%E7%9B%A7%E9%B4%BB%E8%88%88 | 國立陽明交通大學統計學研究所

職稱	特聘教授
姓名	盧鴻興
聯絡電話	886-3-573-1870
聯絡地址	新竹市大學路1001號國立陽明交通大學統計學研究所,綜合一館 418室
電子郵件	henryhslu@nycu.edu.tw
個人網址	https://misg.stat.nycu.edu.tw/
授課領域	科學計算影像科學生物資訊
研究專長	科學計算影像科學生物資訊

年度	論文名稱
2025	Deng, L.-Y., Nirman Kumar, Lu, H. H.-S., Yang, C.-C., Developments in Secure Random Number Generators, WIREs Computational Statistics, Volume 17, Issue 1, doi/10.1002/wics.70011, 2025
2025	Wu, J. C.-H., Chien, T.-C., Chang, C.-C., Chang, H.-I., Tsai, H.-J., Lan, M.-Y., Wu, N.-C., Lu, H. H.-S., Learning-Based Progression Detection of Alzheimer’s Disease Using 3D MRI Images, International Journal of Intelligent Systems, Volume 2025, Article ID 3981977, 18 pages., 2025
2025	Su, T.-Y., Wu, J. C.-H., Chiu, W.-C., Chen, T.-J., Lo, W.-L., Lu, H. H.-S., Automatic classification of temporomandibular joint disorders by magnetic resonance imaging and convolutional neural networks, Journal of Dental Sciences, 20(1):p393-401, doi:10.1016/j.jds.2024.06.001, 2025
2024	Wu, J. C.-H., Lin, Y.-S., Lu, H. H.-S., Hang, H.-M., Online Linearized Confidence-Weighted Learning on a Budget, Advanced Intelligent Systems, Article No. 2400345, doi: 10.1002/aisy.202400345., 2024
2024	Hsieh, H.-C., Chen, C.-Y., Chou, C.-H., Peng, B.-Y., Sun, Y.-C., Lin, T.-W., Chien, Y., Chiou, S.-H., Hung, K.-F., Lu, H.H.-S., Deep learning-based automatic image classification of oral cancer cells acquiring chemoresistance in vitro, PLoS ONE, 19(11): e0310304., 2024
2024	Chen, J.-J., Su, T.-Y., Huang, C.-C., Yang, T.-H., Chang, Y.-H., Lu, H. H.-S., Classification of coronary artery disease severity based on SPECT MPI polarmap images and deep learning: A study on multi-vessel disease prediction, Digital Health, Volume 10: 1–13., 2024
2024	Hsu, Y.-L., Chen, P.-C., Tsai, Y.-F., Wei, C.-H., Wu, L. S.-H., Hsieh, K.-S., Hsieh, M.-H., Lai, H.-C., Lin, C.-H., Lin, H.-C., Chen, C.-H., Chen, A.-C., Lin, H.-C., Chou, I.-C., Soong, W.-J., Hwang, K.-P., Lu, H. H.-S., Pawankar, R., Tsai, H.-J., Wang, J.-Y., Clinical Features and Vaccination Effects among Children with Post-Acute Sequelae of COVID-19 in Taiwan, Vaccines, 12(8), 910., 2024
2024	Wu, J. C.-H., Liao, N.-C., Yang, T.-H., Hsieh, C.-C., Huang, J.-A., Pai, Y.-W., Huang, Y.-J., Wu, C.-L., Lu. H. H.-S., Deep-Learning-Based Automated Anomaly Detection of EEGs in Intensive Care Units, Bioengineering , 11(5), 421., 2024
2024	Liu, C.-M., Chen, W.-S., Chang, S.-L., Hsieh, Y.-C., Hsu, Y.-H., Chang, H.-X., Lin, Y.-J., Lo, L.-W., Hu, Y.-F., Chung, F.-P., Chao, T.-F., Tuan, T.-C., Liao, J.-N., Lin, C.-Y., Chang, T.-Y., Kuo, L., Wu, C.-I., Wu, M.-H., Chen, C.-K., Chang, Y.-Y., Shiu, Y.-C., Lu, H. H.-S., Chen, S.-A., Use of artificial intelligence and I-Score for prediction of recurrence before catheter ablation of atrial fibrillation, International Journal of Cardiology, doi:10.1016/j.ijcard.2024.131851, 2024
2024	Chang, T.-H., Chen, Y.-D., Lu, H. H.-S., Wu, J. L. M., Mak, K. H., Yu, C.-S., Specific patterns and potential risk factors to predict 3-year risk of death among non-cancer patients with advanced chronic kidney disease by machine learning, Medicine, 103(7):p e37112., 2024
2024	Chen, W.-W., Tseng, C.-C., Huang, C.-C., Lu, H. H.-S., Improving deep-learning electrocardiogram classification with an effective coloring method, Artificial Intelligence in Medicine, Volume 149, 102809. , 2024
2023	Chen, H.-H., Lu, H. H.-S., Weng, W.-H., Lin, Y.-H., Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study, Journal of Medical Internet Research, 25:e48834., 2023
2023	Wu, J. C.-H., Yu, H.-W., Tsai, T.-H., Lu, H. H.-S., Dynamically Synthetic Images for Federated Learning of Medical Images, Computer Methods and Programs in Biomedicine, S0169-2607(23)00511-4., 2023
2023	Deng, L.-Y., Yang, C.-C., Dale Bowman, Dennis K. J. Lin, Lu, H. H.-S., Big Data Model Building using Dimension Reduction and Sample Selection, Journal of Computational and Graphical Statistics, 2023
2023	Huang, S.-J., Chen, C.-C., Kao, Y., Lu, H. H.-S., Feature-aware unsupervised lesion segmentation for brain tumor images using fast data density functional transform, Scientific Reports, 13, Article number:13582, 2023
2023	Lee, Y.-H., Hsieh, M.-T., Chang, C.-C., Tasi, Y.-L., Chou, R.-H., Lu, H. H.-S., Huang, P.-H., Improving detection of obstructive coronary artery disease with an artificial intelligence-enabled electrocardiogram algorithm, Atherosclerosis, doi: 10.1016/j.atherosclerosis.2023.117238., 2023
2023	Deng, L.-Y., Winter, B. R., Shiau, J.-J. H., Lu, H. H.-S., Kumar, N., Yang, C.-C., Parallelizable efficient large order multiple recursive generators, Parallel Computing, doi: 10.1016/j.parco.2023.103036, 2023
2023	Su, T.-Y., Chen, J.-J., Chen, W.-S., Chang, Y.-H., Lu, H. H.-S., Deep learning for myocardial ischemia auxiliary diagnosis using CZT SPECT myocardial perfusion imaging, Journal of the Chinese Medical Association 86(1):p 122-130., 2023
2022	Tsai, M.-C., Lu, H. H.-S., Chang, Y.-C., Huang, Y.-C., Fu, L.-S., Automatic Screening of Pediatric Renal Ultrasound Abnormalities: Deep Learning and Transfer Learning Approach, JMIR Medical Informatics, 10(11):e40878, 2022
