Yongli Wang

According to our database1, Yongli Wang authored at least 135 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Knowledge distillation-driven semi-supervised multi-view classification.
Inf. Fusion, March, 2024

2023
Emotion detection and semantic trends during COVID-19 social isolation using artificial intelligence techniques.
J. Ambient Intell. Humaniz. Comput., December, 2023

Reward shaping with hierarchical graph topology.
Pattern Recognit., November, 2023

Graph convolution with topology refinement for Automatic Reinforcement Learning.
Neurocomputing, October, 2023

A quantitative evaluation of lung nodule spiculation based on image enhancement.
IET Image Process., March, 2023

Day-Ahead Optimization and New Energy Integration Capacity Assessment of Integrated Energy Systems.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

2022
Multi-label transfer learning via latent graph alignment.
World Wide Web, 2022

MMatch: Semi-Supervised Discriminative Representation Learning for Multi-View Classification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Evolutions and trends of artificial intelligence (AI): research, output, influence and competition.
Libr. Hi Tech, 2022

Few-Shot Object Detection of Remote Sensing Image via Calibration.
IEEE Geosci. Remote. Sens. Lett., 2022

Integrating deep learning and traditional image enhancement techniques for underwater image enhancement.
IET Image Process., 2022

Tracing the evolution of AI in the past decade and forecasting the emerging trends.
Expert Syst. Appl., 2022

A statistical feature data mining framework for constructing scholars' career trajectories in academic data.
Appl. Soft Comput., 2022

A method of path planning for unmanned aerial vehicle based on the hybrid of selfish herd optimizer and particle swarm optimizer.
Appl. Intell., 2022

Multi-modal Knowledge Graph Convolutional Network for Recommendation.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Carbon Emission Forecast of Electric Power Industry Based on Lasso and IPSO-BP Neural Network Model.
Proceedings of the BIC 2022: 2nd International Conference on Bioinformatics and Intelligent Computing, Harbin, China, January 21, 2022

A Reliability-constrained Association Rule Mining Method for Explaining Machine Learning Predictions on Continuity of Asthma Care.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A selfish herd optimization algorithm based on the simplex method for clustering analysis.
J. Supercomput., 2021

Recommendation system based on semantic scholar mining and topic modeling on conference publications.
Soft Comput., 2021

Development and kinematics/statics analysis of rigid-flexible-soft hybrid finger mechanism with standard force sensor.
Robotics Comput. Integr. Manuf., 2021

Quantum secure multi-party summation based on entanglement swapping.
Quantum Inf. Process., 2021

A NLP framework based on meaningful latent-topic detection and sentiment analysis via fuzzy lattice reasoning on youtube comments.
Multim. Tools Appl., 2021

Secure Multi-Subinterval Data Aggregation Scheme with Interval Privacy Preservation for Vehicle Sensing Systems.
J. Circuits Syst. Comput., 2021

Adaptive online learning for IoT botnet detection.
Inf. Sci., 2021

Learning adaptive criteria weights for active semi-supervised learning.
Inf. Sci., 2021

Blockchain for consortium: A practical paradigm in agricultural supply chain system.
Expert Syst. Appl., 2021

A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies.
Entropy, 2021

A survey on novel classification of deduplication storage systems.
Distributed Parallel Databases, 2021

Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation.
CoRR, 2021

Correction to: Batch mode active learning via adaptive criteria weights.
Appl. Intell., 2021

Batch mode active learning via adaptive criteria weights.
Appl. Intell., 2021

CT-CAD: Context-Aware Transformers for End-to-End Chest Abnormality Detection on X-Rays.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

MBCED: Multi-task learning event detection method based on pre-training.
Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2020
ASCENT: Active Supervision for Semi-Supervised Learning.
IEEE Trans. Knowl. Data Eng., 2020

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach.
IEEE J. Biomed. Health Informatics, 2020

