67 citations · 164 across the 11 of their papers we have counts for
5 papers · 1 filter
A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder
Xinyao Liu, Shengdong Du, Tianrui Li +2
With the advent of the big data era, the data quality problem is becoming more critical. Among many factors, data with missing values is one primary issue, and thus developing effe…
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting
Benhan Li, Shengdong Du, Tianrui Li +2
Time-series forecasting plays an important role in many real-world scenarios, such as equipment life cycle forecasting, weather forecasting, and traffic flow forecasting. It can be…
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,…
A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting
Benhan Li, Shengdong Du, Tianrui Li
Time series forecasting is widely used in the fields of equipment life cycle forecasting, weather forecasting, traffic flow forecasting, and other fields. Recently, some scholars h…
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting
Jiabin Tang, Tang Qian, Shijing Liu +3
Accurate traffic forecasting, the foundation of intelligent transportation systems (ITS), has never been more significant than nowadays due to the prosperity of smart cities and ur…