Sichao Fu

40 papers A* 4A 1Misc 1Journal 31Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multiplex graph prompt collaboration for open-set social event detection.
Expert Syst. Appl.
Xiuqin Liang, Jiazhen Chen, Sichao Fu, Wuli Wang, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng, Baodi Liu, Weihua Ou
2026 A* conf
Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection.
AAAI
Jiazhen Chen, Xiuqin Liang, Sichao Fu, Zheng Ma, Weihua Ou
2026 J jnl
Uncertainty-aware adaptive feature completion networks for incomplete multi-view learning.
Eng. Appl. Artif. Intell.
Wenzheng Wang, Sichao Fu, Jun Wang, Baodi Liu, Chaofeng Tang, Weihua Ou
2026 J jnl
Unsupervised multimodal graph completion networks with multi-level contrastiveness for modality-missing conversation understanding.
Inf. Fusion
Sichao Fu, Songren Peng, Bin Zou, Xiao-Yuan Jing, Wei Yu, Qinmu Peng, Xinge You
2025 J jnl
Continually Evolved Feature and Classifiers Learning for Long-Tailed Class-Incremental Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens.
Wuli Wang, Yu Song, Jianbu Wang, Sichao Fu, Peng Ren, Huawei Qin, Wei Li, Weihua Ou
2025 J jnl
Heterogeneous graph completion collaborative network for attribute-missing heterogeneous graph representation learning.
Expert Syst. Appl.
Yuanjun Yang, Weihua Ou, Sichao Fu, Jiamin Chen, Yunshun Wu
2025 J jnl
Multilevel Contrastive Graph Masked Autoencoders for Unsupervised Graph-Structure Learning.
IEEE Trans. Neural Networks Learn. Syst.
Sichao Fu, Qinmu Peng, Yang He, Xiaorui Wang, Bin Zou, Duanquan Xu, Xiao-Yuan Jing, Xinge You
2025 J jnl
Multiplex Experts Governance Collaboration for Label Noise-Resistant Graph Representation Learning.
IEEE Trans. Syst. Man Cybern. Syst.
Sichao Fu, Qinmu Peng, Yiu-ming Cheung, Yizhuo Xu, Bin Zou, Xiao-Yuan Jing, Xinge You
2025 — conf
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs.
DASFAA (2)
Jiazhen Chen, Sichao Fu, Zheng Ma, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng
2025 J jnl
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs.
CoRR
Jiazhen Chen, Sichao Fu, Zheng Ma, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng
2025 A* conf
Towards Effective Open-set Graph Class-incremental Learning.
ACM Multimedia
Jiazhen Chen, Zheng Ma, Sichao Fu, Mingbin Feng, Tony S. Wirjanto, Weihua Ou
2025 J jnl
Towards Effective Open-set Graph Class-incremental Learning.
CoRR
Jiazhen Chen, Zheng Ma, Sichao Fu, Mingbin Feng, Tony S. Wirjanto, Weihua Ou
2025 J jnl
Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection.
CoRR
Jiazhen Chen, Xiuqin Liang, Sichao Fu, Zheng Ma, Weihua Ou
2025 J jnl
Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning.
Sci. China Inf. Sci.
Sichao Fu, Qinmu Peng, Yange He, Baokun Du, Bin Zou, Xiao-Yuan Jing, Xinge You
2024 J jnl
Few-Shot Learning With Dynamic Graph Structure Preserving.
IEEE Trans. Ind. Informatics
Sichao Fu, Qiong Cao, Yunwen Lei, Yujie Zhong, Yibing Zhan, Xinge You
2024 J jnl
Finding core labels for maximizing generalization of graph neural networks.
Neural Networks
Sichao Fu, Xueqi Ma, Yibing Zhan, Fanyu You, Qinmu Peng, Tongliang Liu, James Bailey, Danilo P. Mandic
2024 J jnl
Gradient Guided Multiscale Feature Collaboration Networks for Few-Shot Class-Incremental Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens.
