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	Multi-level sparse network lasso: Locally sparse learning with flexible sample clusters 期刊论文 NEUROCOMPUTING, 2025, 卷号: 635 作者: Fei, Luhuan; Wang, Xinyi; Wang, Jiankun; Sun, Lu; Zhang, Yuyao Adobe PDF(3646Kb) \| 收藏 \| 浏览/下载：68/1 \| 提交时间：2025/03/28 Adversarial machine learning Contrastive Learning Clusterings Features selection Group level Multi-level network lasso Multi-level networks Multilevels Sample clustering Sparse learning Sparse network Traditional learning
	Metabolomic profiles underlying gout flares: a prospective study of people with gout 期刊论文 RMD OPEN, 2025, 卷号: 11, 期号: 2 作者: Sun, Wenyan; Li, Rui; Dalbeth, Nicola; Cui, Lingling; Liu, Zhen Adobe PDF(8939Kb) \| 收藏 \| 浏览/下载：6/1 \| 提交时间：2025/05/20 Gout Inflammation Machine Learning
	Robust multi-view subspace clustering with missing data by aligning nonlinear manifolds 期刊论文 PATTERN RECOGNITION, 2025, 卷号: 161 作者: Mao, Zhan-Wang; Sun, Lu; Wu, Youlong Adobe PDF(1513Kb) \| 收藏 \| 浏览/下载：155/3 \| 提交时间：2025/01/10 Adversarial machine learning Contrastive Learning Data assimilation Spatio-temporal data High-dimensional Higher-dimensional Incomplete view Missing data Multi-view learning Multi-views Multiple views Nonlinear manifolds Subspace clustering
	Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data 期刊论文 MEDICAL IMAGE ANALYSIS, 2025, 卷号: 102 作者: Pistos, Michalis; Li, Gang; Lin, Weili; Shen, Dinggang; Rekik, Islem Adobe PDF(5127Kb) \| 收藏 \| 浏览/下载：44/1 \| 提交时间：2025/04/11 Adversarial machine learning Contrastive Learning Graph neural networks Prediction models Brain connectivity Connectomics Data scarcity Graph neural networks Learning frameworks Longitudinal connectomic dataset Multi-modal Multimodal brain graph evolution prediction Single-baseline Trajectory prediction
	Study of photoneutron reaction based on physics-informed Bayesian neural network 期刊论文 HE JISHU/NUCLEAR TECHNIQUES, 2025, 卷号: 48, 期号: 5 作者: Sun, Qiankun; Zhang, Yue; Hao, Zirui; Wang, Hongwei; Fan, Gongtao Adobe PDF(1674Kb) \| 收藏 \| 浏览/下载：3/1 \| 提交时间：2025/06/17 Nuclear reactions Bayesian neural network models Bayesian neural networks Gamma source Hidden layers Machine-learning Photoneutron reaction Reaction cross-section Shanghai laser electron gamma source Training sets
	Synergistic effects of confinement size and interface on anomalous ultrafast transport in nanofluidics 期刊论文 COMMUNICATIONS PHYSICS, 2025, 卷号: 8, 期号: 1 作者: Pu, Weiwen; Sun, Zhaoru Adobe PDF(2247Kb) \| 收藏 \| 浏览/下载：26/3 \| 提交时间：2025/05/06 Molecular dynamics Nanoclay Dynamics simulation Graphenes Machine learning Molecular origins Nanoslits Parallel transport Surface interactions Synergistic effect Transport behavior Ultra fast
	Structured IB: Improving Information Bottleneck with Structured Feature Learning 会议论文 PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, Philadelphia, PA, United states, February 25, 2025 - March 4, 2025 作者: Yang, Hanzhe; Wu, Youlong; We, Dingzhu Adobe PDF(486Kb) \| 收藏 \| 浏览/下载：2/1 \| 提交时间：2025/06/17 Cluster analysis Deep neural networks Digital arithmetic Document Clustering Feature learning Generalisation Images segmentations Information bottleneck Information bottleneck principles Interpretability Lagrangian methods Neural-networks Structured information Information Bottleneck Representation Learning Information Theory Machine Learning
	Noise Perception Self-Supervised Learning for Unsupervised Person Re-Identification 期刊论文 IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2025 作者: Jingya Wang; Jianfeng Wen; Weiping Ding; Chunlin Yu; Xiatian Zhu Adobe PDF(6772Kb) \| 收藏 \| 浏览/下载：54/2 \| 提交时间：2025/04/14 Adversarial machine learning Contrastive Learning Federated learning Unsupervised learning Domain adaptation Identification method Independent sources Learning paradigms Noise perception Person re identifications Self paced learning Tracking Tracklets Transfer learning
	Time-Domain 3D Electromagnetic Fields Estimation Based on Physics-Informed Deep Learning Framework 会议论文 2025 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE (DATE), Lyon, France, 31 March-2 April 2025 作者: Huifan Zhang; Yun Hu; Pingqiang Zhou 收藏 \| 浏览/下载：12/0 \| 提交时间：2025/05/26 Deep learning Digital elevation model Electromagnetic field theory Evanescent fields Integrated circuit design Mean square error Open source software Time domain analysis Circuit designs Electromagnetic simulation Electromagnetics Field estimations Learn+ Learning frameworks Machine-learning Physic-informed machine learning RF/microwave circuit Time domain
	Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks 期刊论文 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2025, 卷号: 24, 期号: 4, 页码: 3450-3464 作者: Wang, Zixin; Zhou, Yong; Shi, Yuanming; Letaief, Khaled B. Adobe PDF(12364Kb) \| 收藏 \| 浏览/下载：92/1 \| 提交时间：2025/02/28 Adversarial machine learning Data privacy Differential privacy Edge computing Frequency allocation Integer programming Learning to rank Network embeddings Resource allocation Edge server Fine tuning Foundation models Intelligence services Learning performance On-line algorithms Parameter-efficient fine-tuning Pre-trained foundation model Resources allocation Upper Bound

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