Yonghang Tai

Orcid: 0000-0001-9186-475X

According to our database1, Yonghang Tai authored at least 59 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
ConInfer: Context-Aware Inference for Training-Free Open-Vocabulary Remote Sensing Segmentation.
CoRR, March, 2026

Assessment of Virtual Surgical Operation Skills Based on EEG Rhythmic Characteristics.
Int. J. Hum. Comput. Interact., January, 2026

H-RSSG: High-Fidelity Robotic Surgical Scene Generation With Implicit Deformable Neural Radiance Field.
IEEE Trans Autom. Sci. Eng., 2026

A hybrid model for short-term GHI forecasting based on Crested Porcupine Optimizer optimized VMD combined with MSGNet.
Expert Syst. Appl., 2026

Hierarchical Prompt Learning for Image- and Text-Based Person Re-Identification.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
OTFusion: Bridging Vision-only and Vision-Language Models via Optimal Transport for Transductive Zero-Shot Learning.
CoRR, June, 2025

Toward Immersive and Interactive Surgical Training Using Extended Reality Simulator for IoMT.
Int. J. Hum. Comput. Interact., April, 2025

Viscoelastic Cluster-Constrained PBD-Based Soft Tissue Behavior and Interactive Media Applications for Surgical Simulation.
IEEE Trans. Multim., 2025

Enhancing vulnerability detection efficiency: An exploration of light-weight LLMs with hybrid code features.
J. Inf. Secur. Appl., 2025

High-Quality Novel View Synthesis of Robotic Surgical Scenes using Gaussian Splatting with Depth Prior.
Comput. Methods Programs Biomed., 2025

A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

A Continuous Feature Learning-Optimized Semi-Supervised Framework for Medical Image Classification.
Proceedings of the 2025 3rd International Conference on Communication Networks and Machine Learning, 2025

2024
EEG emotion recognition based on differential entropy feature matrix through 2D-CNN-LSTM network.
EURASIP J. Adv. Signal Process., December, 2024

Neural radiance fields-based multi-view endoscopic scene reconstruction for surgical simulation.
Int. J. Comput. Assist. Radiol. Surg., May, 2024

Personalized assessment and training of neurosurgical skills in virtual reality: An interpretable machine learning approach.
Virtual Real. Intell. Hardw., 2024

Detection of SAR Image Multiscale Ship Targets in Complex Inshore Scenes Based on Improved YOLOv5.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Software vulnerable functions discovery based on code composite feature.
J. Inf. Secur. Appl., 2024

Neural collapse inspired semi-supervised learning with fixed classifier.
Inf. Sci., 2024

EAswin-unet: Segmenting CT images of COVID-19 with edge-fusion attention.
Biomed. Signal Process. Control., 2024

Research on Binocular Ranging Based on Visible and Infrared Cameras Under Low-Light Conditions.
Proceedings of the 8th IEEE International Conference on Vision, 2024

Research on Real-time Lesion Detection Algorithm for Robotic Ultrasound-Guided Images for Percutaneous Transluminal Surgery.
Proceedings of the 8th IEEE International Conference on Vision, 2024

2023
Edge device-based real-time implementation of CycleGAN for the colorization of infrared video.
Future Gener. Comput. Syst., December, 2023

Using Beta Rhythm From EEG to Assess Physicians' Operative Skills in Virtual Surgical Training.
IEEE Trans. Hum. Mach. Syst., August, 2023

Cloud computing-enabled IIOT system for neurosurgical simulation using augmented reality data access.
Digit. Commun. Networks, April, 2023

Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives.
IEEE Commun. Surv. Tutorials, 2023

Hiding Your Signals: A Security Analysis of PPG-Based Biometric Authentication.
Proceedings of the Computer Security - ESORICS 2023, 2023

2022
Land-Sea Target Detection and Recognition in SAR Image Based on Non-Local Channel Attention Network.
IEEE Trans. Geosci. Remote. Sens., 2022

