Chin-En Kuo, Yuan-Kai Tu, Shih-Lun Fang, Yong-Rong Huang, Han-Wei Chen, Min-Hwi Yao, Bo-Jein Kuo, "Early detection of drought stress in tomato from spectroscopic data: A novel convolutional neural network with feature selection," Chemometrics and Intelligent Laboratory Systems, DOI: 10.1016/j.chemolab.2023.104869, 2023-06. (citation: 2, SCI, IF: 4.175, Journal ranking: Q1 in STATISTICS & PROBABILITY (12/125)) 

Cheng-Hung Tu, Rui-Teng Wang, Bo-Sen Wang, Chih-En Kuo, En-Ying Wang, Ching-Ting Tu, Wan-Nien Yu, "Neural network combining with clinical ultrasonography: A new approach for classification of salivary gland tumors," Head & Neck, DOI: 10.1002/hed.27396, 2023-05. (SCI, IF: 3.821, Journal ranking: Q1 in OTORHINOLARYNGOLOGY (6/43)) 

Jenn-Jhy Tseng, Chien-Hsing Lu, Jun-Zhou Li, Hui-Yu Lai, Min-Hu Chen, Fu-Yuan Cheng, and Chih-En Kuo*, "An Open Dataset of Annotated Metaphase Cell Images for Chromosome Identification," Scientific Data, DOI: 10.1038/s41597-023-02003-7. (citation: 4, SCI, IF: 8.501, Journal ranking: Q1 in MULTIDISCIPLINARY SCIENCES (12/74)) 

Shih-Tien Hsu, Yu-Jie Su, Chian-Huei Hung, Ming-Jer Chen, Chien-Hsing Lu, Chih-En Kuo*, "Automatic Ovarian Tumors Recognition System based on Ensemble Convolutional Neural Network with Ultrasound Imaging," BMC Medical Informatics and Decision Making, DOI: 10.1186/s12911-022-02047-6, 2022-11. (citation: 12, SCI, IF=3.298)

Chi-Hsiang Chou, Tsu-Wang Shen*, Hsin Tung, Peiyuan F Hsieh, Chih-En Kuo*, Ting-Mao Chen, Chao-Wei Yang "Convolutional Neural Network-based fast Seizure detection from Video Electroencephalograms," Biomedical Signal Processing and Control, Article reference BSPC_104380, 2022-11. (citation: 6, SCI, IF=5.076)

Chih-En Kuo*, Tsung-Hua Lu, Guan-Ting Chen, Po-Yu Liao, "Towards Precision Sleep Medicine: Self-Attention GAN as an Innovative Data Augmentation Technique for Developing Personalized Automatic Sleep Scoring Classification," Computers in Biology and Medicine, Article reference CIBM_105828, 2022, 07, https://doi.org/10.1016/j.compbiomed.2022.105828. (citation: 1, SCI, IF: 6.698)

Yuan-Kai Tu, Chin-En Kuo, Fang, Shih-Lun Fang, Han-Wei Chen, Ming-Kun Chi, Min-Hwi Yao, and Bo-Jein Kuo*, "A 1D-SP-Net to Determine Early Drought Stress Status of Tomato (Solanum lycopersicum) with Imbalanced Vis/NIR Spectroscopy Data," Agriculture 2022, 12, 259. https://doi.org/10.3390/agriculture12020259. (citation: 7, SCI, IF=3.408)

Tsung-Hao Hsieh, Meng-Hsuan Liu, Chin-En Kuo, Yung-Hung Wang, Sheng-Fu Liang*, "Home-Use and Real-Time Sleep-Staging System Based on Eye Masks and Mobile Devices with a Deep Learning Model," Journal of Medical and Biological Engineering, https://doi.org/10.1007/s40846-021-00649-5, 2021-09. (citation: 13, SCI, IF=2.213) 

Chih-En Kuo*, Guan-Ting Chen, and Po-Yu Liao, "An EEG Spectrogram-based Automatic Sleep Stage Scoring Method via Data Augmentation, Ensemble Convolution Neural Network, and Expert Knowledge," Biomedical Signal Processing and Control,  Article reference BSPC_102981, 2021-07. (citation: 27, SCI, IF=5.076)