2022	Kao, C.-L., Lin, C.-M., Chang, S.-W., Liu, C.-K., Ou, Y.-H., Lu, H. H.-S., The age factor influencing long-term physical functionality in stroke patients undergoing intra-arterial thrombectomy treatment, Medicine, 101(38):e30712, 2022
2022	Ko, Y.-C., Chen, W.-S., Chen, H.-H., Hsu, T.-K., Chen, Y.-C., Liu, C.J.-L., Lu, H. H.-S., Widen the Applicability of a Convolutional Neural-Network-Assisted Glaucoma Detection Algorithm of Limited Training Images across Different Datasets, Biomedicines, 10, 1314., 2022
2022	Chou, P.-H., Jou, T. H.-T., Wu, H.-T. H., Yao, Y.-C., Lin, H.-H., Chang, M.-C., Wang, S.-T., Lu, H. H.-S., Chen, H.-H., Ground truth generalizability affects performance of the artificial intelligence model in automated vertebral fracture detection on plain lateral radiographs of the spine, The Spine Journal, 22, 4, 511-523., 2022
2021	Lin, G.-M., Lu, H. H.-S., Electrocardiographic Machine Learning to Predict Left Ventricular Diastolic Dysfunction in Asian Young Male Adults, IEEE Access, 9, 49047-49054., 2021
2021	Sun, Y.-C., Hsieh, A.-T., Fang, S.-T., Wu, H.-M., Kao, L.-W., Chung, W.-Y., Chen, H.-H, Liou, K.-D., Lin, Y.-S., Guo, W.-Y., Lu, H. H.-S., Can 3D artificial intelligence models outshine 2D ones in the detection of intracranial metastatic tumors on magnetic resonance images?, Chinese Medical Association, 84, 10, 956-962., 2021
2021	Li, C.-C., Wu, M.-Y., Sun, Y.-C., Chen, H.-H., Wu, H.-M., Fang, S.-T., Chung, W.-Y., Guo, W.-Y., Lu, H. H.-S., Ensemble classifcation and segmentation for intracranial metastatic tumors on MRI images based on 2D U-nets, Scientific Reports, 11, Article number: 20634., 2021
2021	Huang, T.-Y., Zhan, S.-Q., Chen, P.-J., Yang, C.-W., Lu, H. H.-S., Accurate diagnosis of endoscopic mucosal healing in ulcerative colitis using deep learning and machine learning, Journal of the Chinese Medical Association, 84, 7, 678-681., 2021
2021	Li, Y.-C., Chen, H.-H., Lu, H. H.-S., Wu, H.H.-T., Chang, M.-C., Chou, P.-H., Can a Deep-learning Model for the Automated Detection of Vertebral Fractures Approach the Performance Level of Human Subspecialists?, Clinical Orthopaedics and Related Research, 479(7):p 1598-1612., 2021
2021	Chou, Y.-B., Hsu, C.-H., Chen, W.-S., Chen, S.-J., Hwang, D.-K., Huang, Y.-M., Li, A.-F., Lu, H. H.-S., Deep Learning and Ensemble Stacking Technique for Differentiating Polypoidal Choroidal Vasculopathy from Neovascular Age-Related Macular Degeneration, Scientific Reports, 11, Article number: 7130., 2021
2021	Tai, Y.-L., Huang, S.-J., Chen, C.-C., Lu, H. H.-S., Computational Complexity Reduction of Neural Networks of Brain Tumor Image Segmentation by Introducing Fermi–Dirac Correction Functions, Entropy, 23(2), 223., 2021
2021	Chen, J.-J., Su, T.-Y., Chen, W.-S., Chang, Y.-H., Lu, H. H.-S., Convolutional Neural Network in the Evaluation of Myocardial Ischemia from CZT SPECT Myocardial Perfusion Imaging: Comparison to Automated Quantification, Applied Sciences, 11(2), 514., 2021
2020	Su, F.-Y., Lin, Y.-P, Lin, F., Yu, Y.-S., Kwon, Y., Lu, H. H.-S., Lin, G.-M., Comparisons of traditional electrocardiographic criteria for left and right ventricular hypertrophy in young Asian women: the CHIEF heart study., Medicine, 99:42, e22836. , 2020
2020	Wu, C.-H., Lu, H. H.-S., Hang, H.-M., Budgeted Passive-Aggressive Learning for Online Multiclass Classification, IEEE access, 8, 227420-227437., 2020
2020	Liu, C.-M., Chang, S.-L., Chen, H.-H., Chen, W.-S., Lin, Y.-J., Lo, L.-W., Hu, Y.-F., Chung, F.-P., Chao, T.-F., Tuan, T.-C., Liao, J.-N., Lin, C.-Y., Chang, T.-Y., Wu, C.-I., Kuo, L., Wu, M.-H., Chen, C.-K., Chang, Y.-Y., Shiu, Y.-C., Lu, H. H.-S., Chen, S.-A., The Clinical Application of the Deep Learning Technique for Predicting Trigger Origins in Patients With Paroxysmal Atrial Fibrillation With Catheter Ablation, Circulation: Arrhythmia and Electrophysiology, Vol 13, No: 11., 2020
2020	Chen, K.-C., Yu, H.-R., Chen, W.-S., Lin, W.-C., Lee, Y.-C., Chen, H.-H., Jiang, J.-H., Su, T.-Y., Tsai, C.-K., Tsai, T.-A., Tsai, C.-M., Lu, H. H.-S., Diagnosis of common pulmonary diseases in children by X-ray images and deep learning, Scientific Reports, 10, Article number: 17374., 2020
2020	Lin, G.-M., Lu, H. H.-S., A 12-Lead ECG-Based System With Physiological Parameters and Machine Learning to Identify Right Ventricular Hypertrophy in Young Adults, IEEE Journal of Translational Engineering in Health and Medicine, Article Number： 1900510., 2020
2020	Chen, H.-H., Liu, C.-M., Chang, S.-L., Chang, P. Y.-C., Chen, W.-S., Pan, Y.-M., Fang, S.-T., Zhan, S.-Q., Chuang, C.-M., Lin, Y.-J., Shiu, Y.-C., Chen, S.-A., Lu, H. H.-S., Automated extraction of left atrial volumes from two-dimensional computer tomography images using a deep learning technique, International Journal of Cardiology, 316, 272-278, 2020
2020	Su, F.-Y., Wang, S.-H., Lu, H. H.-S., Lin, G.-M., Association of Tobacco Smoking with Physical Fitness of Military Males in Taiwan: The CHIEF Study, Canadian Respiratory Journal, Article ID 5968189.（SCI）, 2020
2019	Simak, M., Lu, H. H.-S., Yang, J.-M., Boolean function network analysis of time course liver transcriptome data to reveal novel circadian transcriptional regulators in mammals, Journal of the Chinese Medical Association 82, 11, 872–880.（SCI）, 2019
