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The importance of social network alignment (SNA) for various downstream applications, such as social network information fusion and e-commerce recommendation, has prompted numerous professionals to develop and share SNA tools. However, malicious actors ...

Interactive rendering of dynamic scenes with complex global illumination has been a long-standing problem in computer graphics. Recent advances in neural rendering demonstrate new promising possibilities. However, while existing methods have achieved ...

Visual Semantic Embedding (VSE) is a primary model for cross-modal retrieval, wherein the global feature aggregator is a crucial component of the VSE model. In recent research, the General Pooling Operator (GPO) aggregator, which weighs the features ...

Graph relational structures are ubiquitous and prediction problems on graphs are very popular, such as node prediction vs. edge prediction. However, current models concentrating on improving test performance on intra-distributed data and largely ignoring ...

Cloud services have attracted numerous enterprises, organizations, and individual users due to their exceptional computing power and almost limitless storage capacity. A vast amount of business data and private data are continuously uploaded to ...

• Most encryption-based data deletion schemes involve many complex bilinear mapping operations, which are expensive for most devices. As far as the current research is concerned, our scheme is the most state-of-the-art, especially in terms ...

• This paper studies the impact of oil shocks on systemic risk of G7 stock markets.
• We construct a risk spillover network among G7 stock markets by TVP-VAR.
• The results indicate that the impact of oil supply shock is insignificant.

In this paper, we delve into the critical role of oil shocks in influencing the systematic risk of G7 stock markets—a concern of paramount importance given the interconnectedness of global economies and the pivotal role of energy markets. We ...

Object detection has gradually become one of the essential technologies in the field of artificial intelligence. YOLOv8 is a popular version of YOLO series and has attracted the attention of scholars due to its excellent detection performance. ...

• The higher the anxiety of the player, the greater the tendency to change strategy, and we introduce an anxiety threshold θ to crystallize this tendency.
• A combination of endogenous anxiety and peer pressure, both of which are sources ...

Complex and intense competition always exists in human society, in which people would inevitably feel anxiety due to failure. Anxious people would doubt their own strategies and try to change them. For the individuals, anxiety stems mainly from ...

Heterogeneous temporal network embedding aims to learn each node of different types of a heterogeneous temporal network in each snapshot into a low-dimensional vector representation, which can be used for various network analysis tasks such as ...

The use of mobile sinks (MSs) can address several challenges for traditional wireless sensor networks (WSNs), such as energy holes, meanwhile it also introduces some new issues. Especially, for the path constraint MS, the fixed trajectory and ...

Music influences people in many ways and plays an important role in human life from emotional expression to social interaction to cognitive development. However, the variety of musical styles is often difficult to distinguish. In this paper, different ...

The depth estimation of nighttime images is a challenging problem due to the lack of accurate ground-truth depth labels. Although various self-supervised methods leveraging texture information have been proposed to solve the problem, the ...

• The reflectance part of nighttime image mainly contains texture information.
• A self-supervised Reflectance-Aware Depth Estimation approach is proposed.
• The texture information is extracted by the Reflectance Extraction Network.

A composite control method based on adaptive dynamic programming (ADP) is developed to solve the profile tracking problem of the hypersonic gliding vehicle (HGV) with multiple constraints (flight and input constraints). First, based on ...

The Internet of Things (IoT) interconnects a vast number of physical devices with each other and enables remote monitoring and control of the physical system. This, together with the recent progress of virtual reality (VR) technology, provides an ...

Cross-domain data analysis is playing an increasingly important role in media convergence and can be adopted for many applications. Most existing methods consider the domain discrimination as the multimodal representation difference or the imbalanced item ...

Network embedding aspires to learn a low‐dimensional vector of each node in networks, which can apply to diverse data mining tasks. In real‐life, many networks include rich attributes and temporal information. However, most existing embedding ...

Most real-world networks are heterogeneous and consist of different types of nodes and edges. Relationships (edges) between nodes of different types carry different semantics, hence relationship prediction in heterogeneous networks aims to ...

Conventionally, interior lighting design is technically complex yet challenging and requires professional knowledge and aesthetic disciplines of designers. This article presents a new digital lighting design framework for virtual interior scenes, which ...

Indoor scenes typically exhibit complex, spatially-varying appearance from global illumination, making inverse rendering a challenging ill-posed problem. This work presents an end-to-end, learning-based inverse rendering framework incorporating ...

Uncertainty is a natural character of knowledge, while it is still tough to be encoded into the knowledge graph embedding space that can be employed for machine learning tasks. However, the approximate inference could be performed in ...