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Xudong Sun
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Cited by
Year
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
3162019
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
622019
First investigations on noisy model-based multi-objective optimization
D Horn, M Dagge, X Sun, B Bischl
International conference on evolutionary multi-criterion optimization, 298-313, 2017
182017
ReinBo: Machine learning pipeline conditional hierarchy search and configuration with Bayesian optimization embedded reinforcement learning
X Sun, J Lin, B Bischl
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
15*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 (3), 441-453, 2018
132018
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
12*2019
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
92019
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
82017
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
72019
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
4*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
4*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
32020
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization
X Sun, F Buettner
ICLR 2021 RobustML workshop, https://arxiv.org/pdf/2101.09436.pdf, 2021
2*2021
Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems
MUB Niazi, J Cao, X Sun, A Das, KH Johansson
arXiv preprint arXiv:2210.01476, 2022
12022
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
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
https://edoc.ub.uni-muenchen.de/28669/, 2021
2021
paradox: Define and Work with Parameter Spaces for Complex Algorithms
MB Michel Lang, Bernd Bischl, Jakob Richter, Xudong Sun, Martin Binder
https://cran.r-project.org/web/packages/paradox/index.html, 2019
2019
Variational inference based assessment of mammographic lesion classification algorithms under distribution shift
A Gossmann, KH Cha, X Sun
NeurIPS 2019 workshop: Medical Imaging meets NeurIPS 2019, 2019
2019
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