Weighted Fuzzy Time Series Forecasting Model. - Jia-Wen Wang; Jing-Wei Liu (ACIIDS (1), 2010)

Intelligent preference selection model based on NRE for evaluating student learning achievement. - Yao-Hsien Chen; Ching-Hsue Cheng 001; Jing-Wei Liu (Comput. Educ., 2010)

Adaptive-expectation based multi-attribute FTS model for forecasting TAIEX. - Jing-Wei Liu; Tai-Liang Chen; Ching-Hsue Cheng 001; Yao-Hsien Chen (Comput. Math. Appl., 2010)

OWA rough set model for forecasting the revenues growth rate of the electronic industry. - Jing-Wei Liu; Ching-Hsue Cheng 001; Yao-Hsien Chen; Tai-Liang Chen (Expert Syst. Appl., 2010)

Design of Multimodal Biometric Information Management System Based on Commercial Systems. - WeiJian Zhu; Chuan-Zhi Zhuang; Jing-Wei Liu; Ming Huang 004 (CCBR, 2018)

Using big data database to construct new GFuzzy text mining and decision algorithm for targeting and classifying customers. - Jing-Wei Liu (Comput. Ind. Eng., 2019)

A Causal Time-Series Model Based on Multilayer Perceptron Regression for Forecasting Taiwan Stock Index. - Tai-Liang Chen; Ching-Hsue Cheng 001; Jing-Wei Liu (Int. J. Inf. Technol. Decis. Mak., 2019)

Image processing-based intelligent robotic system for assistance of agricultural crops. - Nikhil Paliwal; Pankhuri Vanjani; Jing-Wei Liu; Sandeep Saini; Abhishek Sharma (Int. J. Soc. Humanist. Comput., 2019)

Ambidextrous Innovation and Game Market Fit Performance: Feedback from Game Testers. - Jing-Wei Liu; Yi-Hsing Wang; Jacob Chia-An Tsai; Jamie Y. T. Chang (J. Comput. Inf. Syst., 2019)

The role of Sprint planning and feedback in game development projects: Implications for game quality. - Jing-Wei Liu; Chia-Yu Ho; Jamie Y. T. Chang; Jacob Chia-An Tsai (J. Syst. Softw., 2019)

An Intelligent Identification Model for the Selection of Elite Rowers by Incorporating Internet-of-Things Technology. - Jing-Wei Liu; Sheng-Hsiang Chen; Yen-Chen Huang; Ching-Tang Wang (IEEE Access, 2020)

Developing GAHP concepts for measurement of travel agency organizational performance. - Jing-Wei Liu (Soft Comput., 2020)

Research on improved wavelet convolutional wavelet neural networks. - Jing-Wei Liu; Fang-Ling Zuo; Ying-Xiao Guo; Tian-Yue Li; Jia-Ming Chen (Appl. Intell., 2021)

Constructing an artificial intelligence strategy algorithm for the identification of talented rowing athletes. - Jing-Wei Liu; Sheng-Hsiang Chen; Che-Hsiu Chen; Tsung-Han Huang (Soft Comput., 2023)

Enhancing Tennis Serve Scoring Efficiency: An AI Deep Learning Approach. - Jing-Wei Liu (Int. J. Interact. Multim. Artif. Intell., 2024)

Using video analysis and artificial neural network to explore association rules and influence scenarios in elite table tennis matches. - Jing-Wei Liu; Ming-Hua Hsu; Chun-Liang Lai; Sheng-K. Wu (J. Supercomput., 2024)

Deep learning-driven decision tree ensembles for table tennis: analyzing serve strategies and first-three-stroke outcomes. - Che-Wei Chang; Sheng-Hsiang Chen; Peng-Yu Chen; Jing-Wei Liu (Comput. Sci. Inf. Syst., 2025)