2018	Lin, C.-M., Liu, C.-K., Chang, Y.-J., Chen, W.-L., Lu, H. H.-S., Reversed ophthalmic artery flow following ischemic stroke: A possible predictor of outcomes following carotid artery stenting., Neurological Research, to appear., 2018
2018	Huang, W.-Q., Lin, W.-W., Lu, H. H.-S., Yau, S. T., iSIRA: Integrated Shift-Invert Residual Arnoldi Method for Graph Laplacian Matrices from Big Data, Journal of Computational and Applied Mathematics, to appear, 2018. （SCI）, 2018
2018	Fang, S. T., Cheng, D. E., Huang, Y. T., Hsu, T. Y., Lu, H. H.-S., A Pilot Study of the Influence of Probiotics on Hair Toxic Element Levels After Long-Term Supplement with Different Lactic Acid Bacteria Strains, Journal of Probiotics and Health, to appear, 2018
2018	Ko, M. L., Wei, K. L., Ho, Y.-J., Peng, P. H., Lu, H. H.-S., Knowledge of Medications Among Patients with Glaucoma in Taiwan, Journal of the Formosan Medical Association, to appear, （SCI）, 2018
2018	Deng, L.-Y. , Shiau, J.-J. H., Lu, H. H.-S., and Bowman, D., Secure and Fast Encryption (SAFE) with Classical Random 1 Number Generators, ACM Transactions on Mathematical Software, to appear, 2018. （SCI）, 2018
2018	Chen, S.-H., Kuo, W.-Y., Su, S.-Y., Chung, W.-C., Ho, J.-M., Lu, H. H.-S. , Lin, C.-Y., gene profiling deconvolution approach to estimating immune cell composition from complex tissues, BMC Bioinformatics, 19（Suppl 4）:154 （SCI）, 2018
2017	Chen, C.-C., Juan, H.-H., Tsai, M.-Y., Lu, H. H.-S., Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning, 2017, Scientific Reports, accepted. （SCI）, 2017
2017	Chen, P. J., Lin, M. C., Lai, M. J., Lin, J. C., Lu, H. H. S., Tseng, V. S., Accurate Classification of Diminutive Colorectal Polyps Using Computer-aided Analysis, Gastroenterology（SCI）, 2017
2017	Simak, M., Yeang, C.-H, Lu, H. H.-S., Exploring Candidate Biological Functions by Boolean Function Networks for Saccharomyces cerevisiae, PLoS ONE 12（10）: e0185475. （SCI）, 2017
2017	Chen, C.-H., Kuo, H.-Y., Hsu, P.-J., Chang, C.-M., Chen, J.-Y., Lu, H. H.-S., Chen, H. Y., Liou, M.-L., Clonal spread of carbapenem-resistant Acinetobacter baumannii across a community hospital and its affiliated long-term care facilities: A cross sectional study, Journal of Microbiology, Immunology and Infection, accepted. （SCI）, 2017
2017	Hung, H., Lu, H. H.-S., A review on the generalization of sufficient dimension reduction methods with the additional information, Wiley Interdisciplinary Reviews: Computational Statistics, 9:e1401., 2017
2017	Lin, C.-M., Su, J.-C., Chang, Y.-J., Liu, C.-K., Lu, H. H.-S., Jong, Y.-J., Is carotid sonography a useful tool for predicting functional capabilities in ischemic stroke patients following carotid artery stenting?, Medicine, 2017, 96, 12, e6363. （SCI）, 2017
2016	Yang, S.-H.,Chen, Y.-Y., Lin, S.-H., Liao, L.-D., Lu, H. H.-S., Wang, C.-F., Chen, P.-C., Lo, Y.-C., Phan, T. D., Chao, H.-Y., Lin, H.-C., Lai, H.-Y., Huang, W.-C., A sliced inverse regression (SIR) decoding the forelimb movement from neuronal spikes in the rat motor cortex, Frontiers in Neuroscience （SCI）, 2016
2016	Chen, C.-H., Tu, C.-C, Kuo, H.-Y., Zeng, R.-F., Yu, C.-S., Lu, H. H.-S., Liou, M.-L., Dynamic change of surface microbiota with different environmental cleaning methods between two wards in a hospital, Applied Microbiology and Biotechnology. doi:10.1007/s00253-016-7846-4 （SCI）, 2016
2016	Chen, S., Deng, L.-Y., Bowman, D., Shiau, J.-J. H., Wong, T.-Y., Madahian, B., Lu, H. H.-S., Phylogenetic tree construction using trinucleotide usage profile (TUP), BMC Bioinformatics, 2016, 17（Suppl 13）:381. （SCI）, 2016
2016	Lin, C.-M., Chang, Y.-J., Liu, C.-K., Yu, C.-S., Lu, H. H.-S., First-ever ischemic stroke in elderly patients: predictors of functional outcome following carotid artery stenting, Clinical Interventions in Aging, 2016, 11:985-995. （SCI）, 2016
2016	Yu, C.-S., Lin, C.-M., Liu, C.-K., Lu, H. H.-S., Impact of baseline characteristics on outcomes of carotid artery stenting in acute ischemic stroke patients, Therapeutics and Clinical Risk Management, 2016:12 495–504. （SCI）, 2016
2016	Lin, C.-M., Chang, Y.-J., Liu, C.-K., Yu, C.-S., Lu, H. H.-S., Role of Extracranial Carotid Duplex and Computed Tomography Perfusion Scanning in Evaluating Perfusion Status of Pericarotid Stenting, BioMed Research International, vol. 2016, Article ID 7051856, 7 pages, 2016. doi:10.1155/2016/7051856. （SCI）, 2016
2016	Hung, H., Liu, C.-Y., Lu, H. H.-S., Sufficient dimension reduction with additional information., Biostatistics, 17, 3, 405-421., 2016
2014	Helou, E. S., Censor, Y., Chen. T. B., Chen, I-L., De Pierro, A., String-Averaging Expectation-Maximization for Maximum Likelihood Estimation in Emission Tomography, Inverse Problems, 2014, 30 055003. (SCI), 2014
2014	Chen, T.-B, Lu, H. H.-S., Kim, H.-K., Son, Y.-D., and Cho, Z. H., Accurate 3D reconstruction by a new PDS-OSEM algorithm for HRRT, Radiation Physics and Chemistry, 2014, 96, 107–114. (SCI), 2014
2012	Chueh, T. H., Chen, T.-B., Lu, H. H.-S., Ju, S.-S., Tao, T.-H., and Shaw, J. H., Statistical Prediction of Emotional States by Physiological Signals with MANOVA and Machine Learning, International Journal of Pattern Recognition and Artificial Intelligence, 2012, 26, 1250008. (SCI), 2012
