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Data Cleansing for GANs
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-01-29 DOI: 10.1109/tnnls.2025.3529540
Naoyuki Terashita, Hiroki Ohashi, Satoshi Hara
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引用次数: 0
Protecting Your Attention during Distributed Graph Learning: Efficient Privacy-preserving Federated Graph Attention Network
IF 6.8 1区 计算机科学
IEEE Transactions on Information Forensics and Security Pub Date : 2025-01-29 DOI: 10.1109/tifs.2025.3536612
Jinhao Zhou, Jun Wu, Jianbing Ni, Yuntao Wang, Yanghe Pan, Zhou Su
{"title":"Protecting Your Attention during Distributed Graph Learning: Efficient Privacy-preserving Federated Graph Attention Network","authors":"Jinhao Zhou, Jun Wu, Jianbing Ni, Yuntao Wang, Yanghe Pan, Zhou Su","doi":"10.1109/tifs.2025.3536612","DOIUrl":"https://doi.org/10.1109/tifs.2025.3536612","url":null,"abstract":"","PeriodicalId":13492,"journal":{"name":"IEEE Transactions on Information Forensics and Security","volume":"54 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Vertical Federated Unlearning via Backdoor Certification
IF 8.1 2区 计算机科学
IEEE Transactions on Services Computing Pub Date : 2025-01-29 DOI: 10.1109/tsc.2025.3536312
Mengde Han, Tianqing Zhu, Lefeng Zhang, Huan Huo, Wanlei Zhou
{"title":"Vertical Federated Unlearning via Backdoor Certification","authors":"Mengde Han, Tianqing Zhu, Lefeng Zhang, Huan Huo, Wanlei Zhou","doi":"10.1109/tsc.2025.3536312","DOIUrl":"https://doi.org/10.1109/tsc.2025.3536312","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"53 1","pages":""},"PeriodicalIF":8.1,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143057118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Off-grid Channel Estimation for Orthogonal Delay-Doppler Division Multiplexing Using Grid Refinement and Adjustment
IF 10.4 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2025-01-29 DOI: 10.1109/twc.2025.3532459
Yaru Shan, Akram Shafie, Jinhong Yuan, Fanggang Wang
{"title":"Off-grid Channel Estimation for Orthogonal Delay-Doppler Division Multiplexing Using Grid Refinement and Adjustment","authors":"Yaru Shan, Akram Shafie, Jinhong Yuan, Fanggang Wang","doi":"10.1109/twc.2025.3532459","DOIUrl":"https://doi.org/10.1109/twc.2025.3532459","url":null,"abstract":"","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"129 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cooperative UAVs Placement Optimization for Best Multistatic Time-of-Arrival Localization in 5G Networks
IF 10.4 1区 计算机科学
IEEE Transactions on Wireless Communications Pub Date : 2025-01-29 DOI: 10.1109/twc.2025.3532411
Yuan Zhang, Rui Wang, Erwu Liu
{"title":"Cooperative UAVs Placement Optimization for Best Multistatic Time-of-Arrival Localization in 5G Networks","authors":"Yuan Zhang, Rui Wang, Erwu Liu","doi":"10.1109/twc.2025.3532411","DOIUrl":"https://doi.org/10.1109/twc.2025.3532411","url":null,"abstract":"","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"17 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Completely-Stealthy and Energy-Stealthy Sensor Attacks With Constrained Channels: Existence and Design
IF 6.8 1区 计算机科学
IEEE Transactions on Automatic Control Pub Date : 2025-01-29 DOI: 10.1109/tac.2025.3535910
Kaijing Jin, Dan Ye, Tian-Yu Zhang
{"title":"Completely-Stealthy and Energy-Stealthy Sensor Attacks With Constrained Channels: Existence and Design","authors":"Kaijing Jin, Dan Ye, Tian-Yu Zhang","doi":"10.1109/tac.2025.3535910","DOIUrl":"https://doi.org/10.1109/tac.2025.3535910","url":null,"abstract":"","PeriodicalId":13201,"journal":{"name":"IEEE Transactions on Automatic Control","volume":"30 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Restricted-Learning Network With Observation Credibility Inference for Few-Shot Degradation Modeling
