Jiawei Shao

According to our database, Jiawei Shao authored at least 41 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features.

Zijian Li, Zehong Lin, Jiawei Shao, Yuyi Mao, Jun Zhang

IEEE Trans. Mob. Comput., November, 2024

Feature Matching Data Synthesis for Non-IID Federated Learning.

Zijian Li, Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang

IEEE Trans. Mob. Comput., October, 2024

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence.

Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief

IEEE Commun. Mag., October, 2024

Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design.

Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang

IEEE Trans. Wirel. Commun., June, 2024

Task-Oriented Communication for Edge Video Analytics.

Jiawei Shao, Xinjie Zhang, Jun Zhang

IEEE Trans. Wirel. Commun., May, 2024

Embodied Intelligence: Bionic Robot Controller Integrating Environment Perception, Autonomous Planning, and Motion Control.

Yahui Gan, Bo Zhang, Jiawei Shao, Zao Han, Ang Li, Xianzhong Dai

IEEE Robotics Autom. Lett., May, 2024

WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks.

Jingwen Tong, Jiawei Shao, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, Jun Zhang

CoRR, 2024

Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model.

Zhening Liu, Xinjie Zhang, Jiawei Shao, Zehong Lin, Jun Zhang

CoRR, 2024

Graph Neural Network Enhanced Retrieval for Question Answering of LLMs.

Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang

CoRR, 2024

WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence.

Jiawei Shao, Jingwen Tong, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, Jun Zhang

CoRR, 2024

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

Boyi Liu, Jingwen Tong, Yufan Zhuang, Jiawei Shao, Jun Zhang

CoRR, 2024

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

Hongru Li, Jiawei Shao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

CoRR, 2024

Content-aware Masked Image Modeling Transformer for Stereo Image Compression.

Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang

CoRR, 2024

2023

Defending ChatGPT against jailbreak attack via self-reminders.

Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu

Nat. Mac. Intell., December, 2023

Semi-Decentralized Federated Edge Learning With Data and Device Heterogeneity.

Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang

IEEE Trans. Netw. Serv. Manag., June, 2023

Microservice extraction using graph deep clustering based on dual view fusion.

Lifeng Qian, Jing Li, Xudong He, Rongbin Gu, Jiawei Shao, Yuqi Lu

Inf. Softw. Technol., June, 2023

Task-Oriented Communication for Multidevice Cooperative Edge Inference.

Jiawei Shao, Yuyi Mao, Jun Zhang

IEEE Trans. Wirel. Commun., 2023

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

Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Jun Zhang

CoRR, 2023

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

Jiawei Shao, Fangzhao Wu, Jun Zhang

CoRR, 2023

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

Xinjie Zhang, Jiawei Shao, Jun Zhang

CoRR, 2023

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

Xinjie Zhang, Jiawei Shao, Jun Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

LDMIC: Learning-based Distributed Multi-view Image Coding.

Xinjie Zhang, Jiawei Shao, Jun Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Autonomous Path Planning and Realization for Dual Robot Cooperation Based on ROS Framework.

Jiawei Shao, Yahui Gan, Xianzhong Dai

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework.

Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief

Proceedings of the IEEE Global Communications Conference, 2023

AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning.

Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang

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.

Jiawei Shao, Yuyi Mao, Jun Zhang

IEEE J. Sel. Areas Commun., 2022

Task-Oriented Communication for Edge Video Analytics.

Jiawei Shao, Xinjie Zhang, Jun Zhang

CoRR, 2022

Novel PM-Assisted Synchronous Reluctance Machines Using Asymmetrical Rotor Configuration.

Ying Xie, Jiawei Shao, Shoucong He, Bitian Ye, Fan Yang, Lijing Wang

IEEE Access, 2022

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

Ying Xie, Shoucong He, Jiawei Shao, Bitian Ye, Fan Yang, Lijing Wang

IEEE Access, 2022

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

Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang

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.

Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang

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.

Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang

Proceedings of the IEEE International Symposium on Information Theory, 2022

Federated Learning with GAN-Based Data Synthesis for Non-IID Clients.

Zijian Li, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients.

Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang

Proceedings of the IEEE International Conference on Communications, 2022

2021

Task-Oriented Communication for Multi-Device Cooperative Edge Inference.

Jiawei Shao, Yuyi Mao, Jun Zhang

CoRR, 2021

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

Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang

CoRR, 2021

Branchy-GNN: A Device-Edge Co-Inference Framework for Efficient Point Cloud Processing.

Jiawei Shao, Haowei Zhang, Yuyi Mao, Jun Zhang

Proceedings of the IEEE International Conference on Acoustics, 2021

Communication-Computation Efficient Device-Edge Co-Inference via AutoML.

Xinjie Zhang, Jiawei Shao, Yuyi Mao, Jun Zhang

Proceedings of the IEEE Global Communications Conference, 2021

2020

Communication-Computation Trade-off in Resource-Constrained Edge Inference.

Jiawei Shao, Jun Zhang

IEEE Commun. Mag., 2020

BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems.

Jiawei Shao, Jun Zhang

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2017

Engineering synthetic optogenetic networks for biomedical applications.

Meiyan Wang, Yuanhuan Yu, Jiawei Shao, Boon Chin Heng, Haifeng Ye

Quant. Biol., 2017