Applying a multitask feature sparsity method for the classification of semantic relations between nominals. - Guoqing Chao; Shiliang Sun (ICMLC, 2012)

Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination. - Guoqing Chao; Shiliang Sun (ICONIP (3), 2012)

Multi-View Maximum Entropy Discrimination. - Shiliang Sun; Guoqing Chao (IJCAI, 2013)

Multi-kernel maximum entropy discrimination for multi-view learning. - Guoqing Chao; Shiliang Sun (Intell. Data Anal., 2016)

Consensus and complementarity based maximum entropy discrimination for multi-view classification. - Guoqing Chao; Shiliang Sun (Inf. Sci., 2016)

Alternative Multiview Maximum Entropy Discrimination. - Guoqing Chao; Shiliang Sun (IEEE Trans. Neural Networks Learn. Syst., 2016)

A Survey on Multi-View Clustering. - Guoqing Chao; Shiliang Sun; Jinbo Bi (CoRR, 2017)

Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. - Guoqing Chao; Chengsheng Mao; Fei Wang 001; Yuan Zhao; Yuan Luo 001 (BIBM, 2018)

Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization. - Guoqing Chao; Shiliang Sun (Inf. Fusion, 2019)

Multi-view cluster analysis with incomplete data to understand treatment effects. - Guoqing Chao; Jiangwen Sun; Jin Lu 001; An-Li Wang; Daniel D. Langleben; Chiang-shan Ray Li; Jinbo Bi (Inf. Sci., 2019)

Recent Advances in Supervised Dimension Reduction: A Survey. - Guoqing Chao; Yuan Luo 001; Weiping Ding 001 (Mach. Learn. Knowl. Extr., 2019)

Discriminative K-Means Laplacian Clustering. - Guoqing Chao (Neural Process. Lett., 2019)

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 (ICWS, 2021)

A Survey on Multiview Clustering. - Guoqing Chao; Shiliang Sun; Jinbo Bi (IEEE Trans. Artif. Intell., 2021)

Deep Learning for Fine-Grained Image Recognition: A Comprehensive Study. - Yuhua Kang; Guoqing Chao; Xin Hu 010; Zhiying Tu; Dianhui Chu (APIT, 2022)

An Oriented Attention Model for Infectious Disease Cases Prediction. - Peisong Zhang; Zhijin Wang; Guoqing Chao; Yaohui Huang; Jingwen Yan (IEA/AIE, 2022)

Incomplete multi-view clustering with multiple imputation and ensemble clustering. - Guoqing Chao; Songtao Wang; Shiming Yang; Chunshan Li; Dianhui Chu (Appl. Intell., 2022)

Editorial: special issue on multi-view learning. - Guoqing Chao; Xingquan Zhu 001; Weiping Ding 001; Jinbo Bi; Shiliang Sun (Appl. Intell., 2022)

Multi-view k-proximal plane clustering. - Feixiang Sun; Xijiong Xie; Jiangbo Qian; Yu Xin; Yuqi Li; Chong Wang 001; Guoqing Chao (Appl. Intell., 2022)

Frobenius norm-regularized robust graph learning for multi-view subspace clustering. - Shuqin Wang 001; Yongyong Chen; Shuang Yi; Guoqing Chao (Appl. Intell., 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)

A Clustering-guided Contrastive Fusion for Multi-view Representation Learning. - Guanzhou Ke; Guoqing Chao; Xiaoli Wang 003; Chenyang Xu; Chang Xu; Yongqi Zhu; Yang Yu 058 (CoRR, 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)

Disentangling Multi-view Representations Beyond Inductive Bias. - Guanzhou Ke; Yang Yu 058; Guoqing Chao; Xiaoli Wang 003; Chenyang Xu; Shengfeng He (ACM Multimedia, 2023)

A Diabetes Prediction System Based on Incomplete Fused Data Sources. - Zhaoyi Yuan; Hao Ding; Guoqing Chao; Mingqiang Song; Lei Wang; Weiping Ding 001; Dianhui Chu (Mach. Learn. Knowl. Extr., 2023)

Editorial: Special Issue on Transfer Learning. - Guoqing Chao; Xingquan Zhu 001; Weiping Ding 001; Jinbo Bi; Shiliang Sun (Neural Process. Lett., 2023)

Data augmentation for sentiment classification with semantic preservation and diversity. - Guoqing Chao; Jingyao Liu; Mingyu Wang; Dianhui Chu (Knowl. Based Syst., 2023)

