Sichao Fu

According to our database, Sichao Fu authored at least 36 papers between 2018 and 2026.

Collaborative distances:

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

2026

Domain-Adaptive Fuzzy Graph Diffusion Networks for Open-Set Cross-Domain Node Classification.

Sichao Fu, Yanping Chen, Songren Peng, Weihua Ou, Liangshuo Ning, Bin Zou, Qinmu Peng, Xiao-Yuan Jing, Xinge You

IEEE Trans. Fuzzy Syst., June, 2026

Evolving classifiers with background suppression transformer for open-set long-tailed class-incremental remote sensing scene classification.

Yu Song, Sichao Fu, Hongquan Xin, Wuli Wang, Peng Ren, Baodi Liu, Weihua Ou, Dapeng Tao

Neural Networks, 2026

Unsupervised multimodal graph completion networks with multi-level contrastiveness for modality-missing conversation understanding.

Sichao Fu, Songren Peng, Bin Zou, Xiao-Yuan Jing, Wei Yu, Qinmu Peng, Xinge You

Inf. Fusion, 2026

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

Uncertainty-aware adaptive feature completion networks for incomplete multi-view learning.

Wenzheng Wang, Sichao Fu, Jun Wang, Baodi Liu, Chaofeng Tang, Weihua Ou

Eng. Appl. Artif. Intell., 2026

Underwater image enhancement via dual-domain experts with hybrid-masked contrastive learning.

Jiajie Qin, Renjie Xu, Jun Wang, Sichao Fu, Baodi Liu

Appl. Soft Comput., 2026

Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection.

Jiazhen Chen, Xiuqin Liang, Sichao Fu, Zheng Ma, Weihua Ou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Multiplex Experts Governance Collaboration for Label Noise-Resistant Graph Representation Learning.

Sichao Fu, Qinmu Peng, Yiu-Ming Cheung, Yizhuo Xu, Bin Zou, Xiao-Yuan Jing, Xinge You

IEEE Trans. Syst. Man Cybern. Syst., October, 2025

Multilevel Contrastive Graph Masked Autoencoders for Unsupervised Graph-Structure Learning.

Sichao Fu, Qinmu Peng, Yang He, Xiaorui Wang, Bin Zou, Duanquan Xu, Xiao-Yuan Jing, Xinge You

IEEE Trans. Neural Networks Learn. Syst., February, 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, Huawei Qin, Wei Li, Weihua Ou

IEEE Trans. Geosci. Remote. Sens., 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

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, Xiao-Yuan Jing, Xinge You

Sci. China Inf. Sci., 2025

Towards Effective Open-set Graph Class-incremental Learning.

Jiazhen Chen, Zheng Ma, Sichao Fu, Mingbin Feng, Tony S. Wirjanto, Weihua Ou

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs.

Jiazhen Chen, Sichao Fu, Zheng Ma, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng

Proceedings of the Database Systems for Advanced Applications, 2025

2024

Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning.

Sichao Fu, Qinmu Peng, Xiaorui Wang, Yang He, Wenhao Qiu, Bin Zou, Duanquan Xu, Xiao-Yuan Jing, Xinge You

IEEE Trans. Emerg. Top. Comput. Intell., October, 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

Toward Cross-Domain Class-Incremental Remote Sensing Scene Classification.

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

IEEE Trans. Geosci. Remote. Sens., 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

Finding core labels for maximizing generalization of graph neural networks.

Sichao Fu, Xueqi Ma, Yibing Zhan, Fanyu You, Qinmu Peng, Tongliang Liu, James Bailey, Danilo P. Mandic

Neural Networks, 2024

Towards Cross-Domain Few-Shot Graph Anomaly Detection.

Jiazhen Chen, Sichao Fu, Zhibin Zhang, Zheng Ma, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng

Proceedings of the IEEE International Conference on Data Mining, 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