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	Progressive self-supervised learning: A pre-training method for crowd counting 期刊论文 PATTERN RECOGNITION LETTERS, 2025, 卷号: 188, 页码: 148-154 作者: Gu, Yao; Zheng, Zhe; Wu, Yingna; Xie, Guangping; Ni, Na Adobe PDF(2000Kb) \| 收藏 \| 浏览/下载：119/2 \| 提交时间：2025/02/12 Adversarial machine learning Contrastive Learning Federated learning Crowd counting Dataset construction Feature representation Images classification Learning methods Learning process Modeling performance Pre-training Supervised learning approaches Training methods
	GSURE-Based Unsupervised Deep Equilibrium Model Learning for Large-Scale Channel Estimation 会议论文 GLOBECOM 2024 - 2024 IEEE GLOBAL COMMUNICATIONS CONFERENCE, Cape Town, South Africa, 8-12 Dec. 2024 作者: Haotian Tian; Lixiang Lian Adobe PDF(1279Kb) \| 收藏 \| 浏览/下载：50/2 \| 提交时间：2025/03/18 Adversarial machine learning Channel estimation Contrastive Learning Deep learning Mean square error Risk analysis Risk assessment Risk perception Supervised learning Unsupervised learning Deep equilibrium model Equilibrium modelling Generalized stein unbiased risk estimate Ground truth Large-scale channel estimation Large-scales Learn+ Learning-based methods Model learning Unbiased risk estimates
	Self-Supervised Machine Learning Framework for Online Container Security Attack Detection 期刊论文 ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS, 2024, 卷号: 19, 期号: 3 作者: Tunde-Onadele, Olufogorehan; Lin, Yuhang; Gu, Xiaohui; He, Jingzhu; Latapie, Hugo Adobe PDF(22391Kb) \| 收藏 \| 浏览/下载：249/3 \| 提交时间：2024/10/25 Adversarial machine learning Contrastive Learning Federated learning Semi-supervised learning Unsupervised learning Additional key word and phrasesperformance debugging Attack detection Causal analysis Hybrid learning Key words Learning frameworks Learning schemes Microservice Security attacks Supervised machine learning
	Harmonizing Generalization and Personalization in Federated Prompt Learning 会议论文 INTERNATIONAL CONFERENCE ON MACHINE LEARNING, Vienna, Austria, July 21, 2024 - July 27, 2024 作者: Cui, Tianyu; Li, Hongxia; Wang, Jingya; Shi, Ye Adobe PDF(854Kb) \| 收藏 \| 浏览/下载：245/6 \| 提交时间：2024/10/11 Adversarial machine learning Contrastive Learning Self-supervised learning Transfer learning Visual languages Data heterogeneity Domain levels Generalisation Generalization capability Generalization capacity Heterogeneous data Knowledge guidances Language model Modeling abilities Personalizations
	Semi-Supervised Learning of Visual Attributes for Automated Assessment of Lung Nodule Malignancy 会议论文 2024 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), Athens, Greece, 27-30 May 2024 作者: Liyun Chen; Linlin Yao; Qian Wang; Zhong Xue Adobe PDF(4167Kb) \| 收藏 \| 浏览/下载：210/5 \| 提交时间：2024/08/26 Adversarial machine learning Contrastive Learning Federated learning Prediction models Self-supervised learning Semi-supervised learning Automated assessment Classification tasks Interpretability Learning models Lung nodule Malignancy classification Prediction modelling Semi-supervised Semi-supervised learning Visual attributes
	Weakly supervised learning for pattern classification in serial femtosecond crystallography 期刊论文 OPTICS EXPRESS, 2023, 卷号: 31, 期号: 20, 页码: 32909-32924 作者: Xie, Jianan; Liu, Ji; Zhang, Chi; Chen, Xihui; Huai, Ping Adobe PDF(46123Kb) \| 收藏 \| 浏览/下载：264/0 \| 提交时间：2024/01/19 Classification (of information) Crystal structure Data handling Diffraction patterns Electrons Free electron lasers Interferometry Supervised learning X ray crystallography Crystals structures High-resolution structures Labeled dataset Laser facilities Machine learning methods Patterns classification Serial femtosecond crystallographies Supervised methods Weakly supervised learning X-ray free electron lasers
	Exploiting Contextual Objects and Relations for 3D Visual Grounding 会议论文 ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), null,New Orleans,LA, DEC 10-16, 2023 作者: Yang, Li; Yuan, Chunfeng; Zhang, Ziqi; Qi, Zhongang; Xu, Yan 收藏 \| 浏览/下载：153/0 \| 提交时间：2024/07/15 3D modeling Adversarial machine learning Contrastive Learning Electric grounding Natural language processing systems Object detection Supervised learning Three dimensional computer graphics Visual languages 3D scenes Contextual information Detection networks Modular network Natural languages Objects detection Real world environments Scene-based Target object Visual objects
	NCCR: Neighbor and Cluster Consistency Regularization for Improving Graph Node Classification 会议论文 THE 34TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, null,null,ELECTR NETWORK, OCT 31-NOV 02, 2022 作者: Yang, Feiming; Lai, Yurui; Wang, Leshan; Fan, Rui Adobe PDF(315Kb) \| 收藏 \| 浏览/下载：401/0 \| 提交时间：2022/11/19 graph neural networks regularization semi-supervised learning node classification Computer vision Graph algorithms Graph structures Machine learning Amount of information Graph neural networks Homophily Learning neural networks Machine-learning Node classification Regularisation Semi-supervised Semi-supervised learning State-of-the-art performance
	Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis with Imbalanced Modalities 期刊论文 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 8 作者: Xiangmin Han; Xiaoyan Fei; Jun Wang; Tao Zhou; Shihui Ying Adobe PDF(2213Kb) \| 收藏 \| 浏览/下载：362/0 \| 提交时间：2022/03/04 Computer aided diagnosis Computer aided instruction Knowledge management Neuroimaging Block diagonal Block-diagonal low-rank Classifier algorithms Doubly supervised transfer classifier Knowledge transfer Modality imbalance Single-modal Support vector machine plus Support vectors machine Transfer learning
	SHIL: Self-Supervised Hybrid Learning for Security Attack Detection in Containerized Applications 会议论文 PROCEEDINGS - 2022 IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING AND SELF-ORGANIZING SYSTEMS, ACSOS 2022, Virtual, Online, United states, September 19, 2022 - September 23, 2022 作者: Lin, Yuhang; Tunde-Onadele, Olufogorehan; Gu, Xiaohui; He, Jingzhu; Latapie, Hugo Adobe PDF(1358Kb) \| 收藏 \| 浏览/下载：385/0 \| 提交时间：2022/12/02 Errors Learning systems Supervised learning Attack detection Container security Data labelling Hybrid learning Hybrid machine learning Learning schemes Security attack detection Security attacks Supervised machine learning Unsupervised machine learning

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