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Generalizable and precise control based on equilibrium-point hypothesis for musculoskeletal robotic system 期刊论文
ROBOTIC INTELLIGENCE AND AUTOMATION, 2024, 页码: 9
作者:  Wu, Yaxiong;  Chen, Jiahao;  Qiao, Hong
收藏  |  浏览/下载：2/0  |  提交时间：2024/07/22
Musculoskeletal system  Humanoid motion control  Equilibrium-point hypothesis  Muscle model  
Hierarchical Attention Network for Open-Set Fine-Grained Image Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 5, 页码: 3891-3904
作者:  Sun, Jiayin;  Wang, Hong;  Dong, Qiulei
收藏  |  浏览/下载：3/0  |  提交时间：2024/07/22
Transformers  Feature extraction  Task analysis  Image recognition  Training  Visualization  Computer vision  Open-set fine-grained image recognition  hierarchical attention  long-short term memory  
CGNN: A Compatibility-aware Graph Neural Network for Social Media Bot Detection 期刊论文
IEEE Transactions on Computational Social System, 2024, 页码: Early Access
作者:  Huang, Haitao;  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Dajun;  Wang, Feiyue
Adobe PDF(2267Kb)  |  收藏  |  浏览/下载：27/11  |  提交时间：2024/07/08
graph neural network  heterogeneous compatibility  social media bot detection  
Online Off-Policy Reinforcement Learning for Optimal Control of Unknown Nonlinear Systems Using Neural Networks 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 11
作者:  Zhu, Liao;  Wei, Qinglai;  Guo, Ping
收藏  |  浏览/下载：9/0  |  提交时间：2024/07/03
Adaptive dynamic programming  nonlinear systems  online learning  optimal control  reinforcement learning (RL)  
Multi-Stage Image-Language Cross-Generative Fusion Network for Video-Based Referring Expression Comprehension 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 3256-3270
作者:  Zhang, Yujia;  Li, Qianzhong;  Pan, Yi;  Zhao, Xiaoguang;  Tan, Min
收藏  |  浏览/下载：10/0  |  提交时间：2024/07/03
Feature extraction  Visualization  Task analysis  Representation learning  Location awareness  Linguistics  Grounding  Video-based referring expression comprehension  multi-stage learning  image-language cross-generative fusion  consistency loss  
Lightweight robotic grasping detection network based on dual attention and inverted residual 期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024, 页码: 9
作者:  Yang, Yuequan;  Li, Wei;  Cao, Zhiqiang;  Bao, Jiatong;  Li, Fudong
收藏  |  浏览/下载：7/0  |  提交时间：2024/07/03
Robotic grasping  lightweight network  attention strategy  inverted residual  pixel-level  
SASOD: Saliency-Aware Ship Object Detection in High-Resolution Optical Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 15
作者:  Ren, Zhida;  Tang, Yongqiang;  Yang, Yang;  Zhang, Wensheng
Adobe PDF(5807Kb)  |  收藏  |  浏览/下载：26/3  |  提交时间：2024/07/03
ship detection  Saliency detection  high-resolution optical images  remote sensing  Deep learning  Feature extraction  Marine vehicles  Object detection  Remote sensing  Optical sensors  Optical imaging  saliency detection  
Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 5170-5180
作者:  Wang, Jinguang;  Qian, Shengsheng;  Hu, Jun;  Hong, Richang
收藏  |  浏览/下载：17/0  |  提交时间：2024/07/03
Fake news detection  multi-modal learning  social media  
Attention-Based Multiscale Feature Fusion for Efficient Surface Defect Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 10
作者:  Zhao, Yuhao;  Liu, Qing;  Su, Hu;  Zhang, Jiabin;  Ma, Hongxuan;  Zou, Wei;  Liu, Song
收藏  |  浏览/下载：7/0  |  提交时间：2024/07/03
Attention mechanism  feature enhancement  feature fusion  object detection  surface defect detection  
A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2024, 卷号: 37, 期号: 1, 页码: 82-113
作者:  Zhang, Jinhan;  Chen, Jiahao;  Zhong, Shanlin;  Qiao, Hong
收藏  |  浏览/下载：8/0  |  提交时间：2024/07/03
Basal ganglia and cerebellum  bio-inspired integration model  motion learning  muscu-loskeletal robot  reinforcement learning