108 Result(s)
within
Zhigang **
Artificial Intelligence
Data Mining and Knowledge Discovery
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Chapter and Conference Paper
Improving Entity Linking with Graph Networks
Entity linking aims to assign a unique identity to entities mentioned in text given a predefined Knowledge Base. Previous works address this task based on the local or global features or the combination of the...
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Chapter and Conference Paper
Design of Intelligent Water Purification Control System for Small Waterworks Based on LSTM
This paper studies the application of intelligent drug control automatic water purification in tap water supply in remote areas. On the basis of LSTM technology, the solutions of control system, human-computer...
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Article
Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm
This paper extends Archimedean t-norm and t-conorm to aggregate the dual hesitant fuzzy linguistic information. Firstly, some basic concepts of dual hesitant fuzzy linguistic elements (DHFLEs) and operational ...
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Chapter and Conference Paper
A Convergent Differentially Private k-Means Clustering Algorithm
Preserving differential privacy (DP) for the iterative clustering algorithms has been extensively studied in the interactive and the non-interactive settings. However, existing interactive differentially priva...
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Chapter and Conference Paper
WebEL: Improving Entity Linking with Extra Web Contexts
Entity Linking is the task of determining the identity of textual entity mentions given a predefined Knowledge Graph (KG). Plenty of existing efforts have been made on this task using either “local” informatio...
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Chapter and Conference Paper
Multiple Interaction Attention Model for Open-World Knowledge Graph Completion
Knowledge Graph Completion (KGC) aims at complementing missing relationships between entities in a Knowledge Graph (KG). While closed-world KGC approaches utilizing the knowledge within KG could only complemen...
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Chapter and Conference Paper
Unsupervised Entity Alignment Using Attribute Triples and Relation Triples
Entity alignment aims to find entities referring to the same real-world object across different knowledge graphs (KGs). Most existing works utilize the relations between entities contained in the relation trip...
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Chapter and Conference Paper
Multi Step Prediction of Landslide Displacement Time Series Based on Extended Kalman Filter and Back Propagation Trough Time
Landslide is a complex geological natural disaster that brings harm or damage to human beings and their living environment. By strengthening landslide monitoring and forecasting technology, people can avoid or...
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Chapter and Conference Paper
A Novel Second-Order Consensus Control in Multi-agent Dynamical Systems
In this paper, a new type protocol is proposed. Second-order consensus in multi-agent dynamical systems with this protocol is studied using a new analytical method
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Chapter and Conference Paper
Adjustable Location Privacy-Preserving Nearest Neighbor Query Method
Location-based services facilitate the daily life of the people, nevertheless, they also bring about the problem of privacy preserving. Privacy preserving methods without anonymity server, for example, Copriv...
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Chapter and Conference Paper
Global Stabilization for Delayed Fuzzy Inertial Neural Networks
This paper studies the global stabilization problem for a class of fuzzy inertial neural networks (FINN) with time delays and deals with the FINN directly by non-reduced order method
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Chapter and Conference Paper
Retweeting Prediction Using Matrix Factorization with Binomial Distribution and Contextual Information
Retweeting provides an efficient way to expand information diffusion in social networks, and many methods have been proposed to model user’s retweeting behaviors. However, most of existing works focus on devis...
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Article
Design of memristor-based image convolution calculation in convolutional neural network
In this paper, an architecture based on memristors is proposed to implement image convolution computation in convolutional neural networks. This architecture could extract different features of input images wh...
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Chapter and Conference Paper
Unified User and Item Representation Learning for Joint Recommendation in Social Network
Friend and item recommendation in online social networks is a vital task, which benefits for both users and platform providers. However, extreme sparsity of user-user matrix and user-item matrix issue create s...
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Chapter and Conference Paper
Bootstrapped Multi-level Distant Supervision for Relation Extraction
Distant supervised relation extraction has been widely used to identify new relation facts from free text. However, relying on a single-node categorization model to identify relation facts for thousands of rel...
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Chapter and Conference Paper
Distant Supervision for Relation Extraction with Neural Instance Selector
Distant supervised relation extraction is an efficient method to find novel relational facts from very large corpora without expensive manual annotation. However, distant supervision will inevitably lead to wr...
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Chapter and Conference Paper
Cross-Layer Convolutional Siamese Network for Visual Tracking
In most trackers for visual tracking, Siamese network based trackers construct a pair of twin structures to learn a similarity metric between tracked object and search region to predict the position of the obj...
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Chapter and Conference Paper
Blur Measurement for Partially Blurred Images with Saliency Constrained Global Refinement
Blur measurement of partially blurred image is still far from being resolved. This calls for more distinctive blur features and, even more importantly, a global refinement strategy that has not been considered...
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Chapter and Conference Paper
Learning Misclassification Costs for Imbalanced Datasets, Application in Gene Expression Data Classification
Cost-sensitive algorithms have been widely used to solve imbalanced classification problem. However, the misclassification costs are usually determined empirically, leading to uncertain performance. Hence an e...
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Chapter and Conference Paper
Min-Forest: Fast Reachability Indexing Approach for Large-Scale Graphs on Spark Platform
Reachability query is an important graph operation in graph database which answers whether a vertex can reach another vertex through a path over the graph, and it is also fundamental to real applications invol...
