×
验证码:
换一张
忘记密码?
记住我
×
登录
中文版
|
English
中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
登录
注册
ALL
ORCID
题名
作者
学科领域
关键词
文献类型
出处
收录类别
出版者
发表日期
存缴日期
资助项目
学科门类
学习讨论厅
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
新闻&公告
在结果中检索
研究单元&专题
中国科学院计算技术... [33]
作者
Huang, Qin... [9]
Liu, Min [6]
Sun, Sheng [6]
Shan, Shig... [4]
Xu, Qianqi... [4]
Chang, Hon... [3]
更多...
文献类型
期刊论文 [33]
发表日期
2025 [5]
2024 [9]
2023 [7]
2022 [4]
2021 [5]
2020 [2]
更多...
语种
英语 [33]
出处
IEEE TRANS... [4]
IEEE TRANS... [4]
IEEE TRANS... [4]
IEEE TRANS... [3]
IEEE TRANS... [3]
IEEE TRANS... [3]
更多...
资助项目
National N... [8]
National N... [5]
Youth Inno... [5]
Fundamenta... [4]
National K... [4]
National N... [4]
更多...
收录类别
SCI [33]
资助机构
×
知识图谱
CSpace
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共33条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
期刊影响因子升序
期刊影响因子降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
题名升序
题名降序
WOS被引频次升序
WOS被引频次降序
Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 4, 页码: 2460-2474
作者:
Cao, Tianwei
;
Xu, Qianqian
;
Yang, Zhiyong
;
Ma, Zhanyu
;
Huang, Qingming
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2025/06/25
Estimation
Imputation
Training data
IP networks
Accuracy
Supervised learning
Recommender systems
Noise
Data models
Computer science
Recommender system
collaborative filtering
debias
noise-robust learning
pairwise ranking loss
FedCRAC: Improving Federated Classification Performance on Long-Tailed Data via Classifier Representation Adjustment and Calibration
期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2025, 卷号: 24, 期号: 1, 页码: 482-499
作者:
Li, Xujing
;
Sun, Sheng
;
Liu, Min
;
Ren, Ju
;
Jiang, Xuefeng
;
He, Tianliu
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/06/25
Tail
Data models
Training
Computational modeling
Servers
Accuracy
Feature extraction
Data heterogeneity
federated learning
long-tailed data
representation alignment
Unified Multi-Modal Image Synthesis for Missing Modality Imputation
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2025, 卷号: 44, 期号: 1, 页码: 4-18
作者:
Zhang, Yue
;
Peng, Chengtao
;
Wang, Qiuli
;
Song, Dan
;
Li, Kaiyan
;
Zhou, S. Kevin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2025/06/25
Image synthesis
Imputation
Medical diagnostic imaging
Task analysis
Streams
Training
Feature extraction
Medical image synthesis
multi-modal images
data imputation
IGU-Aug: Information-Guided Unsupervised Augmentation and Pixel-Wise Contrastive Learning for Medical Image Analysis
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2025, 卷号: 44, 期号: 1, 页码: 154-164
作者:
Quan, Quan
;
Yao, Qingsong
;
Zhu, Heqin
;
Zhou, S. Kevin
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2025/06/25
Contrastive learning
Task analysis
Data augmentation
Semantics
Training
Feature extraction
Image segmentation
data augmentation
few-shot learning
landmark detection
segmentation
Enhancing Federated Learning Robustness Using Locally Benignity-Assessable Bayesian Dropout
期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2025, 卷号: 20, 页码: 2464-2479
作者:
Xue, Jingjing
;
Sun, Sheng
;
Liu, Min
;
Li, Qi
;
Xu, Ke
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2025/06/25
Bayes methods
Training
Servers
Data models
Robustness
Distributed databases
Uplink
Convergence
Computational modeling
Recurrent neural networks
Federated learning
Byzantine attack
dropout defense
robust aggregation
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 16
作者:
Liu, Qingxiang
;
Sun, Sheng
;
Liang, Yuxuan
;
Xu, Xiaolong
;
Liu, Min
;
Bilal, Muhammad
;
Wang, Yuwei
;
Li, Xujing
;
Zheng, Yu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2025/06/25
Predictive models
Concept drift
Correlation
Forecasting
Computational modeling
Data models
Optimization
Adaptation models
Urban areas
Training
Traffic flow forecasting
federated learning
concept drift
online learning
graph convolution
Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 6, 页码: 789-800
作者:
He, Yuting
;
Chen, Yiqiang
;
Yang, XiaoDong
;
Yu, Hanchao
;
Huang, Yi-Hua
;
Gu, Yang
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/12/06
Data models
Training
Servers
Collaborative work
Adaptation models
Convergence
Feature extraction
Federated learning
knowledge distillation
non-identically distributed
deep learning
catastrophic forgetting
Age of Information Based Client Selection for Wireless Federated Learning With Diversified Learning Capabilities
期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 12, 页码: 14934-14945
作者:
Dong, Liran
;
Zhou, Yiqing
;
Liu, Ling
;
Qi, Yanli
;
Zhang, Yu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2025/06/25
Training
Computational modeling
Servers
Data models
Wireless communication
Mobile computing
Accuracy
Federated learning (FL)
age of information (AoI)
client selection
fairness scheduling
FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence
期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 10, 页码: 9368-9382
作者:
Wu, Zhiyuan
;
Sun, Sheng
;
Wang, Yuwei
;
Liu, Min
;
Xu, Ke
;
Wang, Wen
;
Jiang, Xuefeng
;
Gao, Bo
;
Lu, Jinda
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2024/12/06
Computer architecture
Training
Servers
Computational modeling
Data models
Adaptation models
Performance evaluation
Distributed architecture
edge computing
personalized federated learning
knowledge distillation
communication efficiency
FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 6, 页码: 952-966
作者:
Wu, Zhiyuan
;
Sun, Sheng
;
Wang, Yuwei
;
Liu, Min
;
Pan, Quyang
;
Jiang, Xuefeng
;
Gao, Bo
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2024/12/06
Computational modeling
Data models
Training
Servers
Multitasking
Adaptation models
Optimization
Distributed optimization
federated learning
knowledge distillation
multi-access edge computing
multi-task learning