A Symmetric Image Encryption Scheme Using Chaotic Baker Map and Lorenz System. - Chong Fu 001; Wen-Jing Li; Zhao-yu Meng; Tao Wang 061; Pei-Xuan Li (CIS, 2013)

ParkFlow: Intelligent Dispersal for Mitigating Parking Shortages Using Multi-Granular Spatial-Temporal Analysis. - Yang Fan Chiang; Chun-Wei Shen; Jhe-Wei Tsai; Pei-Xuan Li; Tzu-Chang Lee; Hsun-Ping Hsieh (CIKM, 2023)

Forecasting Dengue Fever Risk in Regions without Sensors Using Multi-View Graph Fusion Recurrent Neural Network. - Pei-Xuan Li; Hsun-Ping Hsieh (SIGSPATIAL/GIS, 2023)

Exploring Feature Fusion from A Contrastive Multi-Modality Learner for Liver Cancer Diagnosis. - Yang Fan Chiang; Pei-Xuan Li; Ding-You Wu; Hsun-Ping Hsieh; Ching-Chung Ko (MMAsia, 2023)

LINKin-PARK: Land Valuation Information and Knowledge in Predictive Analysis and Reporting Kit via Dual Attention-DCCNN. - Teng-Yuan Tsou; Shih-Yu Lai; Hsuan-Ching Chen; Jung-Tsang Yeh; Pei-Xuan Li; Tzu-Chang Lee; Hsun-Ping Hsieh (CIKM, 2024)

ACCEPT: A Context-Sensitive, Configurable, and Extensible Prediction Tool using Grid-based Data Processing and Neural Networks in Geospatial Decision Support. - Teng-Yuan Tsou; Shih-Yu Lai; Hsuan-Ching Chen; Jung-Tsang Yeh; Pei-Xuan Li; Tzu-Chang Lee; Hsun-Ping Hsieh (SIGSPATIAL/GIS, 2024)

Enhancing Robust Liver Cancer Diagnosis: A Contrastive Multi-Modality Learner with Lightweight Fusion and Effective Data Augmentation. - Pei-Xuan Li; Hsun-Ping Hsieh; Yang Fan Chiang; Ding-You Wu; Ching-Chung Ko (ACM Trans. Comput. Heal., 2024)

Estimating Future Financial Development of Urban Areas for Deploying Bank Branches: A Local-Regional Interpretable Model. - Pei-Xuan Li; Yu-En Chang; Ming-Chun Wei; Hsun-Ping Hsieh (ACM Trans. Manag. Inf. Syst., 2024)

Session-Based Recommendation with Multi-granularity User Intent and Dual-Channel Sparse Graph Attention Networks. - Pei-Xuan Li; Chia-Lung Lin; Hsun-Ping Hsieh (PAKDD (3), 2025)

FOG: Interpretable Feature-Oriented Graph Neural Networks for Tabular Data Prediction. - Teng-Yuan Tsou; Pei-Xuan Li; Fandel Lin; Hsun-Ping Hsieh (PAKDD (7), 2025)

Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor. - Pei-Xuan Li; Hsun-Ping Hsieh (ACM Trans. Intell. Syst. Technol., 2025)

Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module. - Pei-Xuan Li; Wei-Yun Liang; Fandel Lin; Hsun-Ping Hsieh (CoRR, 2025)