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- University of Science and Technology of ChinaCN45 papers
- Sun Yat-sen UniversityCN43 papers
- Xi'an Jiaotong UniversityCN43 papers
- National Taiwan UniversityTW42 papers
- Tsinghua UniversityCN42 papers
- Charles UniversityCZ41 papers
- Institute of High Energy PhysicsCN41 papers
- Shanghai Jiao Tong UniversityCN41 papers
- Beijing Normal UniversityCN40 papers
- Joint Institute for Nuclear ResearchRU40 papers
- Nanjing UniversityCN40 papers
- National United UniversityTW40 papers
170 papers
Stable three-dimensional solitons in spin-orbit-coupled atomic-molecular condensates
Chao Kong, Jinqing Li, Guihua Chen +5
We elaborate a mechanism for the creation of stable three-dimensional (3D) solitons in spin-orbit-coupled (SOC) atomic-molecular Bose-Einstein condensate, modeled by the mean-field…
Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset
Eoin Cummins, Zhongyi Huang, Alexandre D'Hooge +2
Existing audio-to-score (A2S) systems primarily focus on classical music, and the application to popular music remains underexplored. This paper first presents the new SheetSage-A2…
Prosody-driven Jailbreaks in Audio LLMs: A Controlled Study and Mechanistic Analysis
Jiachen Qian, Junyu Li
Audio-capable foundation models enable end-to-end spoken interaction, but they also introduce safety risks beyond transcript content. It remains unclear how much jailbreak capabili…
Monogamy inequalities of entanglement of assistance in systems
Xue-Na Zhu, Gui Bao, Zhi-Xiang Jin +2
The monogamy relations characterize the distribution of quantum correlations among the multipartite quantum systems. We study the monogamy relations of the entanglement of assistan…
2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
Jay Lee, Hanqi Su, Marco Macchi +50
The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by providing new capabilities for efficiency, adaptability, and autonomy ac…
ActiveFreq: Integrating Active Learning and Frequency Domain Analysis for Interactive Segmentation
Lijun Guo, Qian Zhou, Zidi Shi +2
Interactive segmentation is commonly used in medical image analysis to obtain precise, pixel-level labeling, typically involving iterative user input to correct mislabeled regions.…