×
验证码:
换一张
忘记密码?
记住我
×
统一认证登录
登录
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
ALL
ORCID
题名
作者
发表日期
关键词
文献类型
DOI
出处
存缴日期
收录类别
出版者
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
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 [24]
物质科学与技术学院 [3]
大科学中心 [2]
更多...
作者
石远明 [13]
周勇 [5]
文鼎柱 [3]
吴幼龙 [2]
刘志 [2]
刘宇 [2]
更多...
文献类型
期刊论文 [15]
会议论文 [13]
发表日期
2025 [3]
2024 [8]
2023 [4]
2022 [4]
2021 [3]
2020 [1]
更多...
出处
IEEE TRANS... [3]
HE JISHU/N... [2]
12TH INTER... [1]
2016 IEEE ... [1]
2018 IEEE ... [1]
2019 IEEE ... [1]
更多...
语种
英语 [25]
中文 [2]
资助项目
National N... [2]
Shanghai S... [2]
China Asso... [1]
Key Labora... [1]
Ministry o... [1]
NSF["CNS-2... [1]
更多...
资助机构
收录类别
EI [27]
SCI [10]
CPCI [6]
CPCI-S [5]
SCIE [3]
CSCD [1]
更多...
×
知识图谱
KMS
反馈留言
浏览/检索结果:
共28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
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
WOS被引频次升序
WOS被引频次降序
期刊影响因子升序
期刊影响因子降序
题名升序
题名降序
Coded Distributed Computing with Pre-set Data Placement and Output Functions Assignment
期刊论文
IEEE TRANSACTIONS ON INFORMATION THEORY, 2025, 卷号: PP, 期号: 99, 页码: 2195-2217
作者:
Yuhan Wang
;
Youlong Wu
Adobe PDF(4150Kb)
|
收藏
|
浏览/下载:121/2
|
提交时间:2025/01/13
Coded transmission
Coding
Communication load
Data output
Data placement
Distributed computing systems
Function assignment
Heterogeneous
Optimality
Output functions
A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL ADVANCES IN BIO AND MEDICAL SCIENCES, ICCABS 2023, Norman, OK, United states, December 11, 2023 - December 13, 2023
作者:
Kasparian, Armen
;
Cao, Guohua
;
Feng, Wu-Chun
收藏
|
浏览/下载:20/0
|
提交时间:2025/03/28
Contrastive Learning
Deep learning
Federated learning
Image denoising
Transfer learning
Computed tomography
Computed tomography scan
Data parallel
De-noising
Deep learning
Distributed data
Distributed data parallel
Dose computed tomographies
Low dose
Transfer learning
Clustered Federated Multi-Task Learning: A Communication-and-Computation Efficient Sparse Sharing Approach
期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2025, 卷号: PP, 期号: 99
作者:
Yuhan Ai
;
Qimei Chen
;
Guangxu Zhu
;
Dingzhu Wen
;
Hao Jiang
Adobe PDF(3720Kb)
|
收藏
|
浏览/下载:51/3
|
提交时间:2025/03/10
Adversarial machine learning
Benchmarking
Contrastive Learning
Federated learning
Multi-task learning
Transfer learning
Clusterings
Communication resources
Distributed data
Federated multi-task learning
Model pruning
Multitask learning
Performance
Personalized model
Sparse sharing
Sparsity ratios
Federated Low-Rank Adaptation for Large Language Model Fine-Tuning Over Wireless Networks
会议论文
GLOBECOM 2024 - 2024 IEEE GLOBAL COMMUNICATIONS CONFERENCE, Cape Town, South Africa, 8-12 Dec. 2024
作者:
收藏
|
浏览/下载:43/0
|
提交时间:2025/03/18
Edge computing
Frequency allocation
Integer programming
Learning to rank
Mixed-integer linear programming
Problem oriented languages
Resource allocation
Critical challenges
Device scheduling
Distributed data
Fine tuning
Fine-tuning methods
Global models
Language model
Learning performance
On-line algorithms
Radio resources