2012	Chen, T.-B, Chen, J.-C., and Lu, H. H.-S., Segmentation of 3D microPET Images of the Rat Brain via the Hybrid Gaussian Mixture Method with Kernel Density Estimation, Journal of X-ray Science and Technology, 2012, 20, 339-349. (SCI), 2012
2012	Suen, S., Lu, H. H.-S., and Yeang, C. H., Evolution of domain architectures and catalytic functions of enzymes in metabolic systems, Genome Biology and Evolution, 2012. (SCI) [Epub ahead of print], 2012
2012	Chueh, T.-H., and Lu, H. H.-S., Inference of Biological Pathway from Gene Expression Profiles by Time Delay Boolean Networks, PLOS ONE 7（8）: e42095, 2012. （SCI）, 2012
2012	Chiang, S, Swamy, K. B., Hsu, T. W., Tsai, Z. T., Lu, H. H.-S., Wang, D., Tsai, H. K., Analysis of the association between transcription factor binding site variants and distinct accompanying regulatory motifs in yeast, Gene. 2012 Jan 10;491(2):237-45. Epub 2011 Sep 16. (SCI), 2012
2012	Deng, L.-Y. , Shiau, J.-J. H., and Lu, H. H.-S., Efficient computer search of large-order multiple recursive, Journal of Computational and Applied Mathematics, 236, 3228–3237, (SCI), 2012
2011	Deng, L.-Y. , Shiau, J.-J. H., and Lu, H. H.-S., Large-order multiple recursive generators with modulus $2^{31}-1$, INFORMS Journal on Computing, Published online before print, October 17, 2011. Published in Vol. 24, No. 4, Fall 2012, pp. 636–647. (SCI), Oct. 2011
2011	Wang, H., Lu, H. H.-S., Chueh, T.-H., Constructing Biological Pathways by a Two-Step Counting Approach., PLOS ONE 6（6）: e20074.（SCI）, 2011
2010	Lu, H. H.-S., and Wu, H. M., Visualization, Screening, and Classification of Cell Cycle-Regulated Genes in Yeast, International Journal of Systems and Synthetic Biology, 1(2), 185-198., 2010
2010	Cheng, J. H., Wang, Y., Chen, P. Y., Chen, T.-B., Chen, C.-J., Li, G.-C., and Lu, H. H.-S., Mine Barcode of Life: Information Visualization and Fusion for the Environment and Society, International Journal of Systems and Synthetic Biology, 1(1), 63-70., 2010
2010	Deng, L.-Y. , Lu, H. H.-S., and Chen, T.-B., 64-Bit and 128-bit DX random number generators, Computing, 89, 1, 27-43.(SCI), 2010
2010	Emerson, J. J., Hsieh, L.-C., Sung, H.-M., Wang, T.-Y., Huang, C.-J., Lu, H. H.-S., Lu, M.-Y. J., Wu, S.-H., and Li, W. H., Natural selection on cis and trans regulation in yeasts, Genome Research, 20, 826-836. (SCI), 2010
2009	Tu, K. K.-W., Lee, J. C.-s., and Lu, H. H.-S., A Novel Statistical Method for Automatically Partitioning Tools According to Engineers' Tolerance Control in Process Improvement, IEEE Transactions on Semiconductor Manufacturing. 22, 3, 373 - 380 (SCI), 2009
2009	Scharfe, C., Lu, H. H.-S., Neuenburg, J. K., Allen, E. A., Li, G.-C., Klopstock, T., Cowan, T. M., Enns, G. M., and Davis, R. W., Mapping Gene Associations in Human Mitochondria using Clinical Disease Phenotypes, PLoS Computational Biology 5(4): e1000374. (SCI), 2009
2008	Lu, H. H.-S., Chen, C.-M., Huang, Y.-M., and Wu, J.-S., Computer-Aided Diagnosis of Liver Cirrhosis by Simultaneous Comparisons of the Ultrasound Images of Liver and Spleen, Journal of Data Science, 6, 429-448, 2008
2008	Chen, T.-B., Lu, H. H.-S., Lee, Y.-S., and Lan, H.-J., Segmentation of cDNA Microarray Images by Kernel Density Estimation, Journal of Biomedical Informatics, 41, 1021–1027 (SCI), 2008
2008	Tzeng, J., Lu, H. H.-S., and Li, W.-H., Multidimensional Scaling for Large Genomic Data Sets, BMC Bioinformatics, 9:179 (SCI), 2008
2008	Chen, T.-B, Chen, J.-C., Lu, H. H.-S., and Liu, R.-S., MicroPET Reconstruction with Random Coincidence Correction via a Joint Poisson Model, Medical Engineering & Physics, 30, 6, 680-686 (SCI), 2008
2007	Wu, H.-M., and Lu, H. H.-S., Iterative Sliced Inverse Regression for Segmentation of Ultrasound and MR Images, Pattern Recognition, 40, 12, 3492-3502 (SCI), 2007
2006	Tsai, H.-K., Huang, G. T.-W., Chou, M.-Y., Lu, H. H.-S., and Li, W.-H., Method for identifying transcription factor binding sites in yeast, Bioinformatics, 22, 14, 1675–1681. (SCI), 2006
2006	Ho, J., Hwang, W.-L., Lu, H. H.-S., and Lee, D. T., Gridding Spot Centers of Smoothly Distorted Microarray Images, IEEE Transactions on Image Processing , 15, 2, 342-354. (SCI), 2006
2005	Tsai, H.-K., Lu, H. H.-S., and Li, W.-H., Statistical methods for identifying yeast cell cycle transcription factors, PNAS (Proceedings of the National Academy of Sciences of the United States of America), 102, 38, 13532-13537. (SCI), 2005
2005	Li, L., and Lu, H. H.-S., Explore Biological Pathways from Noisy Array Data by Directed Acyclic Boolean Networks, Journal of Computational Biology, 12, 2, 170-185. (SCI), 2005
2005	Zhang, L., Lu, H. H.-S., Chung, W.-Y., Yang, J., and Li, W.-H., Patterns of Segmental Duplications in the Human Genome, Molecular Biology and Evolution, 22, 1, 135-141. (SCI), 2005
2004	Chen, L., Lu, H. H.-S., and Chang, H.-C., Utilization rates of preventive health services provided for children by the National Health Insurance Program, 1996-2001, Taiwan Journal of Public Health, 23, 1, 37-44, 2004
2004	Wu, H.-M., and Lu, H. H.-S., Supervised Motion Segmentation by Spatial-Frequential Analysis and Dynamic Sliced Inverse Regression, Statistica Sinica, 14, 413-430. (SCI), 2004
2003	Qin, H., Lu, H. H.-S., Wu, W. B., and Li, W.-H., Evolution of the yeast protein interaction network, PNAS (Proceedings of the National Academy of Sciences of the United States of America), 100, 22, 12820-12824. (SCI), 2003
