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检索条件"机构=Key Lab of Scientific Computing and Intelligent Information Processing"
565 条 记 录,以下是191-200 订阅
排序:
SASA-Net: A spatial-aware self-attention mechanism for building protein 3D structure directly from inter-residue distances
SASA-Net: A spatial-aware self-attention mechanism for build...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Tiansu Gong Fusong Ju Shiwei Sun Dongbo Bu Chinese Academy of Sciences Key Lab of Intelligent Information Processing Institute of Computing Technology Beijing China University of Chinese Academy of Sciences Beijing China Zhongke Big Data Academy Zhengzhou Henan China
Protein structure prediction has achieved considerable progresses mainly due to the increased accuracy of inter-residue distance estimation and the application of deep learning *** of the distance-based ab initio pred... 详细信息
来源: 评论
Visual Alignment Constraint for Continuous Sign Language Recognition
Visual Alignment Constraint for Continuous Sign Language Rec...
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International Conference on Computer Vision (ICCV)
作者: Yuecong Min Aiming Hao Xiujuan Chai Xilin Chen Key Lab 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 Agricultural Information Institute Chinese Academy of Agricultural Sciences Beijing China
Vision-based Continuous Sign Language Recognition (CSLR) aims to recognize unsegmented signs from image streams. Overfitting is one of the most critical problems in CSLR training, and previous works show that the iter... 详细信息
来源: 评论
VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Named Entity Recognition
arXiv
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arXiv 2024年
作者: Bian, Junyi Zhai, Weiqi Huang, Xiaodi Zheng, Jiaxuan Zhu, Shanfeng School of Computer Science Fudan University Shanghai200433 China Institute of Science and Technology for Brain-Inspired Intelligence Fudan University China Ministry of Education Shanghai200433 China MOE Frontiers Center for Brain Science Fudan University Shanghai200433 China Zhangjiang Fudan International Innovation Center Shanghai200433 China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai200433 China School of Computing and Mathematics Charles Sturt University AlburyNSW2640 Australia
Prevalent solution for BioNER involves using representation learning techniques coupled with sequence labeling. However, such methods are inherently task-specific, demonstrate poor generalizability, and often require ... 详细信息
来源: 评论
APPLICATIONS OF KNOWLEDGE GRAPHS FOR THE FOOD SCIENCE AND INDUSTRY
arXiv
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arXiv 2021年
作者: Min, Weiqing Liu, Chunlin Xu, Leyi Jiang, Shuqiang Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China Soochow University Jiangsu Suzhou215021 China
The deployment of various networks (e.g., Internet of Things (IoT) and mobile networks), databases (e.g., nutrition tables and food compositional databases) and social media (e.g., Instagram and Twitter) generates hug... 详细信息
来源: 评论
Contrastive Learning for Robust Android Malware Familial Classification
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IEEE Transactions on Dependable and Secure computing 2022年 1-14页
作者: Wu, Yueming Dou, Shihan Zou, Deqing Yang, Wei Qiang, Weizhong Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai China University of Texas at Dallas Dallas USA National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China
Due to its open-source nature, Android operating system has been the main target of attackers to exploit. Malware creators always perform different code obfuscations on their apps to hide malicious activities. Feature... 详细信息
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Mobile Crowd-Sensing System Based on Participant Selection  15th
Mobile Crowd-Sensing System Based on Participant Selection
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15th International Conference on Green, Pervasive, and Cloud computing, GPC 2020
作者: Tu, Chunyu Han, Lei Wang, Leye Yu, Zhiyong College of Mathematics and Computer Science Fuzhou University Fuzhou China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China Key Laboratory of Spatial Data Mining and Information Sharing Ministry of Education Fuzhou China Key Lab of High Confidence Software Technologies Peking University Beijing China
Mobile Crowdsensing (MCS) is often accompanied by various adverse objectives when performing data collection, which makes it difficult to collect accurate data of the entire target area with low cost. Therefore, how t... 详细信息
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Node transfer with graph contrastive learning for class-imbalanced node classification
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Neural Networks 2025年 190卷
作者: Yangding Li Xiangchao Zhao Yangyang Zeng Hao Feng Jiawei Chai Hao Xie Shaobin Fu Shichao Zhang College of Information Science and Engineering Hunan Normal University Changsha China Hunan Provincial Laboratory of Intelligent Computing and Language Information Processing Hunan Normal University Changsha China Guangxi Key Lab of Multi-Source Information Mining and Security Guangxi Normal University Guilin China
In graph representation learning, the class imbalance problem is a significant challenge that has received much attention from academics. Although current approaches have shown promising results, they have not adequat...
来源: 评论
PSpan: Mining frequent subnets of petri nets
arXiv
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arXiv 2021年
作者: Lu, Ruqian Zhang, Shuhan Academy of Mathematics and Systems Science Key Lab of MADIS Chineses Academy Science China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China
This paper proposes for the first time an algorithm PSpan for mining frequent complete subnets from a set of Petri nets. We introduced the concept of complete subnets and the net graph representation. PSpan transforms... 详细信息
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Research on Petri Net System Parallel Subnet Partitioning Completeness Theory and Algorithm
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Wuhan University Journal of Natural Sciences 2019年 第3期24卷 205-217页
作者: LI Wenjing LI Songzhao LU Jianbo School of Logistics Management and Engineering Nanning Normal University Guangxi Higher-Education Key Laboratory of Scientific Computing and Intelligent Information Processing Nanning Normal University College of Computer and Information Engineering Nanning Normal University
In order to solve the parallel algorithm of Petri net system with concurrent function, so as to achieve the parallel control and simulation operation of this system, this paper proposes the function partition complete... 详细信息
来源: 评论
Clean-label Backdoor Attacks on Video Recognition Models
Clean-Label Backdoor Attacks on Video Recognition Models
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University School of Computing and Information Systems The University of Melbourne
Deep neural networks (DNNs) are vulnerable to backdoor attacks which can hide backdoor triggers in DNNs by poisoning training data. A backdoored model behaves normally on clean test images, yet consistently predicts a... 详细信息
来源: 评论