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Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Semi-supervised object detection (SSOD) in aerial imagery is significantly hampered by extreme object scale variations, primarily due to diverse spatial resolutions inherent in aerial data, measurable

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Despite the rapid progress of restoration-aware compression, existing studies still face challenges in low-bitrate restoration scenarios. Real-world image acquisition is inevitably affected by degrada

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Recently, Mamba-based super-resolution (SR) methods have demonstrated the ability to capture global receptive fields with linear complexity, addressing the quadratic computational cost of Transformer-

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

In semi-supervised object detection (SSOD), due to the limited availability of labeled data, the quality and quantity of pseudo labels generated from unlabeled images are crucial for model training. O

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Facial emotion recognition (FER) has traditionally focused on a limited set of basic expressions, often failing to capture the complexity, subtlety, and cultural variability of real-world human emotio

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

Reinforcement learning (RL) based routing that enables uncrewed aerial vehicles (UAVs) to choose the next hop has slow path exploration speed under jamming and gray-hole attacks and thus degrades the

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

We introduce Quantum-KIP, a method that compresses a training set into a small set of kernel inducing points with soft labels. It uses a quantum feature map to compute state-fidelity overlaps and reli

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

As a classical type of machine learning algorithms, tree models have been widely employed in various fields, such as financial analysis and health diagnostics, offering high-accuracy and low-latency p

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

With the wide application of template engines in Web development, Server-Side Template Injection (SSTI) attacks have become common security issues. Traditional white-box or black-box vulnerability met

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

Passwords have been widely used for authentication, yet they face significant security risks due to the progress of modern targeted guessing attack methods. Understanding the risks of targeted passwor