2003	Lu, H. H.-S., Huang, S.-Y., and Lin, F.-J., Generalized Cross-Validation for Wavelet Shrinkage in Nonparametric Mixed-Effects Models, Journal of Computational and Graphical Statistics, 12, 3, 714-730. (SCI), 2003
2003	Chen, C.-M., Lu, H. H.-S., and Chen, Y.-L., A Discrete Region Competition Approach Incorporating Weak Edge Enhancement for Ultrasound Image Segmentation, Pattern Recognition Letters, 24, 693-704. (SCI), 2003
2002	Chen, C.-M., Lu, H. H.-S., and Su, B.-S., Cell-Based Region Competition for Ultrasound Image Segmentation, Journal of Medical and Biological Engineering, 22, 2, 59-66, 2002
2002	Chen, C.-M., Lu, H. H.-S., and Huang, Y.-S., Cell-Based Dual Snake Model: A New Approach to Extracting Highly Winding Boundaries in The Ultrasound Images, Ultrasound in Medicine and Biology, 28, 8, 1061-1073. (SCI), 2002
2002	Gu, Z., Nicolae, D., Lu, H. H.-S., and Li, W.-H., Rapid divergence in expression between duplicate genes inferred from microarray data, Trends in Genetics, 18, 12, 609-613. (SCI), 2002
2001	Chen, C.-M., Lu, H. H.-S., and Hsiao, A.-T., A Dual Snake Model of High Penetrability for Ultrasound Image Boundary Extraction, Ultrasound in Medicine and Biology, 27, 12, 1651-1665. (SCI), 2001
2001	Chen, C.-M., Lu, H. H. S., and Hsu, Y.-P., Cross-Reference Maximum Likelihood Estimate Reconstruction for Positron Emission Tomography, Biomedical Engineering-Applications, Basis and Communications, 13, 4, 190-198. (EI), 2001
2001	Tu, K. Y., Chen, T. B., Lu, H. H. S., Liu, R. S., Chen, K. L., Chen, C. M., and Chen, J. C., Empirical Studies of Cross-Reference Maximum Likelihood Estimate Reconstruction for Positron Emission Tomography, Biomedical Engineering-Applications, Basis and Communications, 13, 1, 1-7. (EI), 2001
2001	Huang, H.-C., Chen, C.-M., Wang, S.-D., and Lu, H. H.-S., Adaptive Symmetric Mean Filter: A New Noise Reduction Approach Based on the Slope Facet Model, Applied Optics, 40, 29, 5192-5205. (SCI), 2001
2001	Chen, C.-M., Lu, H. H.-S., and Han, K.-C., A Textural Approach Based on Gabor Functions for Texture Edge Detection in Ultrasound Images, Ultrasound in Medicine and Biology, 27, 4, 513-534. (SCI), 2001
2001	Huang, S.-Y., and Lu, H. H.-S., Extended Gauss-Markov Theorem for Nonparametric Mixed-Effects Models., Journal of Multivariate Analysis, 76, 2, 249-266., 2001
2001	Chen, C.-M., and Lu, H. H.-S., An Adaptive Snake Model for Ultrasound Image Segmentation: Modified Trimmed Mean Filter, Ramp Integration and Adaptive Weighting Parameters., Ultrasonic Imaging, 22, 214-236., 2001
2000	Huang, S.-Y., and Lu, H. H.-S., Bayesian Wavelet Shrinkage for Nonparametric Mixed-Effects Models, Statistica Sinica, 10, 4, 1021-1040. (SCI), 2000
2000	Chen, C.-M., Lu, H. H.-S., and Lin, Y.-C., An Early Vision Based Snake Model for Ultrasound Image Segmentation, Ultrasound in Medicine and Biology, 26, 2, 273-285. (SCI), 2000
1999	Tu, K.-Y., Chen, T.-B., Lu, H. H.-S., Liu, R.-S., Chou, K.-L., and Chen, J.-C., Iterative Image Reconstruction with Random Correction for PET Studies, Annals of Nuclear Medicine and Sciences, 12, 4, 195-200, 1999
1998	Chen, C.-M., Lu, H.-S., and Lin, Y.-C., Evolutionary Snake Model for Ultrasound Image Segmentation: A Preliminary Study, Biomedical Engineering-Applications, Basis and Communications, 10, 2, 110-118. (EI), 1998
1998	Lu, H. H.-S., On the Random Number Generator in the Bootstrap, Journal of the Chinese Statistical Association , 36, 2, 127-144, 1998
1998	Lu, H. H.-S., Chen, C.-M., and Yang, I.-H., Cross-Reference Weighted Least Square Estimates for Positron Emission Tomography, IEEE Transactions on Medical Imaging , 17, 1, 1-8. (SCI), 1998
1997	Lu, H. H.-S., and Hsieh, F., Transformation Models for Interval Scale Grouped Data with Applications, Statistica Sinica , 7, 4, 841-854. (SCI), 1997
1994	Chang, Y. L. C., Lander, L. C., Lu, H.-S, and Wells, M. T., Bayesian Analysis for Fault Location in Distributed Systems, IEEE Transactions on Reliability , 43, 3, 457-465. (SCI), 1994
1994	Lu, H. H.-S., Wells, M. T., and Tiwari, R. C., Inference for Functions in the Two-Sample Problem with Right Censored Data: With Applications, Journal of the American Statistical Association , 89, 427, 1017-1026. (SCI), 1994

年度	論文名稱
2024	Chen, Y.-W., Tsai, M.-J., Lu, H. H.-S., Feng, K.-T., Lee, T.-S., Lan, J.-C., Efficient TIS Sensitivity Measurement With Machine Learning Approach and 5G Dataset, IEEE 21st Consumer Communications & Networking Conference (CCNC), 2024
2023	Hu, Y.-F., Liu, C.-M., Chen, W.-W., Wu, I.-C., Chen, P.-F., Lin, Y.-J., Chang, S.-L., Lo, L.-W., Chung, F.-P., Chao, T.-F., Tuan, T.-C., Liao, J.-N., Lin, C.-Y., Chang, T.-Y., Kuo, L., Wu, C.-I., Liu, S.-H., Lu, H. H.-S., Chen, S.-A., PO-04-183, Artificial Intelligence-enabled Model for Early Detection of Atrial Fibrillation During Sinus Rhythm and Mortality Risk Stratification, Heart Rhythm, Vol 20, No 5S, S614., 2023
2023	Liu, C.-M., Chang, S.-L., Chen, W.-S., Lin, Y.-J., Lo, L.-W., Hu, Y.-F., Chung, F.-P., Chao, T.-F., Tuan, T.-C., Liao, J.-N., Lin, C.-Y., Chang, T.-Y., Wu, C.-I., Kuo, I., Wu, M.-H., Chen, C.-K., Chang, Y.-Y., Shiu, Y.-C., Lu, H. H.-S., Chen, S.-A., O-04-208, Clinical Application of Artificial Intelligence in Prediction of Recurrence in Atrial Fibrillation Patients with Catheter Ablation, Heart Rhythm, Vol 20, No 5S, S616-S617., 2023
