Publications
(* equal contribution)
2026
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Preprint 2026
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Preprint 2026
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Preprint 2026
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Preprint 2026
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ICML 2026
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Preprint 2026
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Preprint 2026
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Preprint 2026
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KDD 2026 Oral
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Preprint 2026
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Technical Report 2026
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Preprint 2026
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Preprint 2026
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Preprint 2026
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Preprint 2026
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Preprint 2026
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ACM MM 2026
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Technical Report 2026
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Preprint 2026
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AAAI 2026
2025
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NeurIPS 2025 Spotlight (3.19%)
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ICML 2025
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ACM MM 2025 Tutorial
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IEEE TITS 2025
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ACM MM 2025 Oral
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KDD 2025 Oral
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Preprint 2025
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AAAI 2025
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AAAI 2025
2024
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ACM MM 2024
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Preprint 2024
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IJCAI 2024 Oral
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IJCAI 2024 Oral
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WWW 2024 Oral (9.6%)
Media coverage
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Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
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TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
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DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
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OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
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Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models
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Learning to Factorize Spatio-Temporal Foundation Models
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Towards Multi-Scenario Forecasting of Building Electricity Loads with Multimodal Data
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Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
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UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Model for Urban Indicator Prediction
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UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
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UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web