Oriented transformer for infectious disease case prediction. - Zhijin Wang; Pesiong Zhang; Yaohui Huang; Guoqing Chao; Xijiong Xie; Yonggang Fu (Appl. Intell., 2023)

Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding. - Guoqing Chao; Yi Jiang; Dianhui Chu (AAAI, 2024)

Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering. - Jie Wen 001; Shijie Deng; Waikeung Wong; Guoqing Chao; Chao Huang 008; Lunke Fei; Yong Xu 001 (ICML, 2024)

Three-teaching: A three-way decision framework to handle noisy labels. - Guoqing Chao; Kaiwen Zhang; Xiru Wang; Dianhui Chu (Appl. Soft Comput., 2024)

Enhanced transfer learning with data augmentation. - Jianjun Su; Xuejiao Yu; Xiru Wang; Zhijin Wang; Guoqing Chao (Eng. Appl. Artif. Intell., 2024)

A Clustering-Guided Contrastive Fusion for Multi-View Representation Learning. - Guanzhou Ke; Guoqing Chao; Xiaoli Wang 003; Chenyang Xu; Yongqi Zhu; Yang Yu 058 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering. - Guoqing Chao; Kaixin Xu; Xijiong Xie; Yongyong Chen (AAAI, 2025)

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning. - Yuanheng Fang; Guoqing Chao; Wenqiang Lei; Shaobo Li; Dianhui Chu (AAAI, 2025)

OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems. - Xiangming Wang; Haijin Zeng; Jiaoyang Chen; Sheng Liu 002; Yongyong Chen; Guoqing Chao (AAAI, 2025)

Knowledge Bridger: Towards Training-Free Missing Modality Completion. - Guanzhou Ke; Shengfeng He; Xiaoli Wang 003; Bo Wang 057; Guoqing Chao; Yuanyang Zhang; Yi Xie; Hexing Su (CVPR, 2025)

DentSeg-EDA: A 3D tooth segmentation framework for CBCT images using enhanced dual attention. - Muhammad Asif Jamal; Guoqing Chao; Bumshik Lee (Neurocomputing, 2025)

Multi-view Unsupervised Feature Selection via Global and Local Kernelized Graph Learning. - Min Xu; Xijiong Xie; Yuqi Li; Guoqing Chao (Neurocomputing, 2025)

Incomplete multi-view classification via graph neural network on heterogeneous graph. - Guoqing Chao; Jingnan Qi; Jingxuan Li; Bumshik Lee; Dianhui Chu (Inf. Fusion, 2025)

Multi-modal data augmentation based on masked modeling for image-text retrieval. - Mingyu Wang; Guoqing Chao; Xi Wang; Yongyong Chen; Xijiong Xie; Dianhui Chu (Knowl. Based Syst., 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., 2025)

Knowledge Bridger: Towards Training-free Missing Multi-modality Completion. - Guanzhou Ke; Shengfeng He; Xiao Li Wang; Bo Wang 057; Guoqing Chao; Yuanyang Zhang; Yi Xie; Hexing Su (CoRR, 2025)

ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion. - Xiang Li 111; Haobing Liu 001; Jianpeng Qi; Yuan Cao; Guoqing Chao; Yanwei Yu (CoRR, 2025)

Hyper-Laplacian Regularized Concept Factorization in Low-Rank Tensor Space for Multi-View Clustering. - Zixiao Yu; Lele Fu; Yongyong Chen; Zhiling Cai; Guoqing Chao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Semantic-Space-Intervened Diffusive Alignment for Visual Classification. - Zixuan Li; Lei Meng 001; Guoqing Chao; Wei Wu; Xiaoshuo Yan; Yimeng Yang; Zhuang Qi; Xiangxu Meng (CoRR, 2025)

How Far Are We from Predicting Missing Modalities with Foundation Models? - Guanzhou Ke; Yi Xie; Xiaoli Wang 003; Guoqing Chao; Bo Wang 057; Shengfeng He (CoRR, 2025)

Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance. - Guoqing Chao; Zhenghao Zhang; Lei Meng; Jie Wen; Dianhui Chu (CoRR, 2025)

Multi-view semi-supervised feature selection based on adaptive graph and tensor learning. - Hangyu Chen; Xijiong Xie; Guoqing Chao (Appl. Intell., 2025)