SU-IDS: A Semi-supervised and Unsupervised Framework for Network Intrusion Detection. - Erxue Min; Jun Long; Qiang Liu 004; Jianjing Cui; Zhiping Cai; Junbo Ma (ICCCS (3), 2018)

Dictionary-based active learning for sound event classification. - Wanting Ji; Ruili Wang; Junbo Ma (Multim. Tools Appl., 2019)

Relational recurrent neural networks for polyphonic sound event detection. - Junbo Ma; Ruili Wang; Wanting Ji; Hao Zheng; En Zhu; Jianping Yin (Multim. Tools Appl., 2019)

Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. - Jiangzhang Gan; Xiaofeng Zhu 001; Rongyao Hu; Yonghua Zhu; Junbo Ma; Zi-Wen Peng; Guorong Wu 001 (IJCAI, 2020)

Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold. - Jiazhou Chen; Guoqiang Han; Hongmin Cai; Junbo Ma; Minjeong Kim; Paul J. Laurienti; Guorong Wu 001 (MICCAI (7), 2020)

Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis. - Junbo Ma; Xiaofeng Zhu 001; Defu Yang; Jiazhou Chen; Guorong Wu 001 (MICCAI (7), 2020)

3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images. - Junbo Ma; Oleh Krupa; Madison Rose Glass; Carolyn M. McCormick; David Borland; Minjeong Kim; Jason L. Stein; Guorong Wu 001 (IPMI, 2021)

Adaptive Cross-stitch Graph Convolutional Networks. - Zehui Hu; Zidong Su; Yangding Li; Junbo Ma (MMAsia, 2021)

Brain functional connectivity analysis based on multi-graph fusion. - Jiangzhang Gan; Zi-Wen Peng; Xiaofeng Zhu 001; Rongyao Hu; Junbo Ma; Guorong Wu 001 (Medical Image Anal., 2021)

Robust multi-view continuous subspace clustering. - Junbo Ma; Ruili Wang; Wanting Ji; Jiawei Zhao; Ming Zong; Andrew Gilman (Pattern Recognit. Lett., 2021)

Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification. - Rongyao Hu; Zi-Wen Peng; Xiaofeng Zhu 001; Jiangzhang Gan; Yonghua Zhu; Junbo Ma; Guorong Wu 001 (IEEE Trans. Medical Imaging, 2021)

Information Augmentation for Few-shot Node Classification. - Zongqian Wu; Peng Zhou 006; Guoqiu Wen; Yingying Wan; Junbo Ma; Debo Cheng; Xiaofeng Zhu 001 (IJCAI, 2022)

Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis. - Yonghua Zhu; Junbo Ma; Changan Yuan 001; Xiaofeng Zhu 001 (Inf. Fusion, 2022)

Multimodality Alzheimer's Disease Analysis in Deep Riemannian Manifold. - Junbo Ma; Jilian Zhang; Zeyu Wang (Inf. Process. Manag., 2022)

Path Integration Enhanced Graph Attention Network. - Hui Wang 088; Peng Zhou 006; Junbo Ma (ADMA (4), 2023)

Totally Dynamic Hypergraph Neural Networks. - Peng Zhou 006; Zongqian Wu; Xiangxiang Zeng; Guoqiu Wen; Junbo Ma; Xiaofeng Zhu 001 (IJCAI, 2023)

Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels. - Yujing Liu; Zongqian Wu; Zhengyu Lu; Guoqiu Wen; Junbo Ma; Guangquan Lu; Xiaofeng Zhu 001 (ACM Multimedia, 2023)

Multi-scale graph classification with shared graph neural network. - Peng Zhou 006; Zongqian Wu; Guoqiu Wen; Kun Tang; Junbo Ma (World Wide Web (WWW), 2023)

Dynamic graph convolutional networks by semi-supervised contrastive learning. - Guolin Zhang; Zehui Hu; Guoqiu Wen; Junbo Ma; Xiaofeng Zhu 001 (Pattern Recognit., 2023)

Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems. - Jiayang Su; Junbo Ma; Songyang Tong; Enze Xu; Minghan Chen (AAAI, 2024)

Simple Contrastive Multi-View Clustering with Data-Level Fusion. - Caixuan Luo; Jie Xu 044; Yazhou Ren 001; Junbo Ma; Xiaofeng Zhu 001 (IJCAI, 2024)

Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining. - Junbo Ma; Caixuan Luo; Jia Hou; Kai Zhao (IJCAI, 2024)

Graph augmentation for node-level few-shot learning. - Zongqian Wu; Peng Zhou 011; Junbo Ma; Jilian Zhang; Guoqin Yuan; Xiaofeng Zhu 001 (Knowl. Based Syst., 2024)

A noise-resistant graph neural network by semi-supervised contrastive learning. - Zhengyu Lu; Junbo Ma; Zongqian Wu; Bo Zhou; Xiaofeng Zhu 001 (Inf. Sci., 2024)