15 citations · 31 across the 8 of their papers we have counts for
8 papers
A Convexified Eulerian Framework for Scalable Coordination of Massive DER Populations
Ge Chen, Yiwei Qiu, Shiyao Zhang +3
This paper proposes a scalable coordination framework with aggregator-side privacy protection for storage-like distributed energy resources (DERs). The framework adopts a two-layer…
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…
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…
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…
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model
Yuanshao Zhu, Yongchao Ye, Shiyao Zhang +2
Pervasive integration of GPS-enabled devices and data acquisition technologies has led to an exponential increase in GPS trajectory data, fostering advancements in spatial-temporal…
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…
Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty
Zongze Li, Shuai Wang, Shiyao Zhang +4
Edge-assisted vehicle-to-everything (V2X) motion planning is an emerging paradigm to achieve safe and efficient autonomous driving, since it leverages the global position informati…
Efficient Rate-Splitting Multiple Access for the Internet of Vehicles: Federated Edge Learning and Latency Minimization
Shengyu Zhang, Shiyao Zhang, Weijie Yuan +2
Rate-Splitting Multiple Access (RSMA) has recently found favour in the multi-antenna-aided wireless downlink, as a benefit of relaxing the accuracy of Channel State Information at…