Jiawei Shao

Orcid: 0000-0001-8836-1430

According to our database1, Jiawei Shao authored at least 43 papers between 2017 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features.
IEEE Trans. Mob. Comput., November, 2024

Feature Matching Data Synthesis for Non-IID Federated Learning.
IEEE Trans. Mob. Comput., October, 2024

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence.
IEEE Commun. Mag., October, 2024

Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design.
IEEE Trans. Wirel. Commun., June, 2024

Task-Oriented Communication for Edge Video Analytics.
IEEE Trans. Wirel. Commun., May, 2024

Embodied Intelligence: Bionic Robot Controller Integrating Environment Perception, Autonomous Planning, and Motion Control.
IEEE Robotics Autom. Lett., May, 2024

EVA-Gaussian: 3D Gaussian-based Real-time Human Novel View Synthesis under Diverse Camera Settings.
CoRR, 2024

WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks.
CoRR, 2024

Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model.
CoRR, 2024

Graph Neural Network Enhanced Retrieval for Question Answering of LLMs.
CoRR, 2024

WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence.
CoRR, 2024

EdgeLoc: A Communication-Adaptive Parallel System for Real-Time Localization in Infrastructure-Assisted Autonomous Driving.
CoRR, 2024

Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck.
CoRR, 2024

Content-aware Masked Image Modeling Transformer for Stereo Image Compression.
CoRR, 2024

Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Defending ChatGPT against jailbreak attack via self-reminders.
Nat. Mac. Intell., December, 2023

Semi-Decentralized Federated Edge Learning With Data and Device Heterogeneity.
IEEE Trans. Netw. Serv. Manag., June, 2023

Microservice extraction using graph deep clustering based on dual view fusion.
Inf. Softw. Technol., June, 2023

Task-Oriented Communication for Multidevice Cooperative Edge Inference.
IEEE Trans. Wirel. Commun., 2023

A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency.
CoRR, 2023

Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher.
CoRR, 2023

Low-complexity Deep Video Compression with A Distributed Coding Architecture.
CoRR, 2023

Low-complexity Deep Video Compression with A Distributed Coding Architecture.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

LDMIC: Learning-based Distributed Multi-view Image Coding.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Autonomous Path Planning and Realization for Dual Robot Cooperation Based on ROS Framework.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework.
Proceedings of the IEEE Global Communications Conference, 2023

AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach.
IEEE J. Sel. Areas Commun., 2022

Task-Oriented Communication for Edge Video Analytics.
CoRR, 2022

Novel PM-Assisted Synchronous Reluctance Machines Using Asymmetrical Rotor Configuration.
IEEE Access, 2022

Design and Research of a Dual Rotor Consequent-Pole Vernier Motor With Halbach Array.
IEEE Access, 2022

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Stochastic Coded Federated Learning with Convergence and Privacy Guarantees.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Federated Learning with GAN-Based Data Synthesis for Non-IID Clients.
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Task-Oriented Communication for Multi-Device Cooperative Edge Inference.
CoRR, 2021

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data.
CoRR, 2021

Branchy-GNN: A Device-Edge Co-Inference Framework for Efficient Point Cloud Processing.
Proceedings of the IEEE International Conference on Acoustics, 2021

Communication-Computation Efficient Device-Edge Co-Inference via AutoML.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Communication-Computation Trade-off in Resource-Constrained Edge Inference.
IEEE Commun. Mag., 2020

BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2017
Engineering synthetic optogenetic networks for biomedical applications.
Quant. Biol., 2017


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