SemPMF: Semantic Inclusion by Probabilistic Matrix Factorization for Recommender System. - Nidhi Kushwaha; Xudong Sun 002; O. P. Vyas 001; Artus Krohn-Grimberghe (PAAMS (Special Sessions), 2016)

First Investigations on Noisy Model-Based Multi-objective Optimization. - Daniel Horn; Melanie Dagge; Xudong Sun 002; Bernd Bischl (EMO, 2017)

A Lesson learned from PMF based approach for Semantic Recommender System. - Nidhi Kushwaha; Xudong Sun 002; Bharat Singh; O. P. Vyas 001 (J. Intell. Inf. Syst., 2018)

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. - Rui Zhao 011; Xudong Sun 002; Volker Tresp (ICML, 2019)

High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions. - Xudong Sun 002; Andrea Bommert; Florian Pfisterer; Jörg Rahnenführer; Michel Lang; Bernd Bischl (IntelliSys (1), 2019)

ReinBo: Machine Learning Pipeline Conditional Hierarchy Search and Configuration with Bayesian Optimization Embedded Reinforcement Learning. - Xudong Sun 002; Jiali Lin; Bernd Bischl (PKDD/ECML Workshops (1), 2019)

Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning. - Xudong Sun 002; Bernd Bischl (SSCI, 2019)

Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift. - Xudong Sun 002; Alexej Gossmann; Yu Wang; Bernd Bischl (SSCI, 2019)

ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning. - Xudong Sun 002; Jiali Lin; Bernd Bischl (CoRR, 2019)

Resampling-based Assessment of Robustness to Distribution Shift for Deep Neural Networks. - Xudong Sun 002; Yu Wang; Alexej Gossmann; Bernd Bischl (CoRR, 2019)

Benchmarking time series classification - Functional data vs machine learning approaches. - Florian Pfisterer; Laura Beggel; Xudong Sun 002; Fabian Scheipl; Bernd Bischl (CoRR, 2019)

Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift. - Alexej Gossmann; Kenny H. Cha; Xudong Sun 002 (Computer-Aided Diagnosis, 2020)

Benchmark for filter methods for feature selection in high-dimensional classification data. - Andrea Bommert; Xudong Sun 002; Bernd Bischl; Jörg Rahnenführer; Michel Lang (Comput. Stat. Data Anal., 2020)

Machine learning model selection with multi-objective Bayesian optimization and reinforcement learning: case studies on functional data analysis, pipeline tuning and shifted distribution. - Xudong Sun 002 (2021)

Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems. - Muhammad Umar B. Niazi; John Cao; Xudong Sun 002; Amritam Das; Karl Henrik Johansson (ACC, 2023)

Deep Unsupervised Clustering for Conditional Identification of Subgroups Within a Digital Pathology Image Set. - Mariia Sidulova; Xudong Sun 002; Alexej Gossmann (MICCAI (8), 2023)

Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms. - Yu Xing; Xudong Sun 002; Karl Henrik Johansson (CoRR, 2023)

M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling. - Xudong Sun 002; Nutan Chen; Alexej Gossmann; Yu Xing; Carla Feistner; Emilio Dorigatt; Felix Drost; Daniele Scarcella; Lisa Beer; Carsten Marr (CoRR, 2024)

DomainLab: A modular Python package for domain generalization in deep learning. - Xudong Sun 002; Carla Feistner; Alexej Gossmann; George Schwarz; Rao Muhammad Umer; Lisa Beer; Patrick Rockenschaub; Rahul Babu Shrestha; Armin Gruber; Nutan Chen; Sayedali Shetab Boushehri; Florian Buettner 001; et al. (CoRR, 2024)

M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling. - Xudong Sun 002; Nutan Chen; Alexej Gossmann; Yu Xing; Matteo Wohlrapp; Emilio Dorigatti; Carla Feistner; Felix Drost; Daniele Scarcella; Lisa Beer; Carsten Marr (AISTATS, 2025)

Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling. - Xudong Sun 002; Alex Markham; Pratik Misra; Carsten Marr (CoRR, 2025)