Selfish herd optimization algorithm based on chaotic strategy for adaptive IIR system identification problem.
Soft Comput., 2020

Science behind AI: the evolution of trend, mobility, and collaboration.
Scientometrics, 2020

Development of 3UPU-I parallel sensor with six division-force limbs for measuring robotic wrist load.
Robotics Auton. Syst., 2020

A secure and lightweight privacy-preserving data aggregation scheme for internet of vehicles.
Peer-to-Peer Netw. Appl., 2020

An efficient privacy-preserving data query and dissemination scheme in vehicular cloud.
Pervasive Mob. Comput., 2020

Efficient location privacy-preserving range query scheme for vehicle sensing systems.
J. Syst. Archit., 2020

Stiffness and Elastic Deformation of 4-DoF Parallel Manipulator with Three Asymmetrical Legs for Supporting Helicopter Rotor.
J. Robotics, 2020

A hybrid machine learning approach for malicious behaviour detection and recognition in cloud computing.
J. Netw. Comput. Appl., 2020

A Collaborative Framework Based for Semantic Patients-Behavior Analysis and Highlight Topics Discovery of Alcoholic Beverages in Online Healthcare Forums.
J. Medical Syst., 2020

A Hybrid Fuzzy System via Topic Model for Recommending Highlight Topics of CQA in Developer Communities.
J. Circuits Syst. Comput., 2020

A graph-based method for reconstructing entities from coordination ellipsis in medical text.
J. Am. Medical Informatics Assoc., 2020

Modified Selfish Herd Optimizer for Function Optimization.
Int. J. Comput. Intell. Appl., 2020

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach.
CoRR, 2020

Discrete selfish herd optimizer for solving graph coloring problem.
Appl. Intell., 2020

Joint local structure preservation and redundancy minimization for unsupervised feature selection.
Appl. Intell., 2020

Video Background/Foreground Separation Model Based on Non-Convex Rank Approximation RPCA and Superpixel Motion Detection.
IEEE Access, 2020

Institutional Collaboration and Competition in Artificial Intelligence.
IEEE Access, 2020

ELAD: An Entity Linking Based Affiliation Disambiguation Framework.
IEEE Access, 2020

H<sub>∞</sub> Control of Discrete-Time Stochastic Systems With Borel-Measurable Markov Jumps.
IEEE Access, 2020

Moving Object Detection Based on Non-Convex RPCA With Segmentation Constraint.
IEEE Access, 2020

AI 2000: A Decade of Artificial Intelligence.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

A Lightweight Blockchain-Based Trust Model for Smart Vehicles in VANETs.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2020

Knowledge-Driven Multi-dimensional Dialogue Rewriting Model.
Proceedings of the Web and Big Data. APWeb-WAIM 2020 International Workshops, 2020

2019
Corrigendum to "Towards Smart Healthcare: Patient Data Privacy and Security in Sensor-Cloud Infrastructure".
Wirel. Commun. Mob. Comput., 2019

A trust enhancement scheme for cluster-based wireless sensor networks.
J. Supercomput., 2019

Incremental semi-supervised learning on streaming data.
Pattern Recognit., 2019

Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey.
Multim. Tools Appl., 2019

Natural Language Processing via LDA Topic Model in Recommendation Systems.
CoRR, 2019

Selfish herds optimization algorithm with orthogonal design and information update for training multi-layer perceptron neural network.
Appl. Intell., 2019

Cross-Domain Recommendation System Based on Tensor Decomposition for Cybersecurity Data Analytics.
Proceedings of the Science of Cyber Security - Second International Conference, 2019

Integrating Cyber Physical Social Systems with Agricultural Supply Chain Systems: A New Paradigm for Social Fairness.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

Many-Objective Evolutionary Optimization Based Economic Dispatch of Integrated Energy System with Multi-microgrid and CHP.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018
Towards Smart Healthcare: Patient Data Privacy and Security in Sensor-Cloud Infrastructure.
Wirel. Commun. Mob. Comput., 2018

