Publications

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Publications (*first author, †corresponding author)

24. Oyekanmi O. Olatunde*, Kehinde S. Oyetunde, Jihun Han, Mohammad T. Khasawneh, Hyunsoo Yoon†, 2024 Multiclass Classification of Alzheimer's Disease Prodromal Stages using Sequential Embeddings and Regularized Multikernel Support Vector Machine, NeuroImage, JCR 96.7%, Accepted

23. Hairong Wang, Michael Argenziano, Hyunsoo Yoon, ... , Peter Canoll, Jing Li, 2024 "Biologically-informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post-treatment glioblastoma," Accepted in npj Digital Medicine,7:292 (IF: 15.2), JCR 99.1% Bio-net 

22. Jun Kataoka*, Hyunsoo Yoon†, 2024 "AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain," Expert Systems with Applications, 258, 125147, (IF: 8.655), AVATAR  

21. Hyunsoo Yoon*, Todd J Schwedt, Catherine D. Chong, Oyekanmi Olatunde, Teresa Wu, 2024 "Harmonizing Healthy Cohorts to Support Multicenter Studies on Migraine Classification using Brain MRI Data," Accepted in PLOS ONE (IF:3.752)

20. Shuluo Ning, Hyunsoo Yoon†, 2024 "A new model for building energy modeling and management using predictive analytics: Partitioned Hierarchical Multitask Regression (PHMR)," Indoor Air, 5595459, (IF: 6.554) PHMR 

19. Ziqi Guo*, Thurmon E. Lockhart, Rahul Soangra, Teresa Wu, Hyunsoo Yoon†, 2024 "Correlation Enhanced Distribution Adaptation for Prediction of Fall Risk," Scientific Reports, 14, 3477, (IF: 4.997)

18. Eunjung Cho, Hyunsoo Yoon, Youngsang Cho, 2024 "Evaluation of the impact of intensive PM2.5 reduction policy using machine learning in Seoul," Urban Climate, 53, 101778, (IF: 6.663)

17. Nathan Gaw, Jing Li, Hyunsoo Yoon†, 2024 "A Novel Semi-supervised Learning Model for Smartphone-based Health Telemonitoring," IEEE Transactions on Automation Science and Engineering, 21(1), 428-441, (IF:6.636) 

16. Firas Al-Hindawi, Tejaswi Soori, Han Hu, Md Siddiquee, Hyunsoo Yoon, Teresa Wu, Ying Sun, 2023 "A Generalized Framework for Critical Heat Flux Detection Using Unsupervised Image-to-Image Translation," Expert Systems with Applications, 227, 120265, (IF: 8.665)  link

15. Jiajing Huang, Hyunsoo Yoon†, Teresa Wu, Kasim Selcuk Candan, Ojas Pradhan, Jin Wen, Zheng O'Neill, 2023 "Eigen-Entropy: A Metric on Multi-variate Sampling Decision," Information Sciences,619, 84-97, (IF:8.233) link

14. Jiajing Huang, Hyunsoo Yoon†, Ojas Pradhan, Teresa Wu, Jin Wen, Zheng O'Neill, Kasim Selcuk Candan, 2022 "A Cosine-based Correlation Information Entropy Approach for Building Automatic Fault Detection Baseline Construction," Science and Technology for the Built Environment, 28, 1138–1149, 

13. Ernest Nkansah-Dwamena, Hyunsoo Yoon†, 2022 "Why is sub-Saharan Africa an attractive destination to foreign land grabbers? Evidence from country characteristics," African Development Review, 34, 280–292

12. Jiajing Huang, Jin Wen, Hyunsoo Yoon†, Ojas Pradhan, Teresa Wu, Zheng O'Neill, Kasim Selcuk Candan, 2022 "Real vs. Simulated: questions on the capability of simulated datasets on building fault detection for energy efficiency from a data-driven perspective,"  Energy & Buildings (IF: 5.879), 259, 111872, link