2021	A. Muhaimin, D.D. Prastyo, Lu, H. H.-S., Forecasting with Recurrent Neural Network in Intermittent Demand Data, 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 802-809., 2021
2021	Deng, L.-Y., Dale Bowman, Yang, C.-C., Lu, H. H.-S., Extending RC4 to Construct Secure Random Number Generators, 2021 Annual Modeling and Simulation Conference (ANNSIM)., 2021
2012	Li, C.-Y., Chou, H.-P., Deng, L.-Y., Shiau, J.-J. H., Lu, H. H.-S., Non-linear pseudo-random number generators via coupling DX generators with the Logistic map, Anti-counterfeiting, Security, and Identification, pp. 1-5, doi: 10.1109/ICASID.2012.6325284., 2012
2000	Chen, J. C., Liu, R. S., Tu, K. Y., Lu, H. H. S., Chen, T. B., and Chou, K. L., "Iterative Image Reconstruction with Random Correction for PET studies", Proceedings of the Society of Photo-Optical Instrumentation Engineers, 3979, 1218-1229. (EI), 2000
2020	Ko, Y.-C., Chen, W.-S., Chen, H.-H., Liu, C., Lu, H. H.-S., "Identifying glaucoma from fundus images of first-visit patients with various ocular pathology using deep learning", The 2020 World Ophthalmology Congress （WOC 2020）., 2020
2020	Chou, P.-H., Li, Y.-C., Chen, H.-H., Chang, M.-C., Wu. H.-T. H., Lu, H. H.-S., "Application of artificial intelligence deep learning ensemble model for detection of thoracic and lumbar vertebral fracture on the lateral view of plain radiographs", The 49th Annual Meeting of the Japanese Society for Spine Surgery and Related Research （49th JSSR）., 2020
2020	Liu, C.-M., Chang, S.-L., Chen, H.-H., Chen, W.-S., Lin, Y.-J., Lo, L.-W., Hu Y., Tuan, T.-C., Chao, T.-F., Liao, J.-N., Lin, C.-Y., Chang, T.-Y., Wu, C.-I., Chen, C.-C., Chin, C.-G., Liu, S.-H., Cheng, W.-H., Chou, C.-Y., Lugtu, I. C., Shiu, Y.-C., Lu, H, "Automated Extraction Of Left Atrial Volumes From Two-dimensional Computer Tomography Images Using A Deep Learning Technique Can Predict Post-ablation One Year Recurrence Of Atrial Fibrillation", The Heart Rhythm Society （HRS）., 2020
2020	Liu, C.-M., Chang, S.-L., Chen, H.-H., Chen, W.-S., Lin, Y.-J., Lo, L.-W., Hu Y., Chung, F.-P., Tuan, T.-C., Chao, T.-F., Liao, J.-N., Lin, C.-Y., Chang, T.-Y., Wu, C.-I., Chen, C.-C., Liu, S.-H., Cheng, W.-H., Huang, S.-H., Chou, C.-Y., Lugtu, I. C., Shi, "Using A Deep Learning Technique To Automatize Extraction Of Left Atrial Volumes From Two-dimensional Computer Tomography Images", The Heart Rhythm Society （HRS）., 2020
2020	Liu, C.-M., Chang, S.-L., Chen, H.-H., Chen, W.-S., Lin, Y.-J., Lo, L.-W., Hu, Y., Chung, F.-P., Tuan, T.-C., Chao, T.-F., Liao, J.-N., Lin, C.-Y., Chang, T.-Y., Wu, C.-I., Chen, C.-C., Chin, C.-G., Liu, S.-H., Cheng, W.-H., Huang, S.-H., Chou, C.-Y., Lug, "The Clinical Application Of The Deep Learning Technique For Predicting Trigger Origins In Paroxysmal Atrial Fibrillation Patients With Catheter Ablation", The Heart Rhythm Society （HRS）., 2020
2019	Almuhayar, M., Lu, H. H.-S., Iriawan, N., "Classification of Abnormality in Chest X-Ray Images by Transfer Learning of CheXNet", The Third International Conference on Informatics and Computational Sciences （ICICoS）., 2019
2019	Lin, Y.-S., Wu, C.-H., Lu, H. H.-S., "Budgeted Algorithm for Linearized Confidence-Weighted Learning", The 3rd International Conference on Cloud and Big Data Computin （ICCBDC）, Excellent Oral Presentation., 2019
2018	Pan, Y.-M., Fang, S.-T., Chang, P. Y.-C., Chuang, C.-M., Liu, C.-M., Chang, S.-L., Lin, Y.-J., Chen, S.-A., Lu, H. H.-S., "Using U-Net for Fully Automated Semantic Segmentation of the Left Atrium in 2D Cardiac Computed Tomographic Images", The Asia Pacific Heart Rhythm Society （APHRS）., 2018
2018	Chang, P. Y.-C., Chuang, C.-M., Fang, S.-T., Zhan, S.-Q., Pan, Y.-M., Liu, C.-M., Chang, S.-L., Lin, Y.-J., Lu, H. H.-S., Chen, S.-A., "Applying Transfer Learning and Deep Convolutional Neural Networks to Automatically Detect Left Atrium in 2D Cardiac Computed Tomographic Images", The Asia Pacific Heart Rhythm Society （APHRS）., 2018
2018	Chung, C.-E., Lin, S.-H., Hsu, H.-C., Lu, H. H.-S, "Segmenting learning with convolutional Neural Network to extract features and build the classifier: an application to endoscope image classification for treatment planning of cervical pre-cancerous lesions", Society for Epidemiologic Researchs 51th Annual Meeting., 2018
2018	Zhan, S.-Q., Huang, T.-T., Lu, H. H.-S, "Accurate Diagnosis of Endoscopic Mucosal Healing in Ulcerative Colitis by Deep Learning and Machine Learning, Best Abstract", The 6th Annual Meeting of the Asian Organization for Crohns and Colitis （AOCC2018）., 2018
2017	Wu, C.-H., Hsi, W.-C., Lu, H. H.-S., Hang, H.-M., "Online Multiclass Passive-Aggressive Learning on a Fixed Budget", IEEE International Symposium on Circuits and Systems （IEEE ISCAS）., 2017
2013	Hsu, Y., Lu, H. H.-S., "Multiscale Connected Component Labelling and Applications to Scientific Microscopy Image Processing", 2014 International Conference on Soft Computing and Data Mining., 2013
2013	Hsu, Y., Lu, H. H.-S., "Brainbow image segmentation using Bayesian sequential partitioning", 2013 International Conference on Medical Informatics and Biomedical Engineering., 2013
