2026

Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting

Siru Zhong, Meng Zhao, Haohuan Fu, Haoyang Li, Qingsong Wen, Yuxuan Liang

Under review.

[Paper]

Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting

Siru Zhong, Meng Zhao, Haohuan Fu, Haoyang Li, Qingsong Wen, Yuxuan Liang

Under review.

[Paper]

Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation
Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation

Zhiqing Cui, Haotong Xie, Jiahao Yuan, Cheng Yang, Hanqing Wang, Yuxin Wu, Yifan Wu, Siru Zhong, Tao Yu, Yifu Guo, Siyu Zhang, Xinlei Yu, Qibing Ren, Usman Naseem

Under review.

[Paper]

Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation
Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation

Zhiqing Cui, Haotong Xie, Jiahao Yuan, Cheng Yang, Hanqing Wang, Yuxin Wu, Yifan Wu, Siru Zhong, Tao Yu, Yifu Guo, Siyu Zhang, Xinlei Yu, Qibing Ren, Usman Naseem

Under review.

[Paper]

TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models

Sisuo Lyu*, Siru Zhong*, Tiegang Chen, Weilin Ruan, Qingxiang Liu, Taiqiang Lv, Qingsong Wen, Raymond Chi-Wing Wong, Yuxuan Liang (* equal contribution)

Under review.

[Code] [Paper]

TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models

Sisuo Lyu*, Siru Zhong*, Tiegang Chen, Weilin Ruan, Qingxiang Liu, Taiqiang Lv, Qingsong Wen, Raymond Chi-Wing Wong, Yuxuan Liang (* equal contribution)

Under review.

[Code] [Paper]

Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting
Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting

Zhiqing Cui*, Siru Zhong*, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang (* equal contribution)

Under review.

[Paper]

Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting
Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting

Zhiqing Cui*, Siru Zhong*, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang (* equal contribution)

Under review.

[Paper]

DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting

Siru Zhong, Yiqiu Liu, Zhiqing Cui, Zezhi Shao, Fei Wang, Qingsong Wen, Yuxuan Liang

ICML (International Conference on Machine Learning) 2026, Seoul, South Korea

[Code] [Paper] [时空探索之旅]

DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting

Siru Zhong, Yiqiu Liu, Zhiqing Cui, Zezhi Shao, Fei Wang, Qingsong Wen, Yuxuan Liang

ICML (International Conference on Machine Learning) 2026, Seoul, South Korea

[Code] [Paper] [时空探索之旅]

Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models
Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models

Siru Zhong, Junjie Qiu, Yangyu Wu, Yiqiu Liu, Yuanpeng He, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang

Under review.

[Code] [Paper] [AI TIME 论道] [时空探索之旅]

Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models
Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models

Siru Zhong, Junjie Qiu, Yangyu Wu, Yiqiu Liu, Yuanpeng He, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang

Under review.

[Code] [Paper] [AI TIME 论道] [时空探索之旅]

2025

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting

Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang

AAAI (AAAI Conference on Artificial Intelligence) 2026, Singapore

[Code] [Paper]

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting

Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang

AAAI (AAAI Conference on Artificial Intelligence) 2026, Singapore

[Code] [Paper]

Learning to Factorize Spatio-Temporal Foundation Models
Learning to Factorize Spatio-Temporal Foundation Models

Siru Zhong, Junjie Qiu, Yangyu Wu, Xingchen Zou, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang

NeurIPS (Advances in Neural Information Processing Systems) 2025, Santiago, America Spotlight (688/21,575, 3.19%)

[Code] [Paper] [AI TIME 论道] [时空探索之旅]

Learning to Factorize Spatio-Temporal Foundation Models
Learning to Factorize Spatio-Temporal Foundation Models

Siru Zhong, Junjie Qiu, Yangyu Wu, Xingchen Zou, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang

NeurIPS (Advances in Neural Information Processing Systems) 2025, Santiago, America Spotlight (688/21,575, 3.19%)

[Code] [Paper] [AI TIME 论道] [时空探索之旅]

Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting

Weilin Ruan, Wenzhuo Wang, Siru Zhong, Wei Chen, Li Liu, Yuxuan Liang

IEEE Transactions on Intelligent Transportation Systems, 2025

[Paper] [Code]

Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting

Weilin Ruan, Wenzhuo Wang, Siru Zhong, Wei Chen, Li Liu, Yuxuan Liang

IEEE Transactions on Intelligent Transportation Systems, 2025

[Paper] [Code]

Towards Multi-Scenario Forecasting of Building Electricity Loads with Multimodal Data
Towards Multi-Scenario Forecasting of Building Electricity Loads with Multimodal Data

Yongzheng Liu, Siru Zhong, Gefeng Luo, Weilin Ruan, Yuxuan Liang

ACM MM (ACM International Conference on Multimedia) 2025, Dublin, Ireland Oral

[Paper] [时序之心] [时序大模型]

Towards Multi-Scenario Forecasting of Building Electricity Loads with Multimodal Data
Towards Multi-Scenario Forecasting of Building Electricity Loads with Multimodal Data

Yongzheng Liu, Siru Zhong, Gefeng Luo, Weilin Ruan, Yuxuan Liang

ACM MM (ACM International Conference on Multimedia) 2025, Dublin, Ireland Oral

[Paper] [时序之心] [时序大模型]

Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework
Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework

Xingchen Zou, Weilin Ruan, Siru Zhong, Yuehong Hu, Yuxuan Liang

KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) 2025, Toronto, Canada

[Code] [Paper]

Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework
Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework

Xingchen Zou, Weilin Ruan, Siru Zhong, Yuehong Hu, Yuxuan Liang

KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) 2025, Toronto, Canada

[Code] [Paper]

Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models

Weilin Ruan, Siru Zhong, Haomin Wen, Yuxuan Liang

Under review.