11. Thurmon E. Lockhart, Rahul Soangra, Hyunsoo Yoon*, Teresa Wu, Christopher W. Frames, Raven Weaver, Karen A Roberto, 2021 "Prediction of Fall Risk among Community-Dwelling Older Adults using Wearable Wireless Sensors and Random Decision Forest Framework," Scientific Reports, 11, 20976, (IF: 4.011) (co-first author), link 

10. Seyed Moein Rassoulinejad-Mousavi, Firas Al-Hindawi, Tejaswi Soori, Hyunsoo Yoon, Han Hu, Teresa Wu, Ying Sun, 2021 "Deep learning strategies for critical heat flux detection in pool boiling," Applied Thermal Engineering (IF: 4.725), 190(25), 116849

9. Hyunsoo Yoon*, Nathan Gaw, 2021 “A novel multi-task linear mixed model for Smartphone-based Telemonitoring,” Expert Systems with Applications, 164, 113809, (IF: 5.452), MultiLMM 

8. Fei Gao, Hyunsoo Yoon*, Yanzhe Xu,  Dhruman Goradia, Ji Luo, Teresa Wu, Yi Su, 2020,  “AD-NET: Age-adjust neural network for Improved MCI to AD conversion prediction,” NeuroImage-Clinical, 27, 102290, (IF: 4.35) AD-NET

7. Fei Gao, Hyunsoo Yoon†, Teresa Wu, Xianghua Chu, 2020, “A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging”, Expert Systems with Applications,143, 112957, (IF: 5.452) FT-MTL

6. Setzer, Frank C., Katherine Shi, Zhiyang Zheng, Hao Yan, Hyunsoo Yoon, Mei Mupparapu, Jing Li, 2020, “Artificial Intelligence for the Computer-aided Detection of Periapical Lesions in Cone-beam Computed Tomographic Image,”Journal of Endodontics (IF:3.118) AI-CBCT

5. Nathan Gaw, Andrea Hawkins-Daarud, Leland Hu, Hyunsoo Yoon, Pamela Jackson, Teresa Wu, Kristin Swanson, Jing Li. 2019 “Integration of Machine Learning and Mechanistic Models for Cell Density Mapping of Glioblastoma using Multiparametric MRI,” Scientific Reports, (IF: 4.011) 9(1), p.10063. ML-PI

4. Fei Gao, Teresa Wu, Xianghua Chu, Hyunsoo Yoon†, Yanzhe Xu, Bhavika Patel, 2019 “Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis,” IEEE Journal of Biomedical and health informatics, (IF:5.223) RIED-Net

3. Leland Hu, Hyunsoo Yoon*, … , Jing Li, 2019 “Accurate Patient-specific Machine Learning Models of Glioblastoma Invasion using Transfer Learning,” American Journal of Neuroradiology, 40(3), p. 418-425, (IF:3.256) BTL

2. Hyunsoo Yoon*, Jing Li. 2019 “A Novel Positive Transfer Learning Approach for Telemonitoring of Parkinson’s Disease,”  IEEE Transactions on Automation Science and Engineering, 16(1), p. 180-191, (IF:5.224) PTL

1. Hyunsoo Yoon*, Cheong-Sool Park, Jun Seok Kim, Jun-Geol Baek, 2013 “Algorithm learning based neural network integrating feature selection and classification,”  Expert Systems with Applications, 40(1), p. 231-241, (IF:5.452) ALBNN

Patent

• Leland S Hu, Jing Li, Kristin R Swanson, Teresa Wu, Nathan Gaw, Hyunsoo Yoon, Andrea Hawkins-Daarud, “Methods for using Machine Learning and Mechanistic Models for Cell Density Mapping of Glioblastoma with Multiparametric MRI,” US11,861,475 B2, January 2nd, 2024

Under reviews

• Oyekanmi O. Olatunde*, Kanishkan Tamilarasan, William N. Duggar, David M. Caballero, Toms V. Thomas, Neha Adari,  Mohammad T. Khasawneh, Hyunsoo Yoon†, "Early detection of Metastases Tumor Recurrence using Brain MRI",  under review by Computer Methods and Programs in Biomedicine (IF: 7.072)

