Engineering synthetic optogenetic networks for biomedical applications. - Meiyan Wang; Yuanhuan Yu; Jiawei Shao; Boon Chin Heng; Haifeng Ye (Quant. Biol., 2017)

BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems. - Jiawei Shao; Jun Zhang 004 (ICC Workshops, 2020)

Communication-Computation Trade-off in Resource-Constrained Edge Inference. - Jiawei Shao; Jun Zhang 004 (IEEE Commun. Mag., 2020)

Communication-Computation Efficient Device-Edge Co-Inference via AutoML. - Xinjie Zhang; Jiawei Shao; Yuyi Mao; Jun Zhang 004 (GLOBECOM, 2021)

Branchy-GNN: A Device-Edge Co-Inference Framework for Efficient Point Cloud Processing. - Jiawei Shao; Haowei Zhang; Yuyi Mao; Jun Zhang 004 (ICASSP, 2021)

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data. - Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Jun Zhang 004 (CoRR, 2021)

Task-Oriented Communication for Multi-Device Cooperative Edge Inference. - Jiawei Shao; Yuyi Mao; Jun Zhang 004 (CoRR, 2021)

Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients. - Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Jun Zhang 004 (ICC, 2022)

Federated Learning with GAN-Based Data Synthesis for Non-IID Clients. - Zijian Li 023; Jiawei Shao; Yuyi Mao; Jessie Hui Wang; Jun Zhang 004 (FL@IJCAI, 2022)

Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. - Yuchang Sun 001; Jiawei Shao; Songze Li; Yuyi Mao; Jun Zhang 004 (ISIT, 2022)

DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. - Jiawei Shao; Yuchang Sun 001; Songze Li; Jun Zhang 004 (NeurIPS, 2022)

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data. - Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Jessie Hui Wang; Jun Zhang 004 (WCNC, 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 099; Lijing Wang (IEEE Access, 2022)

Novel PM-Assisted Synchronous Reluctance Machines Using Asymmetrical Rotor Configuration. - Ying Xie; Jiawei Shao; Shoucong He; Bitian Ye; Fan Yang 099; Lijing Wang (IEEE Access, 2022)

Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach. - Jiawei Shao; Yuyi Mao; Jun Zhang 004 (IEEE J. Sel. Areas Commun., 2022)

AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning. - Xuefeng Wang; Xinran Li; Jiawei Shao; Jun Zhang 004 (AAMAS, 2023)

Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework. - Hongru Li; Wentao Yu; Hengtao He; Jiawei Shao; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (GLOBECOM, 2023)

Autonomous Path Planning and Realization for Dual Robot Cooperation Based on ROS Framework. - Jiawei Shao; Yahui Gan; Xianzhong Dai (ICARM, 2023)

LDMIC: Learning-based Distributed Multi-view Image Coding. - Xinjie Zhang; Jiawei Shao; Jun Zhang 004 (ICLR, 2023)

Low-complexity Deep Video Compression with A Distributed Coding Architecture. - Xinjie Zhang; Jiawei Shao; Jun Zhang 004 (ICME, 2023)

Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher. - Jiawei Shao; Fangzhao Wu; Jun Zhang 004 (CoRR, 2023)

A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency. - Jiawei Shao; Zijian Li 023; Wenqiang Sun; Tailin Zhou; Yuchang Sun 001; Lumin Liu; Zehong Lin; Jun Zhang 004 (CoRR, 2023)

Task-Oriented Communication for Multidevice Cooperative Edge Inference. - Jiawei Shao; Yuyi Mao; Jun Zhang 004 (IEEE Trans. Wirel. Commun., 2023)

Microservice extraction using graph deep clustering based on dual view fusion. - Lifeng Qian; Jing Li 077; Xudong He; Rongbin Gu; Jiawei Shao; Yuqi Lu (Inf. Softw. Technol., 2023)

Semi-Decentralized Federated Edge Learning With Data and Device Heterogeneity. - Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Jessie Hui Wang; Jun Zhang 004 (IEEE Trans. Netw. Serv. Manag., 2023)

Defending ChatGPT against jailbreak attack via self-reminders. - Yueqi Xie; Jingwei Yi; Jiawei Shao; Justin Curl; Lingjuan Lyu; Qifeng Chen; Xing Xie 001; Fangzhao Wu (Nat. Mac. Intell., 2023)

Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model. - Zhening Liu 001; Xinjie Zhang; Jiawei Shao; Zehong Lin; Jun Zhang 004 (ECCV (8), 2024)

Task-Oriented Communication for Vehicle-to-Infrastructure Cooperative Perception. - Jiawei Shao; Teng Li; Jun Zhang 004 (MLSP, 2024)

Content-aware Masked Image Modeling Transformer for Stereo Image Compression. - Xinjie Zhang; Shenyuan Gao; Zhening Liu 001; Jiawei Shao; Xingtong Ge; Dailan He; Tongda Xu; Yan Wang; Jun Zhang 004 (CoRR, 2024)

EdgeLoc: A Communication-Adaptive Parallel System for Real-Time Localization in Infrastructure-Assisted Autonomous Driving. - Boyi Liu 003; Jingwen Tong; Yufan Zhuang; Jiawei Shao; Jun Zhang 004 (CoRR, 2024)

