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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：25/9  |  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：44/9  |  提交时间：2024/06/21
Cerebral vessels  Generalization  Markov random field  Segmentation  TOF-MRA  Unsupervised learning  
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：46/7  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
A memory and attention-based reinforcement learning for musculoskeletal robots with prior knowledge of muscle synergies 期刊论文
Robotic Intelligence and Automation, 2024, 卷号: 44, 期号: 2, 页码: 316-333
作者:  Xiaona Wang;  Jiahao Chen;  Hong Qiao
Adobe PDF(2591Kb)  |  收藏  |  浏览/下载：53/15  |  提交时间：2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
Tri-relational multi-faceted graph neural networks for automatic question tagging 期刊论文
Neurocomputing, 2024, 卷号: 576, 页码: 127250
作者:  Nuojia Xu;  Jun Hu;  Quan Fang;  Dizhan Xue;  Yongxi Li;  Shengsheng Qian
Adobe PDF(2105Kb)  |  收藏  |  浏览/下载：43/20  |  提交时间：2024/06/04
Graph Neural Networks  Community Question Answering  Question Tagging  
Information bottleneck based knowledge selection for commonsense reasoning 期刊论文
Information Sciences, 2024, 卷号: 660, 页码: 120134
作者:  Zhao Yang;  Yuanzhe Zhang;  Pengfei Cao;  Cao Liu;  Jiansong Chen;  Jun Zhao;  Kang Liu
Adobe PDF(1069Kb)  |  收藏  |  浏览/下载：50/16  |  提交时间：2024/05/30
Commonsense reasoning  Knowledge selection  Information bottleneck  KG-augmented model  
Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings 期刊论文
Frontiers in Marine Science, 2024, 卷号: 11, 页码: 1334210
作者:  Rui, Chuang;  Sun, Zhengya;  Zhang, Wensheng;  Liu, Anan;  Wei, Zhiqiang
Adobe PDF(14474Kb)  |  收藏  |  浏览/下载：38/11  |  提交时间：2024/05/28
El Niño-Southern Oscillation (ENSO)  deep learning for ENSO prediction  self-attention ConvLSTM  temporal embeddings  spring prediction barrier  
Graph-guided deep hashing networks for similar patient retrieval 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 169, 页码: 107865
作者:  Gu, Yifan;  Yang, Xuebing;  Sun, Mengxuan;  Wang, Chutong;  Yang, Hongyu;  Yang, Chao;  Wang, Jinwei;  Kong, Guilan;  Lv, Jicheng;  Zhang, Wensheng
Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：45/18  |  提交时间：2024/05/28
Similar patient retrieval  Deep hashing  Graph neural networks  Patient representation learning  Electronic health records  
DomainFeat: Learning Local Features With Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 46-59
作者:  Xu, Rongtao;  Wang, Changwei;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Yuyang;  Fan, Bin;  Zhang, Xiaopeng
Adobe PDF(6039Kb)  |  收藏  |  浏览/下载：92/13  |  提交时间：2024/03/26
Feature extraction  Location awareness  Visualization  Robustness  Image matching  Detectors  Decoding  Local features  domain adaptation  cross-domain data  consistency loss  
Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning 期刊论文
BIOMIMETICS, 2024, 卷号: 9, 期号: 1, 页码: 19
作者:  Wang, Yu;  Wang, Jian;  Kang, Song;  Yu, Junzhi
Adobe PDF(1553Kb)  |  收藏  |  浏览/下载：80/17  |  提交时间：2024/03/26
biomimetic motion  biomimetic autonomous system  target following  deep reinforcement learning  predictive control