Shiyao Zhang

Orcid: 0000-0002-0004-1801

Affiliations:
  • Great Bay University, Dongguan, China


According to our database1, Shiyao Zhang authored at least 42 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy.
IEEE Robotics Autom. Lett., December, 2025

CLEAR: Spatial-Temporal Traffic Data Representation Learning for Traffic Prediction.
IEEE Trans. Knowl. Data Eng., April, 2025

Efficient Federated Connected Electric Vehicle Scheduling System: A Noncooperative Online Incentive Approach.
IEEE Trans. Intell. Transp. Syst., March, 2025

Map-Informed Trajectory Recovery With Adaptive Spatio-Temporal Autoencoder.
IEEE Trans. Intell. Transp. Syst., January, 2025

Traffic forecasting with meta attentive graph convolutional recurrent network.
Expert Syst. Appl., 2025

Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Transformer-Empowered Predictive Beamforming for Rate-Splitting Multiple Access in Non-Terrestrial Networks.
IEEE Trans. Wirel. Commun., December, 2024

Low-Latency NOMA-Enabled Vehicle Platoon Resource Allocation Scheme: A Deep Deterministic Policy Gradient-Based Approach.
IEEE Commun. Lett., November, 2024

Transformer-Based Channel Prediction for Rate-Splitting Multiple Access-Enabled Vehicle-to-Everything Communication.
IEEE Trans. Wirel. Commun., October, 2024

GT-TTE: Modeling Trajectories as Graphs for Travel Time Estimation.
IEEE Internet Things J., October, 2024

Urban Internet of Electric Vehicle Parking System for Vehicle-to-Grid Scheduling: Formulation and Distributed Algorithm.
IEEE Trans. Veh. Technol., January, 2024

A generalized feature projection scheme for multi-step traffic forecasting.
Expert Syst. Appl., 2024

Achieving Resolution-Agnostic DNN-based Image Watermarking:A Novel Perspective of Implicit Neural Representation.
CoRR, 2024

Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Achieving Resolution-Agnostic DNN-based Image Watermarking: A Novel Perspective of Implicit Neural Representation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Siamese Multiple Attention Temporal Convolution Networks for Human Mobility Signature Identification.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Multi-Uncertainty Aware Autonomous Cooperative Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Digital Twins in Near-Field ISAC Systems: A Deep Learning-based Sensing Approach.
Proceedings of the IEEE Globecom Workshops 2024, 2024

2023
SAM: Query-efficient Adversarial Attacks against Graph Neural Networks.
ACM Trans. Priv. Secur., November, 2023

Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach.
IEEE Trans. Intell. Transp. Syst., August, 2023

Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty.
IEEE Trans. Veh. Technol., July, 2023

Noncooperative and Cooperative Urban Intelligent Systems: Joint Logistic and Charging Incentive Mechanisms.
IEEE Internet Things J., July, 2023

Efficient Rate-Splitting Multiple Access for the Internet of Vehicles: Federated Edge Learning and Latency Minimization.
IEEE J. Sel. Areas Commun., May, 2023

Traffic Prediction With Missing Data: A Multi-Task Learning Approach.
IEEE Trans. Intell. Transp. Syst., April, 2023

Rate-Splitting Multiple Access-Based Satellite-Vehicular Communication System: A Noncooperative Game Theoretical Approach.
IEEE Open J. Commun. Soc., 2023

Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting.
CoRR, 2023

FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data-Driven Methods for Travel Time Estimation: A Survey.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
A Smart Cross-System Framework for Joint Allocation and Scheduling With Vehicle-to-Grid Regulation Service.
IEEE Trans. Veh. Technol., 2022

Autonomous Vehicle Intelligent System: Joint Ride-Sharing and Parcel Delivery Strategy.
IEEE Trans. Intell. Transp. Syst., 2022

Joint Optimal Power Flow Routing and Vehicle-to-Grid Scheduling: Theory and Algorithms.
IEEE Trans. Intell. Transp. Syst., 2022

Collision Avoidance Predictive Motion Planning Based on Integrated Perception and V2V Communication.
IEEE Trans. Intell. Transp. Syst., 2022

Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs.
IEEE Trans. Intell. Transp. Syst., 2022

Long-Term Origin-Destination Demand Prediction With Graph Deep Learning.
IEEE Trans. Big Data, 2022

Electric Vehicle Dynamic Wireless Charging System: Optimal Placement and Vehicle-to-Grid Scheduling.
IEEE Internet Things J., 2022

Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Energy-efficient Federated Edge Learning for Internet of Vehicles via Rate-Splitting Multiple Access.
Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

2021
Origin-Destination Matrix Prediction via Hexagon-based Generated Graph.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Transfer Learning in Traffic Prediction with Graph Neural Networks.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Reconstruction of Missing Trajectory Data: A Deep Learning Approach.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020


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