Zobrazeno 1 - 10
of 1 779
pro vyhledávání: '"Zhao, Zhenyu"'
Autor:
Zhao, Zhenyu, Jiang, Yexi
Features (a.k.a. context) are critical for contextual multi-armed bandits (MAB) performance. In practice of large scale online system, it is important to select and implement important features for the model: missing important features can led to sub
Externí odkaz:
http://arxiv.org/abs/2409.13888
Opportunities and challenges in the application of large artificial intelligence models in radiology
Autor:
Pan, Liangrui, Zhao, Zhenyu, Lu, Ying, Tang, Kewei, Fu, Liyong, Liang, Qingchun, Peng, Shaoliang
Influenced by ChatGPT, artificial intelligence (AI) large models have witnessed a global upsurge in large model research and development. As people enjoy the convenience by this AI large model, more and more large models in subdivided fields are grad
Externí odkaz:
http://arxiv.org/abs/2403.16112
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 4, p e17622 (2020)
BackgroundDeidentification of clinical records is a critical step before their publication. This is usually treated as a type of sequence labeling task, and ensemble learning is one of the best performing solutions. Under the framework of multi-learn
Externí odkaz:
https://doaj.org/article/41351ce694b645f9b1b581443c03b693
In the domain of causal inference research, the prevalent potential outcomes framework, notably the Rubin Causal Model (RCM), often overlooks individual interference and assumes independent treatment effects. This assumption, however, is frequently m
Externí odkaz:
http://arxiv.org/abs/2402.12710
The evolving landscape of online multiplayer gaming presents unique challenges in assessing the causal impacts of game features. Traditional A/B testing methodologies fall short due to complex player interactions, leading to violations of fundamental
Externí odkaz:
http://arxiv.org/abs/2402.05336
Autor:
Ge, Xiaokun, Huck, Marten, Kuhlmann, Andreas, Tiemann, Michael, Weinberger, Christian, Xu, Xiaodan, Zhao, Zhenyu, Steinrück, Hans-Georg
Due to the hydrolytic instability of $LiPF_6$ in carbonate-based solvents, HF is a typical impurity in Li-ion battery electrolytes. HF significantly influences the performance of Li-ion batteries, for example by impacting the formation of the solid e
Externí odkaz:
http://arxiv.org/abs/2401.02267
Fractional calculus with respect to function $\psi$, also named as $\psi$-fractional calculus, generalizes the Hadamard and the Riemann-Liouville fractional calculi, which causes challenge in numerical treatment. In this paper we study spectral-type
Externí odkaz:
http://arxiv.org/abs/2312.16426
Diffusion models have become a mainstream approach for high-resolution image synthesis. However, directly generating higher-resolution images from pretrained diffusion models will encounter unreasonable object duplication and exponentially increase t
Externí odkaz:
http://arxiv.org/abs/2311.17528
Autor:
Zhang, Yujia, Guo, Xuhan, Albrow-Owen, Tom, Zhao, Zhenyu, Zhao, Yaotian, Hasan, Tawfique, Yang, Zongyin, Su, Yikai
Miniaturized spectrometry system is playing an essential role for materials analysis in the development of in-situ or portable sensing platforms across research and industry. However, there unavoidably exists trade-offs between the resolution and ope
Externí odkaz:
http://arxiv.org/abs/2308.07764
Autor:
Wang, Bin, Yu, Weizhen, Duan, Jinpeng, Yang, Shuwen, Zhao, Zhenyu, Zheng, Shuang, Zhang, Weifeng
On-chip implementation of optical nonlinear activation functions (NAFs) is essential for realizing large-scale photonic neural chips. To implement different neural processing and machine learning tasks with optimal performances, different NAFs are ex
Externí odkaz:
http://arxiv.org/abs/2306.04361