Pei-Xuan Li

According to our database, Pei-Xuan Li authored at least 19 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module.

Pei-Xuan Li, Cheng-Ru Chou, Wei-Yun Liang, Fandel Lin, Hsun-Ping Hsieh

ACM Trans. Intell. Syst. Technol., June, 2026

SAMPLE: A Spatial/Channel-wise Attention GCN with MLP and Periodic Linear Encoding for Land Boundary Demarcation System.

Min-Huan Tsai, Cheng-Ru Chou, Chia-Chen Tsai, Yu-Yin Wang, Pei-Xuan Li, Hsun-Ping Hsieh, Tzu-Chang Lee

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

G-SEIR: A Graph-Enhanced Epidemic Forecasting System for Dengue Intervention.

Cheng-Ru Chou, Shou-Po Tsai, Jing-Zhe Huang, Hsu-Han Tu, Pei-Xuan Li, Hsun-Ping Hsieh

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

A Two-Stage Anomaly-Aware Framework for Robust Traffic Forecasting with Memory-Guided GNNs.

Pei-Xuan Li, Cheng-Ru Chou, Jhe-Wei Tsai, Hsun-Ping Hsieh

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

Dual Attention with Self-Adaptive Negative Sampling for Session-Based Recommendation.

Yu-Chen Chen, Pei-Xuan Li, Hsun-Ping Hsieh, Chris Shei

ACM Trans. Manag. Inf. Syst., December, 2025

Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module.

Pei-Xuan Li, Wei-Yun Liang, Fandel Lin, Hsun-Ping Hsieh

CoRR, July, 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., June, 2025

FOG: Interpretable Feature-Oriented Graph Neural Networks for Tabular Data Prediction.

Teng-Yuan Tsou, Pei-Xuan Li, Fandel Lin, Hsun-Ping Hsieh

Proceedings of the Data Science: Foundations and Applications, 2025

Session-Based Recommendation with Multi-granularity User Intent and Dual-Channel Sparse Graph Attention Networks.

Pei-Xuan Li, Chia-Lung Lin, Hsun-Ping Hsieh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

GRIDS: A Geospatial AI System for Land Boundary Demarcation and Scheduling.

Min-Huan Tsai, Chia-Chen Tsai, En-Zuo Huang, Pei-Xuan Li, Hsun-Ping Hsieh, Yu-Yin Wang, Tzu-Chang Lee

Proceedings of the IEEE International Conference on Data Mining, 2025

Multi-modal Spatio-temporal Forecasting in Sensor-less Regions: A Dual-stage Graph Approach from Disease to Crime.

Pei-Xuan Li, Hsun-Ping Hsieh

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

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., June, 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., April, 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

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Proceedings of the ACM Multimedia Asia 2023, 2023

Forecasting Dengue Fever Risk in Regions without Sensors Using Multi-View Graph Fusion Recurrent Neural Network.

Pei-Xuan Li, Hsun-Ping Hsieh

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2013

A Symmetric Image Encryption Scheme Using Chaotic Baker Map and Lorenz System.

Chong Fu, Wen-Jing Li, Zhao-yu Meng, Tao Wang, Pei-Xuan Li

Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013