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检索条件"机构=The Key Laboratory of Intelligent Information Processing Institute of Computing Technology"
3390 条 记 录,以下是1221-1230 订阅
排序:
Machine learning prediction of network dynamics with privacy protection
arXiv
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arXiv 2022年
作者: Xia, Xin Su, Yansen Lü, Linyuan Zhang, Xingyi Lai, Ying-Cheng Zhang, Hai-Feng The Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Mathematical Science Anhui University Hefei230601 China The Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Artificial Intelligence Anhui University Hefei230601 China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu610054 China School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States
Predicting network dynamics based on data, a problem with broad applications, has been studied extensively in the past, but most existing approaches assume that the complete set of historical data from the whole netwo... 详细信息
来源: 评论
Emotion-aware Contrastive Learning for Facial Action Unit Detection
Emotion-aware Contrastive Learning for Facial Action Unit De...
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International Conference on Automatic Face and Gesture Recognition
作者: Xuran Sun Jiabei Zeng Shiguang Shan Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China University of Chinese Academy of Sciences Beijing China Peng Cheng Laboratory Shenzhen China
Current AU datasets lack sufficiency and diversity because annotating facial action units (AUs) is laborious. The lack of labeled AU datasets bottlenecks the training of a discriminative AU detector. Compared with AUs... 详细信息
来源: 评论
Deep Learning based Performance Testing for Analog Integrated Circuits
arXiv
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arXiv 2024年
作者: Cao, Jiawei Guo, Chongtao Li, Hao Wang, Zhigang Wang, Houjun Li, Geoffrey Ye School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Guangdong Shenzhen518110 China Guangdong Key Laboratory of Intelligent Information Processing College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom
In this paper, we propose a deep learning based performance testing framework to minimize the number of required test modules while guaranteeing the accuracy requirement, where a test module corresponds to a combinati... 详细信息
来源: 评论
Dual-Channel Recalibration and Feature Fusion Method for Liver Image Classification  17th
Dual-Channel Recalibration and Feature Fusion Method for Liv...
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17th International Conference on intelligent computing, ICIC 2021
作者: Niu, Tingting Zhang, Xiaolong Deng, Chunhua Chen, Ruoqin School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan China Hubei Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan University of Science and Technology Wuhan China Tianyou Hospital Wuhan University of Science and Technology Wuhan China
Aiming at the problem of poor medical image recognition accuracy caused by the large individual differences in liver pathological images and the large single feature size, a liver image classification method based on ... 详细信息
来源: 评论
Block Sparse Vector Codes for Ultra-Reliable and Low-Latency Short-Packet Transmission
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IEEE Transactions on Communications 2025年
作者: Zhang, Yanfeng Zhu, Xu Liu, Yujie Fan, Xi'an Guan, Yong Liang Wong, M. L. Dennis Lau, Vincent K. N. Dongguan University of Technology School of Electrical Engineering and Intelligentization Dongguan China Harbin Institute of Technology School of Information Science and Technology Shenzhen518055 China Guangxi Normal University Guangxi Key Laboratory of Brain Inspired Computing and Intelligent Chips Guilin541001 China Shenzhen Municipal Key Laboratory of AIoT Communications Shenzhen518055 China Nanyang Technological University Continental-NTU Corporate Lab Singapore Dongguan University of Technology School of Computer Science and Technology Dongguan China Newcastle University School of Engineering Newcastle upon TyneNE1 7RU United Kingdom The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong
Sparse vector coding (SVC) is a promising short-packet transmission method for ultra reliable low latency communication (URLLC) in next-generation communication systems. In this paper, a block SVC (BSVC) based short-p... 详细信息
来源: 评论
OpenAUC: towards AUC-oriented open-set recognition  22
OpenAUC: towards AUC-oriented open-set recognition
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Proceedings of the 36th International Conference on Neural information processing Systems
作者: Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang SKLOIS Institute of Information Engineering CAS and School of Cyber Security University of Chinese Academy of Sciences Key Lab. of Intelligent Information Processing Institute of Computing Tech. CAS School of Computer Science and Tech. University of Chinese Academy of Sciences Alibaba Group School of Cyber Science and Tech. Shenzhen Campus Sun Yat-sen University and SKLOIS Institute of Information Engineering CAS School of Computer Science and Tech. University of Chinese Academy of Sciences and Key Lab. of Intelligent Information Processing Institute of Computing Tech. CAS and BDKM University of Chinese Academy of Sciences and Peng Cheng Laboratory
Traditional machine learning follows a close-set assumption that the training and test set share the same label space. While in many practical scenarios, it is inevitable that some test samples belong to unknown class...
来源: 评论
A Novel Dynamic Group Signature with Membership Privacy
A Novel Dynamic Group Signature with Membership Privacy
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IEEE Conference on Dependable and Secure computing
作者: Junqing Lu Rongxin Qi Jian Shen School of Computer and Software Nanjing University of Information Science & Technology Nanjing China Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing Fuzhou University Fuzhou China
Group signature is a cryptography primitive that has been widely researched. It strikes a balance between digital signature and the user's demand for anonymity. A valid member in the group can generate a signature... 详细信息
来源: 评论
A Novel Gradient Descent Least Squares (GDLS) Algorithm for Efficient SMV Gridless Line Spectrum Estimation with Applications in Tomographic SAR Imaging
arXiv
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arXiv 2022年
作者: Shi, Ruizhe Zhang, Zhe Qiu, Xiaolan Ding, Chibiao School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100190 China Suzhou Aerospace Information Research Institute Suzhou Key Laboratory of Intelligent Aerospace Big Data Application Technology Jiangsu Suzhou215123 China CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System Beijing100190 China
This paper presents a novel efficient method for gridless line spectrum estimation problem with single snapshot, namely the gradient descent least squares (GDLS) method. Conventional single snapshot (a.k.a. single mea... 详细信息
来源: 评论
A Profile Matching Scheme based on Private Set Intersection for Cyber-Physical-Social Systems
A Profile Matching Scheme based on Private Set Intersection ...
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IEEE Conference on Dependable and Secure computing
作者: Yalian Qian Xueya Xia Jian Shen School of Computer and Software Nanjing university of information science and technology Nanjing China Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing Fuzhou University Fujian China
The cyber-physical-social system (CPSS) is a three-layer system framework that combines the human society on the basis of the cyber-physical system (CPS), so that the human society, the cyber world and the physical wo... 详细信息
来源: 评论
OTKGE: multi-modal knowledge graph embeddings via optimal transport  22
OTKGE: multi-modal knowledge graph embeddings via optimal tr...
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Proceedings of the 36th International Conference on Neural information processing Systems
作者: Zongsheng Cao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang SKLOIS Institute of Information Engineering CAS and School of Cyber Security University of Chinese Academy of Sciences Key Lab. of Intelligent Information Processing Institute of Computing Tech. CAS School of Computer Science and Tech. University of Chinese Academy of Sciences Alibaba Group School of Cyber Science and Tech. Shenzhen Campus Sun Yat-sen University and SKLOIS Institute of Information Engineering CAS School of Computer Science and Tech. University of Chinese Academy of Sciences and Key Lab. of Intelligent Information Processing Institute of Computing Tech. CAS and BDKM University of Chinese Academy of Sciences and Peng Cheng Laboratory
Multi-modal knowledge graph embeddings (KGE) have caught more and more attention in learning representations of entities and relations for link prediction tasks. Different from previous uni-modal KGE approaches, multi...
来源: 评论