Showing 1–17 of 17 results
/ Date/ Name
Jan 17, 2026Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation ModelsFeb 6, 2025Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series ForecastingJan 29, 2026DropoutTS: Sample-Adaptive Dropout for Robust Time Series ForecastingMay 7, 2026Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series ForecastingNov 14, 2024Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow ForecastingAug 3, 2025OccamVTS: Distilling Vision Models to 1% Parameters for Time Series ForecastingFeb 12, 2026TS-Memory: Plug-and-Play Memory for Time Series Foundation ModelsMay 6, 2026Uno-Orchestra: Parsimonious Agent Routing via Selective DelegationApr 22, 2024UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain AdaptationMay 29, 2024Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven ApproachAug 20, 2024Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic ForecastingMar 25, 2024UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator PredictionFeb 16, 2025Vision-Enhanced Time Series Forecasting via Latent Diffusion ModelsJan 22, 2025AirRadar: Inferring Nationwide Air Quality in China with Deep Neural NetworksJan 29, 2026Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality ForecastingOct 22, 2023UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the WebMar 2, 2024Spatio-Temporal Field Neural Networks for Air Quality Inference