2024

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 Poster

First-ever cross-domain framework that integrates the power of LMM and SAM into satellite image-text retrieval.

[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 International Conference on Multimedia (ACM MM) 2024 Poster

First-ever cross-domain framework that integrates the power of LMM and SAM into satellite image-text retrieval.

[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

The International Joint Conference on Artificial Intelligence (IJCAI) 2024

A pioneering Spatio-Temporal Field Neural Network model integrates two distinct perspectives on space and time to perform air quality inference.

[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

The International Joint Conference on Artificial Intelligence (IJCAI) 2024

A pioneering Spatio-Temporal Field Neural Network model integrates two distinct perspectives on space and time to perform air quality inference.

[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

The International Joint Conference on Artificial Intelligence (IJCAI) 2024

A novel deep-learning prediction model for real-time parking availability in Singapore, analyzing external factors, introducing a new dataset.

[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

The International Joint Conference on Artificial Intelligence (IJCAI) 2024

A novel deep-learning prediction model for real-time parking availability in Singapore, analyzing external factors, introducing a new dataset.

[Paper]

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

The International World Wide Web Conference (WWW) 2024 Oral

First-ever cross-domain framework that integrates the power of LMM and SAM into satellite image-text retrieval.

[Paper]

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

The International World Wide Web Conference (WWW) 2024 Oral

First-ever cross-domain framework that integrates the power of LMM and SAM into satellite image-text retrieval.

[Paper]

2000

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. 2024

Introduce the Spatio-Temporal Graph Transformer (STGormer), a model that integrates attribute and structure information in traffic data to learn spatio-temporal correlations and uses a mixture-of-experts module to capture heterogeneity, leading to state-of-the-art performance in traffic forecasting.

[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. 2024

Introduce the Spatio-Temporal Graph Transformer (STGormer), a model that integrates attribute and structure information in traffic data to learn spatio-temporal correlations and uses a mixture-of-experts module to capture heterogeneity, leading to state-of-the-art performance in traffic forecasting.

[Code] [Paper]

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

Under review. 2024

First urban region representation learning framework that explores multi-granularity cross-modal alignment.

[Paper]

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

Under review. 2024

First urban region representation learning framework that explores multi-granularity cross-modal alignment.

[Paper]