Privacy management of patient physiological parameters.
Telematics Informatics, 2018

A New Path-Constrained Rendezvous Planning Approach for Large-Scale Event-Driven Wireless Sensor Networks.
Sensors, 2018

Dynamics analysis of a novel 5-DoF parallel manipulator with couple-constrained wrench.
Robotica, 2018

Revisiting transductive support vector machines with margin distribution embedding.
Knowl. Based Syst., 2018

A survey of real-time approximate nearest neighbor query over streaming data for fog computing.
J. Parallel Distributed Comput., 2018

Robust Transductive Support Vector Machine for Multi-View Classification.
J. Circuits Syst. Comput., 2018

Quick response under strategic consumers with risk preference and decreasing valuation.
Int. J. Prod. Res., 2018

Recommendation System based on Semantic Scholar Mining and Topic modeling: A behavioral analysis of researchers from six conferences.
CoRR, 2018

Robust PCA Using Matrix Factorization for Background/Foreground Separation.
IEEE Access, 2018

HTMTAD: A Model to Detect Anomalies of CDN Traffic Based on Improved HTM Network.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Secure and Verifiable Outsourcing of Large-Scale Matrix Inversion without Precondition in Cloud Computing.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

ALO-DM: A Smart Approach Based on Ant Lion Optimizer with Differential Mutation Operator in Big Data Analytics.
Proceedings of the Database Systems for Advanced Applications, 2018

Sentiment Analysis Based on Weighted Word2vec and Att-LSTM.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

QH-K Algorithm for News Text Topic Extraction.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

Detection and Recognition for Fault Insulator Based on Deep Learning.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

Short Text Understanding Based on Conceptual and Semantic Enrichment.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017
Nframe: A privacy-preserving with non-frameability handover authentication protocol based on (t, n) secret sharing for LTE/LTE-A networks.
Wirel. Networks, 2017

Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation.
IEEE Trans. Geosci. Remote. Sens., 2017

Augmented Lagrangian alternating direction method for low-rank minimization via non-convex approximation.
Signal Image Video Process., 2017

Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization.
IEEE Geosci. Remote. Sens. Lett., 2017

A systematic framework to discover pattern for web spam classification.
CoRR, 2017

Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey.
CoRR, 2017

Dynamic Magnetic Resonance Imaging via Nonconvex Low-Rank Matrix Approximation.
IEEE Access, 2017

RTMatch: Real-Time Location Prediction Based on Trajectory Pattern Matching.
Proceedings of the Database Systems for Advanced Applications, 2017

2016
N-dimensional Markov random field prior for cold-start recommendation.
Neurocomputing, 2016

Dynamic pricing considering strategic customers.
Proceedings of the International Conference on Logistics, Informatics and Service Sciences, 2016

Teaching-to-Learn and Learning-to-Teach for Few Labeled Classification.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2016

2015
NBC: An Efficient Hierarchical Clustering Algorithm for Large Datasets.
Int. J. Semantic Comput., 2015

NNB: An efficient nearest neighbor search method for hierarchical clustering on large datasets.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

The Data Quality Evaluation that Under the Background of Wisdom City.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

TMDFM: A data fusion model for combined detection of tumor markers.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Bloom Filter Based Associative Deletion.
IEEE Trans. Parallel Distributed Syst., 2014

AOBA: Recognizing Object Behavior in Pervasive Urban Management.
IEEE Trans. Knowl. Data Eng., 2014

A decomposition method for large-scale box constrained optimization.
Appl. Math. Comput., 2014

Parallel Bayesian Network Modelling for Pervasive Health Monitoring System.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

A New Approach Based on Intelligent Water Drops Algorithm for Node Selection in Service-Oriented Wireless Sensor Networks.
Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

