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作品数：27被引量：22H指数：1
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相关领域：自动化与计算机技术更多>>
相关作者：王戟唐晋韬魏登萍王挺张子丁更多>>
相关机构：国防科学技术大学电子科技大学中国农业大学更多>>
相关期刊：《Computer Modeling in Engineering & Sciences》《Chinese Journal of Applied Linguistics》《Chinese Medical Journal》《Computers, Materials & Continua》更多>>
相关基金：国家自然科学基金国家重点基础研究发展计划国家社会科学基金更多>>
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Self-calibrated region-level regression for crowd counting
《Science China(Information Sciences)》2025年第4期383-384,共2页Jiawen ZHU Wenda ZHAO You HE Huchuan LU 
supported by National Natural Science Foundation of China(Grant Nos.62176038,U1903215)。
Accurate crowd counting in natural images has become increasingly attractive owing to its numerous real-world applications,e.g.,crowd analysis and video surveillance.Despite significant progress in crowd counting[1,2]...
关键词：crowd counting natural images point annotations smoothed estimate density mapwhere video surveillancedespite self calibrated gaussian kernel crowd counting challenges such 
Comparative analysis of manual and programmed annotations for crowd assessment and classification using artificial intelligence
《Data Science and Management》2024年第4期340-348,共9页Amrish Thakur Shwetank Arya 
The authors acknowledge that this research work was supported through project number UCS&T/R&D-09/19–20/17533 titled“An Intelligent Computational Model for Crowd Demonstration and Risk Analysis during Spiritual Events in Haridwar’by the Uttarakhand Council for Science and Technology(UCOST),India.”。
Funding agencies play a pivotal role in bolstering research endeavors by allocating financial resources for data collection and analysis.However,the lack of detailed information regarding the methods employed for data...
关键词：Data annotation Automatic automation Crowd management Super Annotate 
Towards sparse sensor annotations:Uncertaintybased active transfer learning for airfoil flow field prediction
《Chinese Journal of Aeronautics》2024年第12期87-98,共12页Yunyang ZHANG Xiaohu ZHENG Zhiqiang GONG Wen YAO Xiaoyu ZHAO 
supported by the National Natural Science Foundation of China(No.92371206).
Deep learning has been widely applied in surrogate modeling for airfoil flow field prediction.The success of deep learning relies heavily on large-scale,high-quality labeled samples.However,acquiring labeled samples w...
关键词：Active transfer learning Uncertainty analysis Surrogate model Flow fields Sparse annotations 
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
《Machine Intelligence Research》2024年第2期318-330,共13页Yu-Cheng Chou Bowen Li Deng-Ping Fan Alan Yuille Zongwei Zhou 
supported by the Lustgarten Foundation for Pancreatic Cancer Research and the Patrick J.McGovern Foundation Award.
Creating large-scale and well-annotated datasets to train AI algorithms is crucial for automated tumor detection and localization.However,with limited resources,it is challenging to determine the best type of annotati...
关键词：Weak annotation detection localization segmentation COLONOSCOPY ABDOMEN 
Local saliency consistency-based label inference for weakly supervised salient object detection using scribble annotations
《CAAI Transactions on Intelligence Technology》2024年第1期239-249,共11页Shuo Zhao Peng Cui Jing Shen Haibo Liu 
Recently,weak supervision has received growing attention in the field of salient object detection due to the convenience of labelling.However,there is a large performance gap between weakly supervised and fully superv...
关键词：label inference salient object detection weak supervision 
ETCM v2.0:An update with comprehensive resource and rich annotations for traditional Chinese medicine被引量：16
《Acta Pharmaceutica Sinica B》2023年第6期2559-2571,共13页Yanqiong Zhang Xin Li Yulong Shi Tong Chen Zhijian Xu Ping Wang Meng Yu Wenjia Chen Bing Li Zhiwei Jing Hong Jiang Lu Fu Wenjing Gao Yanhua Jiang Xia Du Zipeng Gong Weiliang Zhu Hongjun Yang Haiyu Xu 
supported by Key project at the National Natural Science Foundation of China(Grant Nos.81830111 and 82030122,China);the Innovation Project of China Academy of Chinese Medical Sciences(Grant No.CI2021A04907,China)。
Existing traditional Chinese medicine(TCM)-related databases are still insufficient in data standardization,integrity and precision,and need to be updated urgently.Herein,an Encyclopedia of Traditional Chinese Medicin...
