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检索条件"机构=CAS Key Lab of Network Data Science and Technology Institute of Computing Technology"
369 条 记 录,以下是161-170 订阅
排序:
PGGAN: Improve Password Cover Rate Using the Controller
PGGAN: Improve Password Cover Rate Using the Controller
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2021 International Conference on Computer network Security and Software Engineering, CNSSE 2021
作者: Guo, Xiaozhou Liu, Yi Tan, Kaijun Jin, Min Lu, Huaxiang Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China University of Chinese Academy of Sciences Beijing100089 China Cas Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Beijing200031 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Lab Beijing100083 China
Password generation model based on generative adversarial network usually has the problem of high duplicate rate, which further leads to low cover rate. In this regard, we propose PGGAN model. It sets up an additional... 详细信息
来源: 评论
SAFL-Net: Semantic-Agnostic Feature Learning network with Auxiliary Plugins for Image Manipulation Detection
SAFL-Net: Semantic-Agnostic Feature Learning Network with Au...
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International Conference on Computer Vision (ICCV)
作者: Zhihao Sun Haoran Jiang Danding Wang Xirong Li Juan Cao Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences School of Mathematics Science University of Chinese Academy of Sciences MoE Key Lab of Data Engineering and Knowledge Engineering Renmin University of China
Since image editing methods in real world scenarios cannot be exhausted, generalization is a core challenge for image manipulation detection, which could be severely weakened by semantically related features. In this ...
来源: 评论
Sdgan: Improve Speech Enhancement Quality by Information Filter  6
Sdgan: Improve Speech Enhancement Quality by Information Fil...
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2021 6th International Symposium on Advances in Electrical, Electronics and Computer Engineering, ISAEECE 2021
作者: Guo, Xiaozhou Liu, Yi Mao, Wenyu Li, Jixing Li, Wenchang Gong, Guoliang Lu, Huaxiang Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China University of Chinese Academy of Sciences Beijing100089 China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Beijing200031 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Lab Beijing100083 China
The speech denoising model based on adversarial generative network has achieved better results than the traditional machine learning model. In this paper, for the short cut connection in the generator, we discuss its ... 详细信息
来源: 评论
Self-supervised GANs with label augmentation  21
Self-supervised GANs with label augmentation
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Proceedings of the 35th International Conference on Neural Information Processing Systems
作者: Liang Hou Huawei Shen Qi Cao Xueqi Cheng Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences and University of Chinese Academy of Sciences Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences and University of Chinese Academy of Sciences
Recently, transformation-based self-supervised learning has been applied to generative adversarial networks (GANs) to mitigate catastrophic forgetting in the discriminator by introducing a stationary learning environm...
来源: 评论
Online Midgress-Sensitive Traffic Allocation for Percentile Charging in Pracitcal CDNs
Online Midgress-Sensitive Traffic Allocation for Percentile ...
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International Workshop on Quality of Service
作者: Huiyou Zhan Haisheng Tan Huang Xu Chi Zhang Hongqiu Ni Pengfei Zhang Weihua Shan Xiang-Yang Li CAS Key Lab of Wireless-Optical Communications University of Science and Technology of China China USTC-Deqing Alpha Innovation Research Institute Zhejiang China Algorithm Innovation Lab Huawei Cloud Computing Technologies Co. Ltd. Xi'an China
The traffic bandwidth costs comprise a significant amount of operating expenditure in CDNs, induced by the traffic from the end-users to edge servers (edge cost) and from the edge to the center servers (midgress cost)...
来源: 评论
Signed bipartite graph neural networks
arXiv
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arXiv 2021年
作者: Huang, Junjie Shen, Huawei Cao, Qi Tao, Shuchang Cheng, Xueqi Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Signed networks are such social networks having both positive and negative links. A lot of theories and algorithms have been developed to model such networks (e.g., balance theory). However, previous work mainly focus... 详细信息
来源: 评论
Single node injection attack against graph neural networks
arXiv
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arXiv 2021年
作者: Tao, Shuchang Cao, Qi Shen, Huawei Huang, Junjie Wu, Yunfan Cheng, Xueqi Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Node injection attack on Graph Neural networks (GNNs) is an emerging and practical attack scenario that the attacker injects malicious nodes rather than modifying original nodes or edges to affect the performance of G... 详细信息
来源: 评论
One Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music Comment  28
One Comment from One Perspective: An Effective Strategy for ...
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28th International Conference on Computational Linguistics, COLING 2020
作者: Huo, Tengfei Liu, Zhiqiang Zhang, Jinchao Zhou, Jie CAS Key Lab of Network Data Science and Technology China Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences Beijing China Pattern Recognition Center WeChat AI Tencent Inc. China
The automatic generation of music comments is of great significance for increasing the popularity of music and the music platform’s activity. In human music comments, there exists high distinction and diverse perspec... 详细信息
来源: 评论
Toward the Understanding of Deep Text Matching Models for Information Retrieval
arXiv
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arXiv 2021年
作者: Chen, Lijuan Lan, Yanyan Pang, Liang Guo, Jiafeng Cheng, Xueqi Sogou Inc. Beijing China Institute for AI Industry Research Tsinghua University Beijing China Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China
Semantic text matching is a critical problem in information retrieval. Recently, deep learning techniques have been widely used in this area and obtained significant performance improvements. However, most models are ... 详细信息
来源: 评论
Uncertainty calibration for ensemble-based debiasing methods  21
Uncertainty calibration for ensemble-based debiasing methods
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Proceedings of the 35th International Conference on Neural Information Processing Systems
作者: Ruibin Xiong Yimeng Chen Liang Pang Xueqi Cheng Zhiming Ma Yanyan Lan CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences and University of Chinese Academy of Sciences and Baidu Inc. University of Chinese Academy of Sciences and Academy of Mathematics and Systems Science Chinese Academy of Sciences University of Chinese Academy of Sciences and Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences and University of Chinese Academy of Sciences Institute for AI Industry Research Tsinghua University
Ensemble-based debiasing methods have been shown effective in mitigating the reliance of classifiers on specific dataset bias, by exploiting the output of a bias-only model to adjust the learning target. In this paper...
来源: 评论