Exploiting Instance-Label Dynamics through Reciprocal Anchored Contrastive Learning for Few-Shot Relation Extraction Academic Background In the field of Natural Language Processing (NLP), Relation Extraction (RE) is a fundamental task aimed at identifying and extracting relationships between entities in text. However, traditional supervised learnin...

Research on Efficient Fine-Grained 3D Scene Editing Based on Rotation-Invariant Neural Point Fields Academic Background In the fields of computer vision and graphics, modeling and rendering novel views of real scenes from multi-view images is a central problem. Neural Radiance Fields (NeRF) have recently demonstrated significant potential in genera...

Academic Background In today’s complex network systems, state estimation is a critical issue, especially when dealing with uncertainties and noise. Complex networks typically consist of multiple interconnected nodes, and the dynamic behavior of each node may be influenced by nonlinear factors. The Takagi-Sugeno (T-S) fuzzy model has demonstrated si...

Research on Flexible Gait Sensors for Quadruped Robot Applications Background Introduction With the widespread application of robots in daily life and industrial production, especially in scenarios requiring standardized, persistent, and heavy-duty operations, the development of intelligent robots has gradually become a trend. However, robots still...

As the global aging problem intensifies, the incidence of neurodegenerative diseases (such as Alzheimer’s Disease, AD) is increasing year by year. Brain aging (Brain Aging, BA) is one of the significant risk factors for neurodegenerative diseases, but it does not completely align with chronological age (Chronological Age, CA). Traditional methods f...

Sense of Presence in Virtual Reality: Exploration and Validation of Neurophysiological Markers Background Introduction In recent years, Virtual Reality (VR) technology has been widely applied in fields such as medicine, training, and rehabilitation. The core of VR lies in the user’s “sense of presence,” which refers to the immersive experience of “...

Multi-Material Decomposition Research Based on Spectral Diffusion Posterior Sampling Background Introduction In the field of medical imaging, CT (Computed Tomography) technology is widely used in disease diagnosis and treatment planning. In recent years, spectral CT has become a research hotspot due to its ability to provide energy-dependent attenu...

Application of Multiresolution Signal Wavelet Network in Speech Emotion Recognition: SigWavNet Academic Background Speech Emotion Recognition (SER) plays a crucial role in human-computer interaction and psychological assessment. It identifies the speaker’s emotional state by analyzing speech signals, with wide applications in emergency call centers...

Research on Empathetic Response Generation in AI Dialogue Systems Academic Background With the rapid development of artificial intelligence technology, open-domain dialogue systems have gradually become a research hotspot. These systems aim to engage in natural and fluent conversations with users, providing reasonable responses. However, despite si...

Application of Text-Guided Reconstruction Network in Multimodal Sentiment Analysis Academic Background Multimodal Sentiment Analysis (MSA) is a research field that aims to integrate sentiment expressions from text, visual, and acoustic signals. With the abundance of user-generated online content, MSA demonstrates significant potential for improving...