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Development and control of a bioinspired robotic remora for hitch-hiking 期刊论文
IEEE/ASME Transactions on Mechatronics, 2021, 页码: DOI: 10.1109/TMECH.2021.3119022
作者:  Pengfei Zhang;  Zhengxing Wu;  Yan Meng;  Huijie Dong;  Min Tan;  Junzhi Yu
Adobe PDF(15712Kb)  |  收藏  |  浏览/下载：216/39  |  提交时间：2022/06/27
bioinspired adhesion  depth control  pose control  remora  robotic fish  
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 期号: 0, 页码: 6013
作者:  Gao, Naiyu;  Shan, Yanhu;  Zhao, Xin;  Huang, Kaiqi
Adobe PDF(3484Kb)  |  收藏  |  浏览/下载：205/47  |  提交时间：2022/06/14
Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:  Wang, Peisong;  Li, Fanrong;  Li, Gang;  Cheng, Jian
收藏  |  浏览/下载：218/0  |  提交时间：2022/01/27
Hardware acceleration  image classification  neural networks  pruning  software-hardware codesign  
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:  Jiang, Bo;  Wang, Leiling;  Cheng, Jian;  Tang, Jin;  Luo, Bin
收藏  |  浏览/下载：207/0  |  提交时间：2022/01/27
Task analysis  Computer architecture  Semisupervised learning  Deep learning  Laplace equations  Data models  Labeling  Graph embedding  graph neural networks (GNNs)  graph propagation  semi-supervised learning  
ECBC: Efficient Convolution via Blocked Columnizing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing;  Leng, Cong;  Cheng, Jian
Adobe PDF(3003Kb)  |  收藏  |  浏览/下载：321/39  |  提交时间：2022/01/27
Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)  
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Wang, Guanan;  Hu, Qinghao;  Yang, Yang;  Cheng, Jian;  Hou, Zeng-Guang
收藏  |  浏览/下载：233/0  |  提交时间：2022/01/27
Data models  Semantics  Force  Computational modeling  Hash functions  Binary codes  Training data  Adversarial learning (AL)  deep learning  hashing  
The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2021, 卷号: 29, 页码: 2242-2251
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Zhang, Pu
Adobe PDF(1907Kb)  |  收藏  |  浏览/下载：166/11  |  提交时间：2021/12/28
Spasticity quantification  portable assessment device  modified genetic algorithm  ensemble empirical mode decomposition (EEMD)  multi-layer fusion  
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on Multi-Scale Dense Classification Network 期刊论文
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 12
作者:  Tian, Yunong;  Li, En;  Liang, Zize;  Tan, Min;  He, Xiongkui
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：221/6  |  提交时间：2021/12/28
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
A Real-Time Multifunctional Framework for Guidewire Morphological and Positional Analysis in Interventional X-Ray Fluoroscopy 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 13, 期号: 3, 页码: 657-667
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Liu, Shi-Qi;  Bian, Gui-Bin;  Hou, Zeng-Guang
收藏  |  浏览/下载：312/0  |  提交时间：2021/11/04
Deep learning  guidewire  robot-assisted intervention  segmentation and localization  X-ray fluoroscopy  
Distributed Nash equilibrium seeking for integrated game and control of multi-agent systems with input delay 期刊论文
NONLINEAR DYNAMICS, 2021, 卷号: 106, 页码: 583-603
作者:  Ai, Xiaolin
Adobe PDF(3382Kb)  |  收藏  |  浏览/下载：212/38  |  提交时间：2021/11/03
Nash equilibrium seeking  Integrated game and control  Multi-agent systems  Input delay  Input-to-stable stability