Mobile Agents for Distributed Transactions of a Distributed Heterogeneous Database System. - Ding Yen Ye; Ming-Che Lee; Tzone I. Wang (DEXA, 2002)

A Secured Service Framework for Mobile Agent based Distributed Systems. - Tzone I. Wang; Ming-Che Lee; Ding Yen Ye (IASTED PDCS, 2002)

A Two-Layer Cryptographic Scheme for an e-Service Framework Based on Mobile Agents. - Tzone I. Wang; Kun Hua Tsai; Ming-Che Lee (EEE, 2004)

Java Learning Object Ontology. - Ming-Che Lee; Ding Yen Ye; Tzone I. Wang (ICALT, 2005)

Smart Time Management - the unified time synchronization interface for the distributed simulation. - Jiung-yao Huang; Ming-Chih Tung; Kuei Min Wang; Ming-Che Lee (Comput. Stand. Interfaces, 2005)

An Approach for the Unified Time Management Mechanism for HLA. - Jiung-yao Huang; Ming-Chih Tung; Hui Lin; Ming-Che Lee (Simul., 2005)

An Ontological Approach for Semantic-Aware Learning Object Retrieval. - Ming-Che Lee; Kun Hua Tsai; Tzone I. Wang (ICALT, 2006)

A Learning Objects Recommendation Model based on the Preference and Ontological Approaches. - Kun Hua Tsai; Ti Kai Chiu; Ming-Che Lee; Tzone I. Wang (ICALT, 2006)

A Service-Based Framework for Personalized Learning Objects Retrieval and Recommendation. - Ming-Che Lee; Kun Hua Tsai; Ding Yen Ye; Tzone I. Wang (ICWL, 2006)

An Ontological Approach for Semantic Learning Objects Interoperability. - Ming-Che Lee; Kun Hua Tsai; Tung-Cheng Hsieh; Ti Kai Chiu; Tzone I. Wang (ICALT, 2007)

Automated Course Composition and Recommendation based on a Learner Intention. - Kun Hua Tsai; Tung-Cheng Hsieh; Ti Kai Chiu; Ming-Che Lee; Tzone I. Wang (ICALT, 2007)

Personalized Learning Objects Recommendation based on the Semantic-Aware Discovery and the Learner Preference Pattern. - Tzone I. Wang; Kun Hua Tsai; Ming-Che Lee; Ti Kai Chiu (J. Educ. Technol. Soc., 2007)

A practical ontology query expansion algorithm for semantic-aware learning objects retrieval. - Ming-Che Lee; Kun Hua Tsai; Tzone I. Wang (Comput. Educ., 2008)

Sentence Similarity Computation Based on POS and Semantic Nets. - Ming-Che Lee; Jia Wei Zhang; Wen Xiang Lee; Heng Yu Ye (NCM, 2009)

Partially constructed knowledge for semantic query. - Tzone I. Wang; Tung-Cheng Hsieh; Kun Hua Tsai; Ti Kai Chiu; Ming-Che Lee (Expert Syst. Appl., 2009)

Dynamic computerized testlet-based test generation system by discrete PSO with partial course ontology. - Kun Hua Tsai; Tzone I. Wang; Tung-Cheng Hsieh; Ti Kai Chiu; Ming-Che Lee (Expert Syst. Appl., 2010)

A novel sentence similarity measure for semantic-based expert systems. - Ming-Che Lee (Expert Syst. Appl., 2011)

A multi-strategy knowledge interoperability framework for heterogeneous learning objects. - Ming-Che Lee; Kun Hua Tsai; Tung-Cheng Hsieh (Expert Syst. Appl., 2011)

A Fuzzy Logic-based Personalized Learning System for Supporting Adaptive English Learning. - Tung-Cheng Hsieh; Tzone-I Wang; Chien-Yuan Su; Ming-Che Lee (J. Educ. Technol. Soc., 2012)

Designing and implementing a personalized remedial learning system for enhancing the programming learning. - Tung-Cheng Hsieh; Ming-Che Lee; Chien-Yuan Su (J. Educ. Technol. Soc., 2013)

