Experience on Automatically Converting a C++ Monolith to Java EE
arXiv:2603.08200v1 Announce Type: new Abstract: Converting a large C++ code base (800k lines of code) into Java alone is challenging. Changing the architecture from a...
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arXiv:2603.08200v1 Announce Type: new Abstract: Converting a large C++ code base (800k lines of code) into Java alone is challenging. Changing the architecture from a...
arXiv:2603.08202v1 Announce Type: new Abstract: Contrastive learning has become a fundamental approach in both uni-modal and multi-modal frameworks. This learning paradigm pulls positive pairs of...
arXiv:2603.08206v1 Announce Type: new Abstract: Prior-Data Fitted Networks (PFNs), such as TabPFN and TabICL, have revolutionized tabular deep learning by leveraging in-context learning for tabular...
arXiv:2603.08207v1 Announce Type: new Abstract: Removing personally identifiable information (PII) from texts is necessary to comply with various data protection regulations and to enable data...
arXiv:2603.08208v1 Announce Type: new Abstract: Reliable unmanned aerial vehicle (UAV) detection is critical for autonomous airspace monitoring but remains challenging when integrating sensor streams that...
arXiv:2603.08209v1 Announce Type: new Abstract: The multiple-choice knapsack problem (MCKP) is a classic combinatorial optimization with wide practical applications. This paper investigates a significant yet...
arXiv:2603.08210v1 Announce Type: new Abstract: Achieving semantic alignment across diverse video generation conditions remains a significant challenge. Methods that rely on explicit structural guidance often...
arXiv:2603.08211v1 Announce Type: new Abstract: In asynchronous federated learning (FL), client devices send updates to a central server at varying times based on their computational...
arXiv:2603.08212v1 Announce Type: new Abstract: Recent progress in real-time hand pose estimation from surface electromyography (sEMG) has been driven by the emg2pose benchmark, whose original...
arXiv:2603.08218v1 Announce Type: new Abstract: The Internet of Things (IoT) has revolutionized the way devices communicate and interact with each other, but it has also...
arXiv:2603.08219v1 Announce Type: new Abstract: In this paper, we explore how our recently developed Wiener Chaos Expansion (WCE)-based neural operator (NO) can be applied to...
arXiv:2603.08220v1 Announce Type: new Abstract: Tensor analysis provides a frame-invariant foundation for continuum mechanics, yet numerical implementations rely on matrix representations expressed in user-selected bases....
arXiv:2603.08221v1 Announce Type: new Abstract: Enterprise adoption of cloud-based AI agents faces a fundamental privacy dilemma: leveraging powerful cloud models requires sharing sensitive data, while...
arXiv:2603.08224v1 Announce Type: new Abstract: For video-text retrieval, the use of CLIP has been a de facto choice. Since CLIP provides only image and text...
arXiv:2603.08225v1 Announce Type: new Abstract: The recovery of types from stripped binaries is a key to exact decompilation, yet its practical realization suffers. For composite...
arXiv:2603.08227v1 Announce Type: new Abstract: Implicit Neural Representations (INRs) have emerged as a promising paradigm for video representation and compression. However, existing multi-scale INR generators...
arXiv:2603.08228v1 Announce Type: new Abstract: Generating high-fidelity, 3D-consistent garment textures remains a challenging problem due to the inherent complexities of garment structures and the stringent...
arXiv:2603.08230v1 Announce Type: new Abstract: Speech emotion recognition plays an important role in various applications. However, most existing approaches predict a single emotion label, oversimplifying...
arXiv:2603.08232v1 Announce Type: new Abstract: This paper introduces a general Lie group framework for modeling continuum soft robots, employing Cosserat rod theory combined with cumulative...
arXiv:2603.08234v1 Announce Type: new Abstract: With the rapid advancement of large language models (LLMs), the safety of LLMs has become a critical concern. Despite significant...
arXiv:2603.08235v1 Announce Type: new Abstract: Diabetic retinopathy (DR) and diabetic macular edema (DME) are leading causes of preventable blindness among working-age adults. Traditional approaches in...
arXiv:2603.08236v1 Announce Type: new Abstract: We revisit millimeter-wave (mmWave) human pose estimation (HPE) from a signal preprocessing perspective. A single mmWave frame provides structured dimensions...
arXiv:2603.08239v1 Announce Type: new Abstract: Large language models are increasingly trained as heterogeneous systems spanning multiple domains, expert partitions, and agentic pipelines, yet prevalent proximal...
arXiv:2603.08240v1 Announce Type: new Abstract: Collaborative perception integrates multi-agent perspectives to enhance the sensing range and overcome occlusion issues. While existing multimodal approaches leverage complementary...