| 2022 | WSC | Metamodeling for Variable Annuity Valuation: 10 Years Beyond Kriging. | Guojun Gan |
| 2020 | CVPR | Maintaining Discrimination and Fairness in Class Incremental Learning. | Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia |
| 2020 | ICASSP | Self-Paced Probabilistic Principal Component Analysis For Data With Outliers. | Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Guojun Gan, Shutao Xia |
| 2019 | KSEM | Deep Neighbor Embedding for Evaluation of Large Portfolios of Variable Annuities. | Xiaojuan Cheng, Wei Luo, Guojun Gan, Gang Li |
| 2019 | PRICAI | Fast Valuation of Large Portfolios of Variable Annuities via Transfer Learning. | Xiaojuan Cheng, Wei Luo, Guojun Gan, Gang Li |
| 2017 | KDD | A Data Mining Framework for Valuing Large Portfolios of Variable Annuities. | Guojun Gan, Jimmy Xiangji Huang |
| 2015 | WSC | Application of metamodeling to the valuation of large variable annuity portfolios. | Guojun Gan |
| 2015 | WSC | A multi-asset monte carlo simulation model for the valuation of variable annuities. | Guojun Gan |
| 2006 | ADMA | A Fuzzy Subspace Algorithm for Clustering High Dimensional Data. | Guojun Gan, Jianhong Wu, Zijiang Yang |
| 2006 | IJCNN | PARTCAT: A Subspace Clustering Algorithm for High Dimensional Categorical Data. | Guojun Gan, Jianhong Wu, Zijiang Yang |
| 2005 | ADMA | A Genetic | Guojun Gan, Zijiang Yang, Jianhong Wu |