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Benchmarking spatial clustering methods with spatially resolved transcriptomics data 期刊论文
NATURE METHODS, 2024, 页码: 25
作者:  Yuan, Zhiyuan;  Zhao, Fangyuan;  Lin, Senlin;  Zhao, Yu;  Yao, Jianhua;  Cui, Yan;  Zhang, Xiao-Yong;  Zhao, Yi
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
An accelerated scheme for solving inhomogeneous elasticity in phase-field method and application to Ni-based multi-component alloys 期刊论文
MATERIALS TODAY COMMUNICATIONS, 2024, 卷号: 38, 页码: 11
作者:  Liu, Zhenzhi;  Zhao, Yan;  Shang, Genfeng;  Lu, Xiao-Gang;  Liu, Yao
收藏  |  浏览/下载：6/0  |  提交时间：2024/05/20
Accelerated scheme  Phase-field method  Inhomogeneous elasticity  Multi-component  
Streamlining spatial omics data analysis with Pysodb 期刊论文
NATURE PROTOCOLS, 2023, 页码: 72
作者:  Lin, Senlin;  Zhao, Fangyuan;  Wu, Zihan;  Yao, Jianhua;  Zhao, Yi;  Yuan, Zhiyuan
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Development of a multiple convolutional neural network-facilitated diagnostic screening program for immunofluorescence images of IgA nephropathy and idiopathic membranous nephropathy 期刊论文
CLINICAL KIDNEY JOURNAL, 2023, 页码: 11
作者:  Xia, Peng;  Lv, Zhilong;  Wen, Yubing;  Zhang, Baichuan;  Zhao, Xuesong;  Zhang, Boyao;  Wang, Ying;  Cui, Haoyuan;  Wang, Chuanpeng;  Zheng, Hua;  Qin, Yan;  Sun, Lijun;  Ye, Nan;  Cheng, Hong;  Yao, Li;  Zhou, Hua;  Zhen, Junhui;  Hu, Zhao;  Zhu, Weiguo;  Zhang, Fa;  Li, Xuemei;  Ren, Fei;  Chen, Limeng
收藏  |  浏览/下载：9/0  |  提交时间：2023/12/04
convolutional neural network  idiopathic membranous nephropathy  IgA nephropathy  immunofluorescence  
Multi-Projection Fusion and Refinement Network for Salient Object Detection in 360 degrees Omnidirectional Image 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Cong, Runmin;  Huang, Ke;  Lei, Jianjun;  Zhao, Yao;  Huang, Qingming;  Kwong, Sam
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
360? omnidirectional image  cube-unfolding (CU)  dynamic weighting  filtration and refinement (FR)  salient object detection (SOD)  
Does Thermal Really Always Matter for RGB-T Salient Object Detection? 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 6971-6982
作者:  Cong, Runmin;  Zhang, Kepu;  Zhang, Chen;  Zheng, Feng;  Zhao, Yao;  Huang, Qingming;  Kwong, Sam
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Task analysis  Decoding  Semantics  Object detection  Location awareness  Lighting  Feature extraction  RGB-T images  salient object detection  global illumination estimation  semantic constraint provider  localization and complementation  
香山开源高性能RISC-V处理器设计与实现 期刊论文
计算机研究与发展, 2023, 卷号: 60, 期号: 3, 页码: 476
作者:  王凯帆;  徐易难;  余子濠;  唐丹;  陈国凯;  陈熙;  勾凌睿;  胡轩;  金越;  李乾若;  李昕;  蔺嘉炜;  刘彤;  刘志刚;  王华强;  王诲喆;  张传奇;  张发旺;  张林隽;  张紫飞;  张梓悦;  赵阳洋;  周耀阳;  邹江瑞;  蔡晔;  郇丹丹;  李祖松;  赵继业;  何伟;  孙凝晖;  包云岗
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
RISC-V  high performance processor  open source  chip design  agile development  RISC-V  高性能处理器  开源  芯片设计  敏捷开发  
Insights into the role of long non-coding RNAs in DNA methylation mediated transcriptional regulation 期刊论文
FRONTIERS IN MOLECULAR BIOSCIENCES, 2022, 卷号: 9, 页码: 23
作者:  Yang, Zhen;  Xu, Feng;  Teschendorff, Andrew E.;  Zhao, Yi;  Yao, Lei;  Li, Jian;  He, Yungang
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
lncRNA  circRNA  DNA methylation  histone modification  transcriptional regulation  regulatory network  
A Deep Learning Method Based on Two-Stage CNN Framework for Recognition of Chinese Reservoirs with Sentinel-2 Images 期刊论文
WATER, 2022, 卷号: 14, 期号: 22, 页码: 21
作者:  Zhao, Guodongfang;  Yao, Ping;  Fu, Li;  Zhang, Zhibin;  Lu, Shanlong;  Long, Tengfei
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
two-stage CNN framework  recognition of reservoirs  remote sensing  deep learning  Sentinel-2  object detection  
Global-and-Local Collaborative Learning for Co-Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Cong, Runmin;  Yang, Ning;  Li, Chongyi;  Fu, Huazhu;  Zhao, Yao;  Huang, Qingming;  Kwong, Sam
收藏  |  浏览/下载：23/0  |  提交时间：2022/12/07
Semantics  Task analysis  Feature extraction  Convolution  Object detection  Computational modeling  Collaborative work  3-D convolution  co-salient object detection (CoSOD)  global correspondence modeling (GCM)  local correspondence modeling (LCM)