Publications

Chen, Yu-Hao, Hsiang-Yu Chen, Yu-Chia Chen, Hsuan-Fu Chen, Hsiang-Han Chen. "Hybrid Attention-Enhanced Regularized Convolutional Autoencoder for Robust EEG Feature Extraction in Seizure Prediction." IEEE Access (2025). https://doi.org/10.1109/ACCESS.2025.3608302 (IF: 3.6, Rank: 93/258, Research Area: Computer science, information systems)

Petroni, Giulia, Claudia Galassi, Kenneth H. Gouin III, Hsiang-Han Chen, Aitziber Buqué, Norma Bloy, Takahiro Yamazaki, Ai Sato, Manuel Beltrán-Visiedo, Ginevra Campia, Carlos Jiménez-Cortegana, Aagam Shah, Alexander Kirchmair, Chiara Massa, Claudia Wickenhauser, Carlos Eduardo de Andrea, Belén Navarro-Rubio, Irantzu Serrano-Mendioroz, Esther Navarro Manzano, Alexandra M. Satty, Brady Rippon, Francesca Finotello, Zlatko Trajanoski, Xi Kathy Zhou, Joseph M. Scandura, Elena García-Martínez, Francisco Ayala de la Peña, María Esperanza Rodríguez-Ruiz, Barbara Seliger, Víctor Sánchez-Margalet, Luis de la Cruz-Merino, Reva K. Basho, Stephen L. Shiao, Heather L. McArthur, Silvia C. Formenti, Simon R. V. Knott & Lorenzo Galluzzi. "IL-17A-secreting γδ T cells promote resistance to CDK4/CDK6 inhibitors in HR+HER2− breast cancer via CX3CR1+ macrophages." Nat Cancer (2025). https://doi.org/10.1038/s43018-025-01007-z  (IF: 28.5, Rank: 11/326, Research Area: Oncology) 

Lee, Chih-Hong, Chi-Hung Juan, Hsiang-Han Chen, Jia-Pei Hong, Ting-Wei Liao, Isobel French, Yen-Shi Lo, Yi-Ru Wang, Mei-Ling Cheng, Hsiu-Chuan Wu, Chiung-Mei Chen, Kuo-Hsuan Chang. "Long-Range Temporal Correlations in Electroencephalography for Parkinson's Disease Progression." Movement Disorders 40.2, pp. 266-275 (2025). (IF: 7.4, Rank: 17/280, Research Area: Clinical neurology) 

Cisterna-García, Alejandro, Aleksandra Beric, Muhammad Ali, Jose Adrian Pardo, Hsiang-Han Chen, Maria Victoria Fernandez, Joanne Norton et al. "Cell-free RNA signatures predict Alzheimer’s disease." Iscience 26, no. 12 (2023). (IF: 5.8, Rank: 15/73, Research Area: Multidisciplinary sciences) 

Chen, Hsiang-Han, Abdallah Eteleeb, Ciyang Wang, Maria Victoria Fernandez, John Budde, Kristy Bergmann, John C. Morris, Richard J. Perrin, Randall J. Bateman, Eric McDade, Chengjie Xiong, Alison Goate, Martin Farlow, Jasmeer Chhatwal, Peter R Schofield, Helena Chui, Oscar Harari, Carlos Cruchaga, Laura Ibanez, Dominantly Inherited Alzheimer Network. “Circular RNA Detection Identifies circPSEN1 Alterations in Brain Specific to Autosomal Dominant Alzheimer Dis-ease.” Acta Neuropathol Commun 10(29), pp. 1–11 (2022), https://doi.org/10.1186/s40478-022-01328-5. (IF: 7.801, Rank: 28/273, Research Area: Neurosciences)

Chen, Hsiang-Han, Han-Tai Shiao, and Vladimir Cherkassky. “Online Prediction of Lead Seizures using Long-term iEEG Recordings.” Brain Sciences, 11(12):1554, pp. 1–23 (2021), https://doi.org/10.3390/brainsci11121554. (IF: 3.394, Rank: 157/273, Research Area: Neurosciences)

Chen, Hsiang Han and Vladimir Cherkassky. “Performance Metrics for Online Seizure Prediction.” Neural Networks, 128, pp. 22–32 (2020), https://doi.org/10.1016/j.neunet.2020.04.022. (IF: 8.050, Rank: 15/135, Research Area: Computer Science, Artificial Intelligence, Rank: 25/273, Research Area: Neurosciences)

Josephine, Nathania, Yi-Ju Lee, Pei-Chen Chang, Hsiang-Han Chen, Ko-Chih Wang. "SG-RAD: A Visual Analytics System in Subgroup and Risk Factors Analysis and Discovery." 2024 IEEE 17th Pacific Visualization Conference (PacificVis). IEEE, 2024, https://doi.org/10.1109/PacificVis60374.2024.00047

Cherkassky, Vladimir, Hsiang-Han Chen, and Han-Tai Shiao. "Group Learning for High-Dimensional Sparse Data." 2019 International Joint Conference on Neural Networks (IJCNN), pp. 1–10 (2019), https://doi.org/10.1109/IJCNN.2019.8852183. 

