Qunsheng Ruan

Orcid: 0000-0002-6679-8655

According to our database1, Qunsheng Ruan authored at least 15 papers between 2017 and 2024.

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

Timeline

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Links

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Bibliography

2024
Full-body Human Motion Reconstruction with Sparse Joint Tracking Using Flexible Sensors.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024

2023
Research on Anomaly Network Detection Based on Self-Attention Mechanism.
Sensors, 2023

A Non-Invasive Interpretable NAFLD Diagnostic Method Combining TCM Tongue Features.
CoRR, 2023

TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot.
CoRR, 2023

Visualization Analysis of Tongue Syndrome Diagnosis by Interpretability Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

A Non-Invasive Interpretable NAFLD Diagnostic Method Combining TCM Tongue Features.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
EEG Emotion Classification Using 2D-3DCNN.
Proceedings of the Knowledge Science, Engineering and Management, 2022

2021
Recommendation Model Based on a Heterogeneous Personalized Spacey Embedding Method.
Symmetry, 2021

An Efficient Tongue Segmentation Model Based on U-Net Framework.
Int. J. Pattern Recognit. Artif. Intell., 2021

Cross-subject EEG emotion classification based on few-label adversarial domain adaption.
Expert Syst. Appl., 2021

2020
DE-CNN: An Improved Identity Recognition Algorithm Based on the Emotional Electroencephalography.
Comput. Math. Methods Medicine, 2020

Design of Early Warning System for Fishing Vessels in Coastal Area.
Proceedings of the 3rd IEEE International Conference on Knowledge Innovation and Invention, 2020

2019
Effective learning model of user classification based on ensemble learning algorithms.
Computing, 2019

2018
一种基于MapReduce的不确定图上的相似性连接方法 (Method of Similarity Join on Uncertain Graphs Using MapReduce).
计算机科学, 2018

2017
Separation of dynamic data and recovery of P-abnormal data.
Int. J. Mach. Learn. Cybern., 2017


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