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Two-particle Debris Flow Simulation Based on SPH 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-17
作者:  Zhang JX(张佳岫);  Yang M(杨猛);  Xiaomin Li;  Qunou Jiang;  Heng Zhang;  Meng WL(孟维亮)
Adobe PDF(4962Kb)  |  收藏  |  浏览/下载：45/19  |  提交时间：2024/06/04
debris flow  GPU acceleration  natural disaster simulation  SPH  
Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, 卷号: 31, 期号: 1, 页码: 18-28
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Lv, Jiaqi;  Su, Hu;  Wang, Yu;  Ma, Hongxuan
Adobe PDF(2970Kb)  |  收藏  |  浏览/下载：100/17  |  提交时间：2024/02/22
Vehicle dynamics  Robots  Propulsion  Predictive models  Biological system modeling  Robustness  Disturbance observers  
A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 23, 页码: 29283-29292
作者:  Tong, Lina;  Liu, Dai-Song;  Peng, Liang;  Hao, Hong-Lin;  Wang, Chen
Adobe PDF(9425Kb)  |  收藏  |  浏览/下载：85/12  |  提交时间：2024/02/21
Bradykinesia grade  inertial sensors  Parkinson's disease (PD)  temporal convolutional network (TCN)  wearable device  
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：119/25  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1161-1169
作者:  Fan, Chen-Chen;  Yang, Hongjun;  Peng, Liang;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Zhou, Yan-Jie;  Chen, Sheng;  Hou, Zeng-Guang
收藏  |  浏览/下载：192/0  |  提交时间：2023/12/21
Alzheimer's disease (AD)  cognitive assessment  convolutional neural networks (CNNs)  graph neural networks  structural magnetic resonance imaging (sMRI)  
Hierarchical Curriculum Learning for No-Reference Image Quality Assessment 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 20
作者:  Wang, Juan;  Chen, Zewen;  Yuan, Chunfeng;  Li, Bing;  Ma, Wentao;  Hu, Weiming
收藏  |  浏览/下载：140/0  |  提交时间：2023/11/17
No-reference image quality assessment  Hierarchical curriculum learning  Prior knowledge  Cross-dataset quality assessment correlation  
sEMG-Based Gesture Recognition Method for Coal Mine Inspection Manipulator Using Multistream CNN 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 10, 页码: 11082-11090
作者:  Tong, Lina;  Zhang, Mingjia;  Ma, Hanghang;  Wang, Chen;  Peng, Liang
Adobe PDF(2841Kb)  |  收藏  |  浏览/下载：136/22  |  提交时间：2023/11/17
Sensors  Muscles  Inspection  Coal mining  Robots  Feature extraction  Gesture recognition  Coal mine inspection manipulator  gestures recognition  multistream convolutional neural network (CNN)  surface electromyography (sEMG)  time--frequency graph feature  
Self-Prior Guided Pixel Adversarial Networks for Blind Image Inpainting 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12377-12393
作者:  Wang, Juan;  Yuan, Chunfeng;  Li, Bing;  Deng, Ying;  Hu, Weiming;  Maybank, Stephen
收藏  |  浏览/下载：163/0  |  提交时间：2023/11/16
Blind image inpainting  semantic-discontinuity detection  layout map prediction  pixel generative adversarial network  
Cross-Architecture Knowledge Distillation 会议论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, Macau SAR, China, 2022.12.4-2022.12.8
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Jingting Ding;  Liang Li
Adobe PDF(1020Kb)  |  收藏  |  浏览/下载：177/52  |  提交时间：2023/04/23
Knowledge distillation  Cross architecture  Model compression  Deep learning  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：287/40  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning