Sap Se

Advanced New Technologies Co., Ltd.

Semiconductor Manufacturing International (shanghai) Corporation

Sap Ag

Chinese Academy of Sciences

Semiconductor Manufacturing International (beijing) Corporation

Yu Cheng

Wen-Syan Li

Mengjiao Wang

Lars Dannecker

Gordon Gaumnitz

Boyi Ni

Hao Ni

Gufei Sun

Zhan Shi

Tao Chen

Jia Tao Li

Xin Chen

Lei Feng

Yubo Zhou

Xiaohua Chen

Xingtian Shi

Yi Jin Kwon

Xiaobei Hu

Yicheng Lu

Hong Yu

Qing Lu

Weijuan Kan

Yujie Wang

Zijian Zhao

Xinyi Fu

Yijin Kwon

Huijun Nie

Hongtao Tian

Tian Mi

Kenian Yan

Binshan Zhou

Yuhua Zhong

Gaoya Xu

Jia Li

The present invention relates to a polysubstituted isoindoline compound as shown in general formula (I), and a preparation method, a pharmaceutical composition and the use thereof. In particular, the polysubstituted isoindoline compound is provided in the present invention as a class of novel CRL4E3 ubiquitin ligase modulators in structure, wherein same has a stronger antitumor activity and antitumor spectrum, and can be used to prepare drugs for treating CRL4E3 ligase-related diseases.

Isoindoline compound, preparation method, pharmaceutical composition and use thereof

Data type recognition and model training methods and apparatuses, and computer devices are provided. The model training method includes acquiring a first sample data set, and using the first sample data set to train an anomaly detection model; and detecting an abnormal sample data set from a second sample data set by means of the anomaly detection model, and using the abnormal sample data set to train a classification model. By using this method, an amount of scoring events of the classification model can be reduced, and relatively balanced sample data sets can also be provided for training, to obtain the classification model with a higher accuracy.

Data type recognition, model training and risk recognition methods, apparatuses and devices

Embodiments of the present disclosure disclose identity verification methods, apparatuses, electronic devices, and storage media. In an embodiment, an identity verification method includes: receiving an identity verification request for verifying an identity of a user; determining that the user is an inactive user based on a user service variable value; determining at least one risk level of the user based on at least one user identification method; and determining a user identity verification method based on the at least one risk level and at least one identity verification threshold corresponding to the at least one user identification method, wherein the user identity verification method is one of a strong user identity verification method or a weak user identity verification method.

Threshold determining and identity verification method, apparatus, electronic device, and storage medium

One or more implementations of the present specification provide a risk identification model building method, and a risk identification method. From data of a target user, user state records of the target user within a predetermined duration of time are extracted, wherein the user state records include a plurality of user operations and/or a plurality of system events. The user state records are sorted based on corresponding occurrence times. A user state sequence is generated based on sorted user state records. The generated user state sequence is converted into a sequence feature. A risk identification result is generated based on a previously trained risk identification model that takes as input the sequence feature generated from the user state sequence.

Risk identification model building and risk identification

Disclosed herein are technologies for providing recommendations as to particular products and/or services that are customer specific and general, based on customer preference and inquiry. The recommendations are provided as part of an online shopping system. In accordance with one aspect, an item query is received from a customer, and analyzed by a query analyzer to determine if the query is a general item query or a specific item query. A search may be performed for items based on the item query in an items database listing items offered for purchase. If the query is the general item query, customer preference is determined from results of the search. If the query is the specific item query, the items from the results of the search are grouped based on cost performance. The items of the search result are ranked and provided to the customer.

Method, system, and computer-readable medium for product and vendor selection

An advisor creates configurations for generating multi-representations of time series data based upon detected characteristics such as length, interval, minimums, data types, etc., as well as configurations provided by a user. In an offline mode the advisor may further consider a previous time series workload. In an on-line mode the advisor may adapt multi-representation configurations with respect to ongoing changes in a current time series workload. The advisor may reference a cost model including values quantifying various dimensions (e.g., compression technique, accuracy, covered time period, storage medium, memory consumption, speed) of the multi-representations for optimization purposes. Configurations created by the advisor may be input to a storage engine to generate and store the multi-representations according to goals for data aging, operation execution pattern optimization, and ease of access to time series data located in hot zones. The advisor may be implemented with an engine of an in-memory database.

Advisor generating multi-representations of time series data

A flexible approach for storing time series data, utilizes multiple representations in order to achieve optimization amongst various dimensions such as covered time period, accuracy, compression model, and storage medium. A first aspect selectively provides different representations for various portions of a time series along the time axis (horizontal). In this horizontal aspect, a first compression model may be applied to store data occurring during one period in a time series, while a different compression model is applied to store data during another period. In a separate (vertical) aspect, time series data over a same time period may be saved in multiple representations using different compression models. While increasing demands on memory, such vertical storage can afford efficient access for specific purposes (i.e., analytical). Storing time series data according to horizontal and/or vertical distributions, may be useful for applications such as data aging and the optimization of operator execution patterns.

Multi-representation storage of time series data

The present disclosure relates to a computer system comprising a database including, a reallocation scheduling module, the reallocation scheduling module configured to obtain an objective function including one or more integer-valued decision variables and automatically determine a proposed reallocation scheme for each of one or more items between a plurality of locations based on the objective function, wherein determining the reallocation scheme includes finding values of one or more decision variables that optimize the objective function while obeying the one or more constraints, wherein determining a proposed reallocation scheme includes solving an integer quadratic programming problem.

Efficient computerized calculation of resource reallocation scheduling schemes

The method includes selecting a target record from a dataset, the target record including a missing value, partitioning records of the dataset into at least two groups including co-related data, the partitioned records including records having a value for a same field as the missing value in the target record, predicting the missing value based on a relationship between fields in each of the at least two groups associated with the partitioned records, and setting the missing value of the target record to the predicted value.

Method and system for managing databases having records with missing values

A technology for multi-objective optimization is provided. In accordance with one aspect, historical data and real-time data of a network of interest are provided in an integrated database. User input containing a problem to be solved and user preference for solving the problem is received. An optimization function is identified for generating at least one solution to the problem. The optimization function is identified based on the user preference. In response to identifying a single objective optimization function, the optimization function is initiated from a single objective optimization function library. In response to identifying a multi-objective optimization function, the optimization function is initiated from a multi-objective optimization function library. The optimization function retrieves the historical and real-time data based on the user preference for solving the problem. A result comprising at least one solution to the problem is provided.

System and method of multi-objective optimization for transportation arrangement

Disclosed herein is a framework for determining a service provider to service a customer request. In accordance with one aspect, a request from a customer is received by a decision module. The decision module further receives a response to the request from a first service provider, determines the average frequency of responses for a given time interval during the time and location of the request, estimates arrival time of the first service provider and near-by service providers to the location of the customer, ranks all service providers based on arrival time, and estimates a probability of a shorter customer wait time.

System and method for intermediary agency to find better service providers

In accordance with aspects of the disclosure, systems and methods are provided for managing production resources including scheduling production events for production resources used to manufacture products relative to time intervals while maintaining collaboration among the production resources. The systems and methods may include retrieving information related to each production resource, evaluating each production event for each product to determine a sequence of the production events, and generating potential production scheduling schemes for use of each production resource within the time intervals while maintaining collaboration among the production resources. The systems and methods may include generating a production schedule for the production events within the time intervals based on the potential production scheduling schemes for use of each production resource within the time intervals while maintaining collaboration among the production resources.

Production resource management using genetic algorithm

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Shanghai, China

Yu Cheng