokia Technologies Oy

Alcatel

Fairchild Semiconductor Corporation

Shanghai Kyligence Information Technology Co., Ltd

Grace Semiconductor Manufacturing Corporation

Cstone Pharmaceuticals

Cstone Pharmaceuticals (Shanghai) Co., Ltd.

Cstone Pharmaceuticals (Suzhou) Co., Ltd.

Dong Sheng Li

Stephen Mingyu Chu

Keying Wu

Hongwei Yang

Yong Liang Liu

Min Gong

Liyu Cai

Jun Chi Yan

Dong Li

Wei Peng Zhang

Junchi Yan

JinHui Chen

Weipeng Zhang

Yan Wang

Lei Zhang

Hao Liu

Yun Deng

Chang Li

Torsten Wildschek

Ping Zhou

Qing Han

Boliang Chen

Liang Qin

Zhenqian Yang

Jian Ding

Fang-Chen Cheng

Chao Zhang

Chao Chen

Peng Gao

Yong Sen Zheng

Fan Jing Meng

Jia Qi Li

Jing Chang Huang

Guo Qiang Hu

Liang Wu

Xiaolong Zhu

Matt Richard Hogstrom

Yan Li

Jing Li

Hai Tao

Jinping Hao

Jun He

Zhuozhi Wang

Pei Ni Liu

Yifan Zhang

Yixu Xu

Jianqing Xu

Di Lv

Xianming Li

Yang Song

Zi Xiao Zhu

Jinhui Chen

Gennady Gololobov

Pankaj Srivastava

Tomomi Yoshioka

Maoxu Li

Guosong Li

DeXue Leng

Xinhua Zhang

Baotian Yang

Zhewei Tang

Stephen My Chu

Xiongjian Wu

Qunying Liu

Tobias Enders

Junichi Yan

Xialong Zhu

Linan Tao

Mon Chin Tsai

The present disclosure relates to intent execution methods and apparatus. In one example method, an element management system (EMS) receives a first intent from a network management system (NMS). The first intent indicates the EMS to execute a first command on a first network element and execute a second command on a second network element, a second intent in an active state is maintained in the EMS, the second intent indicates the EMS to execute a third command on the first network element, and the first command and the third command are mutually exclusive. The EMS receives a first parameter and conflict policy information. The EMS determines whether to execute the second command on the second network element, and executes the first command or the third command on the first network element based on the conflict policy information.

Intent execution method and apparatus

There is provided an apparatus, said apparatus comprising means for providing first control information using a first control channel and at least second control information using a second control channel, wherein the first control information comprises at least an indication of resource reservation for an associated data channel and the second control information comprises at least transmission format information for the associated data channel, wherein the associated data channel comprises periodic or aperiodic data traffic.

Control channel structure design to support V2X traffic

A computer-implemented method, system, and non-transitory machine readable medium for a graph-based analysis for an Information Technology (IT) operations includes generating a temporal graph by extracting one or more of operation objects, relations and attributes from operation data of workloads distributed across a plurality of levels of the IT operation within a predetermined time window. Anomalies are detected from the extracted operation data and annotating corresponding objects in the graph. A directional impact between corresponding objects on the temporal graph is determined, and the temporal graph is refined based on the determined directional impact. Accessible paths in the temporal graph indicating error propagation are searched, and potential causes for the detected anomalies in the temporal graph are identified. A list of the potential causes of the anomalies is generated, and a root cause ranked for each of the corresponding objects in the temporal graph.

Method and system for graph-based problem diagnosis and root cause analysis for IT operation

Various embodiments provide a data analysis apparatus, system, and method. The data analysis apparatus may collect data of a network node in a mobile access network, and then perform data analysis and adjust a configuration parameter of the network node, to implement targeted data analysis and parameter adjustment for the network node, so that a speed of data analysis and configuration parameter adjustment can be improved. In addition, modules of the data analysis apparatus may run in parallel, so that the speed of data analysis and configuration parameter adjustment can be further improved.

Data analysis apparatus, system, and method

A computer-implemented method applies labels to unlabeled public data for use by a global model. One or more processors train one or more local machine learning models with local private data to create one or more trained models. Processor(s) generate a label for each of the local private data using the one or more trained models, where each label describes the local private data, and then apply the label to unlabeled public data to create labeled public data. One or more processors then input the labeled public data into a global model that uses the public data.

Training a machine learning model in a distributed privacy-preserving environment

The present invention provides PD-1 monoclonal antibodies, particularly human monoclonal antibodies of PD-1, which specifically bind to PD-1 with high affinity and comprise a heavy chain and a light chain. The present invention further provides nucleic acid sequence encoding the antibodies of the invention, cloning or expression vectors, host cells and methods for expressing or isolating the antibodies. Immunoconjugates, therapeutic compositions comprising the antibodies of the invention are also provided. The invention also provides methods for treating various cancers with anti-PD-1 antibodies.

