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- research-articleSeptember 2024
ISAC-Aided UAV Swarms: From Networked Perception to Capability Evolution
IEEE Communications Magazine (COMAG), Volume 62, Issue 9Pages 60–66https://doi.org/10.1109/MCOM.001.2300652With the advancement of technology, intelligent unmanned aerial vehicle swarms (UAV-S) are playing an increasingly significant role across various industries, and sensing is one of their key capabilities that enable UAV-S to operate more effectively in ...
- research-articleAugust 2024
Leveraging Blockchain Based Federated Learning for Trustworthy 6G IoMT Image Analysis
IEEE Wireless Communications (IEEEWIRCOM), Volume 31, Issue 4Pages 192–198https://doi.org/10.1109/MWC.013.2300518Remote healthcare has been an important application of 6G and is increasingly attracting attention. In the field of medical image analysis, federated learning (FL) is widely considered for medical data collected by Internet of medical things (loMT) ...
- research-articleJuly 2024
Unsupervised twitter social bot detection using deep contrastive graph clustering
AbstractThe emergence of malicious Twitter social bots poses a considerable threat to the security of social networks, and the detection of evolving social bots has become challenging. State-of-the-art detection methods are usually supervised, but the ...
- research-articleFebruary 2024
MDVT: A Multi-modal Fake News Detection Framework based on Vision Transformer
MLNLP '23: Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language ProcessingPages 121–125https://doi.org/10.1145/3639479.3639505The growth of social media in recent years has contributed to the spread of fake news on the Internet. Since multimodal contents such as pictures have a huge impact on the spread of news in social media, researchers are increasingly focusing on the ...
- ArticleDecember 2023
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- research-articleApril 2024
Security authentication protocol for Industrial Internet of Things
ICCNS '23: Proceedings of the 2023 13th International Conference on Communication and Network SecurityPages 234–240https://doi.org/10.1145/3638782.3638818Because of the problem that the current industrial Internet of Things authentication scheme mainly uses the traditional identity authentication scheme, it is difficult to apply to the secure interaction of cross-domain terminals in the Industrial ...
- research-articleNovember 2023
A Security Evaluation Framework for Intelligent Connected Vehicles Based on Attack Chains
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 38, Issue 2Pages 148–155https://doi.org/10.1109/MNET.2023.3333545With the rapid development of intelligent connected vehicles (ICVs), their intelligent, remote, and high-speed mobility characteristics have led to an expansion of their attack surface, and thus an increase in security requirements. Consequently, security ...
- research-articleOctober 2023
A Coordination Optimization for Train Operation and Energy Infrastructure Control in a Metro System
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 25, Issue 3Pages 2656–2668https://doi.org/10.1109/TITS.2023.3318981An advanced metro system becomes imperative towards efficient and sustainable operations with the rapid growth of urban construction. As the essential factors to implement transport sustainability, a referred energy-efficient trajectory and an energy-...
- research-articleOctober 2023
Adaptive joint placement of edge intelligence services in mobile edge computing
AbstractMobile edge computing is an energy-efficient paradigm which has great support for resource-limited user devices performing compute-intensive programs and applications. However, limited edge resources, mobility of user equipment, growth of service ...
- research-articleOctober 2023
Decentralized Communication-assisted Sensing based on Federated Learning Framework for IIoT
ISACom '23: Proceedings of the 3rd ACM MobiCom Workshop on Integrated Sensing and Communications SystemsPages 37–42https://doi.org/10.1145/3615984.3616507In Industry 4.0, with the increasing scale of data generated in IIoT, it is necessary for federated learning (FL) algorithms to process and analyze these data in real time, thereby quickly generating high-quality models for edge computing/intelligence. ...
- research-articleSeptember 2023
Smart contracts vulnerability detection model based on adversarial multi-task learning
Journal of Information Security and Applications (JISA), Volume 77, Issue Chttps://doi.org/10.1016/j.jisa.2023.103555AbstractVulnerability detection is important for smart contracts because of their immutable and irreversible features. In this work, a new detection method based on adversarial multi-task learning is proposed to improve the accuracy of ...
- research-articleMay 2023
Reinforcement Learning-Based Particle Swarm Optimization for End-to-End Traffic Scheduling in TSN-5G Networks
IEEE/ACM Transactions on Networking (TON), Volume 31, Issue 6Pages 3254–3268https://doi.org/10.1109/TNET.2023.3276363With the rapid development of the Industrial Internet of Things (IIoT), massive IIoT devices connect to industrial networks via wired and wireless. Furthermore, industrial networks pose new requirements on communications, such as strict latency boundaries,...
