Yongli Wang

Orcid: 0000-0003-2219-067X

Affiliations:
  • Nanjing University of Science and Technology, Nanjing, Jiangsu, China


According to our database1, Yongli Wang authored at least 64 papers between 2015 and 2026.

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

Timeline

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Bibliography

2026
Large language model augmented joint learning framework for entity-relation extraction.
Appl. Soft Comput., 2026

2025
Reward Shaping Based on Optimal-Policy-Free.
IEEE Trans. Big Data, August, 2025

Graph-in-graph discriminative feature enhancement network for fine-grained visual classification.
Appl. Intell., January, 2025

Multi-level feature fusion networks for smoke recognition in remote sensing imagery.
Neural Networks, 2025

An innovative multi-view collaborative optimization framework for Weighted Naive Bayes.
Knowl. Based Syst., 2025

Global-Semantic Alignment Distillation for Partial Multi-view Classification.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Understanding Sentiment Polarities and Emotion Categories of People on Public Incidents With the Relation to Government Policies.
IEEE Trans. Comput. Soc. Syst., December, 2024

Computer vision-driven forest wildfire and smoke recognition via IoT drone cameras.
Wirel. Networks, November, 2024

Correction to: Emotion detection and semantic trends during COVID-19 social isolation using artificial intelligence techniques.
J. Ambient Intell. Humaniz. Comput., April, 2024

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

Trusted Semi-Supervised Multi-View Classification With Contrastive Learning.
IEEE Trans. Multim., 2024

DVF:Multi-agent Q-learning with difference value factorization.
Knowl. Based Syst., 2024

Adversarially attack feature similarity for fine-grained visual classification.
Appl. Soft Comput., 2024

MVEA: Multi-View Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs.
Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition, 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

Attribute Encryption Information Sharing Scheme Based on Blockchain Technology.
IAIC (1), 2023

FedMLP4SR: Federated MLP-Based Sequential Recommendation System.
IAIC (1), 2023

An Emotion Recognition Method in Conversations Based on Knowledge Selection and Fuzzy Fingerprints.
IAIC (3), 2023

Data Stream Aggregation Mechanism Under Local Differential Privacy.
IAIC (3), 2023

Knowledge Graph Reasoning with Bidirectional Relation-Guided Graph Attention Network.
IAIC (2), 2023

Decoupled Knowledge Distillation in Data-Free Federated Learning.
IAIC (2), 2023

Dynamic Occlusion Expression Recognition Based on Improved GAN.
IAIC (1), 2023

RSCC: Robust Semi-supervised Learning with Contrastive Learning and Augmentation Consistency Regularization.
IAIC (1), 2023

Enhanced Prototypical Network for Few-Shot Named Entity Recognition.
IAIC (1), 2023

Contrastive Learning Based on AMR Graph for Logic Reasoning.
IAIC (1), 2023

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


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