Zobrazeno 1 - 10
of 582
pro vyhledávání: '"Han, Yuchen"'
Autor:
Zhang, Bo, Han, Yuchen, Wu, Hong-Liang, Wu, Hao, Yang, Shuo, Oxborrow, Mark, Zhao, Qing, Fu, Yue, Li, Weibin, Wang, Yeliang, Zheng, Dezhi, Zhang, Jun
High-accuracy microwave sensing is widely demanded in various fields, ranging from cosmology to microwave quantum technology. Quantum receivers based on inorganic solid-state spin systems are promising candidates for such purpose because of the stabi
Externí odkaz:
http://arxiv.org/abs/2405.15144
Autor:
Li, Hao, Chen, Ying, Chen, Yifei, Yang, Wenxian, Ding, Bowen, Han, Yuchen, Wang, Liansheng, Yu, Rongshan
Whole Slide Image (WSI) classification is often formulated as a Multiple Instance Learning (MIL) problem. Recently, Vision-Language Models (VLMs) have demonstrated remarkable performance in WSI classification. However, existing methods leverage coars
Externí odkaz:
http://arxiv.org/abs/2402.19326
Interferometers and beam splitters are fundamental building blocks for photonic neuromorphic and quantum computing machinery. In waveguide-based photonic integrated circuits, beam-splitting is achieved with directional couplers that rely on transitio
Externí odkaz:
http://arxiv.org/abs/2311.18272
Many methods for estimating integrated volatility and related functionals of semimartingales in the presence of jumps require specification of tuning parameters for their use in practice. In much of the available theory, tuning parameters are assumed
Externí odkaz:
http://arxiv.org/abs/2311.00905
Pre-training and fine-tuning is a paradigm for alleviating the data scarcity problem in end-to-end speech translation (E2E ST). The commonplace "modality gap" between speech and text data often leads to inconsistent inputs between pre-training and fi
Externí odkaz:
http://arxiv.org/abs/2306.07650
Autor:
HAN Yuchen1,2, CHEN Weiwei2, BAI Yu1, DU Jing2, WANG Fei2,3 nkuflyking@163.com, AN Jiajia1 jiajiabest_007@163.com
Publikováno v:
Chinese Journal of Pathophysiology. Sep2024, Vol. 40 Issue 9, p1598-1605. 8p.
Statistical inference for stochastic processes based on high-frequency observations has been an active research area for more than two decades. One of the most well-known and widely studied problems has been the estimation of the quadratic variation
Externí odkaz:
http://arxiv.org/abs/2209.10128
Publikováno v:
Zhongguo aizheng zazhi, Vol 34, Iss 3, Pp 306-315 (2024)
Pathology is the gold standard for diagnosis of neoplastic diseases. Whole slide imaging turns traditional slides into digital images, and artificial intelligence has shown great potential in pathological image analysis, especially deep learning mode
Externí odkaz:
https://doaj.org/article/4f52041684f84b2ba1bdf5c0aebfeaa2
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500
Publikováno v:
In International Journal of Solids and Structures 15 October 2024 303