验证码:

换一张

忘记密码？记住我

取消登录

统一认证登录

取消

中文版 | English

上海科技大学知识管理系统

ShanghaiTech University Knowledge Management System

统一认证登录登录注册

图片搜索

粘贴图片网址

首页
研究单元&专题
作者
文献类型
学科分类
知识图谱
知识整合
学习讨论厅

在结果中检索

研究单元&专题

信息科学与技术学院 [34]

生物医学工程学院 [6]

创意与艺术学院 [3]

作者

文献类型

会议论文 [20]

期刊论文 [19]

发表日期

出处

IEEE TRANS... [3]

LECTURE NO... [3]

GLOBECOM 2... [2]

PROCEEDING... [2]

PROCEEDING... [2]

12TH INTER... [1]

语种

资助项目

National N... [2]

ShanghaiTe... [2]

Beijing Na... [1]

Chinese In... [1]

General Re... [1]

Government... [1]

资助机构

收录类别

EI [39]

SCI [9]

状态

知识图谱

KMS

浏览/检索结果: 共39条，第1-10条

帮助

已选(0)清除条数/页：排序方式：
	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
	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：156/3 \| 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：45/1 \| 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
	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：55/2 \| 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
	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
	Spatial enhanced multi-level alignment learning for text-image person re-identification with coupled noisy labels 期刊论文 MULTIMEDIA SYSTEMS, 2025, 卷号: 31, 期号: 2 作者: Jiacheng Zhao(赵佳程); Haojie Che(车浩杰); Yongxi Li(李泳锡) Adobe PDF(1617Kb) \| 收藏 \| 浏览/下载：79/4 \| 提交时间：2025/03/12 Adversarial machine learning Contrastive Learning Feature extraction Image coding Image denoising Natural language processing systems Optical character recognition Query languages Structured Query Language Cross-modal Cross-modal alignment Language description Multilevels Natural languages Noisy correspondence Noisy labels Person re identifications Text images Text-image person re-identification
	无权访问的条目会议论文作者: Liu, Qianyu(刘芊渝); Li, Xinran(李欣然); Du, Xiaocong(杜晓聪); Li, Quan(李权) Adobe PDF(6100Kb) \| 收藏 \| 浏览/下载：24/5 \| 提交时间：2025/03/12
	DropNaE: Alleviating irregularity for large-scale graph representation learning 期刊论文 NEURAL NETWORKS, 2025, 卷号: 183 作者: Liu, Xin; Xiong, Xunbin; Yan, Mingyu; Xue, Runzhen; Pan, Shirui Adobe PDF(1802Kb) \| 收藏 \| 浏览/下载：127/2 \| 提交时间：2024/12/27 Adversarial machine learning Federated learning Graph algorithms Knowledge graph Algorithm on graph representation learning Efficient large-scale graph representation learning Graph neural networks Graph representation Irregularity Large-scales Neural networks trainings Real-world graphs Real-world scenario
	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
	A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer’s Disease Sub-type Diagnosis 会议论文 LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Marrakesh, Morocco, October 10, 2024 - October 10, 2024 作者: Liu, Yuxiao; Liu, Mianxin; Zhang, Yuanwang; Sun, Kaicong; Shen, Dinggang 收藏 \| 浏览/下载：106/0 \| 提交时间：2025/01/10 Adversarial machine learning Contrastive Learning Cost benefit analysis Data acquisition Diagnosis Large datasets Alzheimer Alzheimer’s disease Clinical guideline Explanation analyze High costs Multi-modality Multi-modality fusion Multi-stage framework Multi-stages Multiple modalities

首页
上一页
1
2
3
4
下一页
末页

首页
研究单元产出分布图
收录类型分布图
论文引用排行
作者
文献类型
学科分类
使用帮助
联系我们

条目量27210
全文量25986
访问量16407780
下载量1099538

Copyright © 上海科技大学版权所有沪ICP备13001436号-1 沪公网安备 31011502006855号

地址邮编: 上海市浦东新区华夏中路393号
电话: 86-21-20685191