期刊論文：

1. Ming-Ju Chen, Ying-Lin Hsu, and Jia-Lang Xu. Two-Stage AI Model for Endometrial Cancer Staging: YOLOv4 Localization and Deep Learning Classification. Innovation and Emerging Technologies.  Accepted on 2025/8/24.

2. Hung-Lung Tsai, Kuan-Hung Cheng, Po-Cheng Lin, Ying-Lin Hsu, Shih-Wei Chen.  AI-driven bone mineral density prediction from chest x-rays and its association with obstructive sleep apnea. PLOS ONE. Accepted on 2025/8/2.

3. Pei-Chun Lin, Tsai-Chung Li, Tzu-Hsuan Huang, Ying-Lin Hsu, Wen-Chao Ho, Jia-Lang Xu, Ching-Liang Hsieh, and Zih-En Jhang (2025). Machine Learning for Diabetic Foot Care: Accuracy Trends and Emerging Directions in Healthcare AI. Frontiers in Public Health, section Digital Public Health, 13:1613946. doi: 10.3389/fpubh.2025.1613946.

4. 江珮甄、朱振寧、江信宏、許英麟、許銘華。賽局理論在競技桌球比賽策略中的應用與分析。運動表現期刊 ，2025/6/11 接受。

5. Kuo-Yang Huang, Ying-Lin Hsu, Che-Liang Chung, Huang-Chi Chen, Ming-Hwarng Horng, Ching-Hsiung Lin, Ching-Sen Liu, and Jia-Lang Xu (2025). Stability and Robustness in Healthcare AI: Edge Computing and Machine Learning for Ventilator Extubation Outcome Prediction. Scientific Reports, 15, 17858 (2025). https://doi.org/10.1038/s41598-025-02317-z.

6. Ya-Huei Chen, Xing-Yu Luo, Chia-Hui Chang, Chen-Tsung Kuo, Sou-Jen Shih, Mei-Yu Chang, Mei-Rong Weng, I-Chieh Chen, Ying-Lin Hsu and Jia-Lang Xu (2025). Post-Surgical Fall Risk Prediction: A Machine Learning Approach for Spine and Lower Extremity Procedures. Frontiers in Medicine, section Family Medicine and Primary Care, 12:1574305. doi: 10.3389/fmed.2025.1574305.

7. Cathy W.S. Chen, Po-Hui Chen, and Ying-Lin Hsu. (2025) Bayesian forecasting of value-at-risk and expected shortfall in cryptocurrency markets: a nonlinear semi-parametric framework, Applied Stochastic Models in Business and Industry, 41(1): e2926. https://doi.org/10.1002/asmb.2926.

8. Hao-Chih Yin, Ruoh-Lih Lei, Jia-Lang Xu, Chih-Ming Lin, and Ying-Lin Hsu (2025).  Enhancing Stroke Prognosis Prediction Using Deep Convolution Neural Networks, Journal of Mechanics in Medicine and Biology, 25(5): 2540039. doi://10.1142/S0219519425400391.

9. Wei-Teng Sheu, Ying-Lin Hsu, Yu-Wen Liu, Shih-Hao Lu (2025). The triple Generally Weighted Moving Average Control Chart for Monitoring Poisson Observations. Annals of Operations Research,  349, 397-424. https://doi.org/10.1007/s10479-023-05751-2. 

10. Wei-Teng Sheu, Shih-Hao Lu, and Ying-Lin Hsu (2025). The Generally Weighted Moving Average Control Chart for Monitoring the Process Mean of Autocorrelated Observations. Annals of Operations Research, 349, 139–167. https://doi.org/10.1007/s10479-023-05384-5.

11. Huang K-Y, Lin C-H, Chi S-H, Hsu Y-L and Xu J-L. (2024). Optimizing Extubation Success: A Comparative Analysis of Time Series Algorithms and Activation Functions, Frontiers in Computational Neuroscience,  18:1456771. doi: 10.3389/fncom.2024.1456771.

