Kaifeng Yang

40 papers A* 1A 4B 4C 5Misc 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Composite model predictive current control for PMSM servo system.
Trans. Inst. Meas. Control
Kaifeng Yang, Haifeng Li, Shihua Li
2025 B conf
Efficient Federated Bayesian Optimization with Symbolic Regression Model.
CEC
Xilu Wang, Kaifeng Yang, Peng Liao, Mengxuan Zhang, Yaochu Jin
2024 A conf
A Functional Analysis Approach to Symbolic Regression.
GECCO
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
2024 J jnl
A Functional Analysis Approach to Symbolic Regression.
CoRR
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
2024 — conf
Age-Layer-Population-Structure with Self-adaptation in Optimization.
EUROCAST (3)
Kaifeng Yang, Bernhard Werth, Michael Affenzeller
2024 J jnl
Population diversity and inheritance in genetic programming for symbolic regression.
Nat. Comput.
Bogdan Burlacu, Kaifeng Yang, Michael Affenzeller
2024 A* conf
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization.
ICML
Hao Wang, Kaifeng Yang, Michael Affenzeller
2024 J jnl
Realistic Pulse Waveforms Estimation via Contrastive Learning in Remote Photoplethysmography.
IEEE Trans. Instrum. Meas.
Bowei Dong, Yuliang Liu, Kaifeng Yang, Jiajian Cao
2023 — conf
A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement.
GECCO Companion
Kaifeng Yang, Kai Chen, Michael Affenzeller, Bernhard Werth
2023 — ch.
Bayesian Optimization.
Many-Criteria Optimization and Decision Analysis
Hao Wang, Kaifeng Yang
2023 C conf
Challenges of ELA-Guided Function Evolution Using Genetic Programming.
IJCCI
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
2023 J jnl
Challenges of ELA-guided Function Evolution using Genetic Programming.
CoRR
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
2023 — conf
Gradients of Acquisition Functions for Bi-objective Bayesian optimization.
ICNC-FSKD
Kaifeng Yang, Sixuan Liu, Michael Affenzeller, Guozhi Dong
2023 J jnl
Segmentation and recognition of filed sweet pepper based on improved self-attention convolutional neural networks.
Multim. Syst.
Weidong Zhu, Jun Sun, Simin Wang, Kaifeng Yang, Jifeng Shen, Xin Zhou
2023 C conf
Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression.
EMO
Kaifeng Yang, Michael Affenzeller
2023 — conf
Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures.
GECCO Companion
Bernhard Werth, Johannes Karder, Andreas Beham, Erik Pitzer, Kaifeng Yang, Stefan Wagner
2022 J jnl
A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement.
CoRR
Kaifeng Yang, Guozhi Dong, Michael Affenzeller
2022 J jnl
A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement.
Swarm Evol. Comput.
Kaifeng Yang, Michael Affenzeller, Guozhi Dong
2022 J jnl
Beet seedling and weed recognition based on convolutional neural network and multi-modality images.
Multim. Tools Appl.
Jun Sun, Kaifeng Yang, Xiaofei He, Yuanqiu Luo, Xiaohong Wu, Jifeng Shen
2022 Misc conf
Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way.
SYNASC
Michael Affenzeller, Michael Bögl, Lukas Fischer, Florian Sobieczky, Kaifeng Yang, Jan Zenisek
2022 J jnl
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization.
CoRR
Hao Wang, Kaifeng Yang, Michael Affenzeller, Michael Emmerich
2022 J jnl
Surface Defect Detection of Heat Sink Based on Lightweight Fully Convolutional Network.
IEEE Trans. Instrum. Meas.
Kaifeng Yang, Yuliang Liu, Shiwen Zhang, Jiajian Cao
2022 J jnl
Wheat head counting in the wild by an augmented feature pyramid networks-based convolutional neural network.
Comput. Electron. Agric.
Jun Sun, Kaifeng Yang, Chen Chen, Jifeng Shen, Yu Yang, Xiaohong Wu, Tomas Norton
2021 C conf
Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging.
ISM
Kaifeng Yang, Michael Affenzeller
2020 — ch.
Infill Criteria for Multiobjective Bayesian Optimization.
High-Performance Simulation-Based Optimization
Michael T. M. Emmerich, Kaifeng Yang, André H. Deutz
2019 A conf
A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization.
GECCO
Kaifeng Yang, Pramudita Satria Palar, Michael Emmerich, Koji Shimoyama, Thomas Bäck
2019 J jnl
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms.
CoRR
Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019 J jnl
Efficient computation of expected hypervolume improvement using box decomposition algorithms.
J. Glob. Optim.
Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019 J jnl
Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient.
Swarm Evol. Comput.
Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019 C conf
The Expected R2-Indicator Improvement for Multi-objective Bayesian Optimization.
EMO
André H. Deutz, Michael Emmerich, Kaifeng Yang
2018 A conf
Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement.
GECCO
Pramudita Satria Palar, Kaifeng Yang, Koji Shimoyama, Michael Emmerich, Thomas Bäck
2017 B conf
A new approach to target region based multiobjective evolutionary algorithms.
CEC
Yali Wang, Longmei Li, Kaifeng Yang, Michael T. M. Emmerich
2017 C conf
Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time.
EMO
Kaifeng Yang, Michael Emmerich, André H. Deutz, Carlos M. Fonseca
2016 — ch.
A Multicriteria Generalization of Bayesian Global Optimization.
Advances in Stochastic and Deterministic Global Optimization
Michael Emmerich, Kaifeng Yang, André H. Deutz, Hao Wang, Carlos M. Fonseca
2016 — conf
Preference-based multiobjective optimization using truncated expected hypervolume improvement.
ICNC-FSKD
Kaifeng Yang, Longmei Li, André H. Deutz, Thomas Bäck, Michael Emmerich
2016 — conf
SMS-EMOA with multiple dynamic reference points.
ICNC-FSKD
Zhiwei Yang, Hao Wang, Kaifeng Yang, Thomas Bäck, Michael Emmerich
2016 B conf
Truncated expected hypervolume improvement: Exact computation and application.
CEC
Kaifeng Yang, André H. Deutz, Zhiwei Yang, Thomas Bäck, Michael T. M. Emmerich
2015 B conf
Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant.
CEC
Kaifeng Yang, Daniel Gaida, Thomas Bäck, Michael Emmerich
2015 — conf
Faster Exact Algorithms for Computing Expected Hypervolume Improvement.
EMO (2)
Iris Hupkens, André H. Deutz, Kaifeng Yang, Michael T. M. Emmerich
2014 A conf
Power Distribution Network Reconfiguration by Evolutionary Integer Programming.
PPSN
Kaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang, Thomas Bäck