Academic Background With the rapid development of artificial intelligence (AI) technology, intelligent tutoring systems (ITS) such as Khan Academy and Coursera have made significant progress in personalized learning. Knowledge Tracing (KT), as a key technology in ITS, aims to infer students’ knowledge mastery and predict their future learning perfo...

Continual Learning of Conjugated Visual Representations through Higher-Order Motion Flows: A Study on the CMOSFET Model Academic Background In the fields of artificial intelligence and computer vision, continual learning from continuous visual data streams has long been a challenge. Traditional machine learning methods typically rely on the assumpt...

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...

Anxiety Disorder Identification and Biomarker Detection Based on Subspace-Enhanced Hypergraph Neural Network Academic Background Anxiety Disorders (ADs) are prevalent mental health issues globally, affecting approximately 7.3% of the population. Patients with anxiety disorders typically exhibit excessive fear, worry, and related behavioral abnormal...

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...

Evaluation of the Generalizability of Oncology Trial Results Using Machine Learning-Based Trial Emulations Academic Background Randomized Controlled Trials (RCTs) are the gold standard for evaluating the efficacy of anti-cancer drugs, but their results often cannot be directly generalized to real-world oncology patients. RCTs typically employ stric...

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...

Application of Imitation Learning in Path Planning for Percutaneous Cardiac Interventions Academic Background Cardiac valve diseases, particularly mitral regurgitation (MR), are the third most common type of valvular heart disease globally and have a higher incidence in the elderly population. MR is characterized by the incomplete closure of the mi...