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GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference

We proposed a method for geo-sensory data inference, to collectively infer the readings of unobserved locations.

Songyu Ke, Yuxuan Liang, Xiuwen Yi*, Junbo Zhang, Yu Zheng

GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference

Personalized Federated Continual Learning via Multi-Granularity Prompt

Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li

Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction

Dekang Qi, Xiuwen Yi*, Chengjie Guo, Yanyong Huang, Junbo Zhang, Tianrui Li, Yu Zheng

VQGG: Generating Adaptive Graphs for Traffic Forecasting via a Vector-Quantized Graph Generator

We proposed a new neural module to generate dynamic adaptive graphs for traffic forecasting.

Songyu Ke, Chenyu Wu, Jinjin Guo, Junbo Zhang, Yu Zheng

VQGG: Generating Adaptive Graphs for Traffic Forecasting via a Vector-Quantized Graph Generator

DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model

Yuhao Zheng, Lian Zhong, Senzhang Wang, Yu Yang, Weixi Gu, Junbo Zhang, Jianxin Wang

MLPST: MLP is All You Need for Spatio-Temporal Prediction

Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

Robust prediction of citywide traffic flows at different time periods plays a crucial role in intelligent transportation systems. While …

Jiahao Ji*, Jingyuan Wang, Chao Huang*, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation

Cross-domain recommendation (CDR) aims to alleviate the data sparsity by transferring knowledge from an informative source domain to …

Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng

Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation

AutoSTL: Automated Spatio-Temporal Multi-Task Learning

Spatio-temporal prediction plays a critical role in smart city construction. Jointly modeling multiple spatio-temporal tasks can …

Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang

AutoSTL: Automated Spatio-Temporal Multi-Task Learning

AirFormer: Predicting Nationwide Air Quality in China with Transformers

Air pollution is a crucial issue affecting human health and livelihoods, as well as one of the barriers to economic growth. Forecasting …

Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann

AirFormer: Predicting Nationwide Air Quality in China with Transformers