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Modal Contrastive Learning Based End-to-End Text Image Machine Translation 期刊论文
IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE/ACM TASLP), 2023, 卷号: 32, 期号: 32, 页码: 2153-2165
作者:  Ma, Cong;  Han, Xu;  Wu, Linghui;  Zhang, Yaping;  Zhao, Yang;  Zhou, Yu;  Zong, Chengqing
Adobe PDF(6551Kb)  |  收藏  |  浏览/下载：32/17  |  提交时间：2024/06/26
Transformers  Machine translation  Decoding  Semantics  Pipelines  Text recognition  Task analysis  Text image machine translation  contrastive learning  text image recognition  machine translation  
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：121/22  |  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  
Physics-Based Modeling and Fluttering Dynamic Process Simulation for Catkins 期刊论文
FORESTS, 2023, 卷号: 14, 期号: 12, 页码: 28
作者:  Zhang, Jiaxiu;  Yang, Meng;  Xi, Benye;  Duan, Jie;  Huang, Qingqing;  Meng, Weiliang
Adobe PDF(10070Kb)  |  收藏  |  浏览/下载：87/16  |  提交时间：2024/02/22
clustering  catkin modeling  wind field simulation  catkin control  
Spatial Domain Image Fusion with Particle Swarm Optimization and Lightweight AlexNet for Robotic Fish Sensor Fault Diagnosis 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 6, 页码: 489
作者:  Fan, Xuqing;  Deng, Sai;  Wu, Zhengxing;  Fan, Junfeng;  Zhou, Chao
Adobe PDF(5062Kb)  |  收藏  |  浏览/下载：140/13  |  提交时间：2023/12/21
image fusion  lightweight AlexNet  particle swarm optimization  fault diagnosis  robotic fish  
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：114/21  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
Multiagent-Reinforcement-Learning-Based Stable Path Tracking Control for a Bionic Robotic Fish With Reaction Wheel 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 12, 页码: 12670-12679
作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
Adobe PDF(1587Kb)  |  收藏  |  浏览/下载：178/19  |  提交时间：2023/11/17
Multiagent reinforcement learning (MARL)  path tracking control  reaction wheel  robotic fish  underwater robot  
Sand painting conversion based on detail preservation 期刊论文
COMPUTERS & GRAPHICS-UK, 2023, 卷号: 115, 页码: 371-381
作者:  Zhu, Mengting;  Yang, Meng;  Meng, Weiliang;  Li, Ping
Adobe PDF(4337Kb)  |  收藏  |  浏览/下载：50/7  |  提交时间：2023/11/17
Parameter optimization  Detail painting  Edge processing  
Large sequence models for sequential decision-making: a survey 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2023, 卷号: 17, 期号: 6, 页码: 18
作者:  Wen, Muning;  Lin, Runji;  Wang, Hanjing;  Yang, Yaodong;  Wen, Ying;  Mai, Luo;  Wang, Jun;  Zhang, Haifeng;  Zhang, Weinan
Adobe PDF(1351Kb)  |  收藏  |  浏览/下载：152/5  |  提交时间：2023/11/17
sequential decision-making  sequence modeling  the Transformer  training system  
A Survey on Reinforcement Learning Methods in Bionic Underwater Robots 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 2, 页码: 29
作者:  Tong, Ru;  Feng, Yukai;  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(1260Kb)  |  收藏  |  浏览/下载：149/19  |  提交时间：2023/11/17
bionic underwater robot  reinforcement learning  robotic fish  intelligent 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