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Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network Journal article
Yan Xiaoan, Yan Wangji, Xu Yadong, Yuen Kaveng. Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network[J]. Mechanical Systems and Signal Processing, 2023, 202, 110664.
Authors:  Yan Xiaoan;  Yan Wangji;  Xu Yadong;  Yuen Kaveng
Adobe PDF | Favorite | TC[WOS]:28 TC[Scopus]:31  IF:7.9/8.0 | Submit date：2023/08/30
Multivariate Feature Mode Decomposition  Multi-attention Fusion Residual Convolutional Neural Network  Multi-sensor Data  Machinery Fault Diagnosis  
Multi-mode dynamic residual graph convolution network for traffic flow prediction Journal article
Huang, Xiaohui, Ye, Yuming, Ding, Weihua, Yang, Xiaofei, Xiong, Liyan. Multi-mode dynamic residual graph convolution network for traffic flow prediction[J]. INFORMATION SCIENCES, 2022, 609, 548-564.
Authors:  Huang, Xiaohui;  Ye, Yuming;  Ding, Weihua;  Yang, Xiaofei;  Xiong, Liyan
Favorite | TC[WOS]:22 TC[Scopus]:23  IF:0/0 | Submit date：2022/08/02
Graph Convolution Network  Multi-mode Fusion  Spatio-temporal Data  Traffic Flow Prediction  
Exploiting multigranular salient features with hierarchical multi-mode attention network for pedestrian re-IDentification Journal article
Geng, Yanbing, Lian, Yongjian, Zhou, Mingliang, Kong, Yixue, Zhu, Yinong. Exploiting multigranular salient features with hierarchical multi-mode attention network for pedestrian re-IDentification[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2020, 73, 102914.
Authors:  Geng, Yanbing;  Lian, Yongjian;  Zhou, Mingliang;  Kong, Yixue;  Zhu, Yinong
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:2.6/2.4 | Submit date：2021/12/06
Pedestrian Re-identification  Hierarchical  Multi-mode Attention Network  Hierarchical Adaptive Fusion  Fused Attention