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Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis 期刊论文
IEEE Transactions on Affective Computing, 2023, 卷号: 15, 期号: 1, 页码: 1-17
作者:  Licai Sun;  Zheng Lian;  Bin Liu;  Jianhua Tao
Adobe PDF(2371Kb)  |  收藏  |  浏览/下载：77/23  |  提交时间：2024/05/31
Transformers  Robustness  Semantics  Data models  Computational modeling  Videos  Training  Multimodal sentiment analysis  unaligned and incomplete data  efficient multimodal Transformer  dual-level feature restoration  robustness  
GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：112/31  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
PuzzleNet: Boundary-Aware Feature Matching for Non-Overlapping 3D Point Clouds Assembly 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 3, 页码: 492-509
作者:  Liu, Hao-Yu;  Guo, Jian-Wei;  Jiang, Hai-Yong;  Liu, Yan-Chao;  Zhang, Xiao-Peng;  Yan, Dong-Ming
Adobe PDF(7448Kb)  |  收藏  |  浏览/下载：115/14  |  提交时间：2023/12/21
shape assembly  3D registration  geometric learning  boundary feature  point cloud  
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu
Adobe PDF(1686Kb)  |  收藏  |  浏览/下载：110/7  |  提交时间：2023/12/21
Cluster-aware self-training and refining  unsupervised learning  graph representation learning  
A learnable EEG channel selection method for MI-BCI using efficient channel attention 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:  Tong, Lina;  Qian, Yihui;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：123/27  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
IDO: Instance dual-optimization for weakly supervised object detection 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 18
作者:  Ren, Zhida;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(3668Kb)  |  收藏  |  浏览/下载：82/8  |  提交时间：2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning  
Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer 期刊论文
MEDICAL PHYSICS, 2023, 页码: 11
作者:  Liu, Shengyuan;  Deng, Jingyu;  Dong, Di;  Fang, Mengjie;  Ye, Zhaoxiang;  Hu, Yanfeng;  Li, Hailin;  Zhong, Lianzhen;  Cao, Runnan;  Zhao, Xun;  Shang, Wenting;  Li, Guoxin;  Liang, Han;  Tian, Jie
Adobe PDF(2945Kb)  |  收藏  |  浏览/下载：198/15  |  提交时间：2023/11/17
deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics  
Meta-path infomax joint structure enhancement for multiplex network representation learning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 275, 页码: 14
作者:  Yuan, Ruiwen;  Wu, Yajing;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2083Kb)  |  收藏  |  浏览/下载：106/9  |  提交时间：2023/11/17
Multiplex network  Graph neural network  Network representation learning  Complementary information  Graph structure learning  
Episodic Memory-Related Imaging Features as Valuable Biomarkers for the Diagnosis of Alzheimer's Disease: A Multicenter Study Based on Machine Learning 期刊论文
BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING, 2023, 卷号: 8, 期号: 2, 页码: 10
作者:  Shi, Yachen;  Wang, Zan;  Chen, Pindong;  Cheng, Piaoyue;  Zhao, Kun;  Zhang, Hongxing;  Shu, Hao;  Gu, Lihua;  Gao, Lijuan;  Wang, Qing;  Zhang, Haisan;  Xie, Chunming;  Liu, Yong;  Zhang, Zhijun
收藏  |  浏览/下载：175/0  |  提交时间：2023/11/17
Online Progressive Instance-Balanced Sampling for Weakly Supervised Vibration Damper Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14
作者:  Chen, Minghao;  Tian, Yunong;  Li, Zhishuo;  Li, En;  Liang, Zize
Adobe PDF(4445Kb)  |  收藏  |  浏览/下载：137/21  |  提交时间：2023/11/17
Shock absorbers  Vibrations  Object detection  Proposals  Training  Sampling methods  Convolutional neural networks  Instance balance  multiple instance learning (MIL)  progressive sampling  vibration damper detection  weakly supervised object detection (WSOD)