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Section: Publications & Resources
In this work, we investigate the task of Federated Generalized Category Discovery (Fed-GCD), which aims to leverage labeled data from known classes to cluster unlabeled samples from both known and unk
Section: Publications & Resources
Indoor presence detection is essential for security monitoring in smart spaces, supporting applications such as access control and anomaly detection. While Wi-Fi Channel State Information (CSI) sensin
Section: Publications & Resources
As textual adversarial attacks pose risks to natural language processing models, adversarial training is often utilized to improve robustness of these systems. In a strict black-box scenario, most que
Section: Publications & Resources
This paper investigates the distributed generalized Nash equilibrium (GNE) seeking problem for purely monotone games with set and shared affine inequality constraints over communication-constrained ne
Section: Publications & Resources
Current research on Audio Deepfake Detection (ADD) mainly relies on centralized training paradigms, while paying limited attention to privacy preservation under data localization regulations or user-c
Section: Publications & Resources
Publication: IEEE Signal Processing Letters
High-dimensional and correlated reference signals make multi-reference active noise control (ANC) computationally demanding, prone to slow convergence, and difficult to deploy in real-time application
Section: Publications & Resources
Publication: IEEE Signal Processing Letters
Multistatic ranging with mobile receivers enables good tracking performance due to the combined adaptive sensor geometry. However, environments that contain signal obstructing obstacles require receiv
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
An analytic para-Hermitian matrix is commonly used to characterize wideband signal models in array signal processing. In this paper, an algorithm for computing the analytic solution of a linear system
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
AI-generated image quality assessment (AIGIQA) requires jointly reasoning about perceptual fidelity and prompt alignment, two quality dimensions that are often treated as independent in existing AIGIQ
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Medical hyperspectral images (MHSIs) are highly promising for assisting with pathological diagnoses because of their rich spatial and spectral information. However, the existing methods inadequately m
