Zobrazeno 1 - 10
of 658
pro vyhledávání: '"Yang Kexin"'
Publikováno v:
Xin yixue, Vol 55, Iss 7, Pp 489-496 (2024)
Mycoplasma pneumoniae pneumonia (MPP) is a common cause of community-acquired pneumonia in children aged 5 and older in China. Although most affected children have favorable clinical prognosis, some cases can escalate into severe MPP due to ris
Externí odkaz:
https://doaj.org/article/c01bf3fbe5bd4242948beddeea93cf7f
Publikováno v:
Xin yixue, Vol 55, Iss 7, Pp 578-580 (2024)
Externí odkaz:
https://doaj.org/article/b79815017d1444ffa06a0c9a97095429
Autor:
Huang, Shoujin, Luo, Guanxiong, Wang, Yuwan, Yang, Kexin, Zhang, Lingyan, Liu, Jingzhe, Guo, Hua, Wang, Min, Lyu, Mengye
Simultaneous multislice (SMS) imaging is a powerful technique for accelerating magnetic resonance imaging (MRI) acquisitions. However, SMS reconstruction remains challenging due to the complex signal interactions between and within the excited slices
Externí odkaz:
http://arxiv.org/abs/2407.21600
Autor:
Yang, An, Yang, Baosong, Hui, Binyuan, Zheng, Bo, Yu, Bowen, Zhou, Chang, Li, Chengpeng, Li, Chengyuan, Liu, Dayiheng, Huang, Fei, Dong, Guanting, Wei, Haoran, Lin, Huan, Tang, Jialong, Wang, Jialin, Yang, Jian, Tu, Jianhong, Zhang, Jianwei, Ma, Jianxin, Yang, Jianxin, Xu, Jin, Zhou, Jingren, Bai, Jinze, He, Jinzheng, Lin, Junyang, Dang, Kai, Lu, Keming, Chen, Keqin, Yang, Kexin, Li, Mei, Xue, Mingfeng, Ni, Na, Zhang, Pei, Wang, Peng, Peng, Ru, Men, Rui, Gao, Ruize, Lin, Runji, Wang, Shijie, Bai, Shuai, Tan, Sinan, Zhu, Tianhang, Li, Tianhao, Liu, Tianyu, Ge, Wenbin, Deng, Xiaodong, Zhou, Xiaohuan, Ren, Xingzhang, Zhang, Xinyu, Wei, Xipin, Ren, Xuancheng, Liu, Xuejing, Fan, Yang, Yao, Yang, Zhang, Yichang, Wan, Yu, Chu, Yunfei, Liu, Yuqiong, Cui, Zeyu, Zhang, Zhenru, Guo, Zhifang, Fan, Zhihao
This report introduces the Qwen2 series, the latest addition to our large language models and large multimodal models. We release a comprehensive suite of foundational and instruction-tuned language models, encompassing a parameter range from 0.5 to
Externí odkaz:
http://arxiv.org/abs/2407.10671
Publikováno v:
CSCW2024
Due to the significant differences in physical conditions and living environments of people with disabilities, standardized assistive technologies (ATs) often fail to meet their needs. Modified AT, especially DIY (Do It Yourself) ATs, are a popular s
Externí odkaz:
http://arxiv.org/abs/2406.09467
Transformer has become one of the most popular architectures for multivariate time series (MTS) forecasting. Recent Transformer-based MTS models generally prefer channel-independent structures with the observation that channel independence can allevi
Externí odkaz:
http://arxiv.org/abs/2403.02814
Autor:
Xue, Mingfeng, Liu, Dayiheng, Yang, Kexin, Dong, Guanting, Lei, Wenqiang, Yuan, Zheng, Zhou, Chang, Zhou, Jingren
The emergence of large language models (LLMs) has revolutionized natural language processing tasks. However, existing instruction-tuning datasets suffer from occupational bias: the majority of data relates to only a few occupations, which hampers the
Externí odkaz:
http://arxiv.org/abs/2310.16517
Long-term time series forecasting plays an important role in various real-world scenarios. Recent deep learning methods for long-term series forecasting tend to capture the intricate patterns of time series by decomposition-based or sampling-based me
Externí odkaz:
http://arxiv.org/abs/2306.06895
Autor:
Wang, Zekun, Zhang, Ge, Yang, Kexin, Shi, Ning, Zhou, Wangchunshu, Hao, Shaochun, Xiong, Guangzheng, Li, Yizhi, Sim, Mong Yuan, Chen, Xiuying, Zhu, Qingqing, Yang, Zhenzhu, Nik, Adam, Liu, Qi, Lin, Chenghua, Wang, Shi, Liu, Ruibo, Chen, Wenhu, Xu, Ke, Liu, Dayiheng, Guo, Yike, Fu, Jie
Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence. This paradigm considers
Externí odkaz:
http://arxiv.org/abs/2305.13246
Cellular traffic prediction is an indispensable part for intelligent telecommunication networks. Nevertheless, due to the frequent user mobility and complex network scheduling mechanisms, cellular traffic often inherits complicated spatial-temporal p
Externí odkaz:
http://arxiv.org/abs/2303.00498