Research on distributed data acquisition software for high frame rate area detectors
期刊论文
HE JISHU/NUCLEAR TECHNIQUES, 2024, 卷号: 47, 期号: 10, 页码: 106-114
作者:
Shang, Kunlin
;
Li, Zhengheng
;
Ju, Xudong
;
Zhou, Yue
;
Huai, Ping
Adobe PDF(1056Kb)
|
收藏
|
浏览/下载:240/4
|
提交时间:2024/11/22
Data assimilation
Digital storage
Gluing
Area detectors
Core detectors
Data acquisition softwares
Data receiving
Distributed data acquisition
Event-building
Experimental stations
High frame rate
Multi-nodes
Performance
A distributed software system for integrating data-intensive imaging methods in a hard X-ray nanoprobe beamline at the SSRF
期刊论文
JOURNAL OF SYNCHROTRON RADIATION, 2024, 卷号: 31
作者:
Zhang, Peicheng
;
Jiang, Zhisen
;
He, Yan
;
Li, Aiguo
Adobe PDF(5771Kb)
|
收藏
|
浏览/下载:220/5
|
提交时间:2024/09/20
distributed software system
synchrotron radiation big data
ptychography
parallel computing
GNN-Aided Distributed GAN with Partially Observable Social Graph
会议论文
IEEE WCNC 2024, Dubai, United Arab Emirates, 21-24 April 2024
作者:
Chen, Ming
;
Wang, Shangshang
;
Zhang, Tianyi
;
Shao, Ziyu
;
Yang, Yang
Adobe PDF(12034Kb)
|
收藏
|
浏览/下载:347/2
|
提交时间:2024/03/14
Budget control
Deep learning
E-learning
Energy utilization
Graph neural networks
Ubiquitous computing
Distributed data
Distributed implementation
Edge computing
Edge-based
End-devices
Energy budgets
Graph neural networks
Limited energies
Social graphs
Social ties
Federated Learning With Energy Harvesting Devices
期刊论文
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2024, 卷号: 8, 期号: 1, 页码: 190 - 204
作者:
Li Zeng
;
Dingzhu Wen
;
Guangxu Zhu
;
Changsheng You
;
Qimei Chen
Adobe PDF(6134Kb)
|
收藏
|
浏览/下载:524/4
|
提交时间:2023/09/22
Channel state information
Data privacy
Dynamic programming
Energy harvesting
Information management
Iterative methods
Job analysis
Resource allocation
Computational modelling
Convergence
Convergence rates
Data utilities
Device selection
Distributed resource allocation
Federated learning
Resource management
Sub-carriers
Task analysis
A Mixing-Accelerated Primal-Dual Proximal Algorithm for Distributed Nonconvex Optimization
会议论文
PROCEEDINGS OF THE AMERICAN CONTROL CONFERENCE, Toronto, ON, Canada, July 10, 2024 - July 12, 2024
作者:
Zichong, O.
;
Qiu, Chenyang
;
Wang, Dandan
;
Jie, L.
Adobe PDF(216Kb)
|
收藏
|
浏览/下载:379/43
|
提交时间:2024/10/11
Chebyshev polynomials
Clutter (information theory)
Data fusion
Information fusion
Lagrange multipliers
Optimal systems
Polynomials
Augmented Lagrangians
Cost-function
Decentralised
Distributed mixing
Multiagent networks
Nonconvex
Nonconvex optimization
Nonconvex-optimization
Primal-dual
Proximal algorithm
Over-the-Air Federated Graph Learning
期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 卷号: PP, 期号: 99
作者:
Zixin Wang
;
Yong Zhou
;
Yuanming Shi
Adobe PDF(27324Kb)
|
收藏
|
浏览/下载:356/1
|
提交时间:2024/10/14
Graph neural networks
Reinforcement learning
Data distributed
Federated graph learning
Graph data
Graph neural networks
Message-passing
Messaging passing
Model complexes
Over the airs
Over-the-air computation
Reinforcement learnings
首页
上一页
1
2
3
下一页
末页