@article{10559396tvae,author={Trong-Nghia, Nguyen and Kim, Soo-Hyung and Kho, Bo-Gun and Nhu-Tai, Do and Iyortsuun, Ngumimi-Karen and Yang, Hyung-Jeong},journal={Journal of Biomedical Signal Processing and Control},title={Temporal Variational Autoencoder Model for In-hospital Clinical Emergency Prediction},year={2025},doi={10.1016/j.bspc.2024.106975},volume={100},number={PC},pages={106975},keywords={Task analysis;Predictive models;Training;Hospitals;Medical diagnostic imaging;Testing;Intelligent systems}}
PeerJ CS
Dual-stream transformer approach for pain assessment using visual-physiological data modeling
@article{nguyen2025dualstream,author={M, Nguyen and H, Yang and D, Dao and S, Kim and S, Kim and J, Shin and NAT, Nguyen and T, Nguyen},journal={PeerJ Computer Science},title={Dual-stream transformer approach for pain assessment using visual-physiological data modeling},year={2025},volume={11},pages={e3158},doi={10.7717/peerj-cs.3158},}
2024
IEEE Access
Explainable Deep Contrastive Federated Learning System for Early Prediction of Clinical Status in Intensive Care Unit
Nguyen Trong-Nghia, Hyung-Jeong Yang, Bo-Gun Kho, and 2 more authors
@article{nguyen2024federated,author={Trong-Nghia, Nguyen and Yang, Hyung-Jeong and Kho, Bo-Gun and Kang, Sae-Ryung and Kim, Soo-Hyung},journal={IEEE Access},title={Explainable Deep Contrastive Federated Learning System for Early Prediction of Clinical Status in Intensive Care Unit},year={2024},volume={12},pages={117176-117202},doi={10.1109/ACCESS.2024.3447759},}
Intell. Syst.
Multi-Gradient Siamese Temporal Model for the Prediction of Clinical Events in Rapid Response Systems
Nguyen Trong-Nghia, Soo-Hyung Kim, Bo-Gun Kho, and 1 more author
@article{nguyen2024siamese,author={Trong-Nghia, Nguyen and Kim, Soo-Hyung and Kho, Bo-Gun and Yang, Hyung-Jeong},journal={IEEE Intelligent Systems},title={Multi-Gradient Siamese Temporal Model for the Prediction of Clinical Events in Rapid Response Systems},year={2024},pages={1-12},keywords={Task analysis;Predictive models;Training;Hospitals;Medical diagnostic imaging;Testing;Intelligent systems},doi={10.1109/MIS.2024.3408290},}
A Hybrid CNN-LSTM Approach for Effective Denoising of EEG Signals Contaminated by EOG Artifacts
Battulga Ulziisaikhan, Trong-Nghia Nguyen, and Soo-Hyung Kim
In Proceedings of Annual Conference of Korea Information Processing Society (ACK2024), 2024
@inproceedings{tulga2024,title={A Hybrid CNN-LSTM Approach for Effective Denoising of EEG Signals Contaminated by EOG Artifacts},author={Ulziisaikhan, Battulga and Nguyen, Trong-Nghia and Kim, Soo-Hyung},booktitle={Proceedings of Annual Conference of Korea Information Processing Society (ACK2024)},pages={573--576},year={2024},organization={Korea Information Processing Society},}
2023
Ensemble spatial and temporal vision transformer for action units detection
Vu Ngoc Tu, Huynh Van Thong, Nguyen Trong Nghia, and 1 more author
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPRW), 2023
@inproceedings{vu2023ensemble,title={Ensemble spatial and temporal vision transformer for action units detection},author={Tu, Vu Ngoc and Thong, Huynh Van and Nghia, Nguyen Trong and Soo-Hyung, Kim},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPRW)},pages={5770--5776},year={2023},}
2022
SMA
A TabNet-Based System for Water Quality Prediction in Aquaculture
Nguyen Trong-Nghia, Soo Hyung Kim, Nhu-Tai Do, and 3 more authors
@article{nguyen2022tabnet,title={A TabNet-Based System for Water Quality Prediction in Aquaculture},author={Trong-Nghia, Nguyen and Kim, Soo Hyung and Do, Nhu-Tai and Hong, Thai-Thi Ngoc and Yang, Hyung Jeong and Lee, Guee Sang},journal={Smart Media Journal},volume={11},number={2},pages={39--52},year={2022},publisher={The Korean Institute of Smart Media},doi={10.30693/SMJ.2022.11.2.39},}
Deep learning-based model for rapid prediction of in-hospital clinical deterioration
Nguyen Trong-Nghia, Kho Bo-Gun, Yang Hyung-Jeong, and 1 more author
In Proceedings of the 10th International Conference on Big Data Applications and Services (BIGDAS2022), 2022
@inproceedings{nguyen2022deep,title={Deep learning-based model for rapid prediction of in-hospital clinical deterioration},author={Trong-Nghia, Nguyen and Bo-Gun, Kho and Hyung-Jeong, Yang and Soo-Hyung, Kim},booktitle={Proceedings of the 10th International Conference on Big Data Applications and Services (BIGDAS2022)},pages={81--88},year={2022},organization={Korea Big Data Service Society}}
Stress analysis based on feature-level late fusion
Eun-Bin Choi, Hong-Hai Nguyen, Nguyen Trong Nghia, and 1 more author
In Proc. Int. Conf. Smart Media and Applications (SMA2022), Oct. 2022., 2022
@inproceedings{sma2022,title={Stress analysis based on feature-level late fusion},author={Choi, Eun-Bin and Nguyen, Hong-Hai and Nghia, Nguyen Trong and Soo-Hyung, Kim},booktitle={Proc. Int. Conf. Smart Media and Applications (SMA2022), Oct. 2022.},pages={110-114},year={2022},}
2021
Deep Interpretable Learning for a Rapid Response System
Nguyen Trong-Nghia, Vo Thanh-Hung, Bo-Gun Kho, and 3 more authors
In Proceedings of the Korea Information Processing Society Conference (KIPS), 2021
@inproceedings{nguyen2021deep,title={Deep Interpretable Learning for a Rapid Response System},author={Trong-Nghia, Nguyen and Thanh-Hung, Vo and Kho, Bo-Gun and Lee, Guee-Sang and Yang, Hyung-Jeong and Kim, Soo-Hyung},booktitle={Proceedings of the Korea Information Processing Society Conference (KIPS)},pages={805--807},year={2021},organization={Korea Information Processing Society},}
2020
How feature fusion can help to improve multi-shot person re-identification performance?
Thuy-Binh Nguyen, Nguyen Trong-Nghia, Hong-Quan Nguyen, and 2 more authors
In 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2020
@inproceedings{nguyen2020feature,title={How feature fusion can help to improve multi-shot person re-identification performance?},author={Nguyen, Thuy-Binh and Trong-Nghia, Nguyen and Nguyen, Hong-Quan and Le, Thi-Lan and Pham, Thi Thanh Thuy},booktitle={2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)},pages={1--6},year={2020},organization={IEEE},}