research
∙
07/27/2023
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting
Traffic forecasting, which aims to predict traffic conditions based on h...
share
research
∙
03/25/2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
With the development of sophisticated sensors and large database technol...
research
∙
11/29/2022
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
We propose a trust-region stochastic sequential quadratic programming al...
research
∙
01/20/2022
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning
Travel Time Estimation (TTE) is indispensable in intelligent transportat...
research
∙
12/06/2021
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting
Traffic forecasting plays an indispensable role in the intelligent trans...
research
∙
12/06/2021
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting
Traffic forecasting is important in intelligent transportation systems o...
research
∙
12/04/2021
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting
Traffic forecasting is a problem of intelligent transportation systems (...
research
∙
12/04/2021
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting
Traffic prediction has gradually attracted the attention of researchers ...
research
∙
11/10/2019
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
Sequential recommendation task aims to predict user preference over item...
research
∙
05/02/2019
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
User response prediction, which models the user preference w.r.t. the pr...
research
∙
08/11/2018