Kaifeng Yang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 29

Top Topics

Global Optimization

Multiobjective Evolutionary Algorithms

Symbolic Regression

Reference Points

Top Venues

Publications

Bowei Dong, Yuliang Liu, Kaifeng Yang, Jiajian Cao
Realistic Pulse Waveforms Estimation via Contrastive Learning in Remote Photoplethysmography. IEEE Trans. Instrum. Meas. 73 (2024)
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
A Functional Analysis Approach to Symbolic Regression. CoRR (2024)
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
A Functional Analysis Approach to Symbolic Regression. GECCO (2024)
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
Challenges of ELA-Guided Function Evolution Using Genetic Programming. IJCCI (2023)
Weidong Zhu, Jun Sun, Simin Wang, Kaifeng Yang, Jifeng Shen, Xin Zhou
Segmentation and recognition of filed sweet pepper based on improved self-attention convolutional neural networks. Multim. Syst. 29 (1) (2023)
Kaifeng Yang, Michael Affenzeller
Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression. EMO (2023)
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
Challenges of ELA-guided Function Evolution using Genetic Programming. CoRR (2023)
Bernhard Werth, Johannes Karder, Andreas Beham, Erik Pitzer, Kaifeng Yang, Stefan Wagner
Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures. GECCO Companion (2023)
Kaifeng Yang, Sixuan Liu, Michael Affenzeller, Guozhi Dong
Gradients of Acquisition Functions for Bi-objective Bayesian optimization. ICNC-FSKD (2023)
Kaifeng Yang, Kai Chen, Michael Affenzeller, Bernhard Werth
A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement. GECCO Companion (2023)
Hao Wang, Kaifeng Yang, Michael Affenzeller, Michael Emmerich
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization. CoRR (2022)
Kaifeng Yang, Guozhi Dong, Michael Affenzeller
A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement. CoRR (2022)
Kaifeng Yang, Yuliang Liu, Shiwen Zhang, Jiajian Cao
Surface Defect Detection of Heat Sink Based on Lightweight Fully Convolutional Network. IEEE Trans. Instrum. Meas. 71 (2022)
Jun Sun, Kaifeng Yang, Xiaofei He, Yuanqiu Luo, Xiaohong Wu, Jifeng Shen
Beet seedling and weed recognition based on convolutional neural network and multi-modality images. Multim. Tools Appl. 81 (4) (2022)
Kaifeng Yang, Michael Affenzeller, Guozhi Dong
A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement. Swarm Evol. Comput. 75 (2022)
Michael Affenzeller, Michael Bögl, Lukas Fischer, Florian Sobieczky, Kaifeng Yang, Jan Zenisek
Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way. SYNASC (2022)
Jun Sun, Kaifeng Yang, Chen Chen, Jifeng Shen, Yu Yang, Xiaohong Wu, Tomas Norton
Wheat head counting in the wild by an augmented feature pyramid networks-based convolutional neural network. Comput. Electron. Agric. 193 (2022)
Kaifeng Yang, Michael Affenzeller
Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging. ISM (2021)
Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient. Swarm Evol. Comput. 44 (2019)
Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms. CoRR (2019)
Kaifeng Yang, Pramudita Satria Palar, Michael Emmerich, Koji Shimoyama, Thomas Bäck
A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization. GECCO (2019)
André H. Deutz, Michael Emmerich, Kaifeng Yang
The Expected R2-Indicator Improvement for Multi-objective Bayesian Optimization. EMO (2019)
Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
Efficient computation of expected hypervolume improvement using box decomposition algorithms. J. Glob. Optim. 75 (1) (2019)
Pramudita Satria Palar, Kaifeng Yang, Koji Shimoyama, Michael Emmerich, Thomas Bäck
Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement. GECCO (2018)
Yali Wang, Longmei Li, Kaifeng Yang, Michael T. M. Emmerich
A new approach to target region based multiobjective evolutionary algorithms. CEC (2017)
Kaifeng Yang, Michael Emmerich, André H. Deutz, Carlos M. Fonseca
Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time. EMO (2017)
Kaifeng Yang, André H. Deutz, Zhiwei Yang, Thomas Bäck, Michael T. M. Emmerich
Truncated expected hypervolume improvement: Exact computation and application. CEC (2016)
Kaifeng Yang, Longmei Li, André H. Deutz, Thomas Bäck, Michael Emmerich
Preference-based multiobjective optimization using truncated expected hypervolume improvement. ICNC-FSKD (2016)
Zhiwei Yang, Hao Wang, Kaifeng Yang, Thomas Bäck, Michael Emmerich
SMS-EMOA with multiple dynamic reference points. ICNC-FSKD (2016)
Iris Hupkens, André H. Deutz, Kaifeng Yang, Michael T. M. Emmerich
Faster Exact Algorithms for Computing Expected Hypervolume Improvement. EMO (2) (2015)
Kaifeng Yang, Daniel Gaida, Thomas Bäck, Michael Emmerich
Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant. CEC (2015)
Kaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang, Thomas Bäck
Power Distribution Network Reconfiguration by Evolutionary Integer Programming. PPSN (2014)