Xudong Sun
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
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
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
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
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
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
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
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
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization
X Sun, F Buettner
ICLR 2021 RobustML workshop,, 2021
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
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
paradox: Define and Work with Parameter Spaces for Complex Algorithms
MB Michel Lang, Bernd Bischl, Jakob Richter, Xudong Sun, Martin Binder, 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
The system can't perform the operation now. Try again later.
Articles 1–20