Data Science & Analytics

RelBench: A Benchmark for Deep Learning on Relational Databases NeurIPS 2024 Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract) AAAI 2024 Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast ICML 2024 RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction UAI 2024 Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators ICLR 2024 Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting NeurIPS 2024 Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective NeurIPS 2024 Retrieval-Augmented Diffusion Models for Time Series Forecasting NeurIPS 2024 Review-Enhanced Hierarchical Contrastive Learning for Recommendation AAAI 2024 Revisiting Clinical Outcome Prediction for MIMIC-IV NAACL 2024 Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling ICML 2024 Robust Spectral Clustering with Rank Statistics JMLR 2024 Root Cause Analysis in Microservice Using Neural Granger Causal Discovery AAAI 2024 RRL: Recommendation Reverse Learning AAAI 2024 RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection AAAI 2024 RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction IJCAI 2024 SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data AISTATS 2024 SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention ICML 2024 Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering AAAI 2024 SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series NeurIPS 2024 SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation IJCAI 2024 Scalable Algorithms for Individual Preference Stable Clustering AISTATS 2024 Scalable DBSCAN with Random Projections NeurIPS 2024 Scalable Learning of Item Response Theory Models AISTATS 2024 Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation ICML 2024