ST-SSL

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

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

Generative-Free Urban Flow Imputation

Urban flow imputation, which aims to infer the missing flows of some locations based on the available flows of surrounding areas, is …

Senzhang Wang, Jiyue Li*, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang

Generative-Free Urban Flow Imputation

TrajFormer: Efficient Trajectory Classification with Transformers

Transformers have been an efficient alternative to recurrent neural networks in many sequential learning tasks. When adapting …

Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann

TrajFormer: Efficient Trajectory Classification with Transformers

Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning

Jiahao Ji*, Jingyuan Wang, Junjie Wu, Boyang Han, Junbo Zhang, Yu Zheng

Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning