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Section: Publications & Resources
Android malware presents a persistent threat to users’ privacy and data integrity. To combat this, researchers have proposed machine learning-based (ML-based) Android malware detection (AMD) methods.
Section: Publications & Resources
Dynamic hand gestures encode rich physiological and behavioral characteristics, providing a promising biometric trait for reliable authentication. Existing studies primarily improve gesture authentica
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
Publication: IEEE Transactions on Signal Processing
Editor-in-Chief:Zhi TianGeorge Mason University, USAEmail EiC Email SPS Publications OfficeTerm Ends: 31 December 2026
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
OJSP-ICASSP 2027 SubmissionThis partnership between ICASSP and the Open Journal of Signal Processing (OJSP) provides an alternative to the standard ICASSP review track for papers intended for presentation at ICASSP. Papers submitted to OJ-SP that are designated as being intended for presentation at the conference will receive expedited review to ensure that a decision is available in time for inclusion in the conference program.The primary differences from the conference review track are:
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
