Journal of Computer Science and Technology

We have built openGauss, an enterprise-grade open-source database system. openGauss has fulfilled its design goal of high performance, high availability, high security, and high intelligence. For high performance, it leverages NUMA (non-uniform ...

This paper presents an original investigation into the domain of violence detection in videos, introducing an innovative approach tailored to the unique challenges of a federated learning environment. The study encompasses a comprehensive ...

Federated multi-task learning (FMTL) has emerged as a promising framework for learning multiple tasks simultaneously with client-aware personalized models. While the majority of studies have focused on dealing with the non-independent and ...

Inductive knowledge graph embedding (KGE) aims to embed unseen entities in emerging knowledge graphs (KGs). The major recent studies of inductive KGE embed unseen entities by aggregating information from their neighboring entities and relations ...

Deep neural networks (DNNs) are vulnerable to elaborately crafted and imperceptible adversarial perturbations. With the continuous development of adversarial attack methods, existing defense algorithms can no longer defend against them ...$${\mathcal{}}_{}$$

Multi-task learning (MTL) can boost the performance of individual tasks by mutual learning among multiple related tasks. However, when these tasks assume diverse complexities, their corresponding losses involved in the MTL objective inevitably ...

Travel time estimation (TTE) is a fundamental task to build intelligent transportation systems. However, most existing TTE solutions design models upon simple homogeneous graphs and ignore the heterogeneity of traffic networks, where, e.g., main ...

The historical interaction sequences of users play a crucial role in training recommender systems that can accurately predict user preferences. However, due to the arbitrariness of user behaviors, the presence of noise in these sequences poses a ...

Recommendation has been widely used in business scenarios to provide users with personalized and accurate item lists by efficiently analyzing complex user-item interactions. However, existing recommendation methods have significant shortcomings in ...

K-nearest neighbor (KNN) is one of the most fundamental methods for unsupervised outlier detection because of its various advantages, e.g., ease of use and relatively high accuracy. Currently, most data analytic tasks need to deal with high-...

Point cloud analysis is challenging because of the unordered and irregular data structure of point clouds. To describe geometric information in point clouds, existing methods mainly use convolution, graph, and attention operations to construct ...

This paper presents ScenePalette, a modeling tool that allows users to “draw” 3D scenes interactively by placing objects on a canvas based on their contextual relationship. ScenePalette is inspired by an important intuition which was often ignored ...

Coincidence detection of two curves or two surfaces has wide application in computer-aided design (CAD) and computer-aided geometric design (CAGD). Proper reparameterization is the most complicated part in the detection. This paper presents and ...

Fault diagnosis plays a crucial role in the fault tolerability assessment of an interconnection network, which is of great value in the design and maintenance of large-scale multiprocessor systems. A t/s-diagnostic strategy, as the generalization ...