Guoqing Chao

According to our database, Guoqing Chao authored at least 35 papers between 2012 and 2025.

Collaborative distances:

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

2025

Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning.

Xuejiao Yu, Yi Jiang, Guoqing Chao, Dianhui Chu

IEEE Trans. Knowl. Data Eng., January, 2025

2024

A Clustering-Guided Contrastive Fusion for Multi-View Representation Learning.

Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Yongqi Zhu, Yang Yu

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Enhanced transfer learning with data augmentation.

Jianjun Su, Xuejiao Yu, Xiru Wang, Zhijin Wang, Guoqing Chao

Eng. Appl. Artif. Intell., 2024

OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems.

Xiangming Wang, Haijin Zeng, Jiaoyang Chen, Sheng Liu, Yongyong Chen, Guoqing Chao

CoRR, 2024

Three-teaching: A three-way decision framework to handle noisy labels.

Guoqing Chao, Kaiwen Zhang, Xiru Wang, Dianhui Chu

Appl. Soft Comput., 2024

Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering.

Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding.

Guoqing Chao, Yi Jiang, Dianhui Chu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Oriented transformer for infectious disease case prediction.

Zhijin Wang, Pesiong Zhang, Yaohui Huang, Guoqing Chao, Xijiong Xie, Yonggang Fu

Appl. Intell., December, 2023

Data augmentation for sentiment classification with semantic preservation and diversity.

Guoqing Chao, Jingyao Liu, Mingyu Wang, Dianhui Chu

Knowl. Based Syst., November, 2023

Editorial: Special Issue on Transfer Learning.

Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun

Neural Process. Lett., June, 2023

A Diabetes Prediction System Based on Incomplete Fused Data Sources.

Zhaoyi Yuan, Hao Ding, Guoqing Chao, Mingqiang Song, Lei Wang, Weiping Ding, Dianhui Chu

Mach. Learn. Knowl. Extr., March, 2023

Disentangling Multi-view Representations Beyond Inductive Bias.

Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Shengfeng He

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

2022

Understanding users' requirements precisely: a double Bi-LSTM-CRF joint model for detecting user's intentions and slot tags.

Chunshan Li, Yingli Zhou, Guoqing Chao, Dianhui Chu

Neural Comput. Appl., 2022

A Clustering-guided Contrastive Fusion for Multi-view Representation Learning.

Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Chang Xu, Yongqi Zhu, Yang Yu

CoRR, 2022

A multi-view time series model for share turnover prediction.

Zhijin Wang, Qiankun Su, Guoqing Chao, Bing Cai, Yaohui Huang, Yonggang Fu

Appl. Intell., 2022

Frobenius norm-regularized robust graph learning for multi-view subspace clustering.

Shuqin Wang, Yongyong Chen, Shuang Yi, Guoqing Chao

Appl. Intell., 2022

Multi-view k-proximal plane clustering.

Feixiang Sun, Xijiong Xie, Jiangbo Qian, Yu Xin, Yuqi Li, Chong Wang, Guoqing Chao

Appl. Intell., 2022

Editorial: special issue on multi-view learning.

Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun

Appl. Intell., 2022

Incomplete multi-view clustering with multiple imputation and ensemble clustering.

Guoqing Chao, Songtao Wang, Shiming Yang, Chunshan Li, Dianhui Chu

Appl. Intell., 2022

An Oriented Attention Model for Infectious Disease Cases Prediction.

Peisong Zhang, Zhijin Wang, Guoqing Chao, Yaohui Huang, Jingwen Yan

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Deep Learning for Fine-Grained Image Recognition: A Comprehensive Study.

Yuhua Kang, Guoqing Chao, Xin Hu, Zhiying Tu, Dianhui Chu

Proceedings of the APIT 2022: 4th Asia Pacific Information Technology Conference, Virtual Event, Thailand, January 14, 2022

2021

A Survey on Multiview Clustering.

Guoqing Chao, Shiliang Sun, Jinbo Bi

IEEE Trans. Artif. Intell., 2021

DGPF: A Dialogue Goal Planning Framework for Cognitive Service Conversational Bot.

Bolin Zhang, Zhiying Tu, Yangqin Jiang, Shufan He, Guoqing Chao, Dian-Hui Chu, Xiaofei Xu

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

2019

Discriminative K-Means Laplacian Clustering.

Guoqing Chao

Neural Process. Lett., 2019

Recent Advances in Supervised Dimension Reduction: A Survey.

Guoqing Chao, Yuan Luo, Weiping Ding

Mach. Learn. Knowl. Extr., 2019

Multi-view cluster analysis with incomplete data to understand treatment effects.

Guoqing Chao, Jiangwen Sun, Jin Lu, An-Li Wang, Daniel D. Langleben, Chiang-shan Ray Li, Jinbo Bi

Inf. Sci., 2019

Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization.

Guoqing Chao, Shiliang Sun

Inf. Fusion, 2019

2018

Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk.

Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

A Survey on Multi-View Clustering.

Guoqing Chao, Shiliang Sun, Jinbo Bi

CoRR, 2017

2016

Alternative Multiview Maximum Entropy Discrimination.

Guoqing Chao, Shiliang Sun

IEEE Trans. Neural Networks Learn. Syst., 2016

Consensus and complementarity based maximum entropy discrimination for multi-view classification.

Guoqing Chao, Shiliang Sun

Inf. Sci., 2016

Multi-kernel maximum entropy discrimination for multi-view learning.

Guoqing Chao, Shiliang Sun

Intell. Data Anal., 2016

2013

Multi-View Maximum Entropy Discrimination.

Shiliang Sun, Guoqing Chao

Proceedings of the IJCAI 2013, 2013

2012

Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination.

Guoqing Chao, Shiliang Sun

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Applying a multitask feature sparsity method for the classification of semantic relations between nominals.

Guoqing Chao, Shiliang Sun

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012