- research-articleMarch 2023
AI-SPACE: A Cloud-Edge Aggregated Artificial Intelligent Architecture for Tiansuan Constellation-Assisted Space-Terrestrial Integrated Networks
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 37, Issue 2Pages 22–28https://doi.org/10.1109/MNET.003.2200401Space-Terrestrial Integrated Networks (STINs) and ubiquitous artificial intelligence are considered as important infrastructures of 6G networks. Due to the long transmission distance and high moving speed of on-orbit satellites, STINs face the challenges ...
- research-articleMarch 2023
A survey on cross-media search based on user intention understanding in social networks
Information Fusion (INFU), Volume 91, Issue CPages 566–581https://doi.org/10.1016/j.inffus.2022.11.017Highlights- Summarize the relevant theories and research by the perspective of the whole process of the research and implementation.
With the increasing popularity of online social networks, more and more people are posting information, updating their statuses, and searching for topics there. Massive cross-media big data has been gathered by online social networks, ...
- research-articleMarch 2023
Twist-Net: A multi-modality transfer learning network with the hybrid bilateral encoder for hypopharyngeal cancer segmentation
- Shuo Zhang,
- Yang Miao,
- Jun Chen,
- Xiwei Zhang,
- Lei Han,
- Dongsheng Ran,
- Zehao Huang,
- Ning Pei,
- Haibin Liu,
- Changming An
Computers in Biology and Medicine (CBIM), Volume 154, Issue Chttps://doi.org/10.1016/j.compbiomed.2023.106555AbstractHypopharyngeal cancer (HPC) is a rare disease. Therefore, it is a challenge to automatically segment HPC tumors and metastatic lymph nodes (HPC risk areas) from medical images with the small-scale dataset. Combining low-level details ...
Highlights- A hybrid network with multi-modality inputs.
- Fusing high-level semantic and low-...
- research-articleFebruary 2023
A trusted routing mechanism for multi-attribute chain energy optimization for Industrial Internet of Things
Neural Computing and Applications (NCAA), Volume 35, Issue 29Pages 21349–21359https://doi.org/10.1007/s00521-023-08215-7AbstractWith the improvement of network transmission level and hardware storage and computing capacity, the Internet of Things (IoT) has been rapidly developed, and its application has attracted extensive attention. As an innovative application of ...
- research-articleJanuary 2023
FedSup: A communication-efficient federated learning fatigue driving behaviors supervision approach
Future Generation Computer Systems (FGCS), Volume 138, Issue CPages 52–60https://doi.org/10.1016/j.future.2022.08.009AbstractWith the proliferation of smart devices and the Internet of Vehicles (IoV) technologies, intelligent fatigue detection has become one of the most-used methods in our daily driving. Data sharing among vehicles can be used to optimize fatigue ...
Highlights- A three-layer framework FedSup by using federated learning is proposed to optimize the fatigue detection model while preserving data privacy.
- We design the BCNN to select and upload uncertainty images by analyzing the impact of ...
- research-articleDecember 2022
ATG spectrum analysis and interference mitigation for intelligent UAV IoT
EURASIP Journal on Wireless Communications and Networking (JWCN), Volume 2022, Issue 1https://doi.org/10.1186/s13638-022-02197-1AbstractAs UAV Internet of things applications continue to grow, so does interest in the development of air-to-ground (ATG) systems, which can effectively expand communication system coverage. To maximize utilization of frequency resources, the ATG system ...
- ArticleNovember 2022
FedGAN: A Federated Semi-supervised Learning from Non-IID Data
Wireless Algorithms, Systems, and ApplicationsPages 181–192https://doi.org/10.1007/978-3-031-19214-2_15AbstractFederated Learning (FL) lately has shown much promise in improving sharing model and preserving data privacy. However, these existing methods are only of limited utility in the Internet of Things (IoT) scenarios, as they either heavily depend on ...
- research-articleNovember 2022
An incremental algorithm for concept lattice based on structural similarity index
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 26, Issue 21Pages 11409–11423https://doi.org/10.1007/s00500-022-07321-3AbstractAs an effective tool for data analysis, formal concept analysis (FCA) is widely used in software engineering and machine learning. The construction of concept lattice is a key step of the FCA. How to effectively to update the concept lattice is ...