Publications

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Publications (* corresponding author)

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

2. 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)

3. 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)

4. 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) 

5. 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

6. 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

7. 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," 28, 1138–1149, Science and Technology for the Built Environment

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

9. 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

10. 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 

11. 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

12. 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), 164, 113809, MultiLMM 

13. 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) (co-first author) AD-NET

14. 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

15. 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

16. 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

17. 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

18. 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, (co-first author) (IF:3.256) BTL

19. 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

20. 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,” US 2020/0342359 A1

Under reviews

• Hairong Wang, Michael Argenziano, Hyunsoo Yoon, ... , Peter Canoll, Jing Li, "Biologically-informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post-treatment glioblastoma," under review by npj Digital Medicine (IF: 15.2)

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

• 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)

• Jun Kataoka, Hyunsoo Yoon*, AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain, under review by Expert Systems with Applications (IF: 8.655) 

• Yujin Lee, Harin Lim, 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)

• Jung Hun Phee, Hyunsoo Yoon*, under anonymous review by ICML 2024

• Yongmin Kim, Hyunsoo Yoon*, under anonymous review by  IEEE Transactions on Industrial Informatics (IF: 12.3)  

• Yujun Yang, Jun Kataoka, Hyunsoo Yoon*, DAP: Domain Adversarial Perturbation Bridging Heterogeneous Cross-machine Scenario with Semi-Supervised Domain Adaptation, under review by Mechanical Systems and Signal Processing (IF: 8.4) 

• Oyekanmi O. Olatunde, Kehinde S. Oyetunde, Jihun Han, Mohammad T. Khasawneh, Hyunsoo Yoon*, Multiclass Classificaiton of Alzheimer's Disease Prodromal Stages using Sequential Embeddings and Regularized Multikernel Support Vector Machine, under review by NeuroImage (IF: 5.7) (JCR 3.6%)

Working papers

• Andrea Hawkins-Daarud, Hyunsoo Yoon, Kyle Singleton, Sara Ranjbar, Dileep Monie, Nhan Tran, Christine Brown, Leland Hu, Peter Canoll, Jing Li, Kristin Swanson. “Revealing the Tumor-Immune Landscape Through Spatially-Resolved Radiomics: Case Studies"

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

• Jun Kataoka, Yujun Yang, Hyunsoo Yoon*, Domain Adaptive Spectrogram Transformer (DA-ST)

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

• AnoPT: Few-Normal-Shot Anomaly Detection via Prompt Tuning

• Leveraging Domain Generalization for Improved Estimation of Remaining Useful Life