Teng Li

Hierarchical and Multi-Group Data Sharing for Cloud-Assisted Industrial Internet of Things

2023 · IEEE Transactions on Services Computing

With the development of Industrial Internet of Things (IIoT) and 5G, massive data are easily collected and transmitted in cloud. Therefore, it is critical to guarantee the security of data sharing. In IIoT applications, the …

BlobCUT: A Contrastive Learning Method to Support Small Blob Detection in Medical Imaging

2023 · Bioengineering

Medical imaging-based biomarkers derived from small objects (e.g., cell nuclei) play a crucial role in medical applications. However, detecting and segmenting small objects (a.k.a. blobs) remains a challenging task. In this research, we propose a …

HeteroSample: Meta-Path Guided Sampling for Heterogeneous Graph Representation Learning

2024 · IEEE Internet of Things Journal

The rapid expansion of Internet of Things (IoT) has resulted in vast, heterogeneous graphs that capture complex interactions among devices, sensors, and systems. Efficient analysis of these graphs is critical for deriving insights in IoT …

RUPT-FL: Robust Two-Layered Privacy-Preserving Federated Learning Framework With Unlinkability for IoV

2024 · IEEE Transactions on Vehicular Technology

Privacy-preserving federated learning framework has been widely applied in the Internet of Vehicles (IoV) scenario, to enhance the privacy of local models and sensitive vehicle data. However, as increasing cyberattacks are launched against RSUs and …