Shyan-Lung Lin*, Shoou-Jeng Yeh, Ching-Kun Chen, Yu-Liang Hsu, Chih-En Kuo, Wei-Yu Chen and Cheng-Pu Hsieh, "Comparisons of the Nonlinear Relationship of Cerebral Blood Flow Response and Cerebral Vasomotor Reactivity to Carbon Dioxide under Hyperventilation between Postural Orthostatic Tachycardia Syndrome Patients and Healthy Subjects," Journal of Clinical Medicine, doi:10.3390/jcm9124088, 2020-12. (citation: 1, SCI, IF=4.963)

Chih-En Kuo* and Guan-Ting Chen, "Automatic Sleep Staging Based on a Hybrid Stacked LSTM Neural Network: Verification using Large-Scale Datasets," IEEE Access, 8: 111837-111849. DOI: 10.1109/ACCESS.2020.3002548, 2020-06. (citation: 28, SCI, IF=3.476) 

Sheng-Fu Liang, Yu-Hsuan Shih, Yu-Han Hu, and Chin-En Kuo*, "A Method for Napping Time Recommendation using Electrical Brain Activity," IEEE Transactions on Cognitive and Developmental Systems, DOI: 10.1109/TCDS.2020.2991176, 2020-04. (citation: 3, SCI, IF=4.546)

Chih-En Kuo* and Guan-Ting Chen, "A Short-Time Insomnia Detection System Based on Sleep EOG with RCMSE Analysis," IEEE Access, 8: 69763-69773. DOI: 10.1109/ACCESS.2020.2986397, 2020-04. (citation: 12, SCI, IF=3.476)

Ting-Ying Wei, Chung-Ping Young, Yu-Ting Liu, Jia-Hao Xu, Sheng-Fu Liang, Fu-Zen Shaw, Chih-En Kuo*, "Development of a rule-based automatic five-sleep-stage scoring method for rats," BioMedical Engineering OnLine, DOI: 10.1186/s12938-019-0712-8, 2019-08. (citation: 9, SCI, IF=3.903)

Sheng-Fu Liang, Yu-Hsuan Shih, Peng-Yu Chen, Chih-En Kuo*, "Development of a Human-Computer Collaborative Sleep Scoring System for Polysomnography Recordings," PLOS ONE, 10.1371/journal.pone.0218948, 2019-06. (citation: 16, SCI, IF=3.752)

Chih-En Kuo, Yi-Che Liu, Da-Wei Chang, Chung-Ping Young, Fu-Zen Shaw, and Sheng-Fu Liang, “Development and Evaluation of a Wearable Device for Sleep Quality Assessment,” IEEE Trans. on Biomedical Engineering, vol 64(7), pp. 2108-2118, 2017. (citation: 57, SCI, IF=4.756)

Sheng-Fu Liang, Chih-En Kuo, Fu-Zen Shaw, Ying-Huang Chen, Chia-Hu Hsu,and Jyun-Yu Chen, “Combination of Expert Knowledge and a Genetic Fuzzy Inference System for Automatic Sleep Staging,” IEEE Trans. on Biomedical Engineering, vol 63(10), pp. 2108-2118, 2016. (citation: 28, SCI, IF=4.756) 

Chih-En Kuo, Yue-Li Wang, Jia-Jie Liu, and Ming-Tat Ko, “Resequencing a Set of Strings Based on a Target String,” Algorithmica, vol. 72(2), pp. 430-449, 2015. (citation: 6, SCI, IF=0.909) 

Sheng-Fu Liang, Chin-En Kuo, Yi-Chieh Lee, Wen-Chieh Lin, Yen-Chen Liu, Peng-Yu Chen, Fu-Yin Cherng, and Fu-Zen Shaw, “Development of an EOG-based Automatic Sleep Monitoring Eye Mask,” IEEE Trans. on Instrumentation & Measurement, vol. 64, pp. 2977-2985, 2015. (citation: 82, SCI, IF=5.332) 

Kun-Chan Lan, Da-Wei Chang, Chih-En Kuo, Ming-Zhi Wei, Yu-Hung Li, Fu-Zen Shaw, and Sheng-Fu Liang, “Using Off-the-Shelf Lossy Compression for Wireless Home Sleep Staging,” Journal of Neuroscience Methods, vol. 246, pp. 142-152, 2015. (citation: 23, SCI, IF=2.987)

