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A Fusion Measurement Method for Nano-displacement Based on Kalman Filter and Neural Network 期刊论文
International Journal of Robotics and Automation, 2021, 卷号: 36, 页码: 1-9
作者:  Zhang ZL(张灼亮);  Zhou C(周超);  Du ZM(杜章铭);  Deng L(邓露);  Cao ZQ(曹志强);  Wang S(王硕);  Cheng L(程龙);  Deng S(邓赛)
Adobe PDF(3806Kb)  |  收藏  |  浏览/下载：87/32  |  提交时间：2023/06/26
multi-rate fusion  state block  convolution filtering  nanoscale measurement  
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：190/44  |  提交时间：2022/06/14
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:  Zezhi Sui;  Zhiqiang Pu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(5344Kb)  |  收藏  |  浏览/下载：242/79  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
Beyond Crack: Fine-Grained Pavement Defect Segmentation Using Three-Stream Neural Networks 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: /, 期号: /, 页码: /
作者:  Zhang, Yujia;  Wu, Junxian;  Li, Qianzhong;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(12585Kb)  |  收藏  |  浏览/下载：340/56  |  提交时间：2022/04/02
Fine-grained defect segmentation  Crack detection  Semantic segmentation  Pavement inspection  
Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Yu, Xinbo;  Li, Bin;  He, Wei;  Feng, Yanghe;  Cheng, Long;  Silvestre, Carlos
收藏  |  浏览/下载：282/0  |  提交时间：2022/02/16
Robots  Robot sensing systems  Task analysis  Force  Impedance  Sensors  Collaboration  Error constraint  human-robot co-transportation  input constraint  neural networks (NNs)  vision and force sensing  
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA 期刊论文
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021, 期号: 2021.5, 页码: 1-1
作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian
Adobe PDF(6174Kb)  |  收藏  |  浏览/下载：192/39  |  提交时间：2022/02/15
block convolution  memory-efficient  off-chip transfer  fpga  cnn accelerator  
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：202/0  |  提交时间：2022/01/27
Hardware acceleration  image classification  neural networks  pruning  software-hardware codesign  
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
Adobe PDF(2904Kb)  |  收藏  |  浏览/下载：203/4  |  提交时间：2022/01/27
Maximum likelihood estimation (MLE)  Nonlinear systems  Optimal control  Poisson process  Spike train  Spiking Adaptive dynamic programming（SADP）  
Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Wang, Ding;  Ha, Mingming;  Cheng, Long
收藏  |  浏览/下载：264/0  |  提交时间：2022/01/27
Trajectory  Heuristic algorithms  Convergence  Trajectory tracking  Stability criteria  Optimal control  Dynamic programming  Adaptive critic design  discrete-time nonlinear plants  neuro-optimal trajectory tracking  uniformly ultimately bounded stability  value iteration  
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：196/0  |  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