12. Kuo-Yang Huang, Ying-Lin Hsu, Huang-Chi Chen, Ming-Hwarng Horng, Cheliang Chung, Ching-Hsiung Lin, Jia-Lang Xu, Ming Hon Hou (2023). Developing a Machine-Learning Model for Real-Time Prediction of Successful Extubation in Mechanically Ventilated Patients Using Time-Series Ventilator-Derived Parameters. Frontiers in Medicine, section Pulmonary Medicine, 10 - 2023.  https://doi.org/10.3389/fmed.2023.1167445.

13. Ting-Wei Jiang, Ying-Lin Hsu, Ju-Lan Yang, Yin-Tzer Shih, and Chih Ming Lin (2022). The Role of Extracranial Carotid Duplex in Predicting Functional Outcome in First Time Lacunae Strokes. Neurological Research, 14:1-12. doi: 10.1080/01616412.2022.2140542. Epub ahead of print. PMID: 36376279. 

14. Sen-Yung Liu, Ying-Lin Hsu, Yi-Chun Tu, Ching- Hsiung Lin, Shih-Chun Wang, Ya-Wen Lee, Yin‑Tzer Shih, Ming-Chih Chou, Chih-Ming Lin (2022). Functional Outcome Prediction of Ischemic Stroke Patients with Atrial Fibrillation Accepting Post-Acute Care Training. Frontiers in Neurology, section Neurorehabilitation, 13:954212. doi: 10.3389/fneur.2022.954212. 

15. 許銘華、于承煥、許英麟、蔡亞倫、吳昇光 (2022)。基於3S理論與機器學習技術於頂尖混雙桌球選手接發球技戰術分析-林昀儒/鄭怡靜之個案研究。大專體育學刊，第24卷第4期，563-583頁（2022年12月）。

16. Ju-Lan Yang, Chih-Ming Lin and Ying-Lin Hsu (2022). Long-Term Functionality Prediction for First Time Ischemic Middle Cerebral Artery Stroke Patients Receiving Conventional Medical Treatment. Neuropsychiatric Disease and Treatment, 18, 275–288. doi: 10.2147/NDT.S350266.

17. Jia-Lang Xu and Ying-Lin Hsu (2022). The Impact of News Sentiment Indicators on Agricultural Product Prices. Computational Economics, 59, 1645–1657. https://doi.org/10.1007/s10614-021-10189-4.

18. Jia-Lang Xu and Ying-Lin Hsu (2022). Analysis of Agricultural Exports Based on Deep Learning and Text Mining. The Journal of Supercomputing, 78, 10876–10892. https://doi.org/10.1007/s11227-021-04238-w.

19. Jau-Chuan Ke, Tzu-Hsin Liu, Ying-Lin Hsu, and Hui-Tzu Ku (2019). Analysis of machine-repairing systems with server breakdown and delayed repairs. International Journal of Industrial and Systems Engineering, 31(4), 517-534. 

20. Tzu-Liang Kung, Yuan-Hsiang Teng, Cheng-Kuan Li, and Ying-Lin Hsu (2017). Combinatorial analysis of the subsystem reliability of the split-star network. Information Sciences, 415–416, 28-40. 

21. Tzu-Hsin Liu, Jau-Chuan Ke, Stéphane M.F. Yen, and Ying-Lin Hsu (2017). Statistical Inference for the Availability of Repairable System with General Repair, Reboot Delay and Switching Failure, Communications in Statistics - Simulation and Computation, 46(1), 579-592. http://dx.doi.org/10.1080/03610918.2014.970699.

22. Hsueh-Kuan Lu, Li-Ming Chiang, Y Chen, Chih-Lin Chuang, Kuen-Tsann Chen, Gregory Byron Dwyer, Ying-Lin Hsu, Chun-Hao Chen, and Kuen-Chang Hsieh (2016). Hand-to-hand model for bioelectrical impedance analysis to estimate fat free mass in a healthy population. Nutrients, 8(10).

23. Ying-Lin Hsu, Ying-Cheng Tseng, Chia-Jung Chang, and Fu-Min Chang (2016). Standby system with imperfect coverage and repairable service station. International Journal of Information and Management Sciences, 27, 299-316. 

