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Physics-Inspired Spatial-Temporal Graph Neural Networks for Predicting Industrial Chain Resilience 期刊论文
Journal of Machine Learning Research, 2024, 卷号: 4, 期号: 23, 页码: 1-23
作者:  Wang BC(王必成);  Wang JP(王军平)
Adobe PDF(2342Kb)  |  收藏  |  浏览/下载：71/21  |  提交时间：2024/06/12
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：55/15  |  提交时间：2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
Motion Learning for Musculoskeletal Robots Based on Cortex-Inspired Motor Primitives and Modulation 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 卷号: 16, 期号: 2, 页码: 744-756
作者:  Xiaona Wang;  Jiahao Chen;  Wei Wu
Adobe PDF(3444Kb)  |  收藏  |  浏览/下载：34/8  |  提交时间：2024/06/04
Biologically inspired control  motor preparation  motor primitive  musculoskeletal robot  recurrent neural network (RNN)  
Robust Motion Learning for Musculoskeletal Robots Based on a Recurrent Neural Network and Muscle Synergies 期刊论文
IEEE Transactions on Automation Science and Engineering, 2024, 页码: 1-16
作者:  Jiahao Chen;  Wu YX(吴亚雄);  Yao CJ(姚超竞);  Huang X(黄销)
Adobe PDF(4084Kb)  |  收藏  |  浏览/下载：57/13  |  提交时间：2024/06/04
Musculoskeletal system  Robots  Muscles  Reinforcement learning  Robustness  Learning systems  Recurrent neural networks  Musculoskeletal robots  recurrent neural network  muscle synergy  robustness  
Memory, attention, and muscle synergies based reinforcement and transfer learning for musculoskeletal robots under imperfect observation 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: doi:10.1109/TMECH.2024.3401045
作者:  Chen JH(陈嘉浩);  Wu YX(吴亚雄);  Qiao H(乔红)
Adobe PDF(5646Kb)  |  收藏  |  浏览/下载：24/6  |  提交时间：2024/06/04
Muscle synergy  musculoskeletal robots  reinforcement learning  
TREPH: A Plug-In Topological Layer for Graph Neural Networks 期刊论文
Entropy, 2023, 卷号: 25, 期号: 2, 页码: 331
作者:  Ye, Xue;  Sun, Fang;  Xiang, Shiming
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：149/31  |  提交时间：2023/06/19
graph neural network  graph representation learning  topological data analysis  extended persistent homology  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：270/35  |  提交时间：2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
A cascaded method for text detection in natural scene images 期刊论文
Neurocomputing, 2017, 卷号: 238, 期号: 238, 页码: 307-315
作者:  Yang, Zheng;  Qing, Li;  Jie, Liu;  Heping, Liu;  Gen, Li;  Shuwu, Zhang
浏览  |  Adobe PDF(2826Kb)  |  收藏  |  浏览/下载：271/73  |  提交时间：2019/10/09
Extremal Regions  Recursive Local Search  Text Line Entropy  Convolutional Neural Network  
Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文
IEEE ACCESS, 2018, 期号: 6, 页码: 59001 - 59014
作者:  Chengbao,Liu;  Jie, Tan;  Heyuan,Shi;  Xuelei,Wang
浏览  |  Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：385/101  |  提交时间：2019/04/30
Lithium-ion Cell Screening  Time-series Clustering  Resampling  Convolutional Neural Networks