2013
Fuzzy Reasoning of Accident Provenance in Pervasive Healthcare Monitoring Systems.
IEEE J. Biomed. Health Informatics, 2013

Matrix Factorization for User Behavior Analysis of Location-Based Social Network.
Proceedings of the Web Information Systems Engineering - WISE 2013 Workshops, 2013

Mining the maximum conserved functional module from the alignment of pairwise protein interaction networks.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Manifold-constrained regularization for variable selection in envrionmental microbiomic data.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Inference of microbial interactions from time series data using vector autoregression model.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Measuring the uncertainty of RFID data based on particle filter and particle swarm optimization.
Wirel. Networks, 2012

An embedded co-processor for accelerating window joins over uncertain data streams.
Microprocess. Microsystems, 2012

Echo state network with wavelet in load forecasting.
Kybernetes, 2012

Representation and deduction of provenance knowledge for XML queries.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011
ApproxCCA: An approximate correlation analysis algorithm for multidimensional data streams.
Knowl. Based Syst., 2011

Power load forecasting using data mining and knowledge discovery technology.
Int. J. Intell. Inf. Database Syst., 2011

Parallel SSLE algorithm for large scale constrained optimization.
Appl. Math. Comput., 2011

Optimization of Short-Term Load Forecasting Based on Fractal Theory.
Proceedings of the New Challenges for Intelligent Information and Database Systems [original works presented during a poster session organized within the 3rd Asian Conference on Intelligent Information and Database Systems, 2011

Optimizing of Artificial Neural Network Based on Immune Genetic Algorithm in Power Load Forecasting.
Proceedings of the New Challenges for Intelligent Information and Database Systems [original works presented during a poster session organized within the 3rd Asian Conference on Intelligent Information and Database Systems, 2011

2010
Risk Management Evaluation Based on Elman Neural Network for Power Plant Construction Project.
Proceedings of the Advances in Intelligent Information and Database Systems, 2010

Optimizing of SVM with Hybrid PSO and Genetic Algorithm in Power Load Forecasting.
J. Networks, 2010

Power load forecasting using support vector machine and ant colony optimization.
Expert Syst. Appl., 2010

A Large-Update Primal-Dual Interior-Point Method for Second-Order Cone Programming.
Proceedings of the Advances in Neural Networks, 2010

Power Load Forecasting Using Data Mining and Knowledge Discovery Technology.
Proceedings of the Intelligent Information and Database Systems, 2010

2009
A New Short-term Power Load Forecasting Model Based on Chaotic Time Series and SVM.
J. Univers. Comput. Sci., 2009

An active set quasi-Newton method with projected search for bound constrained minimization.
Comput. Math. Appl., 2009

On the convergence of asynchronous parallel algorithm for large-scale linearly constrained minimization problem.
Appl. Math. Comput., 2009

RFIDSLT: A Data Lineage Tracing Method for Complex Query over RFID Streams.
Proceedings of the 2009 IEEE International Conference on e-Business Engineering, 2009

A New Non-interior Continuation Method for Second-Order Cone Programming.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

A New Model to Short-Term Power Load Forecasting Combining Chaotic Time Series and SVM.
Proceedings of the First Asian Conference on Intelligent Information and Database Systems, 2009

2008
SVM Model Based on Particle Swarm Optimization for Short-Term Load Forecasting.
Proceedings of the Advances in Neural Networks, 2008

Power plant construction project safety management evaluation with fuzzy neural network model.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008

Support vector machines based on Lyapunov exponents in power load forecasting model.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008

Approximation and Inverse Control of Nonlinear System using Standard Continuous Piecewise Linear Neural Networks.
Proceedings of the 2008 IEEE International Symposium on Intelligent Control, 2008

2006
A Feasible Active Set QP-Free Method for Nonlinear Programming.
SIAM J. Optim., 2006

2003
Microstructure study and hyper frequency electromagnetic characterization of novel hexagonal compounds.
Microelectron. J., 2003


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