Kaifeng Yang

According to our database, Kaifeng Yang authored at least 34 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Population diversity and inheritance in genetic programming for symbolic regression.

Bogdan Burlacu, Kaifeng Yang, Michael Affenzeller

Nat. Comput., September, 2024

Realistic Pulse Waveforms Estimation via Contrastive Learning in Remote Photoplethysmography.

Bowei Dong, Yuliang Liu, Kaifeng Yang, Jiajian Cao

IEEE Trans. Instrum. Meas., 2024

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization.

Hao Wang, Kaifeng Yang, Michael Affenzeller

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Functional Analysis Approach to Symbolic Regression.

Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Challenges of ELA-based Function Evolution using Genetic Programming - Reproducability files.

Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein

Dataset, May, 2023

Bayesian Optimization.

Hao Wang, Kaifeng Yang

Proceedings of the Many-Criteria Optimization and Decision Analysis: State-of-the-Art, 2023

Segmentation and recognition of filed sweet pepper based on improved self-attention convolutional neural networks.

Weidong Zhu, Jun Sun, Simin Wang, Kaifeng Yang, Jifeng Shen, Xin Zhou

Multim. Syst., 2023

Challenges of ELA-Guided Function Evolution Using Genetic Programming.

Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Gradients of Acquisition Functions for Bi-objective Bayesian optimization.

Kaifeng Yang, Sixuan Liu, Michael Affenzeller, Guozhi Dong

Proceedings of the 19th International Conference on Natural Computation, 2023

A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement.

Kaifeng Yang, Kai Chen, Michael Affenzeller, Bernhard Werth

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures.

Bernhard Werth, Johannes Karder, Andreas Beham, Erik Pitzer, Kaifeng Yang, Stefan Wagner

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression.

Kaifeng Yang, Michael Affenzeller

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

Surface Defect Detection of Heat Sink Based on Lightweight Fully Convolutional Network.

Kaifeng Yang, Yuliang Liu, Shiwen Zhang, Jiajian Cao

IEEE Trans. Instrum. Meas., 2022

A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement.

Kaifeng Yang, Michael Affenzeller, Guozhi Dong

Swarm Evol. Comput., 2022

Beet seedling and weed recognition based on convolutional neural network and multi-modality images.

Jun Sun, Kaifeng Yang, Xiaofei He, Yuanqiu Luo, Xiaohong Wu, Jifeng Shen

Multim. Tools Appl., 2022

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization.

Hao Wang, Kaifeng Yang, Michael Affenzeller, Michael Emmerich

CoRR, 2022

Wheat head counting in the wild by an augmented feature pyramid networks-based convolutional neural network.

Jun Sun, Kaifeng Yang, Chen Chen, Jifeng Shen, Yu Yang, Xiaohong Wu, Tomas Norton

Comput. Electron. Agric., 2022

Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way.

Michael Affenzeller, Michael Bögl, Lukas Fischer, Florian Sobieczky, Kaifeng Yang, Jan Zenisek

Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022

2021

Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging.

Kaifeng Yang, Michael Affenzeller

Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

2020

Infill Criteria for Multiobjective Bayesian Optimization.

Michael T. M. Emmerich, Kaifeng Yang, André H. Deutz

Proceedings of the High-Performance Simulation-Based Optimization, 2020

2019

Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient.

Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck

Swarm Evol. Comput., 2019

Efficient computation of expected hypervolume improvement using box decomposition algorithms.

Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck

J. Glob. Optim., 2019

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 Bäck

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

The Expected R2-Indicator Improvement for Multi-objective Bayesian Optimization.

André H. Deutz, Michael Emmerich, Kaifeng Yang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018

Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement.

Pramudita Satria Palar, Kaifeng Yang, Koji Shimoyama, Michael Emmerich, Thomas Bäck

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time.

Kaifeng Yang, Michael Emmerich, André H. Deutz, Carlos M. Fonseca

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

A new approach to target region based multiobjective evolutionary algorithms.

Yali Wang, Longmei Li, Kaifeng Yang, Michael T. M. Emmerich

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

SMS-EMOA with multiple dynamic reference points.

Zhiwei Yang, Hao Wang, Kaifeng Yang, Thomas Bäck, Michael Emmerich

Proceedings of the 12th International Conference on Natural Computation, 2016

Preference-based multiobjective optimization using truncated expected hypervolume improvement.

Kaifeng Yang, Longmei Li, André H. Deutz, Thomas Bäck, Michael Emmerich

Proceedings of the 12th International Conference on Natural Computation, 2016

Truncated expected hypervolume improvement: Exact computation and application.

Kaifeng Yang, André H. Deutz, Zhiwei Yang, Thomas Bäck, Michael T. M. Emmerich

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Multicriteria Generalization of Bayesian Global Optimization.

Michael Emmerich, Kaifeng Yang, André H. Deutz, Hao Wang, Carlos M. Fonseca

Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015

Faster Exact Algorithms for Computing Expected Hypervolume Improvement.

Iris Hupkens, André H. Deutz, Kaifeng Yang, Michael T. M. Emmerich

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant.

Kaifeng Yang, Daniel Gaida, Thomas Bäck, Michael Emmerich

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Power Distribution Network Reconfiguration by Evolutionary Integer Programming.

Kaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang, Thomas Bäck

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014