Monoclonal antibodies to programmed death 1 (PD-1)

Aspects of the invention include a computer-implemented method for generating product recommendations used a hypergraph. The computer-implemented method includes generating a product embedding vector for a product unpurchased by a consumer based on a hypergraph. Generating a consumer embedding vector for the consumer based on the hypergraph. An affinity between the consumer and a product unpurchased by the consumer is scored based on the product embedding vector and the consumer embedding vector. A digital description of the unpurchased product is retrieved based on the scoring. The digital description is presented to the consumer.

Method, system, and manufacture for light hypergraph based recommendation

A method, system, and computer program storage product determine determining a trajectory information type of a receipt submitted by an employee. Trajectory information associated with the receipt submitted by the employee is retrieved based on the trajectory information type. Trajectory information corresponding to a device associated with the employee is also retrieved. The receipt is determined as a valid receipt in response to the trajectory information associated with the receipt submitted by the employee matching the trajectory information associated with the device associated with the employee.

Expense compliance checking based on trajectory detection

Embodiments of the present disclosure provide method, system and computer program product for privacy preserving smart metering. According to one embodiment of the present disclosure, a plurality of customer-encrypted meter readings are received, each of the plurality of customer-encrypted meter readings being encrypted by a customer using a customer key, then a summation of customer keys is obtained, next the plurality of customer-encrypted meter readings are summed, and the summation of the plurality of customer-encrypted meter readings is decrypted based on the obtained summation of customer keys.

Privacy-preserving smart metering

Embodiments of the present disclosure provide a method of user equipment which performs cellular transmission via a serving base station. The method may comprise: sending a request message to the serving base station to request allocation of a resource for device-to-device (D2D) discovery transmission; receiving from the serving base station an indication message for indicating the allocated resource; and performing the D2D discovery transmission on the allocated resource while the cellular transmission is performed. The embodiments of the present disclosure further provide a method of a serving base station, user equipment, and a serving base station.

User equipment, serving base station, and methods of user equipment and serving base station

The automatic modeling method and a classifier for OLAP data model includes acquiring a SQL query statement; parsing the SQL query statement and judging whether any syntax error or lexical error exists in the SQL query statement; extracting query structures from the SQL query statement to obtain at least N sets of query patterns, if no syntax error or lexical error exists; classifying the at least N sets of query patterns; merging the query patterns in each class to obtain a corresponding pattern relation tree; and converting the pattern relation tree into a corresponding data model. The classifier includes a static rule classification module, and a statistical rule and preset learning rule classification module. A data model generated with the method and classifier provided in the present invention supports all inputted SQL query statements and has certain generic capabilities to full support Cube operations and quick queries.

Automatic modeling method and classifier for OLAP data model

Embodiments of the present disclosure relate to a method for hybrid precoding and a communication device. For example, at a communication device in a wireless communication system, a plurality of signals associated with a pilot are received from a plurality of antennas of a further communication device over a wireless channel. Then, angle-domain characteristics of the wireless channel are determined based on the plurality of signals, and spatial correlation characteristics of the wireless channel is determined based on the determined angle-domain characteristics. Moreover, since complete channel state information is no longer needed in determining the spatial correlation characteristics of the wireless channel, the pilot-related signals shorten in the time are sent from the transmitter end to the receiver end. There is further disclosed a communication device capable of implementing the above method.

Method for hybrid precoding and communication device

The present application relates to an OLAP pre-calculation model, an automatic modeling method and an automatic modeling system. The model includes a dimension module, an aggregation group module and a measure module. The method includes collecting data statistics on all data sources to obtain data statistics result, conducting query dryrun based on data model and sample queries given by a user to determine a business model, conducting query dryrun on the sample queries and collecting query statistics, carrying out physical modeling and defining dimension, measure and aggregation group of a pre-calculation model, and obtaining a business modeling result and a pre-calculation model. The system includes data statistics module, business model module, query statistics module, and model establishing modules. A more efficient combination of pre-calculated dimensions can be produced and redundant calculation and data storage can be reduced.

OLAP pre-calculation model, automatic modeling method, and automatic modeling system

Techniques for neural network training are provided. One computer-implemented method comprises: obtaining, by an electronic device operatively coupled to a processing unit, based on a similarity between two images, a first image and a second image. The computer-implemented method also comprises training, by the electronic device, a neural network based on the first image and the second image such that a distance between a first vector and a second vector generated respectively from the first image and the second image in the trained neural network is associated with the similarity.

Neural network training

Growing community of inventors

Shanghai, China

Dong Sheng Li