2012	Wu, T.-Y., Juan, H. H., Lu, H. H.-S., "Improved Spectral Matting By Iterative K-Means Clustering And The Modularity Measure", IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), 2012
2011	Wu, T.-Y., Juan, H. H., Lu, H. H.-S., Chiang. A.-S., "A Crosstalk Tolerated Neural Segmentation Methodology for Brainbow Images", International Symposium on Applied Sciences In Biomedical and Communication Technologies (ACM ISABEL), 2011
2007	Liu, P.-L., Lu, H. H.-S., Chiang. A.-S., "Automatic Classification of 3D Drosophila Calyx Images", 2007 National Computation Symposium, Taichung, Taiwan, December 20-21., 2007
2007	Chen, P. Y., Chen, T.-B., Chen, C.-J., Li, G.-C.,Lu, H. H.-S., "Information Visualization and Fusion for Barcodes of Life in Environment and Society", The Second International Barcode of Life Conference, Taipei, Taiwan, September 17-21., 2007
2006	Lu, H. H.-S, "Reconstruction, Visualization and Analysis of Medical Images", Compstat 2006 Satellite Workshop on Data and Information Visualization, Berlin, Germany, August 23-25., 2006
2005	Ho, J., Hwang, W.-L., Lu, H. H.-S., and Lee, D. T., "Gridding the spot centers of Microarray Images", European Signal Processing Conference, Antalya, Turkey, September 4-8., 2005
2003	Chen, C.-H., Lu, H. H.-S., Liao, C.-T., Chen, C.-h., Yang, U.-C., Lee, Y.-S., "Gene Expression Analysis Refining System (GEARS) via Statistical Approach: A Preliminary Report", The 14th International Conference on Genome Informatics (GIW2003), 316-317., 2003
2003	Lu, H. H.-S., and Wu, H.-M., "On Visualization, Screening, and Classification of Cell Cycle-Regulated Genes in Yeast", The 14th International Conference on Genome Informatics (GIW2003), 344-345., 2003
2001	Chen, C.-M., and Lu, H. H.-S., "Sonographic Tumor Boundary Detection for Image-Guided Brain Surgery", The 5th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2001), Vol. XIII, Part II, 339-344., 2001
2001	Lu, H. H.-S., Chen, C.-M., and Wu, J.-S., "Statistical Analysis of Liver Cirrhosis in Ultrasound Images by Fractal Dimension, Dimension Reduction and Classification Trees", The 5th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2001), Vol. XIII, Part II, 351-356., 2001
2000	Tu, K. Y., Chen, J. C., Lu, H. H.-S., Chen, T. B., Chou, K. L., and Liu, R. S., "Random Correction Using Iterative Reconstruction for PET", European Association of Nuclear Medicine Annual Congress., 2000
2000	Chen, J. C., Tu, K. Y., Lu, H. H.-S., Chen, T. B., Chou, K. L., and Liu, R. S., "Iterative Image Reconstruction with Random Correction for PET Studies", SPIE medical imaging 2000 symposium., 2000
1999	Tu, K. Y., Chen, J. C., Lu, H. H.-S., Chen, T. B., Chou, K. L., and Liu, R. S., "Iterative Image Reconstruction with Random Coincidence Correction for PET Studies", The Biomedical Engineering Society 1999 Annual Symposium, 357-358., 1999
1998	Chen, J. C., Tu, K. Y., Lu, H. H.-S., Chen, T. B., Chou, K. L., and Liu, R. S., "Statistical Image Reconstruction for PET Studies", The Biomedical Engineering Society 1998 Annual Symposium, 71-72., 1998
1997	Lu, H. H.-S., and Tseng, W.-J., "On Accelerated Cross-Reference Maximum Likelihood Estimates for Positron Emission Tomography", Proceedings of the IEEE Nuclear Science Symposium, Volume 2, 1484 -1488. (EI), 1997
1995	Lu, H. H.-S., and Chang, Y. L. C., "Issues in the Assignment of Fault Diagnosis Time for Responsive Computing Systems", Proceedings of ISSAT International Conference of Reliability and Quality in Design, 238-242, Orlando , Florida., 1995
1993	Chang, Y. L. C., Lander, L. C., Lu, H.-S., and Wells, M. T., "Bayesian Inference for Fault Diagnosis in Real-Time Distributed Systems", The Second Asian Test Symposium (ATS」93). 333-338, Beijing., 1993
1993	Chang, Y. L. C., Lander, L. C., Lu, H.-S., and Wells, M. T., "Bayesion Analysis for Fault Location in Homogeneous Distributed Systems", Proceedings of the IEEE Symposium onReliable Distributed Systems, 44-53, Princeton , New Jersey. (EI), 1993

年度	書名
2025	Deng, L.-Y., Nirman Kumar, Lu, H. H.-S., Yang, C.-C., Random Number Generators for Computer Simulation and Cyber Security, Springer, 2025
2024	Handbook of Investment Analysis, Portfolio Management, and Financial Derivatives, Chapter 99: A Factor Model for Graph Data, World Scientific, 3277–3298, 2024
2022	Handbook of Statistical Bioinformatics, Second Edition, Integration of Boolean and Bayesian Networks, Springer-Verlag, 173–185, 2022
2022	Handbook of Statistical Bioinformatics, Second Edition, Springer-Verlag., 2022
2020	Niu, W.-F., Lu, H. H.-S., Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning, Measuring the Collective Correlation of a Large Number of Stocks., World Scientific., 2020
2020	Simak, M., Lu, H. H.-S., Yeang, C.-H., Yang, J.-M., Boolean Logic, Expressions and Theories: An Overview, Boolean Function Networks., Nova, 2020
2018	Handbook of Big Data Analytics, Springer-Verlag., 2018
2018	Chen, C.-C., Juan, H. H., Tsai, M.-Y., Lu, H. H.-S., Handbook of Big Data Analytics, Bridging Density Functional Theory and Big Data Analytics with Applications., Springer-Verlag., 351-374, 2018
2014	Tsai, M.-Y., Chen, T.-B., Lu, H. H.-S., Microarray Image and Data Analysis: Theory and Practice, Statistical Segmentation Methods for DNA Microarray Images, CRC Press, 2014
