High-resolution multipath time delay estimation using a neural network. - Zhen-Ya He; Li-Hua Li (ICASSP, 1991)

A new remote user authentication scheme using smart cards. - Min-Shiang Hwang; Li-Hua Li (IEEE Trans. Consumer Electron., 2000)

A simple micro-payment scheme. - Min-Shiang Hwang; Iuon-Chang Lin; Li-Hua Li (J. Syst. Softw., 2001)

A remote password authentication scheme for multiserver architecture using neural networks. - Li-Hua Li; Iuon-Chang Lin; Min-Shiang Hwang (IEEE Trans. Neural Networks, 2001)

A remote user authentication scheme using hash functions. - Cheng-Chi Lee; Li-Hua Li; Min-Shiang Hwang (ACM SIGOPS Oper. Syst. Rev., 2002)

A new key authentication scheme based on discrete logarithms. - Cheng-Chi Lee; Min-Shiang Hwang; Li-Hua Li (Appl. Math. Comput., 2003)

Generalization of proxy signature-based on discrete logarithms. - Li-Hua Li; Shiang-Feng Tzeng; Min-Shiang Hwang (Comput. Secur., 2003)

A new remote user authentication scheme for multi-server architecture. - Iuon-Chang Lin; Min-Shiang Hwang; Li-Hua Li (Future Gener. Comput. Syst., 2003)

Automated Negotiation in Multiple e-Marketplaces by Using Learning Personalized Mobile Shopping Agents. - Fu-Ming Lee; Li-Hua Li; Yao-Chang Liu (IC-AI, 2004)

Discovering Inter-document Connectivity by Applying Topic Analysis Techniques. - Fu-Ming Lee; Li-Hua Li; Chi-Hsu Chen (IKE, 2004)

A key authentication scheme with non-repudiation. - Min-Shiang Hwang; Li-Hua Li; Cheng-Chi Lee (ACM SIGOPS Oper. Syst. Rev., 2004)

Cryptanalysis of an efficient secure group signature scheme. - Li-Hua Li; Chi-Yu Liu; Min-Shiang Hwang (ACM SIGOPS Oper. Syst. Rev., 2004)

A Study on Dynamic Bargaining Strategy under Time Constraints and with Incomplete Information. - Fu-Ming Lee; Li-Hua Li; Pao-Hsiao Chen (IAT, 2005)

Improvement of signature scheme based on factoring and discrete logarithms. - Li-Hua Li; Shiang-Feng Tzeng; Min-Shiang Hwang (Appl. Math. Comput., 2005)

A multi-stage collaborative filtering approach for mobile recommendation. - Li-Hua Li; Fu-Ming Lee; Yu-Chun Chen; Chieh-Yu Cheng (ICUIMC, 2009)

Using Ontology for Personalized Mobile Message Computation. - Li-Hua Li; Fu-Ming Lee; Yu-Chien Chou; Tsung-Jen Pu (AINA, 2010)

A Personalized Pair-Recommendation Approach Using Mobile Message Ontology. - Li-Hua Li; Fu-Ming Lee; Tsung-Jen Pu; Chih-Wei Chen (ICGEC, 2011)

A simplified method for improving the performance of product recommendation with sparse data. - Li-Hua Li; Fu-Ming Lee; Bo-Liang Chen; Shin-Fu Chen (iCAST, 2017)

Micro-lending Default Awareness Using Artificial Neural Network. - Li-Hua Li; Chi-Tien Lin; Shin-Fu Chen (ICMSSP, 2017)

Feature Selection on Credit Risk Prediction for Peer-to-Peer Lending. - Shin-Fu Chen; Goutam Chakraborty; Li-Hua Li (JSAI-isAI Workshops, 2018)

Comparing the efficiency of innovative teaching through digital mobile e-learning based on a DEA meta-frontier model. - Fu-Hsiang Kuo; Li-Hua Li; Chang-Yu Lai; Yu-Sheng Chu (IC4E, 2019)

Modeling and Prediction of Time-Series-A Case Study with Forex Data. - Yi Chen Shiao; Goutam Chakraborty; Shin-Fu Chen; Li-Hua Li; Rung Ching Chen (iCAST, 2019)

A Machine Learning Approach for Detection Plant Disease: Taking Orchid as Example. - Li-Hua Li; Yu-Sheng Chu; Jui-Yuan Chu; Shian-Hau Guo (ICVISP, 2019)

A Feature Selection Based DNN for Intrusion Detection System. - Li-Hua Li; Ramli Ahmad; Wen-Chung Tsai; Alok Kumar Sharma (IMCOM, 2021)

Comparing the Impact of Service Quality on Customers' Repurchase Intentions Based on Statistical Methods and Artificial Intelligence-Taking an Automotive Aftermarket (AM) Parts Sales Company as an Example. - Li-Hua Li; Chang-Yu Lai (IMCOM, 2021)

MLP-Mixer Approach for Corn Leaf Diseases Classification. - Li-Hua Li; Radius Tanone (ACIIDS (2), 2022)

An Improved Intrusion Detection Systems using BGAN. - Ramli Ahmad; Li-Hua Li; Alok Kumar Sharma (ICCE-TW, 2022)

Combining Conditional Generative Adversarial Networks and YOLOv4 for Mango Classification. - Li-Hua Li; Ling-Qi Jiang; Yu-Fang Peng; Ye-Shan Liu; Kai-Lun Chung (TAAI, 2022)

Compact Convolutional Transformer based on Sharpness-Aware Minimization for Image Classification. - Li-Hua Li; Radius Tanone (iCAST, 2023)

Boundary-Seeking GAN Approach to Improve Classification of Intrusion Detection Systems Based on Machine Learning Model. - Ramli Ahmad; Li-Hua Li; Alok Kumar Sharma; Radius Tanone (IMCOM, 2023)

Disease Identification in Potato Leaves using Swin Transformer. - Li-Hua Li; Radius Tanone (IMCOM, 2023)

Combining Classifiers for Deep Learning Mask Face Recognition. - Wen-Chang Cheng; Hung-Chou Hsiao; Yung-Fa Huang; Li-Hua Li (Inf., 2023)

STB: synthetic minority oversampling technique for tree-boosting models for imbalanced datasets of intrusion detection systems. - Li-Hua Li; Ramli Ahmad; Radius Tanone; Alok Kumar Sharma (PeerJ Comput. Sci., 2023)

Ensemble Learning based on CNN and Transformer Models for Leaf Diseases Classification. - Li-Hua Li; Radius Tanone (IMCOM, 2024)

ViT-CB: Integrating hybrid Vision Transformer and CatBoost to enhanced brain tumor detection with SHAP. - Radius Tanone; Li-Hua Li; Shoffan Saifullah (Biomed. Signal Process. Control., 2025)

Explainable AI based LightGBM prediction model to predict default borrower in social lending platform. - Li-Hua Li; Alok Kumar Sharma; Sheng-Tzong Cheng (Intell. Syst. Appl., 2025)

CM-MLP: hybrid convmixer-deep MLP architecture for enhanced identification of corn and apple leaf diseases. - Li-Hua Li; Radius Tanone (Neural Comput. Appl., 2025)