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The Multimodal Emotion Recognition challenge MER2024 focuses on recognizing emotions using audio, language, and visual signals. In this paper, we present our submission solutions for the Semi-Supervised Learning Sub-Challenge (MER2024-SEMI), which ...

Large-scale pre-trained models have achieved remarkable success in various computer vision tasks. A standard approach to leverage these models is to fine-tune all model parameters for downstream tasks, which poses challenges in terms of computational and ...

Multi-Task Learning (MTL) is designed to train multiple correlated tasks simultaneously, thereby enhancing the performance of individual tasks. Typically, a multi-task network structure consists of a shared backbone and task-specific decoders. However, ...

Source-free domain adaptation (SFDA) aims to train a well-performed model in the target domain given both a trained source model and unlabeled target samples. Although achieving remarkable progress, existing SFDA methods do not explicitly reduce ...

Mainstream approaches for unsupervised domain adaptation (UDA) learn domain-invariant representations to address the domain shift. Recently, self-training has been used in UDA, which exploits pseudo-labels for unlabeled target domains. However, ...

Atrial fibrillation (AF) is a prevalent arrhythmia in clinical practice, with potentially serious consequences. Due to the difficulty in capturing most episodes of paroxysmal atrial fibrillation (PAF), there is an urgent need for real-time monitoring of ...

Medical data mainly includes various types of biomedical signals and medical images, which can be used by professional doctors to make judgments on patients' health conditions. However, the interpretation of medical data requires a lot of human ...

Obstructive sleep apnea is a common sleep-disordered breathing disorder caused by repeated obstruction of the upper airway. Existing sleep apnea automatic detection models usually use the time-frequency domain and nonlinear features of physiological ...

Computer systems and applications on the internet provide services to outsiders and, at the same time, the vulnerabilities may be exploited by attackers and leak some sensitive private information. To collect and monitor the service information provided ...

The multiphase motor drive systems have become a focus in many application areas such as ship electric propulsion, urban mass transit, aerospace, and weapon equipment, as they are characterized by high power density, low torque pulsation as small torque ...

Among liver cancer patients, diabetes is one of the most common complications. This paper uses the Diabetes Dataset of the National Clinical Medical Science Data Center to explore the factors affecting liver cancer in patients with type 2 diabetes ...

The fractional Fourier transform (FRFT) illustrates the physics behind chromatic dispersion in Fourier domain Optical Coherence Tomography(FD OCT). However, it fails in compensating the depth-dependent dispersion with high accuracy and speed which is ...

The incidence of prostate cancer increases annually. Prostate cancer is an underreported and emerging problem in China. We conducted a cross-sectional study of 392 eligible patients from 710 men with prostate cancer or benign prostatic hyperplasia ...

Noble metal nanoclusters (M NCs), defined as an aggregation of a few to tens of atoms, are considered a borderline between atoms and metal nanoparticles (M NPs), which tends to exhibit molecule-like behaviours such as discrete electronic state and size-...

In order to assess the regional impacts of TLS vulnerabilities in China, by using the combination of CT logs and IPv4 scans, we made measurements of the HTTPS ecosystem of China and obtained a representative dataset. Based on the dataset, we ...

We combine Total Variability algorithm with Deep Learning theory to complete the language recognition task. The Total Variability algorithm can compensate for the influence of differences in channels and speakers among various languages, while ...

Magnesium ion, as important cation in the human body, involved in various enzymatic reactions, glucose transport and insulin release. Now diabetes mellitus and diabetic complications have become important public ...

During the last decade, rapid development of mobile devices and applications has produced a large number of mobile data which hide numerous cyber-attacks. To monitor the mobile data and detect the attacks, NIDS/NIPS plays important role for ISP and ...

A novel method of digital image encryption is presented. Image encryption and decryption are performed based on the continuously increasing decorrelation property and the real-valuedness of the reality-preserving fractional Fourier transform. The input ...

Nowadays, worms have been one of the leading threats to information security and service availability. Current operational practices have not been able to manage the threat effectively. So it is very important to make early warning of the burst of worm ...