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Jiawei Shao
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2020 – today
- 2025
- [c17]Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang:
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression. AAAI 2025: 10239-10247 - [c16]Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang:
Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models. NAACL (Long Papers) 2025: 6612-6633 - [i39]Tianrui Zhu, Shiyi Zhang, Jiawei Shao, Yansong Tang:
KV-Edit: Training-Free Image Editing for Precise Background Preservation. CoRR abs/2502.17363 (2025) - [i38]Wenke Huang, Jian Liang, Xianda Guo, Yiyang Fang, Guancheng Wan, Xuankun Rong, Chi Wen, Zekun Shi, Qingyun Li, Didi Zhu, Yanbiao Ma, Ke Liang, Bin Yang, He Li, Jiawei Shao, Mang Ye, Bo Du:
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. CoRR abs/2503.04543 (2025) - [i37]Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, Jiawei Shao, Mang Ye, Carl Yang:
Privacy-Enhancing Paradigms within Federated Multi-Agent Systems. CoRR abs/2503.08175 (2025) - [i36]Ruanjun Li, Yuedong Tan, Yuanming Shi, Jiawei Shao:
VideoScan: Enabling Efficient Streaming Video Understanding via Frame-level Semantic Carriers. CoRR abs/2503.09387 (2025) - [i35]Cheng Yuan, Zhening Liu, Jiashu Lv, Jiawei Shao, Yufei Jiang, Jun Zhang, Xuelong Li:
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference. CoRR abs/2503.12926 (2025) - [i34]Hongru Li, Songjie Xie, Jiawei Shao, Zixin Wang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Mutual Information-Empowered Task-Oriented Communication: Principles, Applications and Challenges. CoRR abs/2503.20195 (2025) - 2024
- [j16]Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief
:
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. IEEE Commun. Mag. 62(10): 140-146 (2024) - [j15]Jiawei Shao, Jingwen Tong, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, Jun Zhang:
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence. J. Commun. Inf. Networks 9(2): 99-112 (2024) - [j14]Yahui Gan
Embodied Intelligence: Bionic Robot Controller Integrating Environment Perception, Autonomous Planning, and Motion Control. IEEE Robotics Autom. Lett. 9(5): 4559-4566 (2024) - [j13]Zijian Li
Feature Matching Data Synthesis for Non-IID Federated Learning. IEEE Trans. Mob. Comput. 23(10): 9352-9367 (2024) - [j12]Zijian Li
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features. IEEE Trans. Mob. Comput. 23(11): 10509-10522 (2024) - [j11]Jiawei Shao
Task-Oriented Communication for Edge Video Analytics. IEEE Trans. Wirel. Commun. 23(5): 4141-4154 (2024) - [j10]Yuchang Sun
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. IEEE Trans. Wirel. Commun. 23(6): 6623-6638 (2024) - [c15]Zhening Liu
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model. ECCV (8) 2024: 480-496 - [c14]Jiawei Shao, Teng Li, Jun Zhang:
Task-Oriented Communication for Vehicle-to-Infrastructure Cooperative Perception. MLSP 2024: 1-6 - [i33]Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang:
Content-aware Masked Image Modeling Transformer for Stereo Image Compression. CoRR abs/2403.08505 (2024) - [i32]Hongru Li, Jiawei Shao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck. CoRR abs/2405.09514 (2024) - [i31]Boyi Liu, Jingwen Tong, Yufan Zhuang, Jiawei Shao, Jun Zhang:
EdgeLoc: A Communication-Adaptive Parallel System for Real-Time Localization in Infrastructure-Assisted Autonomous Driving. CoRR abs/2405.12120 (2024) - [i30]Jiawei Shao, Jingwen Tong, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, Jun Zhang:
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence. CoRR abs/2405.17053 (2024) - [i29]Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang:
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs. CoRR abs/2406.06572 (2024) - [i28]Zhening Liu, Xinjie Zhang, Jiawei Shao, Zehong Lin, Jun Zhang:
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model. CoRR abs/2407.10632 (2024) - [i27]Jingwen Tong, Jiawei Shao, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, Jun Zhang:
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks. CoRR abs/2409.07964 (2024) - [i26]Yingdong Hu, Zhening Liu, Jiawei Shao, Zehong Lin, Jun Zhang:
EVA-Gaussian: 3D Gaussian-based Real-time Human Novel View Synthesis under Diverse Camera Settings. CoRR abs/2410.01425 (2024) - [i25]Jiawei Shao, Xuelong Li:
AI Flow at the Network Edge. CoRR abs/2411.12469 (2024) - [i24]Zhening Liu, Yingdong Hu, Xinjie Zhang, Jiawei Shao, Zehong Lin, Jun Zhang:
Dynamics-Aware Gaussian Splatting Streaming Towards Fast On-the-Fly Training for 4D Reconstruction. CoRR abs/2411.14847 (2024) - 2023
- [j9]Lifeng Qian
Microservice extraction using graph deep clustering based on dual view fusion. Inf. Softw. Technol. 158: 107171 (2023) - [j8]Yueqi Xie
Defending ChatGPT against jailbreak attack via self-reminders. Nat. Mac. Intell. 5(12): 1486-1496 (2023) - [j7]Yuchang Sun
Semi-Decentralized Federated Edge Learning With Data and Device Heterogeneity. IEEE Trans. Netw. Serv. Manag. 20(2): 1487-1501 (2023) - [j6]Jiawei Shao
Task-Oriented Communication for Multidevice Cooperative Edge Inference. IEEE Trans. Wirel. Commun. 22(1): 73-87 (2023) - [c13]Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang:
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning. AAMAS 2023: 427-435 - [c12]Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief
Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework. GLOBECOM 2023: 3136-3141 - [c11]Jiawei Shao, Yahui Gan, Xianzhong Dai:
