Journal

Hyunsoo Yoon*, Jinu Lee, Dongyoon Yang^†, 2026, "Transferring Domain-Invariant and Adversarially Robust Feature Learning for Unsupervised Domain Adaptation," Applied Soft Computing (IF: 7.2)

Dongyoon Yang*, Jimoon Jeong, Hyunsoo Yoon^†, 2026, "Improving Semiconductor Defect Classification in SEM Images via Domain Adaptation," IEEE Open Journal of the Industrial Electronics Society (IF: 5.2)

Jahoon Jeong*, Youngje Oh*, Dong Hwan Kim, Hyunsoo Yoon^†, 2026, "From Benchmarks to Interpretability: A Holistic Survey of Deep Learning for Time Series Classification," Knowledge-Based Systems (IF: 7.6), 336, 115251

Yongmin Kim*, Yujun Yang*, Hyunsoo Yoon^†, 2026, "Weighted adversarial learning with wavelet kernel and large margin networks for cross-domain fault diagnosis of rolling bearing under class imbalance," Knowledge-Based Systems (IF: 7.6), 335, 115166

Joonkyo Shim*, Hyunsoo Yoon^†, 2026, "Do not overestimate RGB: Improving Image Manipulation Detection and Localization via Universal Modality Fusion," Neurocomputing (IF: 6.5), 663, 131915

Jihun Han*, Yejin Kwon*, Hyunsoo Yoon^†, 2026, "Mamba-Attention: A Self-Supervised Framework for Efficient Remaining Useful Life Prediction," Reliability Engineering & System Safety (IF: 11.0; JCR 98.6%), 265(Pt B), 111492

Yujin Lee*, Harin Lim, Seoyoon Jang, Hyunsoo Yoon^†, 2026, "UniFormaly: Towards Task-Agnostic Unified Anomaly Detection," Pattern Recognition (IF: 7.6; JCR 93.1%), 169, 111820

Jahoon Jeong*, Joonkyo Shim, Hyunsoo Yoon^†, 2025, "TANet: Tri-Aspects Network for Camouflaged Object Detection," IEEE Transactions on Circuits and Systems for Video Technology (IF: 11.1), 35(11), 10728-10741, JCR 94.5%

Yujun Yang*, Jun Kataoka, Sang-Hyuk Yun, Hyunsoo Yoon^†, 2025, "Improving rotating machinery fault diagnosis heterogeneous machines with domain adversarial perturbation in semi-supervised domain adaptation scenario," Journal of Intelligent Manufacturing (IF: 5.9)

Joonkyo Shim*, Hyunsoo Yoon^†, 2025, "LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack," Expert Systems with Applications (IF: 8.655), 279, 127417

Yongmin Kim*, Hyunsoo Yoon^†, 2025, "Integrating Vibration Signal Analysis and Image Embedding for Enhanced Fault Diagnosis in Manufacturing," Scientific Reports, 15, 10398

Jahoon Jeong*, Seungwon Baik, Hyunsoo Yoon^†, Jonghwan Kim^†, 2025, "SimUV-Net: A novel approach for UV signal-based fire detection and classification leveraging supervised contrastive learning," Expert Systems with Applications (IF: 8.655), 277, 127120

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%, 304, 120929

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," npj Digital Medicine, 7:292 (IF: 15.2), JCR 99.1%

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

Hyunsoo Yoon*, Todd J Schwedt, Catherine D. Chong, Oyekanmi Olatunde, Teresa Wu, 2024, "Healthy core: harmonizing brain MRI for supporting multicenter migraine classification studies," Accepted in PLOS ONE (IF: 3.752)

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)

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)

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)

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)

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)

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)

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

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

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

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)

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

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)

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)

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)

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)

Fei Gao, Teresa Wu, Xianghua Chu, Hyunsoo Yoon^†, Yanzhe Xu, Bhavika Patel, 2020, "Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis," IEEE Journal of Biomedical and Health Informatics, 24(1), 39-49, (IF: 5.223)

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, 9(1), 10063, (IF: 4.011)

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), 418-425, (IF: 3.256)

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), 180-191, (IF: 5.224)

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), 231-241, (IF: 5.452)