56 Result(s)
within
Zhigang **
Artificial Intelligence
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
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Article
Masked self-supervised ECG representation learning via multiview information bottleneck
In recent years, self-supervised learning-based models have been widely used for electrocardiogram (ECG) representation learning. However, most of the models utilize contrastive learning that strongly depend o...
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Article
Novel fixed-time stability criteria of nonlinear systems and applications in fuzzy competitive neural network and Chua’s oscillator
Since the fixed-time stability forms of nonlinear systems satisfy strict conditions, there are few general forms for nonlinear systems to achieve fixed-time stability. This work proposes a new class of more ge...
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Chapter and Conference Paper
Logit Distillation via Student Diversity
Knowledge distillation (KD) is a technique of transferring the knowledge from a large teacher network to a small student network. Current KD methods either make a student mimic diverse teachers with knowledge ...
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Article
Heterogeneous information network embedding for user behavior analysis on social media
User behavior prediction with low-dimensional vectors generated by user network embedding models has been verified to be efficient and reliable in real applications. However, existing graph representation lear...
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Article
Stock closing price prediction based on sentiment analysis and LSTM
Stock market prediction has been identified as a very important practical problem in the economic field. However, the timely prediction of the market is generally regarded as one of the most challenging proble...
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Article
Hybridizing grey wolf optimization with neural network algorithm for global numerical optimization problems
This paper proposes a novel hybrid algorithm, called grey wolf optimization with neural network algorithm (GNNA), for solving global numerical optimization problems. The core idea of GNNA is to make full use o...
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Article
Quasi-synchronization of stochastic memristor-based neural networks with mixed delays and parameter mismatches
This paper is concerned with quasi-synchronization of stochastic memristor-based neural networks with mixed delays and parameter mismatches. Due to the parameter mismatches, mean-square exponential synchroniza...
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Article
Sentiment analysis via semi-supervised learning: a model based on dynamic threshold and multi-classifiers
Sentiment analysis has become a very popular research topic, especially for retrieving valuable information from various online environments. Most existing sentiment studies are based on supervised learning, w...
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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
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
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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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
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
Robot Path Planning Based on A Hybrid Approach
In this paper, an optimal method based on combination of improved genetic algorithm (IGA) and improved artificial potential field (IAPF) for path planning of mobile robot is proposed. This method consists of t...
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Chapter and Conference Paper
A Novel Recommendation Service Method Based on Cloud Model and User Personality
The number of Internet Web services has become increasingly large recently. Cloud services consumers face a critical challenge in selecting services from abundant candidates. Due to the uncertainty of Web serv...