Graph Neural Network Enhanced Retrieval for Question Answering of LLMs. - Zijian Li 023; Qingyan Guo; Jiawei Shao; Lei Song 001; Jiang Bian 002; Jun Zhang 004; Rui Wang 028 (CoRR, 2024)

WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks. - Jingwen Tong; Jiawei Shao; Qiong Wu; Wei Guo; Zijian Li 023; Zehong Lin; Jun Zhang 004 (CoRR, 2024)

EVA-Gaussian: 3D Gaussian-based Real-time Human Novel View Synthesis under Diverse Camera Settings. - Yingdong Hu; Zhening Liu 001; Jiawei Shao; Zehong Lin; Jun Zhang 004 (CoRR, 2024)

AI Flow at the Network Edge. - Jiawei Shao; Xuelong Li (CoRR, 2024)

Dynamics-Aware Gaussian Splatting Streaming Towards Fast On-the-Fly Training for 4D Reconstruction. - Zhening Liu 001; Yingdong Hu; Xinjie Zhang; Jiawei Shao; Zehong Lin; Jun Zhang 004 (CoRR, 2024)

WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence. - Jiawei Shao; Jingwen Tong; Qiong Wu; Wei Guo; Zijian Li 023; Zehong Lin; Jun Zhang 004 (J. Commun. Inf. Networks, 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., 2024)

Task-Oriented Communication for Edge Video Analytics. - Jiawei Shao; Xinjie Zhang; Jun Zhang 004 (IEEE Trans. Wirel. Commun., 2024)

Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. - Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Songze Li; Jun Zhang 004 (IEEE Trans. Wirel. Commun., 2024)

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. - Yifei Shen; Jiawei Shao; Xinjie Zhang; Zehong Lin; Hao Pan; Dongsheng Li 002; Jun Zhang 004; Khaled B. Letaief (IEEE Commun. Mag., 2024)

Feature Matching Data Synthesis for Non-IID Federated Learning. - Zijian Li 023; Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Jessie Hui Wang; Jun Zhang 004 (IEEE Trans. Mob. Comput., 2024)

FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features. - Zijian Li 023; Zehong Lin; Jiawei Shao; Yuyi Mao; Jun Zhang 004 (IEEE Trans. Mob. Comput., 2024)

CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression. - Xinjie Zhang; Shenyuan Gao; Zhening Liu 001; Jiawei Shao; Xingtong Ge; Dailan He; Tongda Xu; Yan Wang; Jun Zhang 004 (AAAI, 2025)

Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models. - Zijian Li 023; Qingyan Guo; Jiawei Shao; Lei Song 001; Jiang Bian 002; Jun Zhang 004; Rui Wang 028 (NAACL (Long Papers), 2025)

The planar Turán number of double star S2,4. - Xin Xu; Jiawei Shao (Discret. Math., 2025)

KV-Edit: Training-Free Image Editing for Precise Background Preservation. - Tianrui Zhu; Shiyi Zhang; Jiawei Shao; Yansong Tang (CoRR, 2025)

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. - Wenke Huang; Jian Liang 001; Xianda Guo; Yiyang Fang; Guancheng Wan; Xuankun Rong; Chi Wen; Zekun Shi; Qingyun Li; Didi Zhu; Yanbiao Ma; Ke Liang; et al. (CoRR, 2025)

Privacy-Enhancing Paradigms within Federated Multi-Agent Systems. - Zitong Shi; Guancheng Wan; Wenke Huang; Guibin Zhang; Jiawei Shao; Mang Ye; Carl Yang 001 (CoRR, 2025)

VideoScan: Enabling Efficient Streaming Video Understanding via Frame-level Semantic Carriers. - Ruanjun Li; Yuedong Tan; Yuanming Shi; Jiawei Shao (CoRR, 2025)

Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference. - Cheng Yuan; Zhening Liu 001; Jiashu Lv; Jiawei Shao; Yufei Jiang; Jun Zhang 004; Xuelong Li (CoRR, 2025)

Mutual Information-Empowered Task-Oriented Communication: Principles, Applications and Challenges. - Hongru Li; Songjie Xie; Jiawei Shao; Zixin Wang; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (CoRR, 2025)

AI Flow: Perspectives, Scenarios, and Approaches. - Hongjun An; Sida Huang; Siqi Huang; Ruanjun Li; Yuanzhi Liang; Jiawei Shao; Zihan Wang; Cheng Yuan; Chi Zhang 012; Hongyuan Zhang 001; Wenhao Zhuang; Xuelong Li 001 (CoRR, 2025)

What You Have is What You Track: Adaptive and Robust Multimodal Tracking. - Yuedong Tan; Jiawei Shao; Eduard Zamfir; Ruanjun Li; Zhaochong An; Chao Ma 004; Danda Pani Paudel; Luc Van Gool; Radu Timofte; Zongwei Wu (CoRR, 2025)

Conditional Video Generation for High-Efficiency Video Compression. - Fangqiu Yi; Jingyu Xu 002; Jiawei Shao; Chi Zhang 012; Xuelong Li 001 (CoRR, 2025)

Tackling Distribution Shifts in Task-Oriented Communication With Information Bottleneck. - Hongru Li; Jiawei Shao; Hengtao He; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (IEEE J. Sel. Areas Commun., 2025)