Prof. Ping-Feng Pai

Department of Information Management

National Chi Nan University, Taiwan

Email: paipf@ncnu.edu.tw

Qualifications

1998  Ph.D., Kansas State University, USA

1992  M.S., National Chiao-Tung University, Taiwan

1990  B.S., National Chiao-Tung University, Taiwan

Publications (Selected)

1. Chang, You-Jeng, Ying-Lei Lin, and Ping-Feng Pai. "Support Vector Machines with Hyperparameter Optimization Frameworks for Classifying Mobile Phone Prices in Multi-Class." Electronics 14.11 (2025): 2173.
2. Lai, Jung-Pin, et al. "Predicting Thermal Resistance of Packaging Design by Machine Learning Models." Micromachines 16.3 (2025): 350.
3. Hsu, Wan-Lu, et al. "Forecasting Corporate Financial Performance Using Deep Learning with Environmental, Social, and Governance Data." Electronics 14.3 (2025): 417.
4. Lai, Li-Hsing, et al. "The use of machine learning models with Optuna in disease prediction." Electronics 13.23 (2024): 4775.
5. Tsai, Ming-Jr, et al. "Using Deep Learning, Optuna, and Digital Images to Identify Necrotizing Fasciitis." Electronics 13.22 (2024): 4421.
6. Lai, Jung-Pin, et al. "Machine Learning Models with Synthetic Minority Oversampling in Predicting Substrate Warpage (IMPACT 2024)." 2024 19th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT). IEEE, 2024.
7. Chen, Chieh-Huang, Ying-Lei Lin, and Ping-Feng Pai. "Forecasting flower prices by long short-term memory model with optuna." Electronics 13.18 (2024): 3646.
8. Yang, Wen-Chieh, et al. "Using medical data and clustering techniques for a smart healthcare system." Electronics 13.1 (2023): 140.
9. Lai, Jung-Pin, et al. "Machine Learning in Integrated Circuit Substrate Electrical Test (IMPACT 2023)." 2023 18th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT). IEEE, 2023.
10. Chen, Chieh-Huang, et al. "A study of optimization in deep neural networks for regression." Electronics 12.14 (2023): 3071.
11. Li, Yu-Shan, Ping-Feng Pai, and Ying-Lei Lin. "Forecasting inflation rates be extreme gradient boosting with the genetic algorithm." Journal of Ambient Intelligence and Humanized Computing 14.3 (2023): 2211-2220.
12. Lai, Jung-Pin, and Ping-Feng Pai. "A Dual Long Short-Term Memory Model in Forecasting the Number of COVID-19 Infections." Electronics 12.3 (2023): 759.
13. Lai, Jung-Pin, et al. "Tree-based machine learning models with optuna in predicting impedance values for circuit analysis." Micromachines 14.2 (2023): 265.
14. Fang, Chia-Chi, et al. "Using Light Gradient Boosting Machine with Genetic Algorithms and Google Trends in Forecasting COVID-19 Confirmed Cases." International Journal of Information & Management Sciences 33.4 (2022).
15. Lin, Ying-Lei, Chi-Ju Lai, and Ping-Feng Pai. "Using deep learning techniques in forecasting stock markets by hybrid data with multilingual sentiment analysis." Electronics 11.21 (2022): 3513.