GAN Inversion and Image Editing New Method: Warping the Residuals for Image Editing with StyleGAN Background and Research Problem Generative Adversarial Networks (GANs) have made remarkable progress in the field of image generation, enabling the synthesis and editing of high-quality images. StyleGAN models, known for their semantically interpretabl...

Background and Significance Object re-identification (Re-ID) is an essential task in computer vision aimed at identifying specific objects across different times and scenes. Driven by deep learning, particularly convolutional neural networks (CNNs), this field has made significant strides. However, the emergence of vision transformers has opened ne...

Multi-Year, Multi-Disciplinary Efforts in Scientific Research Data Management Education Research Background With the development of modern neuroscience, Research Data Management (RDM) has become an indispensable skill for scientists. However, despite the importance of research data management for scientific research, such technical skills are often...

High-Speed High-Power Free-Space Optical Communication: Direct Modulation of Watt-Level Photonic Crystal Surface-Emitting Lasers Background Introduction As a vital light source for optical communication, semiconductor lasers are widely used due to their small size, low cost, long lifespan, and high efficiency. For example, vertical-cavity surface-e...

Hyperspectral In-Memory Computing and Applications of Optical Frequency Comb and Programmable Optical Memory Introduction In recent years, breakthroughs in machine learning have driven revolutionary developments in various industries, including healthcare, finance, retail, automotive, and manufacturing. These transformations have led to a surge in ...

Characterization of Heterogeneity in Muscle Fiber Types and Selective Susceptibility in Inclusion Body Myositis With advancing age, the incidence of inflammatory myopathies gradually increases, among which inclusion body myositis (IBM) is the most common type, currently lacking effective treatment methods. Unlike other inflammatory myopathies, IBM ...

Scientific Data Report | K-emophone: A Mobile and Wearable Dataset with On-site Emotion, Stress, and Attention Labels Background With the proliferation of low-cost mobile and wearable sensors, numerous studies have leveraged these devices to track and analyze human mental health, productivity, and behavioral patterns. However, despite the developme...

Deep-learning-based Motor Imagery EEG Classification by Exploiting the Functional Connectivity of Cortical Source Imaging Research Background and Motivation A brain-computer interface (BCI) is a system that directly decodes and outputs brain activity information without relying on related neural pathways and muscles, thereby achieving communication...

A Study on EEG Activities in Artistic and Engineering Thinking during the Creative Process Background and Research Motivation Creativity is universally regarded as the ability to imagine new and valuable things. Researchers have identified two types of creative thinking: growth mindset and fixed mindset. Growth mindset creativity can improve skills...

Temporal Aggregation and Propagation Graph Neural Networks (TAP-GNN) Background Introduction A temporal graph is a graph structure with dynamic interactions between nodes over continuous time, where the topology evolves over time. Such dynamic changes enable nodes to exhibit varying preferences at different times, which is critical for capturing us...