科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
P
Peng Li
university of chinese academy of sciences, cas
13
H指数
48
论文数
727
被引数
0
相关解读
订阅
收录论文
7
发表时间
发表时间
IF
被引数
Crack propagation process and lifetime prediction method of concrete-rock interface under constant loading
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
IF
7.5
2024-09-01
0
PRE
AI
Yuan, Wenyan; Dong, Wei; Li, Peng; Wang, Shuai; Wang, Lei; Liu, Chang
分享
收藏
A dual-branch hybrid dilated CNN model for the AI-assisted segmentation of meningiomas in MR images
COMPUTERS IN BIOLOGY AND MEDICINE
IF
6.3
2022-12-01
2
PRE
AI
Ma, Xin; Zhao, Yajing; Lu, Yiping; Li, Peng; Li, Xuanxuan; Mei, Nan; Wang, Jiajun; Geng, Daoying; Zhao, Lingxiao; Yin, Bo
分享
收藏
Radar Emitter Signal Recognition Based on One-Dimensional Convolutional Neural Network with Attention Mechanism
基于注意力机制的一维卷积神经网络雷达辐射源信号识别
SENSORS
IF
3.5
2020-11-07
46
OA
AI
Wu, Bin; Yuan, Shibo; Li, Peng; Jing, Zehuan; Huang, Shao; Zhao, Yaodong
分享
收藏
Multi-Adversarial Partial Transfer Learning With Object-Level Attention Mechanism for Unsupervised Remote Sensing Scene Classification
IEEE ACCESS
IF
3.6
2020-01-01
5
OA
AI
Li, Peng; Zhang, Dezheng; Chen, Peng; Liu, Xin; Wulamu, Aziguli
分享
收藏
Bi-Modal Learning With Channel-Wise Attention for Multi-Label Image Classification
基于通道注意的双模态学习多标签图像分类
IEEE ACCESS
IF
3.6
2020-01-01
12
OA
AI
Li, Peng; Chen, Peng; Xie, Yonghong; Zhang, Dezheng
分享
收藏
Active semi-supervised learning based on self-expressive correlation with generative adversarial networks
NEUROCOMPUTING
IF
6.5
2019-06-01
49
PRE
AI
Zhang, Xiao-Yu; Shi, Haichao; Zhu, Xiaobin; Li, Peng
分享
收藏
Semi-Supervised Fine-Grained Image Categorization Using Transfer Learning With Hierarchical Multi-Scale Adversarial Networks
IEEE ACCESS
IF
3.6
2019-01-01
7
OA
AI
Chen, Peng; Li, Peng; Li, Qing; Zhang, Dezheng
分享
收藏
研究方向
暂时未获取到该数据
合作学者
合作期刊
Prof. LI Qing
(Qing Li)
H 指数: 78 · 论文数: 2.6K
C
Chang Liu
H 指数: 37 · 论文数: 290
Y
Yajing Zhao
H 指数: 34 · 论文数: 162
董
董伟
(Wei Dong)
H 指数: 33 · 论文数: 191
J
Jiajun Wang
H 指数: 31 · 论文数: 301
查看更多