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Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

Concurrency bugs arising from asynchronous-synchronous interactions pose a serious and underexplored threat to OS kernel security. Conventional detection methods often fail to capture the delayed trig

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

In recent years, deep learning-based light field (LF) super-resolution (SR) methods have significantly improved LF image quality. However, most existing LFSR rely on fixed bicubic downsampling to cons

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

Three-dimensional (3D) inverse synthetic aperture radar (ISAR) imaging significantly improves the target discriminability. However, in practical scenarios such as high sea states, the complex target m

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

Single-photon LiDAR (SP-LiDAR), with its extremely high sensitivity, is well suited for imaging in photon-sparse conditions and under strong background noise. However, most existing approaches rely on

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

Electrical Impedance Tomography is a non-invasive imaging modality that is radiation-free and cost-effective; yet, accurately estimating internal conductivity remains challenging due to its inherent i

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

Hyperspectral imaging (HSI) has shown great potential in areas ranging from remote sensing to medical imaging due to its ability to capture detailed spectral information across hundreds of bands. Howe

Section: Publications & Resources

Publication: IEEE Transactions on Signal and Information Processing over Networks

Graph-structured data are observations associated with a graph structure in which vertices and edges describe some kind of data correlation. This paper proposes a regression method for graph-structure

Section: Publications & Resources

Publication: IEEE Transactions on Signal and Information Processing over Networks

With the increasing scale and dynamics of data, distributed online optimization has become essential for real-time decision-making in various applications. However, existing algorithms often rely on b

Section: Publications & Resources

Publication: IEEE Transactions on Audio, Speech and Language Processing

Deep learning-based Sound Event Localization and Detection (SELD) systems suffer severe performance degradation in real-world, long-tailed acoustic environments. Standard continuous regression objecti

Section: Publications & Resources

Publication: IEEE Transactions on Audio, Speech and Language Processing

Automatic speech recognition (ASR) has been widely applied in intelligent assistants and voice services, and high-performance ASR models trained on large-scale speech data have become important commer