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2020 – today
- 2024
[j11]Guojun Gan, Hengzhou Ye
, Minggang Dong, Wei Ye, Yan Wang:
Three-partition coevolutionary differential evolution algorithm for mixed-variable optimization problems. Eng. Appl. Artif. Intell. 133: 108263 (2024)- [j10]Yan Wang, Minggang Dong, Wei Ye, Deao Liu, Guojun Gan:
A contrastive learning-based iterative network for remote sensing image super-resolution. Multim. Tools Appl. 83(3): 8331-8357 (2024) - [i2]Zhicheng Chen, Xi Xiao, Ke Xu, Zhong Zhang, Yu Rong, Qing Li, Guojun Gan, Zhiqiang Xu, Peilin Zhao:
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series. CoRR abs/2405.19661 (2024) - 2023
- [j9]Wei Ye, Minggang Dong, Yan Wang, Guojun Gan, Deao Liu:
Similar classes latent distribution modelling-based oversampling method for imbalanced image classification. J. Supercomput. 79(9): 9985-10019 (2023) - 2022
- [c12]Guojun Gan:
Metamodeling for Variable Annuity Valuation: 10 Years Beyond Kriging. WSC 2022: 915-926 - 2020
- [c11]Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia:
Maintaining Discrimination and Fairness in Class Incremental Learning. CVPR 2020: 13205-13214 - [c10]Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Guojun Gan, Shutao Xia:
Self-Paced Probabilistic Principal Component Analysis For Data With Outliers. ICASSP 2020: 3737-3741
2010 – 2019
- 2019
- [c9]Xiaojuan Cheng, Wei Luo, Guojun Gan, Gang Li:
Deep Neighbor Embedding for Evaluation of Large Portfolios of Variable Annuities. KSEM (1) 2019: 472-480 - [c8]Xiaojuan Cheng, Wei Luo, Guojun Gan, Gang Li:
Fast Valuation of Large Portfolios of Variable Annuities via Transfer Learning. PRICAI (3) 2019: 716-728 - [i1]Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shutao Xia:
Maintaining Discrimination and Fairness in Class Incremental Learning. CoRR abs/1911.07053 (2019) - 2018
- [j8]Guojun Gan, Emiliano A. Valdez:
Nested Stochastic Valuation of Large Variable Annuity Portfolios: Monte Carlo Simulation and Synthetic Datasets. Data 3(3): 31 (2018) - [e1]Guojun Gan, Bohan Li, Xue Li, Shuliang Wang:
Advanced Data Mining and Applications - 14th International Conference, ADMA 2018, Nanjing, China, November 16-18, 2018, Proceedings. Lecture Notes in Computer Science 11323, Springer 2018, ISBN 978-3-030-05089-4 [contents] - 2017
- [j7]Guojun Gan, Michael Kwok-Po Ng:
k-means clustering with outlier removal. Pattern Recognit. Lett. 90: 8-14 (2017) - [c7]Guojun Gan, Jimmy Xiangji Huang:
A Data Mining Framework for Valuing Large Portfolios of Variable Annuities. KDD 2017: 1467-1475 - 2016
- [j6]Guojun Gan, Yuping Zhang, Dipak K. Dey:
Clustering by propagating probabilities between data points. Appl. Soft Comput. 41: 390-399 (2016) - 2015
- [j5]Guojun Gan, Michael Kwok-Po Ng:
Subspace clustering using affinity propagation. Pattern Recognit. 48(4): 1455-1464 (2015) - [j4]Guojun Gan, Michael Kwok-Po Ng:
Subspace clustering with automatic feature grouping. Pattern Recognit. 48(11): 3703-3713 (2015) - [c6]Guojun Gan:
Application of metamodeling to the valuation of large variable annuity portfolios. WSC 2015: 1103-1114 - [c5]Guojun Gan:
A multi-asset monte carlo simulation model for the valuation of variable annuities. WSC 2015: 3162-3163
2000 – 2009
- 2009
- [j3]Guojun Gan, J. Wu, Z. Yang:
A genetic fuzzy k-Modes algorithm for clustering categorical data. Expert Syst. Appl. 36(2): 1615-1620 (2009) - 2008
- [j2]Guojun Gan, Jianhong Wu:
A convergence theorem for the fuzzy subspace clustering (FSC) algorithm. Pattern Recognit. 41(6): 1939-1947 (2008) - [c4]Zijiang Yang, Guojun Gan:
Application of Fuzzy Classification in Bankruptcy Prediction. ICIC (1) 2008: 921-928 - 2007
- [b1]Guojun Gan, Chaoqun Ma, Jianhong Wu:
Data clustering - theory, algorithms, and applications. SIAM 2007, pp. I-XXII, 1-466 - 2006
- [c3]Guojun Gan, Jianhong Wu, Zijiang Yang:
A Fuzzy Subspace Algorithm for Clustering High Dimensional Data. ADMA 2006: 271-278 - [c2]Guojun Gan, Jianhong Wu, Zijiang Yang:
PARTCAT: A Subspace Clustering Algorithm for High Dimensional Categorical Data. IJCNN 2006: 4406-4412 - 2005
- [c1]Guojun Gan, Zijiang Yang, Jianhong Wu:
A Genetic k-Modes Algorithm for Clustering Categorical Data. ADMA 2005: 195-202 - 2004
- [j1]Guojun Gan, Jianhong Wu:
Subspace clustering for high dimensional categorical data. SIGKDD Explor. 6(2): 87-94 (2004)
Coauthor Index
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