Shiyin Li

Safe TD3 for Personalized Spatiotemporal Trajectory Privacy Protection

Minghui Min, Minghui Dai, Jun Ye, Shiyin Li et autres

With the widespread adoption of location-based services (LBS), user-generated trajectory data shows strong spatiotemporal correlation, rendering it highly vulnerable to inference attacks that expose sensitive information. In particular, once semantic locations like “hospital” and “bank” are identified, the risk of trajectory leakage …

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3-D Spatial Beam Automatic Scanning of Planar Frequency Diverse Array

Joan Lu, Mengdi Zhang, Shiyin Li

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Aerial IRS Deployment-Aided Secure Computation Offloading Against DISCO Jamming Attacks

Minghui Min, Peng Peng Zhang, Jiayang Xiao, Ruixin Yang et autres

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Multi-path Routing for Space-Air-Ground Integrated Networks: Trading off Energy Efficiency against Mission Utility

Lijun He, Yutong Li, Ziye Jia, Shiyin Li et autres

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Segmentation and analysis of OCTA images of coronary heart disease patients based on a multi-dimensional collaborative feature fusion network

Xiaoyu Zhu, Shiyin Li, Huiquan Bi, Tao Liu et autres

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Robust Power Allocation for UAV-Aided ISAC Systems With Uncertain Location Sensing Errors

Ruixin Yang, Hang Li, Youlong Wu, Shiyin Li

Integrated sensing and communication (ISAC) enables simultaneous sensing and data transmission with the assistance of unmanned aerial vehicles (UAVs) in emergency disaster relief and inspects scenarios. However, the impact of sensing uncertainty on communication performance has not been systematically investigated. In this …

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Challenges and strategies in clinical applications of CAR-T therapy for autoimmune diseases

Xiaomei Chen, Kaifan Liu, Bowen Liu, Shiyin Li et autres

Chimeric antigen receptor (CAR) T-cell therapy has demonstrated substantial efficacy against various hematological malignancies. The remarkable success of CAR-T cell therapy in targeting B-cell malignancies has generated significant interest in its potential application for treating autoimmune diseases (ADs). By engineering T cells …

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Road Network-Aware Personalized Trajectory Protection with Differential Privacy under Spatiotemporal Correlations

Minghui Min, Jiahui Liu, Mingge Cao, Shiyin Li et autres

Location-Based Services (LBSs) offer significant convenience to mobile users but pose significant privacy risks, as attackers can infer sensitive personal information through spatiotemporal correlations in user trajectories. Since users' sensitivity to location data varies based on factors such as stay duration, access …

Personalized Location Privacy-Aware Task Offloading: A Dual-Agent DRL Approach

Minghui Min, Peng Peng Zhang, Wenmin Kuang, Hongliang Zhang et autres

Multi-access Edge Computing (MEC) enables users to handle resource-intensive and latency-sensitive tasks. However, the offloading behaviors, which are closely correlated with wireless channel conditions, can inadvertently reveal users' location information to untrustworthy MEC servers. Existing location privacy-aware task offloading (LPTO) mechanisms have …

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Periodic Sparsity-Enhanced Channel Estimation Method via Improved BSBL for Ultrasonic Through-Metal Communication

Shengqiang Shen, Hongmiao Wang, Yifan Zheng, Kai Shi et autres

Ultrasonic through-metal communication is critical for many applications in industrial IoT (IIoT) environments but suffers from frequency-selective fading, requiring orthogonal frequency-division multiplexing (OFDM). Accurate channel estimation with minimal pilot overhead is essential for optimizing OFDM performance. Existing methods for estimating ultrasonic through-metal …

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A Robust Sitting Posture Recognition System Using Acoustic Signals

Huiquan Bi, Tao Liu, Yanjiao Chen, Zhaolin Lu et autres

With increasing computer-based work burden, prolonged poor sitting posture can result in health issues such as scoliosis. However, current sitting posture recognition systems often require the purchase of additional hardware. The camera-based system can compromise user privacy and be affected by varying …

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Comparative Performance Analysis of Different Hybrid NOMA Schemes

Ning Wang, Chenyu Zhang, Yanshi Sun, Minghui Min et autres

Hybrid non-orthogonal multiple access (H-NOMA), which combines the advantages of pure NOMA and conventional OMA organically, has emerged as a highly promising multiple access technology for future wireless networks. Recent studies have proposed various H-NOMA systems by employing different successive interference cancellation …