• Yujin Lee*, Harin Lim, Seoyoon Jang,  Hyunsoo Yoon†, UniFormaly: Towards Task-Agnostic Unified Anomaly Detection, under review by Pattern Recognition (IF: 8.581)

• Joonkyo Shim*, Hyunsoo Yoon†, LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack, under review by Expert Systems with Applications (IF: 8.655)

• Yongmin Kim*, Hyunsoo Yoon†, Integrating Vibration Signal Analysis and Image Embedding for Enhanced Fault Diagnosis in Manufacturing, under review by Expert Systems with Applications (IF: 8.655)

• Jung Hun Phee*, Hyunsoo Yoon†, Empirical Hyper-Graph Abstraction for Time-Series Data, under review by Chaos, Solitons & Fractals , JCR 96.4%

• under anonymous review by IEEE Transactions on Industrial Informatics (IF: 11.7)  (JCR 98.2%)

• Yujin Lee*, Seoyoon Jang*,  Hyunsoo Yoon†, under anonymous review by AAAI 2025

• Jahoon Jeong*, Hyunsoo Yoon†, TANet : Tri-Aspects Network for Camouflaged Object Detection, under review by Expert Systems with Applications (IF: 8.655)

• Dongyoon Yang, Jinu Lee, Hyunsoo Yoon, under anonymous review by CVPR 2025

• Jahoon Jeong*, Seungwon Baik, Hyunsoo Yoon†, Jonghwan Kim†, SimUV-Net : A Novel Approach for Fire Detection & Classification Leveraging Supervised Contrastive Learning, under review by  Expert Systems with Applications (IF: 8.655)

Working papers

• Yujun Yang*, Jun Kataoka, Sang-Hyuk Yun, Hyunsoo Yoon†, DAP: Domain Adversarial Perturbation Bridging Heterogeneous Cross-machine Scenario with Semi-Supervised Domain Adaptation

• Jihoon Han*, Yejin Kwon*, Hyunsoo Yoon†, Mamba-Attention: A Self-Supervised Framework for Efficient Remaining Useful Life Prediction

• Jun Kataoka*, Yujun Yang, Hyunsoo Yoon†, Cross-Domain Bearing Fault Diagnosis with Self-supervised Spectrogram Transformer Model

• Youngje Oh*, Hyunsoo Yoon†, Leveraging Domain Generalization to Improve Estimation of Remaining Useful Life

• Jaehwi Jeon*, Sihyeon Jeong*, Jina Lee, Dawun Jeong, Yeonggul Jang, Jaeik Jeon, In-Chang Hwang, Seung-Ah Lee, Yeonyee E. Yoon, Youngtaek Hong†, Hyunsoo Yoon†, Hyuk-Jae Chang, Text Guided Video Foundation Model for Echocardiography

• Yongmin Kim*, Yujun Yang*, Hyunsoo Yoon†, Balanced Cross-Domain Fault Diagnosis Method in Rotating Machinery with Imbalanced Data

• Dong Hwan Kim*, Jung Hun Phee, Hyunsoo Yoon†, Challenging the Counterintuitive: Revisiting Simple Likelihood Tests with Normalizing Flows for Tabular Data Anomaly Detection

• Yujun Yang*, Yongmin Kim*, Hyunsoo Yoon†, Unsupervised Multi-Source Domain Adaptation in Cross-Machine Scenario with Mixed Heterogeneity

• Harin Lim*, Byung Joo Jeong, Yujin Lee, Hyunsoo Yoon†, Adaptive Prototype Learning for Fully Continual Unsupervised Image Anomaly Detection

• Beomkyo Shin*, Hyunsoo Yoon†, A patch-wise fault diagnosis Framework with Self-Supervised Learning in Limited Data

• Conjunction of Facial Sentiment and Transcript: Controlled Growth Process Model: Controlled Growth Process Model 

• Self-Supervised Learning for Generalized Representations in Echocardiographic Multi-Task Applications

• SAM-driven explainable and uncertainty-aware Automatic Measurement Model in Echocardiography