The comparison of different graph convolutional neural networks for image recognition. - Sichao Fu; Xinghao Yang; Weifeng Liu 001 (ICIMCS, 2018)

Two-order graph convolutional networks for semi-supervised classification. - Sichao Fu; Weifeng Liu 001; Shuying Li; Yicong Zhou (IET Image Process., 2019)

HpLapGCN: Hypergraph p-Laplacian graph convolutional networks. - Sichao Fu; Weifeng Liu 001; Yicong Zhou; Liqiang Nie (Neurocomputing, 2019)

HesGCN: Hessian graph convolutional networks for semi-supervised classification. - Sichao Fu; Weifeng Liu 001; Dapeng Tao; Yicong Zhou; Liqiang Nie (Inf. Sci., 2020)

Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition. - Sichao Fu; Weifeng Liu 001 (Generalization with Deep Learning, 2021)

Example-feature graph convolutional networks for semi-supervised classification. - Sichao Fu; Weifeng Liu 001; Kai Zhang 029; Yicong Zhou (Neurocomputing, 2021)

Human activity recognition by manifold regularization based dynamic graph convolutional networks. - Weifeng Liu 001; Sichao Fu; Yicong Zhou; Zheng-Jun Zha; Liqiang Nie (Neurocomputing, 2021)

Semi-supervised classification by graph p-Laplacian convolutional networks. - Sichao Fu; Weifeng Liu 001; Kai Zhang 029; Yicong Zhou; Dapeng Tao (Inf. Sci., 2021)

Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification. - Sichao Fu; Weifeng Liu 001; Weili Guan; Yicong Zhou; Dapeng Tao; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2021)

A graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition. - Jun Tang; Yanjiang Wang 001; Sichao Fu; Baodi Liu; Weifeng Liu 001 (IET Image Process., 2022)

Adaptive graph convolutional collaboration networks for semi-supervised classification. - Sichao Fu; Senlin Wang; Weifeng Liu 001; Baodi Liu; Bin Zhou; Xinhua You; Qinmu Peng; Xiao-Yuan Jing (Inf. Sci., 2022)

Adaptive multi-scale transductive information propagation for few-shot learning. - Sichao Fu; Baodi Liu; Weifeng Liu 001; Bin Zou 002; Xinhua You; Qinmu Peng; Xiao-Yuan Jing (Knowl. Based Syst., 2022)

Self-Supervised Guided Hypergraph Feature Propagation for Semi-Supervised Classification with Missing Node Features. - Chengxiang Lei; Sichao Fu; Yuetian Wang; Wenhao Qiu; Yachen Hu; Qinmu Peng; Xinge You (ICASSP, 2023)

Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing. - Sichao Fu; Qinmu Peng; Yang He; Baokun Du; Xinge You (ICDM, 2023)

Semantic-visual Guided Transformer for Few-shot Class-incremental Learning. - Wenhao Qiu; Sichao Fu; Jingyi Zhang; Chengxiang Lei; Qinmu Peng (ICME, 2023)

A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network. - Zhengqiang Zhang; Qinmu Peng; Sichao Fu; Wenjie Wang; Yiu-Ming Cheung; Yue Zhao; Shujian Yu; Xinge You (IEEE Trans. Neural Networks Learn. Syst., 2023)

Towards Cross-Domain Few-Shot Graph Anomaly Detection. - Jiazhen Chen; Sichao Fu; Zhibin Zhang; Zheng Ma 011; Mingbin Feng; Tony S. Wirjanto; Qinmu Peng (ICDM, 2024)

Finding core labels for maximizing generalization of graph neural networks. - Sichao Fu; Xueqi Ma; Yibing Zhan; Fanyu You; Qinmu Peng; Tongliang Liu; James Bailey 001; Danilo P. Mandic (Neural Networks, 2024)

Gradient Guided Multiscale Feature Collaboration Networks for Few-Shot Class-Incremental Remote Sensing Scene Classification. - Wuli Wang; Li Zhang; Sichao Fu; Peng Ren 001; Guangbo Ren; Qinmu Peng; Baodi Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

Toward Cross-Domain Class-Incremental Remote Sensing Scene Classification. - Li Zhang; Sichao Fu; Wuli Wang; Peng Ren 001; Qinmu Peng; Guangbo Ren; Baodi Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

Few-Shot Learning With Dynamic Graph Structure Preserving. - Sichao Fu; Qiong Cao; Yunwen Lei; Yujie Zhong; Yibing Zhan; Xinge You (IEEE Trans. Ind. Informatics, 2024)

Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning. - Sichao Fu; Qinmu Peng; Xiaorui Wang; Yang He; Wenhao Qiu; Bin Zou 002; Duanquan Xu; Xiao-Yuan Jing; Xinge You (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning. - Sichao Fu; Qinmu Peng; Yange He; Baokun Du; Bin Zou 002; Xiao-Yuan Jing; Xinge You (Sci. China Inf. Sci., 2025)

Heterogeneous graph completion collaborative network for attribute-missing heterogeneous graph representation learning. - Yuanjun Yang; Weihua Ou; Sichao Fu; Jiamin Chen; Yunshun Wu (Expert Syst. Appl., 2025)

Continually Evolved Feature and Classifiers Learning for Long-Tailed Class-Incremental Remote Sensing Scene Classification. - Wuli Wang; Yu Song; Jianbu Wang; Sichao Fu; Peng Ren 001; Huawei Qin; Wei Li 032; Weihua Ou (IEEE Trans. Geosci. Remote. Sens., 2025)

Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs. - Jiazhen Chen; Sichao Fu; Zheng Ma 011; Mingbin Feng; Tony S. Wirjanto; Qinmu Peng (CoRR, 2025)

Multilevel Contrastive Graph Masked Autoencoders for Unsupervised Graph-Structure Learning. - Sichao Fu; Qinmu Peng; Yang He; Xiaorui Wang; Bin Zou 002; Duanquan Xu; Xiao-Yuan Jing; Xinge You (IEEE Trans. Neural Networks Learn. Syst., 2025)

Towards Effective Open-set Graph Class-incremental Learning. - Jiazhen Chen; Zheng Ma 011; Sichao Fu; Mingbin Feng; Tony S. Wirjanto; Weihua Ou (CoRR, 2025)

Multiplex graph prompt collaboration for open-set social event detection. - Xiuqin Liang; Jiazhen Chen; Sichao Fu; Wuli Wang; Mingbin Feng; Tony S. Wirjanto; Qinmu Peng; Baodi Liu; Weihua Ou (Expert Syst. Appl., 2026)