Sichao Fu

According to our database, Sichao Fu authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, March, 2024

Gradient Guided Multiscale Feature Collaboration Networks for Few-Shot Class-Incremental Remote Sensing Scene Classification.

Wuli Wang, Li Zhang, Sichao Fu, Peng Ren, Guangbo Ren, Qinmu Peng, Baodi Liu

IEEE Trans. Geosci. Remote. Sens., 2024

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., October, 2023

Semantic-visual Guided Transformer for Few-shot Class-incremental Learning.

Wenhao Qiu, Sichao Fu, Jingyi Zhang, Chengxiang Lei, Qinmu Peng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing.

Sichao Fu, Qinmu Peng, Yang He, Baokun Du, Xinge You

Proceedings of the IEEE International Conference on Data Mining, 2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Adaptive multi-scale transductive information propagation for few-shot learning.

Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing

Knowl. Based Syst., 2022

Adaptive graph convolutional collaboration networks for semi-supervised classification.

Sichao Fu, Senlin Wang, Weifeng Liu, Baodi Liu, Bin Zhou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing

Inf. Sci., 2022

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, Sichao Fu, Baodi Liu, Weifeng Liu

IET Image Process., 2022

2021

Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification.

Sichao Fu, Weifeng Liu, Weili Guan, Yicong Zhou, Dapeng Tao, Changsheng Xu

ACM Trans. Multim. Comput. Commun. Appl., 2021

Semi-supervised classification by graph <i>p</i>-Laplacian convolutional networks.

Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou, Dapeng Tao

Inf. Sci., 2021

Human activity recognition by manifold regularization based dynamic graph convolutional networks.

Weifeng Liu, Sichao Fu, Yicong Zhou, Zheng-Jun Zha, Liqiang Nie

Neurocomputing, 2021

Example-feature graph convolutional networks for semi-supervised classification.

Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou

Neurocomputing, 2021

Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition.

Sichao Fu, Weifeng Liu

Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

2020

HesGCN: Hessian graph convolutional networks for semi-supervised classification.

Sichao Fu, Weifeng Liu, Dapeng Tao, Yicong Zhou, Liqiang Nie

Inf. Sci., 2020

2019

HpLapGCN: Hypergraph <i>p</i>-Laplacian graph convolutional networks.

Sichao Fu, Weifeng Liu, Yicong Zhou, Liqiang Nie

Neurocomputing, 2019

Two-order graph convolutional networks for semi-supervised classification.

Sichao Fu, Weifeng Liu, Shuying Li, Yicong Zhou

IET Image Process., 2019

2018

The comparison of different graph convolutional neural networks for image recognition.

Sichao Fu, Xinghao Yang, Weifeng Liu

Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018