李傑、孔令傑、李怡志、孫誠、朱宸佐、王科植、陳冠宇、吳俊逸、林筱玫、吳信輝、許懷中、梁馨予、劉明機、陳翔瀚（2024年05月）。AI 的發展與應用 : 一本人工智慧的科普書 （ISBN：6263288825）（1）。台北，台灣：永齡教育基金會。

Cherkassky, Vladimir and Hsiang-Han Chen. “Machine Learning for Biomedical Engineering.” Kutz, Myer, (ed.), Biomedical Engineering Fundamentals, 3e., MPS Ltd (2021).

Chen, Hsiang-Han, Jing-Jia Fu, Hui-Jou Chiang, Bo-Hong Lin. "Assessing the Impact of EEG Denoising Techniques on AI Model Performance in Predictive Tasks." 2025智慧運算論壇, July 2025, Taipei, Taiwan (最佳論文佳作獎)

Chen, Bo-Xuan and Hsiang-Han Chen. "EEG Artifact Recognition Using BERT-based Language Models." 2025 IEEE 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2025, Copenhagen, Denmark.

Chen, Yu-Hao and Hsiang-Han Chen. "Unsupervised EEG Feature Learning for Seizure Prediction Based on Convolutional Autoencoder." 2024 IEEE 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2024, Orlando, Florida, USA.

Liu, Tzu-Hao, Liang-Chuan Lai, Tzu-Pin Lu, Mong-Hsun Tsai, Eric Y. Chuang, Hsiang-Han Chen. "Utilizing Autoencoders for COVID-19 Anomaly Detection in Point-of-Care Ultrasound (POCUS)." 2024 IEEE 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2024, Orlando, Florida, USA.

Chuang, Tsung Hsien, Liang-Chuan Lai, Tzu-Pin Lu, Mong-Hsun Tsai, Hsiang-Han Chen, Eric Y. Chuang. "Enhancing single-cell RNA sequencing analysis in cancer research: A machine learning framework based on LightGBM for automated cell type annotation." Cancer Research 84.6_Supplement (2024): 878-878.

Tien, Geng-Yun, Liang-Chuan Lai, Tzu-Pin Lu, Mong-Hsun Tsai, Hsiang-Han Chen, Eric Y. Chuang. "Prediction of gene mutation from colorectal adenocarcinoma whole slide images via integrated deep learning pipeline." Cancer Research 84.6_Supplement (2024): 4938-4938.

Chen, Hsiang-Han, Abdallah Eteleeb, Ciyang Wang, John Budde, Kristy Bergmann, Oscar Harari, Carlos Cruchaga, Laura Ibanez. "Circular RNA Detection Identifies circPSEN1 Alterations in Brain Specific to Autosomal Dominant Alzheimer Dis-ease". Alzheimer's & Parkinson's Diseases Conference, March 2022, Barcelona, Spain.

Chen, Hsiang-Han, Ciyang Wang, Alejandro Cisterna, Abdallah Eteleeb, Oscar Ha-rari, Carlos Cruchaga, Bruno A. Benitez, Laura Ibanez. "Dysregulation of Circu-lar RNAs in Parkinson’s Disease’s Blood". Alzheimer's & Parkinson's Diseases Conference, March 2022, Barcelona, Spain.

Chen, Hsiang-Han. "Prediction of Alzheimer disease using plasma RNA sequences". Abstract presented at: Workshop: Application of Machine Learning Tools to Omics in Neuroscience, February 2021, St. Louis, MO.

Chen, Hsiang-Han. "Alterations of circular PSEN1 are specific to Autosomal Domi-nant Alzheimer Disease Brains". Poster presented at: Neuroscience Retreat - Wash-ington University in St. Louis, September 2021, St. Louis, MO.

Chen, Hsiang-Han and Vladimir Cherkassky. "Performance Metrics for Online Sei-zure Prediction". Poster presented at: 6th Annual Institute for Engineering in Medi-cine (IEM) Conference and Retreat, April 2018, Minneapolis, MN. 

Chen, Hsiang-Han, Han-Tai Shiao, and Vladimir Cherkassky. "Online Seizure Predic-tion Using Long-term iEEG Records". Poster presented at: 5th Annual Institute for Engineering in Medicine (IEM) Conference and Retreat, November 2017, Minne-apolis, MN. 

Chen, Hsiang-Han and Vladimir Cherkassky. "Comparison of Machine Learning Methods for Assigning Serologic Specificities to HLA Alleles". Poster presented at: 8th Annual BICB Research Symposium, January 2016, Rochester, MN.

Chen, Hsiang-Han, Han-Tai Shiao, and Vladimir Cherkassky. "VC-based Signal De-noising for iEEG Data". Poster presented at: 4th Annual Institute for Engineering in Medicine (IEM) Conference and Retreat, September 2016, Minneapolis, MN. 

Chen, Hsiang-Han. “Applications of DatConference Posters/Presentationsa Analytic Modeling for Seizure Prediction.” Diss. University of Minnesota (2021).