In recent times, knowledge graph (KG) has been frequently incorporated into recommendation systems as side information. The end-to-end method based on graph neural network (GNN), representing a contemporary technical hotspot, can comprehensively ...

• We emphasize the importance of identifying and enriching cold-start items.
• KGFA enhances cold-start item representation and collaborative signal mining.
• We design an item attribute transference space to excavate collaborative ...

Existing methods attempt to improve models’ generalization ability on real-world hazy images by exploring well-designed training schemes (e.g., CycleGAN, prior loss). However, most of them need very complicated training procedures to achieve ...

This study presents a comprehensive framework for substation siting to address power demand and urbanization challenges. It integrates economic, social, and environmental dimensions to ensure reliable power supply systems. Using simulation techniques, ...

With the rise of AI, computing hardware with varying architectures has emerged. For some frequently used AI kernels, these hardwares provide special accelerators and related instructions. For example, since the Volta architecture, Nvidia GPUs have ...

Question retrieval aims to retrieve historical question-answer pairs that are semantically similar or related to newly posted questions. Existing methods rely on measuring the textual similarity between the asked question and the solved question, ...

Programmable packet scheduling enables the integration of scheduling algorithms into switches without the need for hardware redesign. The Push-In First-Out (PIFO) queue facilitates a programmable packet scheduler, supporting a single scheduling algorithm ...

As Distributed Deep Learning (DDL) gains prominence, network constraints have emerged as a critical bottleneck impacting DDL performance. While state-of-the-art loss-tolerant (LT) transmission protocols enhance DDL efficiency, their application in ...

With the accelerated development of the aging society, to meet the market demand for diversified elderly services, we have developed an intelligent senior care applet to meet the daily needs of the elderly in all aspects. The system uses ChatGPT to ...

In blockchain networks, the main purpose of proof of work (PoW) algorithms is to select the next block that is added to blockchain and ensure that nodes on blockchain can reach consensus, also it consumes a large amount of computing resources to modify ...

Enabling robots to effectively learn and imitate expert skills in long-horizon tasks remains challenging. Hierarchical imitation learning (HIL) approaches have made strides but often fall short in complex scenarios due to their reliance on self-...

In this paper, elliptic control problems with the integral constraint on the gradient of the state and the box constraint on the control are considered. The optimality conditions for the problem are proved. To numerically solve the problem, a ...

Reliability analysis can be particularly challenging when performance functions require time-consuming simulations. Such simulations often involve multiple fidelity sources. This paper aims to enhance the efficiency of reliability analysis by ...

In the middle and lower reaches of the Yangtze River Basin in China, a large amount of rice enters the heading and flowering stage during the hot summer following the plum rain season. The prolonged high temperature easily triggers widespread rice high-...

Modern data centers (DCs) employ various traffic load balancers to achieve high bisection bandwidth. Among them, flowlet switching has shown remarkable performance in both load balancing and upper-layer protocol (e.g., TCP) friendliness. However, flowlet-...

Knowledge graph (KG) is being introduced into recommender systems in more and more scenarios. However, the previous recommendation methods based on KG usually focus on mining the relative signals between a user and an item, while ignoring the ...

• Explicitly modeling cold-start users by classifying users.
• Considering both the collaborative signals and relative signals.
• A user logical interaction space is constructed to explore correlation among users.
• Employing the ...

Design of discrete phase sequence waveform (DPSW) with desirable co- and cross-ambiguity function (AF) properties has been a longstanding and critical challenge in the field of high-performance multichannel electronic systems, e.g. radar systems. This ...

Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images. Some existing deep learning based methods are devoted to improving the model performance via increasing the depth or width of ...

Real-world regular expressions (regexes for short) have a wide range of applications in software. However, the support for regexes in test generation is insufficient. For example, existing works lack support for some important features such as ...

Modeling regular expressions (regexes) has been applied in abundant scenes, but at present, there is a lack of comprehensive modeling for extended operators, which limits their usage in related scenes. To address the problem, we comprehensively ...

Asynchronous Byzantine Fault-Tolerant (BFT) consensus protocols maintain strong consistency across nodes (i.e., ensure safety) and terminate probabilistically (i.e., ensure liveness) despite unbounded network delay. In contrast to protocols under partial ...