24. Chun-Shien Wu, Yu-Yawn Chen, Chih-Lin Chuang, Li-Ming Chiang, Gregory B. Dwyer, Ying-Lin Hsu, Ai-Chun Huang, Chung-Liang Lai and Kuen-Chang Hsieh (2015). Predicting body composition using foot-to-foot bioelectrical impedance analysis in healthy Asian individuals, Nutrition Journal, 14:52.

25. Stephane Meng-Feng Yen, Ying-Lin Hsu, and Yi-Long Hsiao (2015). Can hedge fund elites consistently beat the benchmark? A study of portfolio optimization, Asia Pacific Management Review, 20, 275-284.

26. Nan-Yu Wang, Chih-Jen Huang, Ying-Lin Hsu and Shian-Chang Huang (2015). Using Stepwise Reality Check to Analyze Open-end Fund Investors’ Herding Redemption in Taiwan, International Journal of Economics and Financial Issues, 5(1), 260-272.

27. Ying-Lin Hsu, Po-Yu Huang and Dung-Tsa Chen (2014). Sparse principal component analysis in cancer research, Translational Cancer Research, 3(3), 182-190. 

28. Ying-Lin Hsu, Jau-Chuan Ke, Tzu-Hsin Liu and Chia Huang Wu (2014). "Modeling of multi-server repair problem with switching failure and reboot delay and related profit analysis", Computers & Industrial Engineering, 69, 21-28. 

29. Hsu, Y-L., Kuan, C-M., & Yen, S. M. F. (2013). Selecting Top Funds of Hedge Funds Based on Alpha and Other Performance Measures. In G. N. Gregoriou (Ed.), Reconsidering Funds of Hedge Funds:The Financial Crisis and Best Practices in UCITS, Tail Risk, Performance, and Due Diligence (pp. 351–366). Academic Press: Elsevier Inc. 

30. Tzu-Hsin, Liu, Hsu, Ying-Lin and Chen, Dung-Tsa (2013). Evaluation of numbers of top ranked genes. Model Assisted Statistics and Applications, 8(2), 151-161. 

31. Ke, Jau-Chuan, Hsu, Ying-Lin, Tzu-Hsin, Liu and Zhang, Zhe George (2013). Computational Analysis of Machine Repair Problem with Unreliable Multi-repairmen. Computers & Operations Research, 40, 848-855. 

32. 徐孟資、許英麟、陳弘吉 (2012)。次貸風暴前後外匯匯率風險值之比較分析－以美元兌英鎊、歐元、日圓與新台幣為例。 企業管理學報，93，15-45。

33. Ke, Jau-Chuan, Yen, Stéphane M.F., Liu, Tzu-Hsin and Hsu, Ying-Lin (2012). A Standby System with General Repair and Imperfect Switching, Journal of Testing and Evaluation, 40(3), 440-446. 

34. Chen, Dung-Tsa, Hsu, Ying-Lin, Fulp, William J., Coppola, Domenico, Haura, Eric B., Yeatman, Timothy J., Cress, W. Douglas (2011). Prognostic and Predictive Value of a Malignancy-Risk Gene Sigature in Early-Stage Non-Small Cell Lung Cancer. Journal of the National Cancer Institute, 103(23), December 8, 1-12. 

35. Hsu, Ying-Lin, Ke, Jau-Chuan and Liu, Tzu-Hsin (2011). Standby system with general repair, reboot delay, switching failure and unreliable repair facility - a statistical standpoint. Mathematics and Computers in Simulation, 81, 2400-2413. 

36. Liu, Tzu-Hsin, Ke, Jau-Chuan, Hsu, Yu-Luu and Hsu, Ying-Lin (2011). Bootstrapping Computation of Availability for a Repairable System with Standby subject to Imperfect Switching. Communications in Statistics-Simulation and Computation, 40, 469-483. 

37. Yen, M. F. and Hsu, Y. L. (2010). Profitability of Technical Analysis in Financial and Commodity Futures Markets: A Reality Check, Decision Support Systems, 50, 128-139. 

