Subspace clustering for high dimensional categorical data. - Guojun Gan; Jianhong Wu (SIGKDD Explor., 2004)

A Genetic k-Modes Algorithm for Clustering Categorical Data. - Guojun Gan; Zijiang Yang 001; Jianhong Wu (ADMA, 2005)

A Fuzzy Subspace Algorithm for Clustering High Dimensional Data. - Guojun Gan; Jianhong Wu; Zijiang Yang 001 (ADMA, 2006)

PARTCAT: A Subspace Clustering Algorithm for High Dimensional Categorical Data. - Guojun Gan; Jianhong Wu; Zijiang Yang 001 (IJCNN, 2006)

Data clustering - theory, algorithms, and applications. - Guojun Gan; Chaoqun Ma; Jianhong Wu (SIAM, 2007)

Application of Fuzzy Classification in Bankruptcy Prediction. - Zijiang Yang 001; Guojun Gan (ICIC (1), 2008)

A convergence theorem for the fuzzy subspace clustering (FSC) algorithm. - Guojun Gan; Jianhong Wu (Pattern Recognit., 2008)

A genetic fuzzy k-Modes algorithm for clustering categorical data. - Guojun Gan; J. Wu; Z. Yang (Expert Syst. Appl., 2009)

Application of metamodeling to the valuation of large variable annuity portfolios. - Guojun Gan (WSC, 2015)

A multi-asset monte carlo simulation model for the valuation of variable annuities. - Guojun Gan (WSC, 2015)

Subspace clustering using affinity propagation. - Guojun Gan; Michael Kwok-Po Ng (Pattern Recognit., 2015)

Subspace clustering with automatic feature grouping. - Guojun Gan; Michael Kwok-Po Ng (Pattern Recognit., 2015)

Clustering by propagating probabilities between data points. - Guojun Gan; Yuping Zhang; Dipak K. Dey (Appl. Soft Comput., 2016)

A Data Mining Framework for Valuing Large Portfolios of Variable Annuities. - Guojun Gan; Jimmy Xiangji Huang (KDD, 2017)

k-means clustering with outlier removal. - Guojun Gan; Michael Kwok-Po Ng (Pattern Recognit. Lett., 2017)

Nested Stochastic Valuation of Large Variable Annuity Portfolios: Monte Carlo Simulation and Synthetic Datasets. - Guojun Gan; Emiliano A. Valdez (Data, 2018)

Deep Neighbor Embedding for Evaluation of Large Portfolios of Variable Annuities. - Xiaojuan Cheng; Wei Luo 001; Guojun Gan; Gang Li 009 (KSEM (1), 2019)

Fast Valuation of Large Portfolios of Variable Annuities via Transfer Learning. - Xiaojuan Cheng; Wei Luo 001; Guojun Gan; Gang Li 009 (PRICAI (3), 2019)

Maintaining Discrimination and Fairness in Class Incremental Learning. - Bowen Zhao 003; Xi Xiao; Guojun Gan; Bin Zhang 048; Shu-Tao Xia (CVPR, 2020)

Self-Paced Probabilistic Principal Component Analysis For Data With Outliers. - Bowen Zhao 003; Xi Xiao; Wanpeng Zhang 002; Bin Zhang 048; Guojun Gan; Shutao Xia (ICASSP, 2020)

Metamodeling for Variable Annuity Valuation: 10 Years Beyond Kriging. - Guojun Gan (WSC, 2022)

Similar classes latent distribution modelling-based oversampling method for imbalanced image classification. - Wei Ye; Minggang Dong; Yan Wang; Guojun Gan; Deao Liu (J. Supercomput., 2023)

Three-partition coevolutionary differential evolution algorithm for mixed-variable optimization problems. - Guojun Gan; Hengzhou Ye; Minggang Dong; Wei Ye; Yan Wang (Eng. Appl. Artif. Intell., 2024)

A contrastive learning-based iterative network for remote sensing image super-resolution. - Yan Wang; Minggang Dong; Wei Ye; Deao Liu; Guojun Gan (Multim. Tools Appl., 2024)

MGCP: A Multi-Grained Correlation based Prediction Network for multivariate time series. - Zhicheng Chen; Xi Xiao; Ke Xu; Zhong Zhang; Yu Rong 001; Qing Li 006; Guojun Gan; Zhiqiang Xu 003; Peilin Zhao (Neurocomputing, 2025)

Robust k-Means-Type Clustering for Noisy Data. - Xi Xiao; Hailong Ma; Guojun Gan; Qing Li 006; Bin Zhang 048; Shutao Xia (IEEE Trans. Neural Networks Learn. Syst., 2025)