Zobrazeno 1 - 10
of 46 336
pro vyhledávání: '"Wu, Wei"'
Autor:
Chen, Jing, Chen, Ji-Yuan, Chen, Jun-Feng, Chen, Xiang, Fu, Chang-Bo, Guo, Jun, Guo, Yi-Han, Khaw, Kim Siang, Li, Jia-Lin, Li, Liang, Li, Shu, Lin, Yu-ming, Liu, Dan-Ning, Liu, Kang, Liu, Kun, Liu, Qi-Bin, Liu, Zhi, Lu, Ze-Jia, Lv, Meng, Song, Si-Yuan, Sun, Tong, Tang, Jian-Nan, Wan, Wei-Shi, Wang, Dong, Wang, Xiao-Long, Wang, Yu-Feng, Wang, Zhen, Wang, Zi-Rui, Wu, Wei-Hao, Yang, Hai-Jun, Yang, Lin, Yang, Yong, Yu, Dian, Yuan, Rui, Zhang, Jun-Hua, Zhang, Yu-Lei, Zhang, Yun-Long, Zhao, Zhi-Yu, Zhou, Bai-Hong, Zhu, Chun-Xiang, Zhu, Xu-Liang, Zhu, Yi-Fan
DarkSHINE is a newly proposed fixed-target experiment initiative to search for the invisible decay of Dark Photon via missing energy/momentum signatures, based on the high repetition rate electron beam to be deployed/delivered by the Shanghai High re
Externí odkaz:
http://arxiv.org/abs/2411.09345
Autor:
Demirci, Gozde Merve, Yao, Jiachen, Ho, Ming-Chih, Hu, Xiaoling, Wu, Wei-Chi, Chen, Chao, Tsai, Chia-Ling
Accurate segmentation of retinal images plays a crucial role in aiding ophthalmologists in diagnosing retinopathy of prematurity (ROP) and assessing its severity. However, due to their underdeveloped, thinner vessels, manual annotation in infant fund
Externí odkaz:
http://arxiv.org/abs/2411.09140
With the development of large language models (LLMs), the ability to handle longer contexts has become a key capability for Web applications such as cross-document understanding and LLM-powered search systems. However, this progress faces two major c
Externí odkaz:
http://arxiv.org/abs/2411.02886
Autor:
Wu, Wei-Cheng, Yan, Yutian, Egilsson, Hallgrimur David, Park, David, Chan, Steven, Hauser, Christophe, Wang, Weihang
WebAssembly is a low-level bytecode language designed for client-side execution in web browsers. The need for decompilation techniques that recover high-level source code from WASM binaries has grown as WASM continues to gain widespread adoption and
Externí odkaz:
http://arxiv.org/abs/2411.02278
Autor:
Zhu, Yiheng, Wu, Jialu, Li, Qiuyi, Yan, Jiahuan, Yin, Mingze, Wu, Wei, Li, Mingyang, Ye, Jieping, Wang, Zheng, Wu, Jian
Inverse protein folding is a fundamental task in computational protein design, which aims to design protein sequences that fold into the desired backbone structures. While the development of machine learning algorithms for this task has seen signific
Externí odkaz:
http://arxiv.org/abs/2411.02120
Learning-task oriented semantic communication is pivotal in optimizing transmission efficiency by extracting and conveying essential semantics tailored to specific tasks, such as image reconstruction and classification. Nevertheless, the challenge of
Externí odkaz:
http://arxiv.org/abs/2411.01821
Stacking, a potent ensemble learning method, leverages a meta-model to harness the strengths of multiple base models, thereby enhancing prediction accuracy. Traditional stacking techniques typically utilize established learning models, such as logist
Externí odkaz:
http://arxiv.org/abs/2410.22722
Function registration, also referred to as alignment, has been one of the fundamental problems in the field of functional data analysis. Classical registration methods such as the Fisher-Rao alignment focus on estimating optimal time warping function
Externí odkaz:
http://arxiv.org/abs/2410.15421
Autor:
Wang, Zihan, Yang, Daniel W., Liu, Zerui, Yan, Evan, Sun, Heming, Ge, Ning, Hu, Miao, Wu, Wei
This study presents the first implementation of multilayer neural networks on a memristor/CMOS integrated system on chip (SoC) to simultaneously detect multiple diseases. To overcome limitations in medical data, generative AI techniques are used to e
Externí odkaz:
http://arxiv.org/abs/2410.14882
Large language models (LLMs) have become integral tool for users from various backgrounds. LLMs, trained on vast corpora, reflect the linguistic and cultural nuances embedded in their pre-training data. However, the values and perspectives inherent i
Externí odkaz:
http://arxiv.org/abs/2410.11647