[Paper]

Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models

Weilin Ruan, Siru Zhong, Haomin Wen, Yuxuan Liang

Under review.

[Paper]

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Siru Zhong, Weilin Ruan, Min Jin, Huan Li, Qingsong Wen, Yuxuan Liang

ICML (International Conference on Machine Learning) 2025, Vancouver, Canada

[Code] [Paper] [时序大模型] [大头的算法笔记] [时序量化Top] [时序前沿研究] [当交通遇上机器学习] [圆圆的算法笔记]

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Siru Zhong, Weilin Ruan, Min Jin, Huan Li, Qingsong Wen, Yuxuan Liang

ICML (International Conference on Machine Learning) 2025, Vancouver, Canada

[Code] [Paper] [时序大模型] [大头的算法笔记] [时序量化Top] [时序前沿研究] [当交通遇上机器学习] [圆圆的算法笔记]

Multimodal Learning for Spatio-Temporal Data Mining
Multimodal Learning for Spatio-Temporal Data Mining

Siru Zhong, Xixuan Hao, Hao Miao, Yan Zhao, Oingsong Wen, Roger Zimmermann, Yuxuan Liang

ACM MM (ACM International Conference on Multimedia) 2025, Dublin, Ireland

[Code] [Site]

Multimodal Learning for Spatio-Temporal Data Mining
Multimodal Learning for Spatio-Temporal Data Mining

Siru Zhong, Xixuan Hao, Hao Miao, Yan Zhao, Oingsong Wen, Roger Zimmermann, Yuxuan Liang

ACM MM (ACM International Conference on Multimedia) 2025, Dublin, Ireland

[Code] [Site]

UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Model for Urban Indicator Prediction
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Model for Urban Indicator Prediction

Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang

AAAI (AAAI Conference on Artificial Intelligence) 2025, Philadelphia, America

[Code] [Paper] [遥感GIS大模型]

UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Model for Urban Indicator Prediction
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Model for Urban Indicator Prediction

Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang

AAAI (AAAI Conference on Artificial Intelligence) 2025, Philadelphia, America

[Code] [Paper] [遥感GIS大模型]

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks

Qiongyan WANG, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shi Fen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang

AAAI (AAAI Conference on Artificial Intelligence) 2025, Philadelphia, America

[Code] [Paper]

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks

Qiongyan WANG, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shi Fen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang

AAAI (AAAI Conference on Artificial Intelligence) 2025, Philadelphia, America

[Code] [Paper]

2024

Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting
Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting

Jianxiang Zhou, Erdong Liu, Wei Chen, Siru Zhong, Yuxuan Liang

Under review.

[Code] [Paper]

Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting
Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting

Jianxiang Zhou, Erdong Liu, Wei Chen, Siru Zhong, Yuxuan Liang

Under review.

[Code] [Paper]

UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation

Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang

ACM MM (ACM International Conference on Multimedia) 2024, Melbourne, Australia

[Code] [Paper] [遥感与深度学习]

UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation

Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang

ACM MM (ACM International Conference on Multimedia) 2024, Melbourne, Australia

[Code] [Paper] [遥感与深度学习]

Spatio-Temporal Field Neural Networks for Air Quality Inference
Spatio-Temporal Field Neural Networks for Air Quality Inference

Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Kun Wang, Shifen Cheng, Yuxuan Liang

IJCAI (International Joint Conference on Artificial Intelligence) 2024, Jeju Island, South Korea Oral

[Code] [Paper]

Spatio-Temporal Field Neural Networks for Air Quality Inference
Spatio-Temporal Field Neural Networks for Air Quality Inference

Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Kun Wang, Shifen Cheng, Yuxuan Liang

IJCAI (International Joint Conference on Artificial Intelligence) 2024, Jeju Island, South Korea Oral

[Code] [Paper]

Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach

Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

IJCAI (International Joint Conference on Artificial Intelligence) 2024, Jeju Island, South Korea Oral

[Code] [Paper] [Dataset]

Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach

Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

IJCAI (International Joint Conference on Artificial Intelligence) 2024, Jeju Island, South Korea Oral

[Code] [Paper] [Dataset]

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web

Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

WWW (The Web Conference) 2024, Singapore Oral

[Code] [Paper] [遥感GIS大模型]

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web

Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

WWW (The Web Conference) 2024, Singapore Oral

[Code] [Paper] [遥感GIS大模型]