Chin-En Kuo, Sheng-Fu Liang, Shao-Sheng Lu, Tang-Ching Kuan, and Chih-Sheng Lin, “Estimation and Prediction of Drug Therapy on the Termination of Atrial Fibrillation by Autoregressive Model with Exogenous Inputs,” IEEE Journal of Biomedical and Health Informatics, vol. 17 (1), pp. 153-161, 2013. (citation: 2, SCI, IF=7.021)

Shing-Tai Pan, Chih-En Kuo, Jian-Hong Zeng and Sheng-Fu Liang, “A Transition-constrained Discrete Hidden Markov Model for Automatic Sleep Staging,” BioMedical Engineering OnLine, 11:52, 2012. (citation: 105, SCI, IF=3.903) 

Sheng-Fu Liang, Chin-En Kuo, Yu-Han Hu, Yu-Hsiang Pan, and Yung-Hung Wang, “Automatic Stage Scoring of Single-Channel Sleep EEG by Using Multiscale Entropy and Autoregressive Models,” IEEE Trans. on Instrumentation & Measurement, vol. 61, no. 6, pp. 1649-1657, 2012. (citation: 332, SCI, IF=5.332)

Sheng-Fu Liang, Chin-En Kuo, Yu-Han Hu, and Yu-Shian Cheng, “A Rule-based Automatic Sleep Staging Method,” Journal of Neuroscience Methods, vol. 205, no.1, pp. 169-176, 2012. (citation: 181, SCI, IF=2.987) 

Chih-En Kuo *, Hao-Hsiang Wang, Tsung-Hua Lu,"SLEEPCVT: Combination of Convolution Neural Network and Vision Transformer for Automatic Sleep Scoring"Accepted by 2024 International Joint Conference on Neural Networks (IJCNN 2024), Yokohama, Japan, Jun. 30-Jul. 5, 2024. 

Yen-Ning Su and Chih-En Kuo*, "An Automatic Sleep Arousal Detection Method by Enhancing U-Net with Spatial-channel Attention" 2022 IEEE International Conference on Big Data (IEEE BigData 2022), pp. 5346-5351, Osaka, Japan, Dec. 17-20, 2022. 

Chih-En Kuo*, Chien-Hsing Lu and Li-Yuan Huang, "Swin-TCNet: A vision transformer-based method for automated chromosomal object detection" IEEE International Conference on Big Data (IEEE BigData 2022), pp. 5288-5294, Osaka, Japan, Dec. 17-20, 2022. 

Chih-En Kuo*, Po-Yu Liao, Yu-Syuan Lin, "A Self-attention-based Ensemble Convolution Neural Network Approach for Sleep Stage Classification with Merged Spectrogram" Accepted by 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021), online. 

Chih-En Kuo*, Guan-Ting Chen, and Chuan Hsu, "An Automatic Sleep Scoring Method by using Multi-input Convolutional Neural Network," 2020 International Automatic Control Conference (CACS2020) , ID: 1130 , 2020-11. National Chiao Tung University.

Chuan Hsu, Guan-Ting Chen , Chih-En Kuo*, "AN AUTOMATIC SLEEP SCORING METHOD BASED ON CONVOLUTIONAL NEURAL NETWORK WITH MULTI-SPECTROGRAM INPUTS," The 33rd IPPR Conference On Computer Vision, Graphics, And Image Processing (CVGIP 2020) , paper 26 , 2020-08. 交通大學光復校區工程四館.

Chih-En Kuo*, Guan-Ting Chen, "A Short-Time Insomnia Detection System Based on Single-Channel Sleep EOG with Multiscale Fuzzy Entropy Analysis," 2020 10th International Conference on Biomedical Engineering and Technology (ICBET 2020) , Y2022 , 2020-03. Meiji University.

Chin-En Kuo*, Nung-Yi Ling, Si-Wa Chan, Yi-Rui Liu, Yu-Chia Zheng, "An End-to-end Lung Nodule Detection System Based on Deep Neural Network with Multiple Composite Functions," 2020 10th International Conference on Biomedical Engineering and Technology (ICBET 2020) , Y2028 , 2020-03. Meiji University.