IF 5.6 2区 计算机科学
IEEE Transactions on Automation Science and Engineering Pub Date : 2025-01-29 DOI: 10.1109/tase.2024.3519317
Ying Wang, Fangyu Li, Di Wang, Wei Qin
{"title":"A Restricted-Learning Network With Observation Credibility Inference for Few-Shot Degradation Modeling","authors":"Ying Wang, Fangyu Li, Di Wang, Wei Qin","doi":"10.1109/tase.2024.3519317","DOIUrl":"https://doi.org/10.1109/tase.2024.3519317","url":null,"abstract":"","PeriodicalId":51060,"journal":{"name":"IEEE Transactions on Automation Science and Engineering","volume":"30 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Low Probability Detection Constrained Underwater Acoustic Communication: A Comprehensive Review
IF 11.2 2区 计算机科学
IEEE Communications Magazine Pub Date : 2025-01-29 DOI: 10.1109/mcom.001.2400008
Songzuo Liu, Mohsin Abrar Khan, Muhammad Bilal, Habib Hussain Zuberi
{"title":"Low Probability Detection Constrained Underwater Acoustic Communication: A Comprehensive Review","authors":"Songzuo Liu, Mohsin Abrar Khan, Muhammad Bilal, Habib Hussain Zuberi","doi":"10.1109/mcom.001.2400008","DOIUrl":"https://doi.org/10.1109/mcom.001.2400008","url":null,"abstract":"","PeriodicalId":55030,"journal":{"name":"IEEE Communications Magazine","volume":"29 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Label Propagation with Nuclear Norm Maximization for Visual Domain Adaptation
IF 10.6 1区 计算机科学
IEEE Transactions on Image Processing Pub Date : 2025-01-29 DOI: 10.1109/tip.2025.3533199
Wei Wang, Hanyang Li, Cong Wang, Chao Huang, Zhengming Ding, Feiping Nie, Xiaochun Cao
{"title":"Deep Label Propagation with Nuclear Norm Maximization for Visual Domain Adaptation","authors":"Wei Wang, Hanyang Li, Cong Wang, Chao Huang, Zhengming Ding, Feiping Nie, Xiaochun Cao","doi":"10.1109/tip.2025.3533199","DOIUrl":"https://doi.org/10.1109/tip.2025.3533199","url":null,"abstract":"","PeriodicalId":13217,"journal":{"name":"IEEE Transactions on Image Processing","volume":"58 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advances in Set Function Learning: A Survey of Techniques and Applications
IF 16.6 1区 计算机科学
ACM Computing Surveys Pub Date : 2025-01-29 DOI: 10.1145/3715905
Jiahao Xie, Guangmo Tong
{"title":"Advances in Set Function Learning: A Survey of Techniques and Applications","authors":"Jiahao Xie, Guangmo Tong","doi":"10.1145/3715905","DOIUrl":"https://doi.org/10.1145/3715905","url":null,"abstract":"Set function learning has emerged as a crucial area in machine learning, addressing the challenge of modeling functions that take sets as inputs. Unlike traditional machine learning that involves fixed-size input vectors where the order of features matters, set function learning demands methods that are invariant to permutations of the input set, presenting a unique and complex problem. This survey provides a comprehensive overview of the current development in set function learning, covering foundational theories, key methodologies, and diverse applications. We categorize and discuss existing approaches, focusing on deep learning approaches, such as DeepSets and Set Transformer based methods, as well as other notable alternative methods beyond deep learning, offering a complete view of current models. We also introduce various applications and relevant datasets, such as point cloud processing and multi-label classification, highlighting the significant progress achieved by set function learning methods in these domains. Finally, we conclude by summarizing the current state of set function learning approaches and identifying promising future research directions, aiming to guide and inspire further advancements in this promising field.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"53 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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