Pei-Xuan Li

16 papers A 3C 1Journal 5Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A conf
A Two-Stage Anomaly-Aware Framework for Robust Traffic Forecasting with Memory-Guided GNNs.
WSDM
Pei-Xuan Li, Cheng-Ru Chou, Jhe-Wei Tsai, Hsun-Ping Hsieh
2025 J jnl
Dual Attention with Self-Adaptive Negative Sampling for Session-Based Recommendation.
ACM Trans. Manag. Inf. Syst.
Yu-Chen Chen, Pei-Xuan Li, Hsun-Ping Hsieh, Chris Shei
2025 J jnl
Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module.
CoRR
Pei-Xuan Li, Wei-Yun Liang, Fandel Lin, Hsun-Ping Hsieh
2025 — conf
FOG: Interpretable Feature-Oriented Graph Neural Networks for Tabular Data Prediction.
PAKDD (7)
Teng-Yuan Tsou, Pei-Xuan Li, Fandel Lin, Hsun-Ping Hsieh
2025 — conf
GRIDS: A Geospatial AI System for Land Boundary Demarcation and Scheduling.
ICDM (Workshops)
Min-Huan Tsai, Chia-Chen Tsai, En-Zuo Huang, Pei-Xuan Li, Hsun-Ping Hsieh, Yu-Yin Wang, Tzu-Chang Lee
2025 — conf
Multi-modal Spatio-temporal Forecasting in Sensor-less Regions: A Dual-stage Graph Approach from Disease to Crime.
SIGSPATIAL/GIS
Pei-Xuan Li, Hsun-Ping Hsieh
2025 J jnl
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor.
ACM Trans. Intell. Syst. Technol.
Pei-Xuan Li, Hsun-Ping Hsieh
2025 — conf
Session-Based Recommendation with Multi-granularity User Intent and Dual-Channel Sparse Graph Attention Networks.
PAKDD (3)
Pei-Xuan Li, Chia-Lung Lin, Hsun-Ping Hsieh
2024 — conf
ACCEPT: A Context-Sensitive, Configurable, and Extensible Prediction Tool using Grid-based Data Processing and Neural Networks in Geospatial Decision Support.
SIGSPATIAL/GIS
Teng-Yuan Tsou, Shih-Yu Lai, Hsuan-Ching Chen, Jung-Tsang Yeh, Pei-Xuan Li, Tzu-Chang Lee, Hsun-Ping Hsieh
2024 J jnl
Enhancing Robust Liver Cancer Diagnosis: A Contrastive Multi-Modality Learner with Lightweight Fusion and Effective Data Augmentation.
ACM Trans. Comput. Heal.
Pei-Xuan Li, Hsun-Ping Hsieh, Yang Fan Chiang, Ding-You Wu, Ching-Chung Ko
2024 J jnl
Estimating Future Financial Development of Urban Areas for Deploying Bank Branches: A Local-Regional Interpretable Model.
ACM Trans. Manag. Inf. Syst.
Pei-Xuan Li, Yu-En Chang, Ming-Chun Wei, Hsun-Ping Hsieh
2024 A conf
LINKin-PARK: Land Valuation Information and Knowledge in Predictive Analysis and Reporting Kit via Dual Attention-DCCNN.
CIKM
Teng-Yuan Tsou, Shih-Yu Lai, Hsuan-Ching Chen, Jung-Tsang Yeh, Pei-Xuan Li, Tzu-Chang Lee, Hsun-Ping Hsieh
2023 — conf
Exploring Feature Fusion from A Contrastive Multi-Modality Learner for Liver Cancer Diagnosis.
MMAsia
Yang Fan Chiang, Pei-Xuan Li, Ding-You Wu, Hsun-Ping Hsieh, Ching-Chung Ko
2023 — conf
Forecasting Dengue Fever Risk in Regions without Sensors Using Multi-View Graph Fusion Recurrent Neural Network.
SIGSPATIAL/GIS
Pei-Xuan Li, Hsun-Ping Hsieh
2023 A conf
ParkFlow: Intelligent Dispersal for Mitigating Parking Shortages Using Multi-Granular Spatial-Temporal Analysis.
CIKM
Yang Fan Chiang, Chun-Wei Shen, Jhe-Wei Tsai, Pei-Xuan Li, Tzu-Chang Lee, Hsun-Ping Hsieh
2013 C conf
A Symmetric Image Encryption Scheme Using Chaotic Baker Map and Lorenz System.
CIS
Chong Fu, Wen-Jing Li, Zhao-yu Meng, Tao Wang, Pei-Xuan Li