Minghui Sun

Orcid: 0000-0002-1809-8187

Affiliations:
  • Jilin University, Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
  • Kochi University of Technology, Kami, Japan (PhD 2011)


According to our database1, Minghui Sun authored at least 39 papers between 2014 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Mambacnn: a lightweight intrusion detection system based on mamba for the internet of vehicles.
Cybersecur., December, 2026

2025
From news to trends: a financial time series forecasting framework with LLM-driven news sentiment analysis and selective state spaces.
J. Intell. Inf. Syst., December, 2025

Federated two-stage transformer-based network for intrusion detection in non-IID data of controller area networks.
Cybersecur., December, 2025

BoundaryScreen: Summoning the Home Screen in VR via Walking Outward.
IEEE Trans. Vis. Comput. Graph., May, 2025

Transformer-based multi-level attention integration network for video saliency prediction.
Multim. Tools Appl., April, 2025

Probability knowledge acquisition from unlabeled instance based on dual learning.
Knowl. Inf. Syst., January, 2025

TrailTag: Enhancing the Selection of Moving Targets in Virtual Reality Environments Combining the Comet and Tag Mechanisms.
Int. J. Hum. Comput. Interact., 2025

TFS-Net: Temporal first simulation network for video saliency prediction.
Expert Syst. Appl., 2025

Real-time and convenient mirror augmentation framework based on 3D pose estimation application.
Digit. Signal Process., 2025

2024
FANs: fully attentional networks for image compression.
Multim. Tools Appl., May, 2024

Climbing Keyboard: A Tilt-Based Selection Keyboard Entry for Virtual Reality.
Int. J. Hum. Comput. Interact., March, 2024

2023
An exploration of pressure input with bare finger for Mobile interaction in stationary and Mobile situations.
Multim. Tools Appl., July, 2023

Self-Supervised Seismic Random Noise Attenuation With Spatial Attention From a Single Section.
IEEE Trans. Geosci. Remote. Sens., 2023

A Graph Positional Attention Network for Session-Based Recommendation.
IEEE Access, 2023

ParaGlassMenu: Towards Social-Friendly Subtle Interactions in Conversations.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Smart-VPoseNet: 3D human pose estimation models and methods based on multi-view discriminant network.
Knowl. Based Syst., 2022

Learning causal Bayesian networks based on causality analysis for classification.
Eng. Appl. Artif. Intell., 2022

2021
Hierarchical Independence Thresholding for learning Bayesian network classifiers.
Knowl. Based Syst., 2021

A novel approach to fully representing the diversity in conditional dependencies for learning Bayesian network classifier.
Intell. Data Anal., 2021

2-Thumbs Typing: A Novel Bimanual Text Entry Method in Virtual Reality Environments.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

2020
Instance-based weighting filter for superparent one-dependence estimators.
Knowl. Based Syst., 2020

Efficient heuristics for learning Bayesian network from labeled and unlabeled data.
Intell. Data Anal., 2020

An Enhanced Multi-Modal Recommendation Based on Alternate Training With Knowledge Graph Representation.
IEEE Access, 2020

Self-Adaptive Attribute Value Weighting for Averaged One-Dependence Estimators.
IEEE Access, 2020

PhoneCursor: Improving 3D Selection Performance With Mobile Device in AR.
IEEE Access, 2020

2019
Structure Learning of Bayesian Network Based on Adaptive Thresholding.
Entropy, 2019

Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance.
Entropy, 2019

Structure Extension of Tree-Augmented Naive Bayes.
Entropy, 2019

Discriminatory Target Learning: Mining Significant Dependence Relationships from Labeled and Unlabeled Data.
Entropy, 2019

Optimizing the Topology of Bayesian Network Classifiers by Applying Conditional Entropy to Mine Causal Relationships Between Attributes.
IEEE Access, 2019

"Watch Your Step": Precise Obstacle Detection and Navigation for Mobile Users Through Their Mobile Service.
IEEE Access, 2019

Robust Structure Learning of Bayesian Network by Identifying Significant Dependencies.
IEEE Access, 2019

Model Matching: A Novel Framework to use Clustering Strategy to Solve the Classification Problem.
IEEE Access, 2019

2018
Efficient Heuristics for Structure Learning of <i>k</i>-Dependence Bayesian Classifier.
Entropy, 2018

Investigating the effects of vibrotactile feedback on human performance in navigation tasks.
Comput. Electr. Eng., 2018

2017
Using improved particle swarm optimization to tune PID controllers in cooperative collision avoidance systems.
Frontiers Inf. Technol. Electron. Eng., 2017

Label-Driven Learning Framework: Towards More Accurate Bayesian Network Classifiers through Discrimination of High-Confidence Labels.
Entropy, 2017

2015
General and Local: Averaged k-Dependence Bayesian Classifiers.
Entropy, 2015

2014
How to Mine Information from Each Instance to Extract anAbbreviated and Credible Logical Rule.
Entropy, 2014


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