中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [25]
国家天文台 [3]
采集方式
OAI收割 [28]
内容类型
期刊论文 [21]
会议论文 [7]
发表日期
2023 [2]
2022 [8]
2021 [3]
2020 [3]
2019 [3]
2018 [5]
更多
学科主题
筛选
浏览/检索结果:
共28条,第1-10条
帮助
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
题名升序
题名降序
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
Improved Video Emotion Recognition with Alignment of CNN and Human Brain Representations
期刊论文
OAI收割
IEEE Transactions on Affective Computing, 2023, 页码: 1-15
作者:
Fu, Kaicheng
;
Du, Changde
;
Wang, Shengpei
;
He, Huiguang
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2024/05/28
CNN-brain Alignment
Brain-guided Deep Learning
Video Emotion Recognition
Representation Similarity Analysis
Topographic representation of visually evoked emotional experiences in the human cerebral cortex
期刊论文
OAI收割
ISCIENCE, 2023, 卷号: 26, 期号: 9, 页码: 18
作者:
Du, Changde
;
Fu, Kaicheng
;
Wen, Bincheng
;
He, Huiguang
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/03/26
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Fu, Kaicheng
;
Du, Changde
;
Wang, Shengpei
;
He, Huiguang
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2022/12/27
Decoding
Brain modeling
Functional magnetic resonance imaging
Predictive models
Emotion recognition
Dimensionality reduction
Pattern recognition
Fine-grained emotion decoding
multi-label learning
multi-view learning
product of experts (PoEs)
variational autoencoder
Exploring the brain-like properties of deep neural networks: a neural encoding perspective
期刊论文
OAI收割
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 439-455
作者:
Qiongyi Zhou
;
Changde Du
;
Huiguang He
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/01/17
Multi-Modal Domain Adaptation Variational Auto-encoder for EEG-Based Emotion Recognition
期刊论文
OAI收割
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 9, 页码: 1612-1626
作者:
Wang, Yixin
;
Qiu, Shuang
;
Li, Dan
;
Du, Changde
;
Lu, Bao-Liang
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2022/11/14
Cycle-consistency
domain adaptation
electroencephalograph (EEG)
multi modality
variational autoencoder
Deep Modality Assistance Co-Training Network for Semi-Supervised Multi-Label Semantic Decoding
期刊论文
OAI收割
IEEE Transactions on Multimedia, 2022, 卷号: 24, 页码: 3287-3299
作者:
Dan Li
;
Changde Du
;
Haibao Wang
;
Qiongyi Zhou
;
Huiguang He
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/01/17
Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 600-614
作者:
Du, Changde
;
Du, Changying
;
Huang, Lijie
;
Wang, Haibao
;
He, Huiguang
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2022/03/17
Decoding
Image reconstruction
Functional magnetic resonance imaging
Visualization
Task analysis
Brain
Correlation
Deep neural network (DNN)
functional magnetic resonance imaging (fMRI)
image reconstruction
multioutput regression
neural decoding
Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1612-1626
作者:
Yixin Wang
;
Shuang Qiu
;
Dan Li
;
Changde Du
;
Bao-Liang Lu
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/08/23
Cycle-consistency
domain adaptation
electroencephalograph (EEG)
multi modality
variational autoencoder
Neural Encoding and Decoding with a Flow-based Invertible Generative Model
期刊论文
OAI收割
IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2022, 页码: Early Access
作者:
Qiongyi Zhou
;
Changde Du
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2023/01/17
Exploring the Brain-like Properties of Deep Neural Networks: A Neural Encoding Perspective
期刊论文
OAI收割
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 439-455
作者:
Qiongyi Zhou
;
Changde Du
;
Huiguang He
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/04/23
Convolutional neural network (CNN)
vision transformer (ViT)
multi-modal networks
spatial-temporal networks
visual neural encoding
brain-like neural networks