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CGNN: A Compatibility-aware Graph Neural Network for Social Media Bot Detection 期刊论文
IEEE Transactions on Computational Social System, 2024, 页码: Early Access
作者:  Huang, Haitao;  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Dajun;  Wang, Feiyue
Adobe PDF(2267Kb)  |  收藏  |  浏览/下载：35/14  |  提交时间：2024/07/08
graph neural network  heterogeneous compatibility  social media bot detection  
MPIGAN: An end-to-end deep based generative framework for high-resolution magnetic particle imaging reconstruction 期刊论文
MEDICAL PHYSICS, 2024, 页码: 18
作者:  Zhao, Jing;  Shen, Yusong;  Liu, Xinyi;  Hou, Xiaoyuan;  Ding, Xuetong;  An, Yu;  Hui, Hui;  Tian, Jie;  Zhang, Hui
收藏  |  浏览/下载：21/0  |  提交时间：2024/07/03
direct reconstruction  generative adversarial network  high-resolution  magnetic particle imaging  simulation  
Multi-Stage Image-Language Cross-Generative Fusion Network for Video-Based Referring Expression Comprehension 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 3256-3270
作者:  Zhang, Yujia;  Li, Qianzhong;  Pan, Yi;  Zhao, Xiaoguang;  Tan, Min
收藏  |  浏览/下载：14/0  |  提交时间：2024/07/03
Feature extraction  Visualization  Task analysis  Representation learning  Location awareness  Linguistics  Grounding  Video-based referring expression comprehension  multi-stage learning  image-language cross-generative fusion  consistency loss  
Lightweight robotic grasping detection network based on dual attention and inverted residual 期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024, 页码: 9
作者:  Yang, Yuequan;  Li, Wei;  Cao, Zhiqiang;  Bao, Jiatong;  Li, Fudong
收藏  |  浏览/下载：9/0  |  提交时间：2024/07/03
Robotic grasping  lightweight network  attention strategy  inverted residual  pixel-level  
Molecular Contrastive Pretraining with Collaborative Featurizations 期刊论文
Journal of Chemical Information and Modeling (JCIM), 2024, 卷号: 64, 期号: 4, 页码: 1112–1122
作者:  Yanqiao Zhu;  Dingshuo Chen;  Yuanqi Du;  Yingze Wang;  Qiang Liu;  Shu Wu
Adobe PDF(1868Kb)  |  收藏  |  浏览/下载：34/13  |  提交时间：2024/06/21
FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 170, 页码: 107996
作者:  Yue Cui;  Haibin Huang;  Jialu Liu;  Mingyang Zhao;  Chengyi Li;  Xinyong Han;  Na Luo;  Jinquan Gao;  Dong-ming Yan;  Chen Zhang;  Tianzi Jiang;  Shan Yu
Adobe PDF(985Kb)  |  收藏  |  浏览/下载：58/12  |  提交时间：2024/06/21
Cerebral vessels  Generalization  Markov random field  Segmentation  TOF-MRA  Unsupervised learning  
Diff-pcg: diffusion point cloud generation conditioned on continuous normalizing flow 期刊论文
The Visual Computer, 2024, 页码: 1-15
作者:  Yu T(余挺);  Meng WL(孟维亮);  Wu ZQ(吴仲琦);  Guo JW(郭建伟);  Zhang XP(张晓鹏)
Adobe PDF(2471Kb)  |  收藏  |  浏览/下载：45/13  |  提交时间：2024/06/11
3D shape generation  Diffusion model  Continuous normalizing flow  Point cloud  
The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载：57/11  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
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：79/23  |  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  
StellarGAN: Classifying Stellar Spectra with Generative Adversarial Networks in SDSS and APOGEE Sky Surveys 期刊论文
The Astrophysical Journal Supplement Series, 2024, 卷号: 271, 期号: 2, 页码: 13
作者:  Liu,Wei;  Cao,Shuo;  Yu,Xian-Chuan;  Zhu,Meng;  Biesiada,Marek;  Yao,Jiawen;  Du,Minghao
收藏  |  浏览/下载：31/0  |  提交时间：2024/05/30