Zobrazeno 1 - 10
of 717
pro vyhledávání: '"He Lifang"'
Publikováno v:
Tongxin xuebao, Vol 45, Pp 176-186 (2024)
Given the issues of low transmission rate and poor bit error performance in traditional differential chaos shift keying systems, a dual-mode three-dimensional index modulation differential chaos shift keying (DMTD-IM-DCSK) system was proposed. This s
Externí odkaz:
https://doaj.org/article/e35332f814c74798b5f8c1480f1d2edc
Autor:
Li, Lincan, Li, Jiaqi, Chen, Catherine, Gui, Fred, Yang, Hongjia, Yu, Chenxiao, Wang, Zhengguang, Cai, Jianing, Zhou, Junlong Aaron, Shen, Bolin, Qian, Alex, Chen, Weixin, Xue, Zhongkai, Sun, Lichao, He, Lifang, Chen, Hanjie, Ding, Kaize, Du, Zijian, Mu, Fangzhou, Pei, Jiaxin, Zhao, Jieyu, Swayamdipta, Swabha, Neiswanger, Willie, Wei, Hua, Hu, Xiyang, Zhu, Shixiang, Chen, Tianlong, Lu, Yingzhou, Shi, Yang, Qin, Lianhui, Fu, Tianfan, Tu, Zhengzhong, Yang, Yuzhe, Yoo, Jaemin, Zhang, Jiaheng, Rossi, Ryan, Zhan, Liang, Zhao, Liang, Ferrara, Emilio, Liu, Yan, Huang, Furong, Zhang, Xiangliang, Rothenberg, Lawrence, Ji, Shuiwang, Yu, Philip S., Zhao, Yue, Dong, Yushun
In recent years, large language models (LLMs) have been widely adopted in political science tasks such as election prediction, sentiment analysis, policy impact assessment, and misinformation detection. Meanwhile, the need to systematically understan
Externí odkaz:
http://arxiv.org/abs/2412.06864
In this paper, we introduce a novel normative modeling approach that incorporates focal loss and adversarial autoencoders (FAAE) for Alzheimer's Disease (AD) diagnosis and biomarker identification. Our method is an end-to-end approach that embeds an
Externí odkaz:
http://arxiv.org/abs/2411.10570
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 41, Iss 5, Pp 443-449 (2021)
Appropriate biosafety management is a critical component of the successful operation of laboratory animal facilities. Standardizing the management of laboratory animal facilities, protecting staff, and strengthening the construction of laboratory ani
Externí odkaz:
https://doaj.org/article/9774a81a5d9b48239ed1282c267c0f05
Multi-view clustering is an important machine learning task for multi-media data, encompassing various domains such as images, videos, and texts. Moreover, with the growing abundance of graph data, the significance of multi-view graph clustering (MVG
Externí odkaz:
http://arxiv.org/abs/2410.22983
With the increasing prevalence of graph-structured data, multi-view graph clustering has been widely used in various downstream applications. Existing approaches primarily rely on a unified message passing mechanism, which significantly enhances clus
Externí odkaz:
http://arxiv.org/abs/2410.03596
Autor:
Zhou, Rong, Yuan, Zhengqing, Yan, Zhiling, Sun, Weixiang, Zhang, Kai, Li, Yiwei, Ye, Yanfang, Li, Xiang, He, Lifang, Sun, Lichao
Biomedical image segmentation is crucial for accurately diagnosing and analyzing various diseases. However, Convolutional Neural Networks (CNNs) and Transformers, the most commonly used architectures for this task, struggle to effectively capture lon
Externí odkaz:
http://arxiv.org/abs/2409.11299
Autor:
Yan, Zhiling, Sun, Weixiang, Zhou, Rong, Yuan, Zhengqing, Zhang, Kai, Li, Yiwei, Liu, Tianming, Li, Quanzheng, Li, Xiang, He, Lifang, Sun, Lichao
Medical image segmentation and video object segmentation are essential for diagnosing and analyzing diseases by identifying and measuring biological structures. Recent advances in natural domain have been driven by foundation models like the Segment
Externí odkaz:
http://arxiv.org/abs/2408.03286
Autor:
Sun, Weixiang, You, Xiaocao, Zheng, Ruizhe, Yuan, Zhengqing, Li, Xiang, He, Lifang, Li, Quanzheng, Sun, Lichao
Generative models hold promise for revolutionizing medical education, robot-assisted surgery, and data augmentation for medical AI development. Diffusion models can now generate realistic images from text prompts, while recent advancements have demon
Externí odkaz:
http://arxiv.org/abs/2407.08944
Vision Transformers (ViTs) have achieved remarkable performance in various image classification tasks by leveraging the attention mechanism to process image patches as tokens. However, the high computational and memory demands of ViTs pose significan
Externí odkaz:
http://arxiv.org/abs/2406.18051