中国科学院计算技术研究所机构知识库

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发表日期：2023

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	Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 12, 页码: 12068-12080 作者:  Zhang, Yuxin;  Wang, Jindong;  Chen, Yiqiang;  Yu, Han;  Qin, Tao 收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20 Unsupervised anomaly detection  time series  self-supervised learning  memory network
	Generalizing to Unseen Domains: A Survey on Domain Generalization 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 8, 页码: 8052-8072 作者:  Wang, Jindong;  Lan, Cuiling;  Liu, Chang;  Ouyang, Yidong;  Qin, Tao;  Lu, Wang;  Chen, Yiqiang;  Zeng, Wenjun;  Yu, Philip S. 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Domain generalization  domain adaptation  transfer learning  out-of-distribution generalization
	MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12 作者:  Chen, Yiqiang;  Lu, Wang;  Qin, Xin;  Wang, Jindong;  Xie, Xing 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Federated learning (FL)  healthcare  knowledge distillation (KD)  personalization  transfer learning
	Memory-Guided Multi-View Multi-Domain Fake News Detection 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 7, 页码: 7178-7191 作者:  Zhu, Yongchun;  Sheng, Qiang;  Cao, Juan;  Nan, Qiong;  Shu, Kai;  Wu, Minghui;  Wang, Jindong;  Zhuang, Fuzhen 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Fake news detection  multi-domain learning  multi-view learning  memory bank
	Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 2, 页码: 2118-2132 作者:  Zhang, Yuxin;  Chen, Yiqiang;  Wang, Jindong;  Pan, Zhiwen 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 Anomaly detection  Predictive models  Data models  Autoregressive processes  Image reconstruction  Forecasting  Computational modeling  Unsupervised anomaly detection  multi-sensor time series  convolutional autoencoder  attention based BiLSTM