206 citations · 953 across the 33 of their papers we have counts for
5 papers · 1 filter
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
Jiahao Ji, Jingyuan Wang, Chao Huang +5
Robust prediction of citywide traffic flows at different time periods plays a crucial role in intelligent transportation systems. While previous work has made great efforts to mode…
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Yuxuan Liang, Yutong Xia, Songyu Ke +5
Air pollution is a crucial issue affecting human health and livelihoods, as well as one of the barriers to economic and social growth. Forecasting air quality has become an increas…
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling
Gaode Chen, Yijun Su, Xinghua Zhang +6
Data insufficiency problems (i.e., data missing and label scarcity) caused by inadequate services and infrastructures or imbalanced development levels of cities have seriously affe…
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction
Peng Xie, Minbo Ma, Tianrui Li +4
Urban metro flow prediction is of great value for metro operation scheduling, passenger flow management and personal travel planning. However, it faces two main challenges. First,…
HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting
Minbo Ma, Peng Xie, Fei Teng +4
Weather Forecasting is an attractive challengeable task due to its influence on human life and complexity in atmospheric motion. Supported by massive historical observed time serie…