Chih-En Kuo*, Guan-Ting Chen, Nung-Yi Lin, "Automatic Sleep Staging Using Deep Long Short-Term Memory: Validation in Large-Scale Datasets," 2019 3rd International Conference on Computational Biology and Bioinformatics (ICCBB 2019) , N0023 , 2019-10. Nagoya City University.

Chih-En Kuo*, "Intelligence insomnia detection system based on single channel EEG analysis," the 2018 11th International Conference on Computer and Electrical Engineering (ICCEE 2018) , CJ2-079 , 2018-10. TKP Ichigaya Conference Center.

Chih-En Kuo, Sheng-Fu Liang, Peng-Yu Chen, "Development and Evaluation of Human-Computer Cooperation Sleep Scoring System Based on the Reliability Analysis," TAI CHI' 2017 , Paper 17 , 2017-08. 國立成功大學 電機工程學系館. 

Sheng-Fu Liang, Tsung-Hao Hsieh, and Chih-En Kuo, (2016, July). Development and Validation of Assessable and Wearable Health Monitoring Systems. 5th Annual Global Healthcare Conference, Singapore.

C. E. Kuo, S. F Liang, T. H. Hsieh, F. Z. Shaw, J. J. Hsueh, Y. H. Wang (2015, Jul). Feasibility Analysis of Using EOG Signals to Perform Neural Feedback Training for Alpha Rhythms Enhancement. The 7th WACBE World Congress on Bioengineering, Singapore.

Chih-En Kuo, Sheng-Fu Liang, Yu-Hsuan Shih, and Fu-Zen Shaw, (2014, Oct). Evaluating the Sleep Quality Using Multiscale Entropy Analysis. 1st Global Conference on Biomedical Engineering & 9th Asian-Pacific Conference on Medical and Biological Engineering, Taiwan.

Chih-En Kuo, Sheng-Fu Liang, Yi-Chieh Li, Fu-Yin Cherng, Wen-Chieh Lin, and Peng-Yu Chen (2014, Jan). An EOG-based Sleep Monitoring System and Its Application on On-line Sleep-Stage Sensitive Light Control. International Conference on Physiological Computing Systems 2014.

Sheng-Fu Liang, Chih-En Kuo, Yu-Han Hu, Chun-Yu Chen, and Yu-Hung Li (2012, Nov). An Adaptive Neuro-fuzzy Inference System for Sleep Spindle Detection. IFUZZY 2012, Taichung, Taiwan. (citation: 5)

Chih-En Kuo, Tsung-Hao Hsieh and Sheng-Fu Liang, (2012, Aug). The Automatic Sleep Scoring Method Based on Multiscale Entropy Analysis of EOG Signals. 1st Annual Global Healthcare Conference, Singapore.

Chih-En Kuo and Sheng-Fu Liang, (2011, Nov). Automatic Stage Scoring of Single-Channel Sleep EEG based on Multiscale Permutation Entropy. IEEE Biomedical Circuit and Systems Conference (BioCAS 2011), San Diego, USA. (citation: 13)

S. F. Liang, C. E. Kuo, Y. H. Hu, and Y. S. Cheng (2011, Aug). A Rule-based Automatic Sleep Staging Method. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '11), Boston, USA.

S. F. Liang , Y. H. Chen, C. E. Kuo, J. Y. Chen, S. C. Hsu (2011, Jun). A Fuzzy Inference System for Sleep Staging. The 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan. (citation: 9)

C. E. Kuo, S. S. Lu, C. S. Lin, S. F. Liang (2010, Dec). Estimation and Prediction of Propafenone on The Termination of Atrial Fibrillation by Statespace Models. International Computer Symposium 2010, Tainan, Taiwan.

C. E. Kuo, S. S. Lu, S. F. Liang (2010, Mar). Estimation of Therapeutic Effects on Atrial Fibrillation from Swines by Using State-space Models. The 4th International Symposium on Medical Information and Communication Technology (ISMICT), Taipei, Taiwan. 

