Guoqiu Wen

According to our database, Guoqiu Wen authored at least 38 papers between 2014 and 2024.

Collaborative distances:

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

2024

Noise-resistant graph neural networks with manifold consistency and label consistency.

Zhengyu Lu, Yujing Liu, Guoqiu Wen, Bo Zhou, Wenzhen Zhang, Jilian Zhang

Expert Syst. Appl., 2024

Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation.

Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Ping Hu, Xiaofeng Zhu

CoRR, 2024

2023

Dynamic graph convolutional networks by semi-supervised contrastive learning.

Guolin Zhang, Zehui Hu, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu

Pattern Recognit., July, 2023

Multi-scale graph classification with shared graph neural network.

Peng Zhou, Zongqian Wu, Guoqiu Wen, Kun Tang, Junbo Ma

World Wide Web (WWW), May, 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

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Totally Dynamic Hypergraph Neural Networks.

Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

One-step spectral rotation clustering with balanced constrains.

Guoqiu Wen, Yonghua Zhu, Linjun Chen, Shichao Zhang

World Wide Web, 2022

Information Augmentation for Few-shot Node Classification.

Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

One-step spectral rotation clustering for imbalanced high-dimensional data.

Guoqiu Wen, Xianxian Li, Yonghua Zhu, Linjun Chen, Qimin Luo, Malong Tan

Inf. Process. Manag., 2021

Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering.

Guoqiu Wen, Yonghua Zhu, Linjun Chen, Mengmeng Zhan, Yangcai Xie

Comput. J., 2021

Balanced Spectral Clustering Algorithm Based on Feature Selection.

Qimin Luo, Guangquan Lu, Guoqiu Wen, Zidong Su, Xingyi Liu, Jian Wei

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020

Unsupervised feature selection by self-paced learning regularization.

Wei Zheng, Xiaofeng Zhu, Guoqiu Wen, Yonghua Zhu, Hao Yu, Jiangzhang Gan

Pattern Recognit. Lett., 2020

Self-paced Learning for <i>K</i>-means Clustering Algorithm.

Hao Yu, Guoqiu Wen, Jiangzhang Gan, Wei Zheng, Cong Lei

Pattern Recognit. Lett., 2020

One-step spectral clustering based on self-paced learning.

Tao Tong, Jiangzhang Gan, Guoqiu Wen, Yangding Li

Pattern Recognit. Lett., 2020

Supervised feature selection by self-paced learning regression.

Jiangzhang Gan, Guoqiu Wen, Hao Yu, Wei Zheng, Cong Lei

Pattern Recognit. Lett., 2020

Using Locality Preserving Projections to Improve the Performance of Kernel Clustering.

Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu

Neural Process. Lett., 2020

Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection.

Guoqiu Wen, Yonghua Zhu, Mengmeng Zhan, Malong Tan

Neural Process. Lett., 2020

An Efficient Algorithm Combining Spectral Clustering with Feature Selection.

Qimin Luo, Guoqiu Wen, Leyuan Zhang, Mengmeng Zhan

Neural Process. Lett., 2020

Spectral clustering algorithm combining local covariance matrix with normalization.

Tingting Du, Guoqiu Wen, Zhiguo Cai, Wei Zheng, Malong Tan, Yangding Li

Neural Comput. Appl., 2020

Spectral representation learning for one-step spectral rotation clustering.

Guoqiu Wen, Yonghua Zhu, Wei Zheng

Neurocomputing, 2020

Robust self-tuning spectral clustering.

Guoqiu Wen

Neurocomputing, 2020

2019

Double weighted K-nearest voting for label aggregation in crowdsourcing learning.

Jiaye Li, Hao Yu, Leyuan Zhang, Guoqiu Wen

Multim. Tools Appl., 2019

Exclusive feature selection and multi-view learning for Alzheimer's Disease.

Jiaye Li, Lin Wu, Guoqiu Wen, Zhi Li

J. Vis. Commun. Image Represent., 2019

基于核函数的稀疏属性选择算法 (Sparse Feature Selection Algorithm Based on Kernel Function).

Shanwen Zhang, Guoqiu Wen, Leyuan Zhang, Jiaye Li

计算机科学, 2019

A Clustering Algorithm via Kernel Function and Locality Preserving Projections.

Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning.

Linjun Chen, Guangquan Lu, Guoqiu Wen, Jiaye Li, Malong Tan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Self-tuning clustering for high-dimensional data.

Guoqiu Wen, Yonghua Zhu, Zhiguo Cai, Wei Zheng

World Wide Web, 2018

Adaptive structure learning for low-rank supervised feature selection.

Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen

Pattern Recognit. Lett., 2018

2017

Double sparse-representation feature selection algorithm for classification.

Yonghua Zhu, Xuejun Zhang, Guoqiu Wen, Wei He, Debo Cheng

Multim. Tools Appl., 2017

Spectral clustering based on hypergraph and self-re-presentation.

Yonggang Li, Shichao Zhang, Debo Cheng, Wei He, Guoqiu Wen, Qing Xie

Multim. Tools Appl., 2017

Low-rank feature selection for multi-view regression.

Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang

Multim. Tools Appl., 2017

Self-representation dimensionality reduction for multi-model classification.

Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen

Neurocomputing, 2017

Feature self-representation based hypergraph unsupervised feature selection via low-rank representation.

Wei He, Xiaohui Cheng, Rongyao Hu, Yonghua Zhu, Guoqiu Wen

Neurocomputing, 2017

A novel low-rank hypergraph feature selection for multi-view classification.

Xiaohui Cheng, Yonghua Zhu, Jingkuan Song, Guoqiu Wen, Wei He

Neurocomputing, 2017

Robust Features Selection via Structure Learning and Multiple Subspace Learning.

Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen

Proceedings of the IEEE International Conference on Big Knowledge, 2017

2015

Soft coverings and their parameter reductions.

Zhaowen Li, Ningxin Xie, Guoqiu Wen

Appl. Soft Comput., 2015

An approach to fuzzy soft sets in decision making based on grey relational analysis and Dempster-Shafer theory of evidence: An application in medical diagnosis.

Zhaowen Li, Guoqiu Wen, Ningxin Xie

Artif. Intell. Medicine, 2015

2014

A Method for Fuzzy Soft Sets in Decision Making Based on Grey Relational Analysis and D-S Theory of Evidence: Application to Medical Diagnosis.

Ningxin Xie, Guoqiu Wen, Zhaowen Li

Comput. Math. Methods Medicine, 2014