Autonomous Path Planning and Realization for Dual Robot Cooperation Based on ROS Framework. ICARM 2023: 1065-1070 - [c10]Xinjie Zhang, Jiawei Shao, Jun Zhang:
LDMIC: Learning-based Distributed Multi-view Image Coding. ICLR 2023 - [c9]Xinjie Zhang, Jiawei Shao
Low-complexity Deep Video Compression with A Distributed Coding Architecture. ICME 2023: 2537-2542 - [i23]Xinjie Zhang, Jiawei Shao, Jun Zhang:
LDMIC: Learning-based Distributed Multi-view Image Coding. CoRR abs/2301.09799 (2023) - [i22]Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang:
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning. CoRR abs/2302.12515 (2023) - [i21]Xinjie Zhang, Jiawei Shao, Jun Zhang:
Low-complexity Deep Video Compression with A Distributed Coding Architecture. CoRR abs/2303.11599 (2023) - [i20]Jiawei Shao, Fangzhao Wu, Jun Zhang:
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher. CoRR abs/2304.01731 (2023) - [i19]Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief
Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework. CoRR abs/2305.12423 (2023) - [i18]Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. CoRR abs/2307.02779 (2023) - [i17]Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Jun Zhang:
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency. CoRR abs/2307.10655 (2023) - [i16]Zijian Li, Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang:
Feature Matching Data Synthesis for Non-IID Federated Learning. CoRR abs/2308.04761 (2023) - [i15]Zijian Li, Zehong Lin, Jiawei Shao, Yuyi Mao, Jun Zhang:
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features. CoRR abs/2308.15786 (2023) - 2022
- [j5]Ying Xie
Design and Research of a Dual Rotor Consequent-Pole Vernier Motor With Halbach Array. IEEE Access 10: 53918-53927 (2022) - [j4]Ying Xie
Novel PM-Assisted Synchronous Reluctance Machines Using Asymmetrical Rotor Configuration. IEEE Access 10: 79564-79573 (2022) - [j3]Jiawei Shao
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach. IEEE J. Sel. Areas Commun. 40(1): 197-211 (2022) - [c8]Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang:
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients. ICC 2022: 5196-5201 - [c7]Zijian Li
Federated Learning with GAN-Based Data Synthesis for Non-IID Clients. FL@IJCAI 2022: 17-32 - [c6]Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang:
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. ISIT 2022: 2028-2033 - [c5]Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang:
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. NeurIPS 2022 - [c4]Yuchang Sun, Jiawei Shao
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data. WCNC 2022: 1898-1903 - [i14]Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang:
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. CoRR abs/2201.10092 (2022) - [i13]Zijian Li, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang:
Federated Learning with GAN-based Data Synthesis for Non-IID Clients. CoRR abs/2206.05507 (2022) - [i12]Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang:
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. CoRR abs/2210.02680 (2022) - [i11]Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang:
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. CoRR abs/2211.04132 (2022) - [i10]Jiawei Shao, Xinjie Zhang, Jun Zhang:
Task-Oriented Communication for Edge Video Analytics. CoRR abs/2211.14049 (2022) - 2021
- [c3]Xinjie Zhang
Communication-Computation Efficient Device-Edge Co-Inference via AutoML. GLOBECOM 2021: 1-6 - [c2]Jiawei Shao
Branchy-GNN: A Device-Edge Co-Inference Framework for Efficient Point Cloud Processing. ICASSP 2021: 8488-8492 - [i9]Jiawei Shao, Yuyi Mao, Jun Zhang:
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach. CoRR abs/2102.04170 (2021) - [i8]Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang:
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data. CoRR abs/2104.12678 (2021) - [i7]Xinjie Zhang, Jiawei Shao, Yuyi Mao, Jun Zhang:
Communication-Computation Efficient Device-Edge Co-Inference via AutoML. CoRR abs/2108.13009 (2021) - [i6]Jiawei Shao, Yuyi Mao, Jun Zhang:
Task-Oriented Communication for Multi-Device Cooperative Edge Inference. CoRR abs/2109.00172 (2021) - [i5]Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang:
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients. CoRR abs/2112.04737 (2021) - [i4]Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang:
Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity. CoRR abs/2112.10313 (2021) - 2020
- [j2]Jiawei Shao
Communication-Computation Trade-off in Resource-Constrained Edge Inference. IEEE Commun. Mag. 58(12): 20-26 (2020) - [c1]Jiawei Shao
BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems. ICC Workshops 2020: 1-6 - [i3]Jiawei Shao, Jun Zhang:
Communication-Computation Trade-Off in Resource-Constrained Edge Inference. CoRR abs/2006.02166 (2020) - [i2]Jiawei Shao, Haowei Zhang, Yuyi Mao, Jun Zhang:
Branchy-GNN: a Device-Edge Co-Inference Framework for Efficient Point Cloud Processing. CoRR abs/2011.02422 (2020)
2010 – 2019
- 2019
- [i1]Jiawei Shao, Jun Zhang:
BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems. CoRR abs/1910.14315 (2019) - 2017
- [j1]Meiyan Wang, Yuanhuan Yu, Jiawei Shao, Boon Chin Heng
Engineering synthetic optogenetic networks for biomedical applications. Quant. Biol. 5(2): 111-123 (2017)
Coauthor Index
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