Yongli Wang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2026
A novel span and syntax enhanced large language model based framework for fine-grained sentiment analysis.
Neural Networks, 2026

2025
SpiderWeb protector: a biomimetic defense against targeted attacks on graph neural networks.
Peer Peer Netw. Appl., November, 2025

Quantum sealed-bid auction protocol based on secure multi-party sorting.
Quantum Inf. Process., August, 2025

Asynchronous Stochastic Block Projection Algorithm for Solving Linear Systems under Predefined Communication Patterns.
CoRR, February, 2025

QVF: Incorporating quantile value function factorization into cooperative multi-agent reinforcement learning.
Pattern Recognit., 2025

A novel large language model enhanced joint learning framework for fine-grained sentiment analysis on drug reviews.
Neurocomputing, 2025

Large language model augmented syntax-aware domain adaptation method for aspect-based sentiment analysis.
Neurocomputing, 2025

Knowledge-augmented large language model-based framework for adverse drug reaction analysis.
Appl. Soft Comput., 2025

An Interface Design for Mooring and Refueling of Electric Propulsion Modules.
Proceedings of the 11th International Conference on Automation, Robotics, and Applications, 2025

2024
A novel automated framework for fine-grained sentiment analysis of application reviews using deep neural networks.
Autom. Softw. Eng., November, 2024

Tag-Array-Based UHF Passive RFID Tag Attitude Identification of Tracking Methods.
Sensors, October, 2024

A blockchain-based system for patient data privacy and security.
Multim. Tools Appl., June, 2024

Optimistic sequential multi-agent reinforcement learning with motivational communication.
Neural Networks, 2024

Trilinear pairing-based cryptosystem authentication: for electronic health record security in healthcare system.
Int. J. Inf. Comput. Secur., 2024

Scholar's Career Switch from Academia to Industry: Mining and Analysis from AMiner.
Big Data Res., 2024

A Multimodal Named Entity Recognition Approach Based on Multi-Perspective Contrastive Learning.
Proceedings of the 7th International Conference on Machine Learning and Natural Language Processing, 2024

HierFormer: A Multi-scale Attention Model for Ship Trajectory Prediction.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

Methods for Detecting XSS Attacks Based on BERT and BiLSTM.
Proceedings of the 8th International Conference on Management Engineering, 2024

Dual-Agent Multi-Hop Reasoning Based on Reward Shaping and Action Dropout.
Proceedings of the 5th International Conference on Machine Learning and Computer Application, 2024

Relationship of Energy Use, CO2 Emissions and Economic Growth in Rwanda.
Proceedings of the International Conference on Electrical, 2024

A Novel Knowledge Enhanced Large Language Model Augmented Framework for Medical Question Answering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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

High-knowledge shilling attack detection method based on genetic co-forest.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

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

Improved Label Fusion Method Based on D-S Evidence Theory Using Subjective and Objective Weights.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

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

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

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
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

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

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
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

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

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

ELAD: An Entity Linking Based Affiliation Disambiguation Framework.
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

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

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

Cross-Domain Recommendation System Based on Tensor Decomposition for Cybersecurity Data Analytics.
Proceedings of the Science of Cyber Security - Second International Conference, 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
Dynamics analysis of a novel 5-DoF parallel manipulator with couple-constrained wrench.
Robotica, 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

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

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

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

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

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

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

Illumination invariant extraction for face recognition using neighboring wavelet coefficients.
Pattern Recognit., 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

Optimization of Artificial Neural Networks Based on Chaotic Time Series in Power Load Forecasting Model.
Proceedings of the Fourth International Conference on Natural Computation, 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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