38. Chuang, H. W., Hsu, Ying-Lin and Lee, C. F. (2010). Application of the Characteristic Function in Financial Research.  Handbook of Quantitative Finance and Risk management  (Eds.:  Lee, C. F., Lee, A. C. and Lee, J.), 575-582, Springer, New York.  

39. Hsu, Y. L., Lin, T. I. and Lee, C. F. (2010). Constant Elasticity of Variance (CEV) Option Pricing Model: Integration and Detailed Derivations. Handbook of Quantitative Finance and Risk management  (Eds.:  Lee, C. F., Lee, A. C. and Lee, J.), 471-480, Springer, New York.  

40. Ke, Jau-Chuan Ke, Su, Zheng-Long, Wang, K.-H. and Hsu, Y.-L. (2010). Simulation Inferences for an availability system with general repair distribution and imperfect fault coverage. Simulation Modelling Practice and Theory, 18, 338-347. 

41. Lee, Ssu-Lang, Hsu, Ying-Lin and Ke, Jau-Chuan (2009). "ayesian Assessing for a Repairable System with Standby Imperfect Switching and Reboot Delay. International Journal of Systems Science, 40, 1149-1159. 

42. Hsu, Ying-Lin, Lee, Ssu-Lang and Ke, Jau-Chuan (2009). A repairable system with imperfect coverage and reboot: Bayesian and asymptotic estimation. Mathematics and Computers in Simulation, 79, 2227-2239. 

43. Hsia, Tai-Chang, Hsu, Ying-Lin, and Jen, Hsiao-Lih (2009). A Factor Analysis Based Selection Process for Predicting Successful University Color Guard Club Members.  Expert Systems With Applications, 36, 2719-2726. 

44. 許英麟、黃俊傑 (2008)。運用多變量分析探討金融市場之消費者決策行為。台灣銀行季刊，第59卷第3期，第1-28頁。

45. Ke, Jau-Chuan, Lee, Ssu-Lang, Hsu, Ying-Lin, and Chen, Yu-Tzu (2008). On a repairable system with an unreliable service station: Bayesian approach.  Computers & Mathematics with Applications, 56, 1668-1683. 

46. Ke, Jau-Chuan, Lee, Ssu-Lang, and  Hsu, Ying-Lin (2008). Bayesian Analysis for a Redundant Repairable System with Imperfect Coverage. Communications in Statistics-Simulation and Computation, 37, 993-1004. 

47. Ke, Jau-Chuan, Lee, Ssu-Lang, and Hsu, Ying-Lin (2008). On a repairable system with detection, imperfect coverage and reboot: Bayesian approach.  Simulation Modelling Practice and Theory, 16, 353-367. 

48. Hsu, Y. L., Lin, T. I. and Lee, C. F. (2008). Constant Elasticity of Variance (CEV) Option Pricing Model: Integration and Detailed Derivations. Mathematics and Computers in Simulation, 79, 60-71. 

49. Hsu, Ying-Lin, Ke, Jau-Chuan, and Lee, Ssu-Lang (2008). On a redundant repairable system with switching failure: Bayesian approach. Journal of Statistical Computation and Simulation, 78, 1161-1178. 

50. Hsu, Y. L., Kueng, T. L., Lee, J. C., and Lin, T. I. (2005). Parameter Estimation and Future Value Prediction of Generalized Growth Curve Model with Power Transformation, Random Effects and General AR(g) Dependence, Journal of Chinese Statistical Association, 43, 451-471. 

51. Lee, J. C., Lin, T. I., Lee, K. J. and Hsu, Y. L. (2005). Bayesian Analysis of Box-Cox Transformed Linear Mixed Model with ARMA(p,q) Dependence. Journal of Statistical Planning and Inference, 133, 435-451. 

52. Lee, J. C. and Hsu, Y. L. (2003). Estimation and Prediction of Generalized Growth Curve with Grouping Variances in AR(q) Dependence Structure. Biometrical Journal, 45, 165-181. 

53. Lee, J. C. and Hsu, Y. L. (1997). Bayesian Analysis of Growth Curves with AR(1) Dependence. Journal of Statistical Planning and Inference, 64, 205-229.