Wuli Wang, Li Zhang, Sichao Fu, Peng Ren, Guangbo Ren, Qinmu Peng, Baodi Liu
2024 J jnl
Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Sichao Fu, Qinmu Peng, Xiaorui Wang, Yang He, Wenhao Qiu, Bin Zou, Duanquan Xu, Xiao-Yuan Jing, Xinge You
2024 J jnl
Toward Cross-Domain Class-Incremental Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens.
Li Zhang, Sichao Fu, Wuli Wang, Peng Ren, Qinmu Peng, Guangbo Ren, Baodi Liu
2024 A* conf
Towards Cross-Domain Few-Shot Graph Anomaly Detection.
ICDM
Jiazhen Chen, Sichao Fu, Zhibin Zhang, Zheng Ma, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng
2024 J jnl
Towards Cross-domain Few-shot Graph Anomaly Detection.
CoRR
Jiazhen Chen, Sichao Fu, Zhibin Zhang, Zheng Ma, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng
2023 J jnl
A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network.
IEEE Trans. Neural Networks Learn. Syst.
Zhengqiang Zhang, Qinmu Peng, Sichao Fu, Wenjie Wang, Yiu-ming Cheung, Yue Zhao, Shujian Yu, Xinge You
2023 Misc conf
Self-Supervised Guided Hypergraph Feature Propagation for Semi-Supervised Classification with Missing Node Features.
ICASSP
Chengxiang Lei, Sichao Fu, Yuetian Wang, Wenhao Qiu, Yachen Hu, Qinmu Peng, Xinge You
2023 J jnl
Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features.
CoRR
Chengxiang Lei, Sichao Fu, Yuetian Wang, Wenhao Qiu, Yachen Hu, Qinmu Peng, Xinge You
2023 A conf
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning.
ICME
Wenhao Qiu, Sichao Fu, Jingyi Zhang, Chengxiang Lei, Qinmu Peng
2023 J jnl
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning.
CoRR
Wenhao Qiu, Sichao Fu, Jingyi Zhang, Chengxiang Lei, Qinmu Peng
2023 A* conf
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing.
ICDM
Sichao Fu, Qinmu Peng, Yang He, Baokun Du, Xinge You
2023 J jnl
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing.
CoRR
Sichao Fu, Qinmu Peng, Yang He, Baokun Du, Xinge You
2022 J jnl
A graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition.
IET Image Process.
Jun Tang, Yanjiang Wang, Sichao Fu, Baodi Liu, Weifeng Liu
2022 J jnl
Adaptive graph convolutional collaboration networks for semi-supervised classification.
Inf. Sci.
Sichao Fu, Senlin Wang, Weifeng Liu, Baodi Liu, Bin Zhou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing
2022 J jnl
Adaptive multi-scale transductive information propagation for few-shot learning.
Knowl. Based Syst.
Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing
2021 J jnl
Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification.
ACM Trans. Multim. Comput. Commun. Appl.
Sichao Fu, Weifeng Liu, Weili Guan, Yicong Zhou, Dapeng Tao, Changsheng Xu
2021 J jnl
Example-feature graph convolutional networks for semi-supervised classification.
Neurocomputing
Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou
2021 J jnl
Human activity recognition by manifold regularization based dynamic graph convolutional networks.
Neurocomputing
Weifeng Liu, Sichao Fu, Yicong Zhou, Zheng-Jun Zha, Liqiang Nie
2021 — ch.
Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition.
Generalization with Deep Learning
Sichao Fu, Weifeng Liu
2021 J jnl
Semi-supervised classification by graph
Inf. Sci.
Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou, Dapeng Tao
2020 J jnl
HesGCN: Hessian graph convolutional networks for semi-supervised classification.
Inf. Sci.
Sichao Fu, Weifeng Liu, Dapeng Tao, Yicong Zhou, Liqiang Nie
2019 J jnl
HpLapGCN: Hypergraph
Neurocomputing
Sichao Fu, Weifeng Liu, Yicong Zhou, Liqiang Nie
2019 J jnl
Two-order graph convolutional networks for semi-supervised classification.
IET Image Process.
Sichao Fu, Weifeng Liu, Shuying Li, Yicong Zhou
2018 — conf
The comparison of different graph convolutional neural networks for image recognition.
ICIMCS
Sichao Fu, Xinghao Yang, Weifeng Liu