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SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2025, 卷号: 44, 期号: 9, 页码: 3490-3503
作者:  Xue, Runzhen;  Yan, Mingyu;  Han, Dengke;  Xiao, Ziheng;  Tang, Zhimin;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Semantics  Layout  Graph neural networks  Optimization  Vectors  Graphics processing units  Feature extraction  Design automation  Training  Hardware acceleration  Graph neural network (GNN)  hardware accelerator  heterogeneous graph neural network (HGNN)  semantic graph  
DM-IDS-A Network Intrusion Detection Method Based on Dual-Modal Fusion 期刊论文
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2025, 卷号: 22, 期号: 4, 页码: 3646-3661
作者:  Zha, Chao;  Wang, Zhiyu;  Fan, Yifei;  Bai, Bing;  Zhang, Yinjie;  Shi, Sainan;  Zhang, Ruyun
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Feature extraction  Payloads  Network intrusion detection  Telecommunication traffic  Vectors  Graph neural networks  Radio frequency  Data mining  Training  Technological innovation  Intrusion detection  flow modal  payload modal  bilinear fusion  semantic  
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2025, 卷号: 37, 期号: 7, 页码: 4225-4238
作者:  Liu, Xin;  Zhang, Yuxiang;  Wu, Meng;  Yan, Mingyu;  He, Kun;  Yan, Wei;  Pan, Shirui;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Perturbation methods  Graph neural networks  Image edge detection  Data augmentation  Accuracy  Training  Measurement  Optimization  Detectors  World Wide Web  Edge perturbation  graph neural network  graph data augmentation  graph data attack  
Characterizing and Understanding HGNN Training on GPUs 期刊论文
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2025, 卷号: 22, 期号: 1, 页码: 25
作者:  Han, Dengke;  Yan, Mingyu;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：18/0  |  提交时间：2025/06/25
Heterogeneous graph neural networks  graph neural networks training  characterization  quantitative analysis  optimization guidelines  
Characterizing and Understanding Defense Methods for GNNs on GPUs 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2023, 卷号: 22, 期号: 2, 页码: 137-140
作者:  Wu, Meng;  Yan, Mingyu;  Yang, Xiaocheng;  Li, Wenming;  Zhang, Zhimin;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：56/0  |  提交时间：2023/12/04
Kernel  Purification  Estimation  Graphics processing units  Perturbation methods  Electric breakdown  Training  Graph neural networks  defense  execution semantic  execution pattern  overhead  
Motif-GCNs With Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2009-2023
作者:  Wen, Yu-Hui;  Gao, Lin;  Fu, Hongbo;  Zhang, Fang-Lue;  Xia, Shihong;  Liu, Yong-Jin
收藏  |  浏览/下载：59/0  |  提交时间：2023/07/12
Skeleton  Feature extraction  Joints  Convolutional codes  Topology  Training  Sparse matrices  Action recognition  graph convolutional neural networks  spatio-temporal attention  non-local block  skeleton sequence  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：94/0  |  提交时间：2022/06/21
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method  
Graph Jigsaw Learning for Cartoon Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3961-3972
作者:  Li, Yong;  Lao, Lingjie;  Cui, Zhen;  Shan, Shiguang;  Yang, Jian
收藏  |  浏览/下载：61/0  |  提交时间：2022/12/07
Face recognition  Shape  Training  Image color analysis  Layout  Convolutional neural networks  Task analysis  Cartoon face recognition  jigsaw solving  graph convolutional network  self-supervised learning  
A Gallery-Guided Graph Architecture for Sequential Impurity Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 149105-149116
作者:  He, Wenhao;  Song, Haitao;  Guo, Yue;  Yin, Xiaoyi;  Wang, Xiaonan;  Bian, Guibin;  Qian, Wen
收藏  |  浏览/下载：68/0  |  提交时间：2020/12/10
Impurities  Proposals  Feature extraction  Training  Convolutional neural networks  Task analysis  Impurity detection  gallery-guided graph  feature embedding  graph convolutional neural network