| 2025 | CEC | Efficient Federated Bayesian Optimization with Symbolic Regression Model. | Xilu Wang, Kaifeng Yang, Peng Liao, Mengxuan Zhang, Yaochu Jin |
| 2024 | GECCO | A Functional Analysis Approach to Symbolic Regression. | Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bck, Niki van Stein, Anna V. Kononova |
| 2024 | ICML | Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization. | Hao Wang, Kaifeng Yang, Michael Affenzeller |
| 2023 | EMO | Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression. | Kaifeng Yang, Michael Affenzeller |
| 2023 | GECCO | Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures. | Bernhard Werth, Johannes Karder, Andreas Beham, Erik Pitzer, Kaifeng Yang, Stefan Wagner |
| 2023 | GECCO | A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement. | Kaifeng Yang, Kai Chen, Michael Affenzeller, Bernhard Werth |
| 2023 | ICNC | Gradients of Acquisition Functions for Bi-objective Bayesian optimization. | Kaifeng Yang, Sixuan Liu, Michael Affenzeller, Guozhi Dong |
| 2023 | IJCCI | Challenges of ELA-Guided Function Evolution Using Genetic Programming. | Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bck, Niki van Stein |
| 2022 | SYNASC | Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way. | Michael Affenzeller, Michael Bgl, Lukas Fischer, Florian Sobieczky, Kaifeng Yang, Jan Zenisek |
| 2019 | EMO | The Expected R2-Indicator Improvement for Multi-objective Bayesian Optimization. | Andr H. Deutz, Michael Emmerich, Kaifeng Yang |
| 2019 | GECCO | A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization. | Kaifeng Yang, Pramudita Satria Palar, Michael Emmerich, Koji Shimoyama, Thomas Bck |
| 2018 | GECCO | Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement. | Pramudita Satria Palar, Kaifeng Yang, Koji Shimoyama, Michael Emmerich, Thomas Bck |
| 2017 | CEC | A new approach to target region based multiobjective evolutionary algorithms. | Yali Wang, Longmei Li, Kaifeng Yang, Michael T. M. Emmerich |
| 2017 | EMO | Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time. | Kaifeng Yang, Michael Emmerich, Andr H. Deutz, Carlos M. Fonseca |
| 2016 | CEC | Truncated expected hypervolume improvement: Exact computation and application. | Kaifeng Yang, Andr H. Deutz, Zhiwei Yang, Thomas Bck, Michael T. M. Emmerich |
| 2016 | ICNC | Preference-based multiobjective optimization using truncated expected hypervolume improvement. | Kaifeng Yang, Longmei Li, Andr H. Deutz, Thomas Bck, Michael Emmerich |
| 2016 | ICNC | SMS-EMOA with multiple dynamic reference points. | Zhiwei Yang, Hao Wang, Kaifeng Yang, Thomas Bck, Michael Emmerich |
| 2015 | CEC | Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant. | Kaifeng Yang, Daniel Gaida, Thomas Bck, Michael Emmerich |
| 2015 | EMO | Faster Exact Algorithms for Computing Expected Hypervolume Improvement. | Iris Hupkens, Andr H. Deutz, Kaifeng Yang, Michael T. M. Emmerich |
| 2014 | PPSN | Power Distribution Network Reconfiguration by Evolutionary Integer Programming. | Kaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang, Thomas Bck |