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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...
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06/23/2023
Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering
Passenger clustering based on travel records is essential for transporta...
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06/15/2023
Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting
Accurate traffic forecasting is vital to intelligent transportation syst...
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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...
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06/12/2023
Dynamic Causal Graph Convolutional Network for Traffic Prediction
Modeling complex spatiotemporal dependencies in correlated traffic serie...
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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...
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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...
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01/29/2023
Towards Inference Efficient Deep Ensemble Learning
Ensemble methods can deliver surprising performance gains but also bring...
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09/14/2022
Jointly Contrastive Representation Learning on Road Network and Trajectory
Road network and trajectory representation learning are essential for tr...
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03/09/2022
Domain Generalization using Pretrained Models without Fine-tuning
Fine-tuning pretrained models is a common practice in domain generalizat...
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11/08/2020
The Twelvefold Way of Non-Sequential Lossless Compression
Many information sources are not just sequences of distinguishable symbo...
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04/23/2020
Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile
Spatiotemporal data is very common in many applications, such as manufac...
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12/11/2019