2011	Handbook of Statistical Bioinformatics, Springer-Verlag., 2011
2011	Chueh, T.-H., Lu, H. H.-S., Handbook of Statistical Bioinformatics, Boolean Networks, Springer-Verlag., 405-426, 2011
2008	Lu, H. H.-S., Handbook of Computational Statistics (Volume III) Data Visualization, Reconstruction, Visualization, and Analysis of Medical Images., Springer-Verlag., 813-830, 2008

年度	月份	著作名稱	其他	參考連結
2021	2	Course Homepage for Statistical Learning (Spring 2021)	Lu, H. H.-S.	https://misg.stat.nycu.edu.tw/Statistical%20Learning%202009f%20syllabus.htm
2020	9	Course Homepage for Smart Data Analytics (SDA) I (Fall 2020)	Lu, H. H.-S., and Hardle, W. K.	https://misg.stat.nycu.edu.tw/hslu/course/SmartDataAnalyticsI.htm
2020	9	Course Homepage for Introduction to Data Science (Fall 2020)	Lu, H. H.-S.,	https://misg.stat.nycu.edu.tw/hslu/course/DataScience.htm
2020	7	Statistical Applications in Medical Images and Bioinformatics	Lu, H. H.-S.,,	https://misg.stat.nycu.edu.tw
2017	7	Course Homepage for Statistical Computing (Spring 2017)	Lu, H. H.-S.,	https://misg.stat.nycu.edu.tw/hslu/course/statcomp/index.htm
2014	7	Course Homepage for Multivariate Analysis (Spring 2014)	Lu, H. H.-S.,	https://misg.stat.nycu.edu.tw/hslu/course/MVA2014spring.htm
2013	7	Course Homepage for High Dimensional Data Analysis (Fall 2013)	Lu, H. H.-S.,	https://misg.stat.nycu.edu.tw/hslu/course/HDDA2013fall.htm
2010	7	Course Homepage for Statistics (Fall 2010)	Lu, H. H.-S.,	https://misg.stat.nycu.edu.tw/hslu/DEE1203/syllabus.htm
2007	7	Course Homepage for Topics of Statistics in Bioinformatics (Fall 2007)	Lu, H. H.-S.,	https://misg.stat.nycu.edu.tw/Topics_of_statistics_in_bioinformatics.htm
2005	7	Course Homepage for Statistical Consulting (Spring 2005)	Lu, H. H.-S.,	https://misg.stat.nycu.edu.tw/hslu/consulting/94-1.htm
2004	5	Supervised Motion Segmentation by Spatial-Frequential Analysis and Dynamic Sliced Inverse Regression	Han-Ming Wu and Henry Horng-Shing Lu,
2002	8	Generalized Cross-Validation for Wavelet Shrinkage in Nonparametric Mixed-Effects Models	Henry Horng-Shing Lu, Su-Yun Huang, Fang-Jiun Lin,
2001	5	Extended Gauss-Markov Theorem for Nonparametric Mixed-Effects Models	Su-Yun Huang & Henry Horng-Shing Lu,
2000	5	Bayesian Wavelet Shrinkage orem for Nonparametric Mixed-Effects Models	Su-Yun Huang and Henry Horng-Shing Lu,
2002		還原統計的真正面貌－評	盧鴻興,科學月刊, 第 33卷第 12期, pp.1094-1095	http://episte.math.ntu.edu.tw/reviews/rev_lady_tasting_tea/index.html

年度	計畫名稱	參與人	職稱/擔任之工作	計畫期間	補助/委託或合作機構
2021	基於降維與特徵選取之深度學習與應用－應用影響分數進行特徵選取	盧鴻興	主持人	2021.08 ~ 2024.07	科技部
2018	高維問題之線上非線性降維法與應用－資料降維之線上學習演算法與其應用	盧鴻興	主持人	2018.08 ~ 2021.07	科技部
2016	建立台灣地區鮑氏不動桿菌整合性分析平台-台灣地區鮑氏不動桿菌分離株之網路分析與比較基因體研究(子計畫二)(3/3)	盧鴻興	主持人	2016.08 ~ 2017.07	科技部
2016	整合布林網路和貝氏網路以進行高維度問題之網路分析	盧鴻興	主持人	2016.08 ~ 2018.07	科技部
2015	建立台灣地區鮑氏不動桿菌整合性分析平台-台灣地區鮑氏不動桿菌分離株之網路分析與比較基因體研究(子計畫二)(2/3)	盧鴻興	主持人	2015.08 ~ 2016.07	科技部
2014	建立台灣地區鮑氏不動桿菌整合性分析平台-台灣地區鮑氏不動桿菌分離株之網路分析與比較基因體研究(子計畫二)(1/3)	盧鴻興	主持人	2014.08 ~ 2015.07	科技部
2014	階層式網絡模型及其於高維度問題之應用	盧鴻興	主持人	2014.08 ~ 2016.07	科技部
2012	影像擷取與網路結構偵測之統計分析與對應關係	盧鴻興	主持人	2012.08 ~ 2014.07	國科會
2009	基因網路和表現型特徵間關聯之統計分析	盧鴻興	主持人	2009.08 ~ 2012.07	國科會
2007	大型的酵母基因網路之統計分析	盧鴻興	主持人	2007.08 ~ 2009.07	國科會
2006	生物網路和調控路徑的統計分析(2/2)	盧鴻興	主持人	2006.08 ~ 2007.07	國科會
2005	生物網路和調控路徑的統計分析(1/2)	盧鴻興	主持人	2005.08 ~ 2006.07	國科會
2004	微陣列資料的統計型態發掘(3/3)	盧鴻興	主持人	2004.08 ~ 2005.07	國科會
2003	微陣列資料的統計型態發掘(2/3)	盧鴻興	主持人	2003.08 ~ 2004.07	國科會
2002	微陣列資料的統計型態發掘(1/3)	盧鴻興	主持人	2002.08 ~ 2003.07	國科會
2001	自我相似性，維度簡化及醫學影像分析上統計方式的資料發掘(3/3)	盧鴻興	主持人	2001.08 ~ 2002.07	國科會
2000	自我相似性，維度簡化及醫學影像分析上統計方式的資料發掘(2/3)	盧鴻興	主持人	2000.08 ~ 2001.07	國科會
1999	自我相似性，維度簡化及醫學影像分析上統計方式的資料發掘(1/3)	盧鴻興	主持人	1999.08 ~ 2000.07	國科會
1998	影像分割的多重解析法及其在醫學影像的應用	盧鴻興	主持人	1997.08 ~ 1998.07	國科會
1997	正子放射形電腦斷層攝影與相關資訊的統計合成	盧鴻興	主持人	1996.08 ~ 1997.07	國科會
1996	多重潛在結構分析	盧鴻興	主持人	1995.08 ~ 1996.07	國科會
1995	潛在函數暨密度推估及其應用	盧鴻興	主持人	1995.02 ~ 1995.07	國科會

國家	學校名稱	系所	學位
中華民國	台灣大學	電機工程系	學士
美國	康乃爾大學	統計學	碩士
美國	康乃爾大學	統計學	博士

服務機關名稱	單位	職務	期間
International Chinese Statistical Association (ICSA)		Chair, Taiwan Chapter,	2023.01 ~ 迄今
國立陽明交通大學	統計學研究所	特聘教授	2022.08 ~ 迄今
Handbook of Statistical Bioinformatics, Springer		編輯委員	2022.01 ~ 2022.12
WIREs Computational Statistics		Editorial Board	2018.01 ~ 迄今
Journal of the American Statistical Association, Theory and Methods		Associate Editor	2017.01 ~ 2020.12
國立交通大學		教務長	2016.01 ~ 2021.01
國立交通大學	大數據研究中心	主任	2015.07 ~ 2018.01
Journal of Applied Mathematics, International Scholarly Research Network		Editorial Board	2014.01 ~ 2017.01
International Chinese Statistical Association （ICSA）		Board of Directors	2012.01 ~ 2014.01
國立交通大學	理學院	院長	2011.08 ~ 2014.07
Handbook of Statistical Bioinformatics, Springer		編輯委員	2011.01 ~ 2011.01
International Journal of Systems and Synthetic Biology	特刊	客座編輯	2010.01 ~ 2010.01
Journal of Data Science	特刊	客座編輯	2008.07 ~ 2008.07
國立交通大學	理學院科學學士學位學程班	主任	2008.02 ~ 2011.07
中國統計學報		編輯委員	2008.01 ~ 2010.01
美國芝加哥大學	生態和演化學系	訪問學者	2006.02 ~ 2007.01
Statistica Sinica		副編輯	2005.01 ~ 2008.01
國立交通大學	統計學研究所	所長	2002.08 ~ 2005.07
國立交通大學	統計學研究所	教授	2002.02 ~ 2022.07
美國哈佛大學	生物統計學系	訪問學者	2001.01 ~ 2001.01
美國加州大學洛杉磯分校	理論數學和應用數學研究所	訪問學者	2000.01 ~ 2000.01
中國統計學報		編輯委員	1995.01 ~ 1997.01
國立交通大學	統計學研究所	副教授	1994.08 ~ 2002.01
美國康乃爾大學		助理	1989.01 ~ 1994.01

陽明交大統計所