18 citations
- ETH ZurichCH3 papers
- City College of Dongguan University of TechnologyCN2 papers
- City University of Hong KongHK2 papers
- Hong Kong Polytechnic UniversityHK2 papers
- University of CambridgeGB2 papers
- Xinjiang UniversityCN2 papers
- Zhejiang UniversityCN2 papers
- Zhejiang University-University of Edinburgh InstituteCN2 papers
- Anqing Normal UniversityCN1 paper
- Augusta UniversityUS1 paper
- Beihang UniversityCN1 paper
- Beijing Technology and Business UniversityCN1 paper
16 papers
Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset
Eoin Cummins, Zhongyi Huang, Alexandre D'Hooge +3
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…
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…
The fragile nature of road transportation networks
Linghang Sun, Yifan Zhang, Cristian Axenie +3
Major cities worldwide experience problems with the performance of their road transportation networks, and the continuous increase in traffic demand presents a substantial challeng…
Spin order, spin excitations, and RIXS spectra of spin-1/2 tetramer chains
Junli Li, Jun-Qing Cheng, Trinanjan Datta +1
We investigate the spin dynamics of a 1D spin-1/2 Heisenberg tetramer chain. Employing a combination of Density Matrix Renormalization Group, quantum renormalization group, and per…
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations
Qishen Zhou, Yifan Zhang, Michail A. Makridis +3
Given a partially observed road network, how can we predict the traffic state of interested unobserved locations? Traffic prediction is crucial for advanced traffic management syst…
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…