2025

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 (TITS, 2025)

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 (TITS, 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

Under review.

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

Under review.

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

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

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.

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.

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

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

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

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

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

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

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

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

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

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

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.

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.

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

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

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

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

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

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

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

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

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

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

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

International World Wide Web Conference (WWW 2024), Singapore

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

International World Wide Web Conference (WWW 2024), Singapore

Deepuhi

Deepuhi
Deepuhi