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Inconsistency-Aware Wavelet Dual-Branch Network for Face Forgery Detection 期刊论文
IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021, 卷号: 3, 期号: 3, 页码: 308-319
作者:  jia geng yun;  zheng mei song;  hu chuan rui;  ma xin;  xu yu ting;  liu luo qi;  deng ya feng;  he ran
Adobe PDF(2690Kb)  |  收藏  |  浏览/下载：235/51  |  提交时间：2022/06/14
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：337/42  |  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)  
Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Zhang, Tielin;  Jia, Shuncheng;  Cheng, Xiang;  Xu, Bo
收藏  |  浏览/下载：234/0  |  提交时间：2022/01/27
Neurons  Biology  Convolution  Biological neural networks  Tuning  Membrane potentials  Kernel  Biologically plausible computing  neuronal dynamics  reward propagation  spiking neural network (SNN)  
A Brain-Inspired Approach for Collision-Free Movement Planning in the Small Operational Space 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Xing, Dengpeng;  Li, Jiale;  Zhang, Tielin;  Xu, Bo
收藏  |  浏览/下载：238/0  |  提交时间：2022/01/27
Visualization  Cameras  Planning  Task analysis  Neurons  Collision avoidance  Biology  Brain-inspired structure  collision-free movement planning  small operational space  spiking neural networks (SNNs)  
Detection of the common bile duct in difficult bile duct exploration using indocyanine green fluorescence imaging: A case report 期刊论文
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY, 2021, 卷号: 36, 页码: 3
作者:  Wang, Piao;  Fang, Cheng;  Lin, Hao-min;  Li, Xu-jia;  Luo, De;  Gan, Yu;  Yang, Xiao-li;  Tian, Jie;  Li, Bo;  Su, Song
收藏  |  浏览/下载：225/0  |  提交时间：2021/12/28
Indocyanine green  Fluorescence imaging  Biliary tract exploration  Case report  
Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks 期刊论文
SCIENCE ADVANCES, 2021, 卷号: 7, 期号: 43, 页码: 11
作者:  Zhang, Tielin;  Cheng, Xiang;  Jia, Shuncheng;  Poo, Mu-Ming;  Zeng, Yi;  Xu, Bo
收藏  |  浏览/下载：232/0  |  提交时间：2021/12/28
Unsupervised meta-learning for few-shot learning 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 116, 页码: 10
作者:  Xu, Hui;  Wang, Jiaxing;  Li, Hao;  Ouyang, Deqiang;  Shao, Jie
收藏  |  浏览/下载：188/0  |  提交时间：2021/08/15
Unsupervised learning  Meta-learning  Few-shot learning  
Transfer learning for nonlinear batch process operation optimization 期刊论文
JOURNAL OF PROCESS CONTROL, 2021, 卷号: 101, 页码: 11-23
作者:  Chu, Fei;  Wang, Jiachen;  Zhao, Xu;  Zhang, Shuning;  Chen, Tao;  Jia, Runda;  Xiong, Gang
收藏  |  浏览/下载：234/0  |  提交时间：2021/06/07
Transfer learning  Nonlinear batch process  Insufficient data  Operation optimization  Data selection  
An End-to-End Recommendation System for Urban Traffic Controls and Management Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 3, 页码: 1616-1626
作者:  Jin, Junchen;  Guo, Haifeng;  Xu, Jia;  Wang, Xiao;  Wang, Fei-Yue
收藏  |  浏览/下载：233/0  |  提交时间：2021/04/27
Control systems  Urban areas  Timing  Adaptive systems  Real-time systems  Recurrent neural networks  Process control  Intelligent traffic control  traffic signal control  parallel learning  recommendation systems  deep neural networks  
Neuronal-Plasticity and Reward-Propagation Improved Recurrent Spiking Neural Networks 期刊论文
FRONTIERS IN NEUROSCIENCE, 2021, 卷号: 15, 页码: 11
作者:  Jia, Shuncheng;  Zhang, Tielin;  Cheng, Xiang;  Liu, Hongxing;  Xu, Bo
收藏  |  浏览/下载：247/0  |  提交时间：2021/04/21
spiking neural network  neuronal plasticity  synaptic plasticity  reward propagation  sparse connections