Chih-En Kuo*, Yu-Lin Shen, Charng-Cheng Tsaur, Chwen-Ming Chang, Chen-Shan Kao, Shih-Hsi Hsu, Chun-Hsien Chiu, Thomas Jeng-Ho Chen, Amanda Lih-Chuan Chen, Sheng-Fu Liang, "應用於石化業關鍵設備之集成式智慧預知維護系統," 勞動及職業安全衛生研究季刊, 第26卷 第3期, 2018-09. (TCI-HSS) 

Chih-En Kuo*, Chwen-Ming Chang, Chen-Shan (Jason) Kao, Shih-His Hsu, Jhen-He Chen, Lih-Chuan Chen, Sheng-Fu Liang, "先期開發與評估 應用於石化業關鍵設備之智慧預知維護方法," 勞動及職業安全衛生研究季刊,第26卷 第1期, 2018-03. (TCI-HSS) 

郭至恩, 王俊傑, 謝文碩, "基於視覺Transformer的自動睡眠評分方法", 2022人工智慧技術及應用研討會(AITA2022), paper ID: 1230 , 2022-05. 國立臺中科技大學.

陳家和, 郭至恩, "基於Lightgbm的建築物能源消耗預測方法," 2020 IETAC資訊教育與科技應用研討會 , paper ID: 63 , 2020-05. 僑光科技大學圖資大樓.

陳詩華, 林農誼, 劉益瑞, 鄭佑佳, 郭至恩*, "基於深度學習之自動肺結節檢測判讀," 2019 International Conference on Technologies and Applications of Artificial Intelligence , paper ID 134 , 2019-11. 蓮潭會館.

郭至恩*, 沈育霖, 曹常成, 張純明, 高振山, 許世希, 邱俊憲, 陳振和, 蔡瑜潔, 梁勝富, "應用於石化業關鍵設備之集成式智慧預知維護系統," 2018職業安全研討會, 2018-10. 聯合大學.

郭至恩, 張純明, 高振山, 許世希, 陳振和, 蔡瑜潔, 梁勝富, "先期開發與評估應用於石化業關鍵設備之智慧預知維護方法," 2017職業安全研討會 , 無 , 2017-10. 中臺科技大學.

郭至恩，深度學習: 從入門到實戰(使用MATLAB)，ISBN: 978-986-503-431-3，2020.06。

Chih-En Kuo, Sheng-Fu Liang, Yi-Chieh Lee, Fu-Yin Cherng, Wen-Chieh Lin, Peng-Yu Chen, Yen-Chen Liu, Fu-Zen Shaw. An EOG-Based Automatic Sleep Scoring System and Its Related Application in Sleep Environmental Control. Physiological Computing Systems, 2014.

美國專利, Sheng-Fu Liang, Chih-En Kuo, Yu-Hung Li, EOG-based Sleep Staging Method, Computer Program Product with Stored Programs, Computer Readable Medium with Stored Programs, and Electronic Apparatuses, Patent number 10499846B2.

台灣專利, 梁勝富、郭至恩、陳應瑝、許宇成，短暫睡眠喚醒之眼罩. 專利證號: I 500418.

台灣專利, 梁勝富、郭至恩、劉晏甄、蕭富仁，眼配戴裝置, 專利證號: M510742.

台灣專利, 梁勝富、郭至恩、蕭富仁，自動睡眠分期裝置, 專利證號: I487503.

台灣專利, 梁勝富、郭至恩、李昱竑，基於眼動電訊之睡眠分期方法、內儲程式之電腦程式產品、內儲程式之電腦可讀取紀錄媒體及電子裝置, 專利證號: I536964.

2010~2011年，參與台達電子股份有限公司的產學合作計畫“睡眠品質紀錄錶”，主要負責根據加速規訊號判讀清醒/睡眠演算法之開發與驗證，並與公司方人員進行多次技術討論會議。

2013年，將“腕式睡眠狀態偵測技術”技轉予神達電腦股份有限公司，主要負責該技術之相關實驗數據收錄與分析、演算法開發與驗證，並協助相關產品之應用程式撰寫。

2015年，接受神達電腦股份有限公司之委辦計畫”MiracleBand手環之睡眠品質監測功能驗證及醫事人員試用評估”，主要負責計畫進度監控與管理、產品效能與穩定性測試、數據收集與分析、結案報告撰寫。

2016年，將“腕式自動入睡與清醒偵測技術”技轉予神達電腦股份有限公司，主要負責專案進度監控，該技術之相關實驗數據收錄與分析、演算法開發與驗證，並為雙方聯繫討論之主要窗口。