Publications

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Publications (*first author, †corresponding author)

J31. Jihoon Han*, Yejin Kwon*, Hyunsoo Yoon†, 2025 Mamba-Attention: A Self-Supervised Framework for Efficient Remaining Useful Life Prediction, under review by Reliability Engineering & System Safety (IF: 11), JCR 98.6%, Accepted

J30. 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) JCR 94.5%, Accepted

C1. Yejin Kwon*, Daeun Moon*, Youngje Oh, Hyunsoo Yoon†, 2025 “LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions," Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) Industry Track, Vienna, Austria, Accepted

J29. Yujin Lee*, Harin Lim, Seoyoon Jang,  Hyunsoo Yoon†, 2026 “UniFormaly: Towards Task-Agnostic Unified Anomaly Detection,” Pattern Recognition (IF: 7.5) JCR 93.1%, 169, 111820

J28. 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), Accepted

J27. 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

J26. Yongmin Kim*, Hyunsoo Yoon†, 2025 “Integrating Vibration Signal Analysis and Image Embedding for Enhanced Fault Diagnosis in Manufacturing,” Scientific Reports, 15, 10398

J25. Jahoon Jeong*, Seungwon Baik, Hyunsoo Yoon†, Jonghwan Kim†, 2025 “SimUV-Net: A Novel Approach for Fire Detection & Classification Leveraging Supervised Contrastive Learning,” Expert Systems with Applications (IF: 8.655), 277, 127120

J24. 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

J23. 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% Bio-net 

J22. 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  

J21. 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)

J20. 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 

J19. 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)

J18. 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)

J17. 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) 

J16. 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

J15. 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

J14. 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

J13. 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

J12. 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

J11. 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 

J10. 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

J9. 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 

J8. 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

J7. 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

J6. 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

J5. 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) RIED-Net

J4. 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), 10063. ML-PI

J3. 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) BTL

J2. 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) PTL

J1. 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) 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*, Mohammad T. Khasawneh, Hyunsoo Yoon†, A New Radiomics-based Approach for Predicting Brain Tumor Recurrence,  under review by Scientific Reports 

• Dong Hwan Kim*, Jung Hun Phee, Hyunsoo Yoon†, under anonymous review by NeurIPS 2025

• Jahoon Jeong*, Hyunsoo Yoon†, under anonymous review by NeurIPS 2025

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

• Dongyoon Yang, Jimoon Jeong, Hyunsoo Yoon, under anonymous review by IEEE Open Journal of the Industrial Electronics Society (IF: 5.2)

• Jaeyeon Yoon*, Young Il Oh, Hyunsoo Yoon†, Recommend-Y: An AI Agent for Project Assignment in IT Consulting, under review by Applied Soft Computing (IF: 7.2)

• Joonkyo Shim*,  Hyunsoo Yoon†, Do not overestimate RGB: Improving Image Manipulation Detection and Localization via Universal Modality Fusion, under review by Knowledge-Based Systems (IF: 7.6)

• Youngjae Shim, Seongeun Bae, Sihyun An, Joonkyo Shim, Hyunsoo Yoon†, Kwangwon Ahn†, Facial sentiment and verbal content in harmony: Evidence from policy announcement,  under review by Humanities and Social Sciences Communications

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

• Hyunsoo Yoon, Jinu Lee, Dongyoon Yang, Trasferring Domain-Invariant and Adversarially Robust Feature Learning for Unsupervised Domain Adaptation review by under review by Applied Soft Computing (IF: 7.2)

• Jahoon Jeong*, Youngje Oh*, Dong Hwan Kim, Hyunsoo Yoon†, From Benchmarks to Interpretability: A Holistic Survey of Deep Learning for Time Series Classification, under review by Knowledge-Based Systems (IF: 7.6)

• Jahoon Jeong*, Hyunsoo Yoon†, under anonymous review by AAAI 2026

• Jiwon Kim*, Hyunsoo Yoon†, under anonymous review by AAAI 2026

Working papers

• 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

• Joo Hoon Lee, Hyunseok Jeong, Youngtaek Hong†, Jaeik Jeon, Seung-Ah Lee, Yeonyee E. Yoon, Hyunsoo Yoon†, Hyuk-Jae Chang et al. Echocardiography Unpaired Image-to-Image Translation via Directly Optimized Diffusion Models

• Jung Hun Phee*, Hyunsoo Yoon†, Ergodic Hyper-Graph Abstraction for Time-Series Data

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

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

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

• Harin Lim et al., Simple Prototype Learning for Fully Unsupervised Multi-view Anomaly Detection

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

• Beomkyo Shin et al., SAM-driven explainable and uncertainty-aware Automatic Measurement Model in Echocardiography

• Sewon Kim et al., Trajectory-Aware Semantic Anomaly Detection in Echocardiography via Diffusion Reconstruction 

• Ho Yeon Lee et al., A Domain Generalization Framework for Robust Fault Diagnosis under Unseen Operating Conditions 

• Youngje Oh et al., Interpretable Representation Learning for Multivariate Time Series Classification via Contrastive Learning

• Ga Eun Kim et al., EchoCore: Co-Designining 3D ConvNeXt and Masked Autoencoders for Echocardiography Foundation Model