×
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 [11]
物质科学与技术学院 [1]
数学科学研究所 [1]
更多...
作者
何旭明 [1]
Yongjin Le... [1]
罗喜良 [1]
虞晶怡 [1]
宋富 [1]
张松阳 [1]
更多...
文献类型
会议论文 [8]
期刊论文 [4]
发表日期
2025 [1]
2024 [2]
2023 [3]
2022 [1]
2021 [3]
2020 [1]
更多...
出处
2023 IEEE/... [1]
2023 IEEE/... [1]
ADVANCES I... [1]
CRYSTAL GR... [1]
IEEE COMPU... [1]
IEEE JOURN... [1]
更多...
语种
英语 [11]
资助项目
National K... [1]
National N... [1]
National N... [1]
National N... [1]
National R... [1]
资助机构
收录类别
EI [11]
CPCI-S [4]
SCIE [3]
SCI [2]
CPCI [1]
SSCI [1]
更多...
状态
已发表 [10]
×
知识图谱
KMS
反馈留言
浏览/检索结果:
共12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
WOS被引频次升序
WOS被引频次降序
题名升序
题名降序
发表日期升序
发表日期降序
作者升序
作者降序
期刊影响因子升序
期刊影响因子降序
LacGCL: Lightweight message masking with linear attention and cross-view interaction graph contrastive learning for recommendation
期刊论文
INFORMATION PROCESSING AND MANAGEMENT, 2025, 卷号: 62, 期号: 1
作者:
Jia, Haohe
;
Hou, Peng
;
Zhou, Yong
;
Zhu, Hongbin
;
Chai, Hongfeng
Adobe PDF(1539Kb)
|
收藏
|
浏览/下载:357/2
|
提交时间:2024/11/08
Adversarial machine learning
Federated learning
Computational costs
Cross-view
Dense matrix
Graph neural networks
Graph structures
High-accuracy
Interaction graphs
Learning methods
Matrix operations
Recommendation accuracy
Drift: Leveraging Distribution-based Dynamic Precision Quantization for Efficient Deep Neural Network Acceleration
会议论文
PROCEEDINGS - DESIGN AUTOMATION CONFERENCE, San Francisco, CA, United states, June 23, 2024 - June 27, 2024
作者:
Liu, Lian
;
Xu, Zhaohui
;
He, Yintao
;
Wang, Ying
;
Li, Huawei
Adobe PDF(809Kb)
|
收藏
|
浏览/下载:140/3
|
提交时间:2024/12/27
Neural network models
Computational costs
Dynamic precision
Evaluation results
Language model
Model size
Neural network model
Neural-networks
Online scheduling
Quantisation
Quantization algorithms
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
会议论文
PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, Vancouver, BC, Canada, February 20, 2024 - February 27, 2024
作者:
Xu, Fan
;
Zhao, Yu
;
Wu, Bingzhe
;
Huang, Yueshan
;
Ren, Qin
Adobe PDF(1229Kb)
|
收藏
|
浏览/下载:404/67
|
提交时间:2024/04/26
Artificial intelligence
Learning systems
Computational burden
Computational costs
Fusion modules
Immune receptors
Learning approach
Learning problem
Multi-modal
Multi-modal fusion
Multiple-instance learning
Time points
Knowledge-Aware Federated Active Learning with Non-IID Data
会议论文
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), Paris, France, 1-6 Oct. 2023
作者:
Yu-Tong Cao
;
Ye Shi
;
Baosheng Yu
;
Jingya Wang
;
Dacheng Tao
Adobe PDF(4166Kb)
|
收藏
|
浏览/下载:254/57
|
提交时间:2024/03/29
Learning systems
Data privacy
Costs
Annotations
Federated learning
Computational modeling
Distributed databases
NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results
会议论文
IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, Vancouver, BC, Canada, June 18, 2023 - June 22, 2023
作者:
Zhang, Yulun
;
Zhang, Kai
;
Chen, Zheng
;
Li, Yawei
;
Timofte, Radu
Adobe PDF(3407Kb)
|
收藏
|
浏览/下载:366/0
|
提交时间:2024/01/19
Computer vision
Optical resolving power
Computational costs
Design solutions
High quality
High-resolution images
High-resolution output
Image super resolutions
Lower resolution
Network design
Performance
Prior information
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
会议论文
2023 IEEE/ACM 45TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS, ICSE-COMPANION, null,Melbourne,AUSTRALIA, MAY 14-20, 2023
作者:
Sun, Zhensu
;
Du, Xiaoning
;
Song, Fu
;
Wang, Shangwen
;
Ni, Mingze
Adobe PDF(2725Kb)
|
收藏
|
浏览/下载:721/234
|
提交时间:2023/08/28
Code completions
Computational costs
Computing resource
Energy
Floating point operations
High costs
Language model
Neural code
Rejection mechanisms
In Silico Generation of a Topologically Diverse Zeolite-Templated Carbon Library
期刊论文
CRYSTAL GROWTH & DESIGN, 2022, 卷号: 22, 期号: 1
作者:
Wu, Jiasheng
;
Zhang, Kexin
;
Yoo, Hyeonsuk
;
Lee, Yongjin
Adobe PDF(5728Kb)
|
收藏
|
浏览/下载:386/1
|
提交时间:2021/12/17
Carbon
Carbonization
Computational efficiency
Porous materials
Topology
Carbon structures
Computational costs
Computational studies
Hypothetical structures
In-silico
Porous carbon materials
Synthesised
Zeolite structure
Zeolite template
Zeolite templated carbons
Pain-FL: Personalized Privacy-Preserving Incentive for Federated Learning
期刊论文
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021, 卷号: 39, 期号: 12, 页码: 3805-3820
作者:
Peng Sun
;
Haoxuan Che
;
Zhibo Wang
;
Yuwei Wang
;
Tao Wang
Adobe PDF(2542Kb)
|
收藏
|
浏览/下载:227/0
|
提交时间:2021/12/10
Privacy
Biological system modeling
Servers
Costs
Contracts
Computational modeling
Data models
Federated learning
differential privacy
incentive mechanism
contracts
Dynamic Grained Encoder for Vision Transformers
会议论文
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, Virtual, Online, December 6, 2021 - December 14, 2021
作者:
Song, Lin
;
Zhang, Songyang
;
Liu, Songtao
;
Li, Zeming
;
He, Xuming
Adobe PDF(1040Kb)
|
收藏
|
浏览/下载:496/0
|
提交时间:2022/12/09
Modeling languages
Object detection
Computational costs
De facto standard
Fine grained
Higher efficiency
Language model
Natural images
Performance
Spatial redundancy
Spatial regions
State of the art
CONSTRUCT DEEP NEURAL NETWORKS BASED ON DIRECT SAMPLING METHODS FOR SOLVING ELECTRICAL IMPEDANCE TOMOGRAPHY
期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2021, 卷号: 43, 期号: 3, 页码: B678-B711
作者:
Guo, Ruchi
;
Jiang, Jiahua
Adobe PDF(12371Kb)
|
收藏
|
浏览/下载:1094/223
|
提交时间:2021/08/20
deep learning
inverse problems
direct sampling methods
electrical impedance tomography
reconstruction algorithm
limited boundary data
Convolutional neural networks
Electric impedance
Electric impedance measurement
Electric impedance tomography
Inverse problems
Boundary measurements
Computational costs
Direct sampling method
Electrical impedance tomography
Fully connected neural network
High quality reconstruction
Inhomogeneous inclusions
Numerical experiments
首页
上一页
1
2
下一页
末页