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Exploration of swimming performance for a biomimetic multi-joint robotic fish with a compliant passive joint 期刊论文
Bioinspiration & Biomimetics, 2020, 卷号: 16, 期号: 2, 页码: 14
作者:  Chen,Di;  Wu,Zhengxing;  Dong,Huijie;  Tan,Min;  Yu,Junzhi
Adobe PDF(2460Kb)  |  收藏  |  浏览/下载：346/33  |  提交时间：2021/02/18
robotic fish  biomimetic  compliant passive joint  dynamic modeling  swimming performance  
High-speed rail pole number recognition through deep representation and temporal redundancy 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 页码: 201-214
作者:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Li, Ding
Adobe PDF(2751Kb)  |  收藏  |  浏览/下载：295/54  |  提交时间：2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
Design and analysis of a deployable grasping mechanism for capturing non-cooperative space targets 期刊论文
Aerospace Science and Technology, 2020, 期号: 106, 页码: 106230
作者:  Li, Guotao;  Xu, Peng
Adobe PDF(2889Kb)  |  收藏  |  浏览/下载：216/93  |  提交时间：2020/10/13
Deployable grasping mechanism, Non-cooperative space target, Kinematics analysis, Stiffness analysis  
Automatic Reconstruction of Mitochondria and Endoplasmic Reticulum in Electron Microscopy Volumes by Deep Learning 期刊论文
FRONTIERS IN NEUROSCIENCE, 2020, 期号: 14, 页码: 13
作者:  Liu, Jing;  Li, Linlin;  Yang, Yang;  Hong, Bei;  Chen, Xi;  Xie, Qiwei;  Han, Hua
Adobe PDF(1944Kb)  |  收藏  |  浏览/下载：295/68  |  提交时间：2020/09/21
mitochondria  endoplasmic reticulum  electron microscopes  segmentation  3D reconstruction  
Self-Attention Based Visual-Tactile Fusion Learning for Predicting Grasp Outcomes 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 卷号: 5, 期号: 4, 页码: 5827-5834
作者:  Cui, Shaowei;  Wang, Rui;  Wei, Junhang;  Hu, Jingyi;  Wang, Shuo
Adobe PDF(1535Kb)  |  收藏  |  浏览/下载：320/51  |  提交时间：2020/08/31
Grasping  perception for grasping and manipulation  multi-modal perception  force and tactile sensing  
WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2020, 卷号: 130, 页码: 9
作者:  Zhang, Fengyi;  Liu, Zhiyong;  Xiong, Fangzhou;  Su, Jianhua;  Qiao, Hong
Adobe PDF(1550Kb)  |  收藏  |  浏览/下载：334/49  |  提交时间：2020/07/20
Skill transfer learning  Serial structures  Robot skill learning  Graph Neural Network  
Deep Neural Network Based Machine Translation System Combination 期刊论文
ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), 2020, 期号: Accept, 页码: Accept
作者:  Zhou, Long;  Zhang, Jiajun;  Kang, Xiaomian;  Zong, Chengqing
浏览  |  Adobe PDF(2039Kb)  |  收藏  |  浏览/下载：246/81  |  提交时间：2020/06/23
DNN, SMT, NMT, system combination, minimal bayes-risk decoding, low-resource translation  
A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 3, 页码: 14
作者:  Shu, Chang;  Li, Lin-Lin;  Li, Guoqing;  Chen, Xi;  Han, Hua
浏览  |  Adobe PDF(3363Kb)  |  收藏  |  浏览/下载：384/65  |  提交时间：2020/06/22
image registration  volume reconstruction from series of microscopy sections  constrained simultaneous registration problem  noniterative algorithm  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：369/66  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning  
Dual Networks for High-Precision and High-Speed Registration of Brain Electron Microscopy Images 期刊论文
Brain Sciences, 2020, 卷号: 10, 期号: 2, 页码: 86
作者:  Shu, Chang;  Xin, Tong;  Zhou, Fangxu;  Chen, Xi;  Han, Hua
浏览  |  Adobe PDF(1388Kb)  |  收藏  |  浏览/下载：263/59  |  提交时间：2020/04/27
Computer Vision  Image Processing  Deep Learning  Image Registration  Electron Microscopy Image  Dual Network Architecture  Unsupervised Learning