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NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Chai, Jiajun;  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(2469Kb)  |  收藏  |  浏览/下载：51/0  |  提交时间：2023/11/16
Large-scale multiagent  neighboring communication  reinforcement learning (RL)  variational information flow  
BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 1-12
作者:  Ma L(马亮);  Zhang Y(张瑜);  Zhang HT(张瀚天);  Cheng LQ(程禄祺);  Yang ZY(杨正宜);  Lu YH(陆玉恒);  Shi WY(时维阳);  Li W(李雯);  Zhuo JJ(卓俊杰);  Wang JJ(王娇健);  Fan LZ(樊令仲);  Jiang TZ(蒋田仔)
Adobe PDF(16100Kb)  |  收藏  |  浏览/下载：190/37  |  提交时间：2023/01/04
anatomical connectivity fingerprints  heritability  individualized brain atlas  graph neural network  topography variability  
Duality-Gated Mutual Condition Network for RGBT Tracking 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Lu, Andong;  Qian, Cun;  Li, Chenglong;  Tang, Jin;  Wang, Liang
收藏  |  浏览/下载：235/0  |  提交时间：2022/06/10
Target tracking  Cameras  Learning systems  Sampling methods  Noise measurement  Computational modeling  Computational efficiency  Bidirectional feature modulation  conditional learning  gated scheme  RGB-Thermal (RGBT) tracking  
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:  Chen, Yaran;  Li, Haoran;  Gao, Ruiyuan;  Zhao, Dongbin
Adobe PDF(2082Kb)  |  收藏  |  浏览/下载：264/58  |  提交时间：2022/03/17
3-D object detection  generalized Intersection of Union (GIoU) loss  segmentation  
Bioinspired Gain-Modulated Recurrent Neural Network for Controlling Musculoskeletal Robot 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 16
作者:  Zhong, Shanlin;  Zhou, Junjie;  Qiao, Hong
收藏  |  浏览/下载：236/0  |  提交时间：2022/01/27
Robots  Modulation  Robot kinematics  Neurons  Brain modeling  Recurrent neural networks  Encoding  Biologically inspired control  gain modulation  motor primitives  musculoskeletal robot  recurrent neural network (RNN)  
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：204/4  |  提交时间：2022/01/27
Maximum likelihood estimation (MLE)  Nonlinear systems  Optimal control  Poisson process  Spike train  Spiking Adaptive dynamic programming（SADP）  
Target Tracking Control of a Biomimetic Underwater Vehicle Through Deep Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Wang, Yu;  Tang, Chong;  Wang, Shuo;  Cheng, Long;  Wang, Rui;  Tan, Min;  Hou, Zengguang
收藏  |  浏览/下载：226/0  |  提交时间：2022/01/27
Reinforcement learning  Target tracking  Robots  Sports  Aerospace electronics  Mobile robots  Underwater vehicles  Biomimetic underwater vehicle (BUV)  reinforcement learning  target tracking control  
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Yang, Xiong;  Zhu, Yuanheng;  Dong, Na;  Wei, Qinglai
Adobe PDF(1578Kb)  |  收藏  |  浏览/下载：211/3  |  提交时间：2022/01/27
Adaptive critic designs (ACDs)  adaptive dynamic programming (ADP)  decentralized event-driven control  input constraint  reinforcement learning (RL)  
Antidecay LSTM for Siamese Tracking With Adversarial Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4475-4489
作者:  Zhao, Fei;  Zhang, Ting;  Wu, Yi;  Tang, Ming;  Wang, Jinqiao
收藏  |  浏览/下载：246/0  |  提交时间：2021/12/28
Target tracking  Feature extraction  Computer architecture  Visualization  Training  Task analysis  Adversarial learning  deep learning  long short-term memory (LSTM)  visual tracking  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：327/43  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning