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The Workflows as Code paradigm is becoming increasingly essential to streamline the design and management of complex processes within data-intensive software systems. These systems require robust capabilities to process, analyze, and extract ...

• First study on “Workflows as Code” challenges in data-intensive Machine Learning systems using Airflow.
• Hierarchical taxonomy identifies 7 categories, 14 subcategories, and 10 root causes of challenges.
• Defining and executing ...

Querying structured databases with natural language (NL2SQL) has remained a difficult problem for years. Recently, the advancement of machine learning (ML), natural language processing (NLP), and large language models (LLM) have led to significant ...

The identification of minuscule objects in remote sensing data presents a formidable challenge in computer vision, where objects may occupy a mere handful of pixels. The lack of unique shape features in such small objects hinders the effectiveness ...

Fine-tuning pre-trained models for downstream tasks has led to a proliferation of open-sourced task-specific models. Recently, Model Merging (MM) has emerged as an effective approach to facilitate knowledge transfer among these independently fine-tuned ...

Single Sign-On (SSO)-based authentication protocols, like OpenID Connect (OIDC), play a crucial role in enhancing security and privacy in today's interconnected digital world, gaining widespread adoption among the majority of prominent authentication ...

In-band full duplex (IBFD) allows simultaneous communication in the same frequency band, thus significantly improving spectral efficiency. However, self-interference (SI) at the local transmitter affects decoding at the receiver, and SI intensity ...

Technical Q&A sites are valuable for software developers seeking knowledge, but the code snippets they provide are often uncompilable and incomplete due to unresolved types and missing libraries. This poses a challenge for users who wish to reuse or ...

ChatGPT, as a representative Foundation Model (FM)-powered tool, has demonstrated significant potential in assisting developers with various software engineering tasks, such as code generation, program repair, and test creation. However, the timing of ...

Effective communication is crucial for the success of open-source software development, particularly within distributed and asynchronous working environments on collaborative coding supporting platforms like GitHub. However, these environments often ...

In private computing applications various data relations can be represented by or reduced to some matrix relations. In addition, the residue ring ${\text{Z}}_m$ is one of the most widely used arithmetic systems in practice. One of the main challenges in ...${\mathbf{}}^{\mathbf{}}\mathbf{}\mathbf{}$${}_{}$${}^{\mathrm{}}$$\mathrm{}\mathrm{}$$\mathrm{}\mathrm{}$

Though recent advances in machine learning have led to significant improvements in natural language interfaces for databases, the accuracy and reliability of these systems remain limited, especially in high-stakes domains. This paper introduces SQLucid, ...

Traditional handicraft making and display usually require fixed steps of hand operating. Gesture-based design is a considerable way when designing serious interactive games for traditional handicraft transmission . This paper developed a design ...

Detecting vulnerabilities in source code is crucial for protecting software systems from cyberattacks. Pre-trained language models such as CodeBERT and GraphCodeBERT have been applied in multiple code-related downstream tasks such as code search ...

Self-Admitted Technical Debt (SATD), a concept highlighting sub-optimal choices in software development documented in code comments or other project resources, poses challenges in the maintainability and evolution of software systems. Large ...

Unsupervised video semantic compression (UVSC), i.e., compressing videos to better support various analysis tasks, has recently garnered attention. However, the semantic richness of previous methods remains limited, due to the single semantic ...

Decentralized matrix factorization (DMF) has emerged as a prominent technique for handling large-scale matrix completion tasks, such as those encountered in commercial recommender systems and social network analysis. Despite its effectiveness and ...$\mathrm{}$

ChatGPT has significantly impacted software development practices, providing substantial assistance to developers in various tasks, including coding, testing, and debugging. Despite its widespread adoption, the impact of ChatGPT as an assistant in ...

In the treatment of malocclusion, continuous monitoring of the three-dimensional relationship between dental roots and the surrounding alveolar bone is essential for preventing complications from orthodontic procedures. Cone-beam ...

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• The first deep learning based orthodontic system to continuous risk monitoring.
• Cross-temporal fusion framework for multimodal medical imaging registration.
• Novel registration method based on segmentation for internal structure ...

As location-based services (LBS) have grown in popularity, more human mobility data has been collected. The collected data can be used to build machine learning (ML) models for LBS to enhance their performance and improve overall experience for users. ...

As Virtual Reality (VR) applications grow in popularity, they have bridged distances and brought users closer together. However, with this growth, there have been increasing concerns about security and privacy, especially related to the motion data used ...