Impact of Using Creative Thinking Skills and Open Data on Programming Design in a Computer-Supported Collaborative Learning Environment. - Jia-Wei Chang; Tzone-I Wang; Ming-Che Lee; Chien-Yuan Su; Po-Chin Chang (ICALT, 2016)

Integrating a semantic-based retrieval agent into case-based reasoning systems: A case study of an online bookstore. - Jia-Wei Chang; Ming-Che Lee; Tzone I. Wang (Comput. Ind., 2016)

Enhancement of Structured Reporting - an Integration Reporting Module with Radiation Dose Collection Supporting. - Ming-Che Lee; Kei-Shih Chuang; Tien-Cheng Hsu; Chien-Ding Lee (J. Medical Syst., 2016)

A Deep Convolutional Neural Network Based Virtual Elderly Companion Agent. - Ming-Che Lee; Sheng-Cheng Yeh; Sheng Yu Chiu; Jia-Wei Chang (MMSys, 2017)

A Deep Convolutional Neural Network based Chinese Menu Recognition App. - Ming-Che Lee; Sheng Yu Chiu; Jia-Wei Chang (Inf. Process. Lett., 2017)

Forecasting the Short-term Price Trend of Taiwan Stocks with Deep Neural Network. - Ming-Che Lee; Jie-Shan Liao; Sheng-Cheng Yeh; Jia-Wei Chang (IC4E, 2020)

Enabling Intelligent Environment by the Design of Emotionally Aware Virtual Assistant: A Case of Smart Campus. - Po-Sheng Chiu; Jia-Wei Chang; Ming-Che Lee; Ching-Hui Chen; Da-Sheng Lee (IEEE Access, 2020)

An Integrated Detection Circuit for Transmission Coefficients. - Ming-Che Lee; Chi-Yo Huang (IEEE Access, 2020)

An Efficient Rectilinear and Octilinear Steiner Minimal Tree Algorithm for Multidimensional Environments. - Ming-Che Lee; Gene Eu Jan; Chung-Chin Luo (IEEE Access, 2020)

Using Variation Theory as a Guiding Principle in an OOP Assisted Syntax Correction Learning System. - Ming-Che Lee; Jia-Wei Chang; Tzone-I Wang; Zi Feng Huang (Int. J. Emerg. Technol. Learn., 2020)

Study on emotion recognition and companion Chatbot using deep neural network. - Ming-Che Lee; Shu-Yin Chiang; Sheng-Cheng Yeh; Ting-Feng Wen (Multim. Tools Appl., 2020)

Exploring the effectiveness of deep neural networks with technical analysis applied to stock market prediction. - Ming-Che Lee; Jia-Wei Chang; Jason C. Hung; Bae-Ling Chen (Comput. Sci. Inf. Syst., 2021)

Hybrid tree-and-multiple-ring radio-over-fiber transmission system for a 5G network in metropolitan areas. - Ming-Che Lee; Ching-Hung Chang; Guan-Jhang Huang; Chen-Wei Liou (JOCN, 2022)

Applying attention-based BiLSTM and technical indicators in the design and performance analysis of stock trading strategies. - Ming-Che Lee; Jia-Wei Chang; Sheng-Cheng Yeh; Tsorng-Lin Chia; Jie-Shan Liao; Xu-Ming Chen (Neural Comput. Appl., 2022)

Research on Chinese Speech Emotion Recognition Based on Deep Neural Network and Acoustic Features. - Ming-Che Lee; Sheng-Cheng Yeh; Jia-Wei Chang; Zhen-Yi Chen (Sensors, 2022)

Cryptocurrency Price Forecasting Using Deep Learning Model with Technical Indicators. - Ming-Che Lee; Ru Jun Xu (ICEIC, 2025)

Comprehensive image restoration for robot-assisted PC-side UI automated testing using neural network. - Yunxiang Zhu; Hailei Ding; Yangkun Zhu; Jingtao Hu; Ming-Che Lee; Chaklam Silpasuwanchai; Min Huang; Yibo Zou (Neurocomputing, 2025)