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Multistep Look-Ahead Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems With Isoperimetric Constraints 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 卷号: 54, 期号: 3, 页码: 1414-1426
作者:  Li, Tao;  Wei, Qinglai;  Wang, Fei-Yue
Adobe PDF(784Kb)  |  收藏  |  浏览/下载：116/21  |  提交时间：2024/02/22
Performance analysis  Optimal control  Dynamic programming  Iterative algorithms  Upper bound  Measurement  Convergence  Adaptive dynamic programming (ADP)  isoperimetric constraints  nonlinear systems  optimal control  policy iteration  
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者:  Wei, Zechen;  Liu, Yanjun;  Zhu, Tao;  Yang, Xin;  Tian, Jie;  Hui, Hui
Adobe PDF(6094Kb)  |  收藏  |  浏览/下载：97/5  |  提交时间：2024/02/22
Magnetic particle imaging  deep learning  self-attention mechanism  time-frequency spectrum  background signal  
Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
Adobe PDF(2432Kb)  |  收藏  |  浏览/下载：132/14  |  提交时间：2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
A learnable EEG channel selection method for MI-BCI using efficient channel attention 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:  Tong, Lina;  Qian, Yihui;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：110/20  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
IDO: Instance dual-optimization for weakly supervised object detection 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 18
作者:  Ren, Zhida;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(3668Kb)  |  收藏  |  浏览/下载：76/7  |  提交时间：2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning  
Parallel Learning for Legal Intelligence: A HANOI Approach Based on Unified Prompting 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 页码: 11
作者:  Song, Zhuoyang;  Huang, Min;  Miao, Qinghai;  Wang, Fei-Yue
收藏  |  浏览/下载：109/0  |  提交时间：2023/11/17
Index Ternis- Natural language processing (NLP)  parallel learning (PL)  parallel systems  pretrained language model (PLM)  prompt tuning  
Byzantine-Resilient Federated Learning at Edge 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2023, 卷号: 72, 期号: 9, 页码: 2600-2614
作者:  Tao, Youming;  Cui, Sijia;  Xu, Wenlu;  Yin, Haofei;  Yu, Dongxiao;  Liang, Weifa;  Cheng, Xiuzhen
收藏  |  浏览/下载：163/0  |  提交时间：2023/11/17
Byzantine resilience  communication efficiency  edge intelligent systems  federated learning  
Plexin D1 mediates disturbed flow-induced M1 macrophage polarization in atherosclerosis 期刊论文
HELIYON, 2023, 卷号: 9, 期号: 6, 页码: 15
作者:  Zhang, Suhui;  Zhang, Yingqian;  Zhang, Peng;  Wei, Zechen;  Ma, Mingrui;  Wang, Wei;  Tong, Wei;  Tian, Feng;  Hui, Hui;  Tian, Jie;  Chen, Yundai
Adobe PDF(8914Kb)  |  收藏  |  浏览/下载：149/6  |  提交时间：2023/11/17
Plexin D1  Macrophage polarization  Disturbed flow  Bifurcation lesions  Atherosclerosis  
Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:  Li, Hongyang;  Wei, Qinglai
收藏  |  浏览/下载：86/0  |  提交时间：2023/11/17
Index Terms- Output cluster synchronization control  data-driven control  adaptive dynamic programming  policy iteration  heterogeneous multi-agent systems  optimal control  
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：62/3  |  提交时间：2023/11/16
Large-scale multiagent  neighboring communication  reinforcement learning (RL)  variational information flow