most citedFedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder

12 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024

Multi-Uncertainty Aware Autonomous Cooperative Planning

Shiyao Zhang, He Li, Shengyu Zhang +3

Autonomous cooperative planning (ACP) is a promising technique to improve the efficiency and safety of multi-vehicle interactions for future intelligent transportation systems. How…

cs.AI2024

Siamese Multiple Attention Temporal Convolution Networks for Human Mobility Signature Identification

Zhipeng Zheng, Yuchen Jiang, Shiyao Zhang +1

The Human Mobility Signature Identification (HuMID) problem stands as a fundamental task within the realm of driving style representation, dedicated to discerning latent driving be…

cs.AI202412 cited

FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder

Yuchen Jiang, Ying Wu, Shiyao Zhang +1

The use of trajectory data with abundant spatial-temporal information is pivotal in Intelligent Transport Systems (ITS) and various traffic system tasks. Location-Based Services (L…

cs.LG2023

Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting

Adnan Zeb, Yongchao Ye, Shiyao Zhang +1

Traffic forecasting is a fundamental problem in intelligent transportation systems. Existing traffic predictors are limited by their expressive power to model the complex spatial-t…

cs.LG20232 cited

Traffic Prediction with Transfer Learning: A Mutual Information-based Approach

Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu +2

In modern traffic management, one of the most essential yet challenging tasks is accurately and timely predicting traffic. It has been well investigated and examined that deep lear…