research
∙
08/01/2023
Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities
Person clustering with multi-modal clues, including faces, bodies, and v...
share
research
∙
06/23/2023
Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering
Passenger clustering based on travel records is essential for transporta...
research
∙
06/15/2023
Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting
Accurate traffic forecasting is vital to intelligent transportation syst...
research
∙
06/14/2023
A Unified Probabilistic Framework for Spatiotemporal Passenger Crowdedness Inference within Urban Rail Transit Network
This paper proposes the Spatio-Temporal Crowdedness Inference Model (STC...
research
∙
06/12/2023
Dynamic Causal Graph Convolutional Network for Traffic Prediction
Modeling complex spatiotemporal dependencies in correlated traffic serie...
research
∙
06/12/2023
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping
Correlated time series analysis plays an important role in many real-wor...
research
∙
06/05/2023
MM-DAG: Multi-task DAG Learning for Multi-modal Data – with Application for Traffic Congestion Analysis
This paper proposes to learn Multi-task, Multi-modal Direct Acyclic Grap...
research
∙
01/29/2023
Towards Inference Efficient Deep Ensemble Learning
Ensemble methods can deliver surprising performance gains but also bring...
research
∙
09/14/2022
Jointly Contrastive Representation Learning on Road Network and Trajectory
Road network and trajectory representation learning are essential for tr...
research
∙
03/09/2022
Domain Generalization using Pretrained Models without Fine-tuning
Fine-tuning pretrained models is a common practice in domain generalizat...
research
∙
11/08/2020
The Twelvefold Way of Non-Sequential Lossless Compression
Many information sources are not just sequences of distinguishable symbo...
research
∙
04/23/2020
Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile
Spatiotemporal data is very common in many applications, such as manufac...
research
∙
12/11/2019