| 2019 | SMC | A Mahalanobis Distance-Based Fitness Approximation Method for Estimation of Distribution Algorithms in Solving Expensive Optimization Problems. | Yongsheng Liang, Zhigang Ren, Yang Yang, An Chen, Daofu Guo, Bei Pang |
| 2018 | GECCO | A historical interdependency based differential grouping algorithm for large scale global optimization. | An Chen, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang |
| 2018 | GECCO | A global information based adaptive threshold for grouping large scale optimization problems. | An Chen, Yipeng Zhang, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang |
| 2018 | GECCO | Niching an archive-based gaussian estimation of distribution algorithm via adaptive clustering. | Yongsheng Liang, Zhigang Ren, Bei Pang, An Chen |
| 2018 | GECCO | Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate models. | Bei Pang, Zhigang Ren, Yongsheng Liang, An Chen |
| 2017 | CEC | Inferior solutions in Gaussian EDA: Useless or useful? | Yongsheng Liang, Zhigang Ren, Lin Wang, Bei Pang, Mohammad Moinul Hossain |
| 2017 | GECCO | An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems. | Zhigang Ren, An Chen, Lin Wang, Yongsheng Liang, Bei Pang |
| 2016 | ITiCSE | Automated Feedback Framework for Introductory Programming Courses. | Jianxiong Gao, Bei Pang, Steven S. Lumetta |