Deep Neural Embedding for Software Vulnerability Discovery: Comparison and Optimization.
Secur. Commun. Networks, 2022

Digital-Twin-Enabled IoMT System for Surgical Simulation Using rAC-GAN.
IEEE Internet Things J., 2022

Development and Validation for Extended Reality-Based MIS Simulator Using Cumulative Summation.
Int. J. Hum. Comput. Interact., 2022

Secure medical digital twin via human-centric interaction and cyber vulnerability resilience.
Connect. Sci., 2022

Trustworthy blockchain-based medical Internet of thing for minimal invasive surgery training simulator.
Concurr. Comput. Pract. Exp., 2022

Transfer learning based on lexical constraint mechanism in low-resource machine translation.
Comput. Electr. Eng., 2022

2021
Trustworthy Image Fusion with Deep Learning for Wireless Applications.
Wirel. Commun. Mob. Comput., 2021

Augmented reality-based visual-haptic modeling for thoracoscopic surgery training systems.
Virtual Real. Intell. Hardw., 2021

Automatically Addressing System for Ultrasound-Guided Renal Biopsy Training Based on Augmented Reality.
IEEE J. Biomed. Health Informatics, 2021

Intelligent Intraoperative Haptic-AR Navigation for COVID-19 Lung Biopsy Using Deep Hybrid Model.
IEEE Trans. Ind. Informatics, 2021

Machine Learning-Based Stealing Attack of the Temperature Monitoring System for the Energy Internet of Things.
Secur. Commun. Networks, 2021

Deep neural-based vulnerability discovery demystified: data, model and performance.
Neural Comput. Appl., 2021

Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access.
IEEE Internet Things J., 2021

2020
Neural Model Stealing Attack to Smart Mobile Device on Intelligent Medical Platform.
Wirel. Commun. Mob. Comput., 2020

Cyber Vulnerability Intelligence for Internet of Things Binary.
IEEE Trans. Ind. Informatics, 2020

Development and assessment of a haptic-enabled holographic surgical simulator for renal biopsy training.
Soft Comput., 2020

Cyber Resilience in Healthcare Digital Twin on Lung Cancer.
IEEE Access, 2020

Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey.
IEEE Access, 2020

2019
Augmented-reality-driven medical simulation platform for percutaneous nephrolithotomy with cybersecurity awareness.
Int. J. Distributed Sens. Networks, 2019

Machine learning-based haptic-enabled surgical navigation with security awareness.
Concurr. Comput. Pract. Exp., 2019

Predicting the Impact of Android Malicious Samples via Machine Learning.
IEEE Access, 2019

Forecasting Hourly Solar Irradiance Using Hybrid Wavelet Transformation and Elman Model in Smart Grid.
IEEE Access, 2019

Changes in Binocular Color Fusion Limit Caused by Different Disparities.
IEEE Access, 2019

Data-Driven Android Malware Intelligence: A Survey.
Proceedings of the Machine Learning for Cyber Security - Second International Conference, 2019

2018
A High-Immersive Medical Training Platform Using Direct Intraoperative Data.
IEEE Access, 2018

The Study of Using Eye Movements to Control the Laparoscope Under a Haptically-Enabled Laparoscopic Surgery Simulation Environment.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Development of Haptic-Enabled Virtual Reality Simulator for Video-Assisted Thoracoscopic Right Upper Lobectomy.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A System Design for Virtual Reality Visualization of Medical Image.
Proceedings of the 26th International Conference on Geoinformatics, 2018

2017
A novel framework for visuo-haptic percutaneous therapy simulation based on patient-specific clinical trials.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A Deep Learning-Based Model for Tactile Understanding on Haptic Data Percutaneous Needle Treatment.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Haptics Feedback Based-LSTM Predictive Model for Pericardiocentesis Therapy Using Public Introperative Data.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Tissue and force modelling on multi-layered needle puncture for percutaneous surgery training.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016


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