Zobrazeno 1 - 10
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pro vyhledávání: '"Lin, Wan"'
Current mainstream speaker verification systems are predominantly based on the concept of ``speaker embedding", which transforms variable-length speech signals into fixed-length speaker vectors, followed by verification based on cosine similarity bet
Externí odkaz:
http://arxiv.org/abs/2410.16428
Many exotic charmoniumlike mesons have already been discovered experimentally, of which the $Z_c$ mesons with isospin 1 are prominent examples. We investigate $J^{PC}=1^{+\pm}$ states with flavor $\bar cc \bar qq$ ($q=u,d$) in isospin 1 using lattice
Externí odkaz:
http://arxiv.org/abs/2406.09842
Autor:
Lin, Wan-Hsuan, Cong, Jason
Quantum Layout Synthesis (QLS) plays a crucial role in optimizing quantum circuit execution on physical quantum devices. As we enter the era where quantum computers have hundreds of qubits, we are faced with scalability issues using optimal approache
Externí odkaz:
http://arxiv.org/abs/2405.18371
Dynamically field-programmable qubit arrays based on neutral atoms feature high fidelity and highly parallel gates for quantum computing. However, it is challenging for compilers to fully leverage the novel flexibility offered by such hardware while
Externí odkaz:
http://arxiv.org/abs/2405.15095
Autor:
Wang, Hsin-Yao, Lin, Ting-Wei, Chiu, Sherry Yueh-Hsia, Lin, Wan-Ying, Huang, Song-Bin, Hsieh, Jason Chia-Hsun, Chen, Hsieh Cheng, Lu, Jang-Jih, Wu, Min-Hsien
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 8, p e20261 (2020)
BackgroundColorectal cancer screening by fecal occult blood testing has been an important public health test and shown to reduce colorectal cancer–related mortality. However, the low participation rate in colorectal cancer screening by the general
Externí odkaz:
https://doaj.org/article/6a322472ca834e48a1a6419416c34744
Autor:
Wu, Xidong, Lin, Wan-Yi, Willmott, Devin, Condessa, Filipe, Huang, Yufei, Li, Zhenzhen, Ganesh, Madan Ravi
Federated Learning (FL) is a distributed training paradigm that enables clients scattered across the world to cooperatively learn a global model without divulging confidential data. However, FL faces a significant challenge in the form of heterogeneo
Externí odkaz:
http://arxiv.org/abs/2311.08479
Autor:
Qiu, Chen, Li, Xingyu, Mummadi, Chaithanya Kumar, Ganesh, Madan Ravi, Li, Zhenzhen, Peng, Lu, Lin, Wan-Yi
Prompt learning for vision-language models, e.g., CoOp, has shown great success in adapting CLIP to different downstream tasks, making it a promising solution for federated learning due to computational reasons. Existing prompt learning techniques re
Externí odkaz:
http://arxiv.org/abs/2310.06123
In real-world applications, speaker recognition models often face various domain-mismatch challenges, leading to a significant drop in performance. Although numerous domain adaptation techniques have been developed to address this issue, almost all p
Externí odkaz:
http://arxiv.org/abs/2309.14149
Publikováno v:
Zhipu Xuebao, Vol 45, Iss 6, Pp 851-860 (2024)
American ginseng contains a variety of active ingredients. Bioactive peptides with biological functions can be obtained by protease hydrolysis, which has physiological activities such as lowering blood pressure, anti-oxidation and antibacterial. The
Externí odkaz:
https://doaj.org/article/5b6905c7b2344f608771efb89b7b0fe1
Publikováno v:
Neurology and Therapy, Vol 13, Iss 6, Pp 1685-1700 (2024)
Abstract Background Autism spectrum disorder (ASD) poses a significant challenge due to its diverse impact on individuals, emphasizing the need for personalized treatment plans. The financial burden of ASD-related healthcare is substantial, necessita
Externí odkaz:
https://doaj.org/article/a203c04a33034387835736179888fe8d