关键词：Traditional Chinese medicine Database Target identification Network visualization New drug research and development Molecular mechanism Quality marker Drug repurposing 
Corpus of Carbonate Platforms with Lexical Annotations for Named Entity Recognition
《Computer Modeling in Engineering & Sciences》2023年第4期91-108,共18页Zhichen Hu Huali Ren Jielin Jiang Yan Cui Xiumian Hu Xiaolong Xu 
supported by the National Natural Science Foundation of China under Grant No.42050102;the National Science Foundation of China(Grant No.62001236);the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(Grant No.20KJA520003).
An obviously challenging problem in named entity recognition is the construction of the kind data set of entities.Although some research has been conducted on entity database construction,the majority of them are dire...
关键词：Named entity recognition carbonate platform corpus entity extraction english literature detection 
deCS:A Tool for Systematic Cell Type Annotations of Single-cell RNA Sequencing Data among Human Tissues
《Genomics, Proteomics & Bioinformatics》2023年第2期370-384,共15页Guangsheng Pei Fangfang Yan Lukas M.Simon Yulin Dai Peilin Jia Zhongming Zhao 
supported by National Institutes of Health grants(Grant Nos.R01LM012806R,I01DE030122,and R01DE029818);support from Cancer Prevention and Research Institute of Texas(Grant Nos.CPRIT RP180734 and RP210045),United States.
Single-cell RNA sequencing(scRNA-seq)is revolutionizing the study of complex and dynamic cellular mechanisms.However,cell type annotation remains a main challenge as it largely relies on a priori knowledge and manual ...
关键词：Cell type-specific enrichment analysis scRNA-seq Cell type annotation Trait-cell type association Cell typemarkergene 
Weakly supervised action anticipation without object annotations
《Frontiers of Computer Science》2023年第2期101-110,共10页Yi ZHONG Jia-Hui PAN Haoxin LI Wei-Shi ZHENG 
supported partially by the National Natural Science Foundation of China(NSFC)(Grant Nos.U1911401 and U1811461);Guangdong NSF Project(2020B1515120085,2018B030312002);Guangzhou Research Project(201902010037);Research Projects of Zhejiang Lab(2019KD0AB03);the Key-Area Research and Development Program of Guangzhou(202007030004).
Anticipating future actions without observing any partial videos of future actions plays an important role in action prediction and is also a challenging task.To obtain abundant information for action anticipation,som...
关键词：action anticipation weakly supervised learning relation modelling graph convolutional network 
Improving the genome and proteome annotations of the marine model diatom Thalassiosira pseudonana using a proteogenomics strategy
《Marine Life Science & Technology》2023年第1期102-115,共14页Xiao-Huang Chen Ming-Kun Yang Yuan-Yuan Li Zhang-Xian Xie Shu-Feng Zhang Mats Töpel Shady A.Amin Lin Lin Feng Ge Da-Zhi Wang 
This work was partially supported by research grants from the National Natural Science Foundation of China(Project No.42030404 and 41425021);the Ministry of Science and Technology of the People's Republic of China(Project No.2015CB954003);D-ZW was also supported by the Ten Thousand Talents Program for leading talents in science and technological innovation.
Diatoms are unicellular eukaryotic phytoplankton that account for approximately 20%of global carbon fixation and 40%of marine primary productivity;thus,they are essential for global carbon biogeochemical cycling and c...
关键词：Marine diatoms Thalassiosira pseudonana PROTEOME PROTEOGENOMICS 
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