Xudong Sun
Xudong Sun
Control and Statistics, Helmholtz Munich
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Cited by
Cited by
Benchmark for filter methods for feature selection in high-dimensional classification data
A Bommert, X Sun, B Bischl, J Rahnenführer, M Lang
Computational Statistics & Data Analysis, 106839, 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
R Zhao, X Sun, V Tresp
Proceedings of the 36th International Conference on Machine Learning, 7553--7562, 2019
First investigations on noisy model-based multi-objective optimization
D Horn, M Dagge, X Sun, B Bischl
Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning
X Sun, B Bischl
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019
ReinBo: Machine learning pipeline conditional hierarchy search and configuration with Bayesian optimization embedded reinforcement learning
X Sun, J Lin, B Bischl
Machine Learning and Knowledge Discovery in Databases: International …, 2020
Learning-based design of Luenberger observers for autonomous nonlinear systems
MUB Niazi, J Cao, X Sun, A Das, KH Johansson
2023 American Control Conference (ACC), 3048-3055, 2023
Benchmarking time series classification--Functional data vs machine learning approaches
F Pfisterer, L Beggel, X Sun, F Scheipl, B Bischl
arXiv preprint arXiv:1911.07511, 2019
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions
X Sun, A Bommert, F Pfisterer, J Rahnenführer, M Lang, B Bischl
Intelligent Systems and Applications, 629--647, 2019
A Lesson learned from PMF based approach for Semantic Recommender System
N Kushwaha, X Sun, B Singh, OP Vyas
Journal of Intelligent Information Systems 50, 441-453, 2018
Detecting Chinese calligraphy style consistency by deep learning and one-class SVM
Z Jiulong, G Luming, Y Su, S Xudong, L Xiaoshan
2017 2nd International Conference on Image, Vision and Computing (ICIVC), 83-86, 2017
Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift
X Sun, A Gossmann, Y Wang, B Bischl
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019
Implementation and integration of a systematic DBPM calibration with PLL frequency synthesis and FPGA
X Sun, Y Leng
Nuclear Science and Techniques 25 (2), 2014
Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift
A Gossmann, KH Cha, X Sun
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 8-18, 2020
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization
X Sun, F Buettner
ICLR 2021 RobustML workshop,, 2021
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
X Sun, N Chen, A Gossmann, Y Xing, E Dorigatt, F Drost, C Feistner, ..., 2024
Deep Unsupervised Clustering for Conditional Identification of Subgroups Within a Digital Pathology Image Set
M Sidulova, X Sun, A Gossmann
International Conference on Medical Image Computing and Computer-Assisted …, 2023
DomainLab: A modular Python package for domain generalization in deep learning
X Sun, C Feistner, A Gossmann, G Schwarz, RM Umer, L Beer, ..., 2024
Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms
Y Xing, X Sun, KH Johansson
IFAC-PapersOnLine 56 (2), 664-669, 2023
KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health
F Wang, P Chakraborty, T Xu, PYS Hsueh, X Sun, G Stiglic, G Crane, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Machine learning model selection with multi-objective Bayesian optimization and reinforcement learning: case studies on functional data analysis, pipeline tuning and shifted …
X Sun, 2021
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