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检索条件"机构=CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology"
951 条 记 录,以下是531-540 订阅
Multi-scale Contrastive Learning for Gastroenteroscopy Classification
Multi-scale Contrastive Learning for Gastroenteroscopy Class...
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Annual IEEE Symposium on Computer-Based Medical Systems
作者: Dan Li Xuechen Li Zhibin Peng Wenting Chen Linlin Shen Guangyao Wu Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology ShenZhen University Shenzhen China City University of Hong Kong Hong Kong SAR China Shenzhen Institute of Artificial Intelligence & Robotics for Society Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University General Hospital
In gastroenteroscopy image analysis, numerous CADs demonstrate that deep learning aids doctors' diagnosis. The shapes and sizes of the lesions are varied. And in the clinic, the dataset appears to be data imbalanc...
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Local Global Relational network for Facial Action Units Recognition
Local Global Relational Network for Facial Action Units Reco...
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International Conference on Automatic Face and Gesture Recognition
作者: Xuri Ge Pengcheng Wan Hu Han Joemon M. Jose Zhilong Ji Zhongqin Wu Xiao Liu School of Computing Science University of Glasgow UK TAL Education Group Beijing China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China
Many existing facial action units (AUs) recognition approaches often enhance the AU representation by combining local features from multiple independent branches, each corresponding to a different AU. However, such mu... 详细信息
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Graph convolutional networks using heat kernel for semi-supervised learning
arXiv
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arXiv 2020年
作者: Xu, Bingbing Shen, Huawei Cao, Qi Cen, Keting Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China
Graph convolutional networks gain remarkable success in semi-supervised learning on graph-structured data. The key to graph-based semi-supervised learning is capturing the smoothness of labels or features over nodes e... 详细信息
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Semantic models for the first-stage retrieval: a comprehensive review
arXiv
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arXiv 2021年
作者: Guo, Jiafeng Cai, Yinqiong Fan, Yixing Sun, Fei Zhang, Ruqing Cheng, Xueqi CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences NO. 6 Kexueyuan South Road Haidian District Beijing100190 China Alibaba Group Beijing100102 China
Multi-stage ranking pipelines have been a practical solution in modern search systems, where the first-stage retrieval is to return a subset of candidate documents, and latter stages attempt to re-rank those candidate... 详细信息
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A Hybrid Fault Diagnosis Method for Rolling Bearing Based on Attention and CNN  5
A Hybrid Fault Diagnosis Method for Rolling Bearing Based on...
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5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023
作者: Wang, Songtao Liu, Qianlong Li, Jun Liang, Kun Cai, Hui Tian, Hangwei Shandong Hi-Speed Construction Management Group Co. Ltd. Jinan China Shandong Scicom Information and Economy Research Institute Co. Ltd. Jinan China Shandong Hi-Speed Group Linteng Highway Co. Ltd. Jinan China School of Qilu Transportation Shandong University Jinan China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China
In the field of mechanical manufacturing, rolling bearings are important core components. To achieve stable rotational operation, improving diagnostic accuracy has become an urgent issue. In this paper, a hybrid fault... 详细信息
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A DoS-attack Resilient Control Approach for AIOT-enabled Systems
A DoS-attack Resilient Control Approach for AIOT-enabled Sys...
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Artificial Intelligence of Things and Systems (AIoTSys), International Conference on
作者: Xiaoya Cao Zhenya Chen Weisheng Liu Yuanlong Liu Wenting Wang Xin Wang Ming Yang Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Research Institute Jinan China
This paper presents a novel controller design for dealing with the challenges posed by Denial-of-Service (DoS) attacks in the context of Artificial Intelligence of Things (AIOT). The proposed design employs a predicti...
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Camo: Capturing the Modularity by End-to-End Models for Symbolic Regression
SSRN
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SSRN 2024年
作者: Liu, Jingyi Wu, Min Yu, Lina Li, Weijun Li, Wenqiang Li, Yanjie Hao, Meilan Deng, Yusong Wei, Shu Annlab Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Center of Materials Science and Optoelectronics Engineering School of Integrated Circuits University of Chinese Academy of Sciences Beijing100049 China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing100083 China School of Information and Electrical Engineering Hebei University of Engineering Handan056038 China
Modularity serves as an omnipresent paradigm across the spectrum of natural phenomena, societal constructs, and human pursuits, spanning from biological systems to corporate hierarchies and further. Within the realm o... 详细信息
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ICTNET at TREC 2019 Deep Learning Track  28
ICTNET at TREC 2019 Deep Learning Track
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28th Text REtrieval Conference, TREC 2019
作者: Chen, Jiangui Cai, Yinqiong Jiang, Haoquan University of Chinese Academy of Sciences Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology China
We participated in the Deep Learning Track at TREC 2019. We built a ranking system which combines a search component based on BM25 and a semantic matching component using pretraining knowledge. Our best run achieves N... 详细信息
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ICTNET at Trec 2019 Incident Streams Track  28
ICTNET at Trec 2019 Incident Streams Track
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28th Text REtrieval Conference, TREC 2019
作者: Guangsheng, Kuang Kun, Zhang Jiabao, Zhang Xin, Zheng University of Chinese Academy of Sciences Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology China
Social medial become our public ways to share our information in our lives. Crisis management via social medial is becoming indispensable for its tremendous information. While deep learning shows surprising outcome in... 详细信息
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ICTNET at TREC 2019 News Track  28
ICTNET at TREC 2019 News Track
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28th Text REtrieval Conference, TREC 2019
作者: Ding, Yuyang Lian, Xiaoying Zhou, Houquan Liu, Zhaoge Ding, Hanxing Hou, Zhongni University of Chinese Academy of Sciences Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology China
This paper describes our work in the background linking task and entity ranking task in TREC 2018 News Track. We explore four methods in background linking task and two methods in entity ranking task. All of our metho...
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