Discovering Hidden Course Requirements and Student Competences from Grade Data. - Mara Houbraken; Chang Sun 001; Evgueni N. Smirnov; Kurt Driessens (UMAP (Adjunct Publication), 2017)

Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data. - Johan van Soest; Chang Sun 001; Ole Mussmann; Marco Puts; Bob van den Berg; Alexander Malic; Claudia van Oppen; David Townend; Andre Dekker; Michel Dumontier (MIE, 2018)

Analyzing Partitioned FAIR Health Data Responsibly. - Chang Sun 001; Lianne Ippel; Birgit Wouters; Johan van Soest; Alexander Malic; Onaopepo Adekunle; Bob van den Berg; Marco Puts; Ole Mussmann; Annemarie Koster; Carla van der Kallen; David Townend; et al. (CoRR, 2018)

A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario. - Chang Sun 001; Lianne Ippel; Johan van Soest; Birgit Wouters; Alexander Malic; Onaopepo Adekunle; Bob van den Berg; Ole Mussmann; Annemarie Koster; Carla van der Kallen; Claudia van Oppen; David Townend; et al. (MedInfo, 2019)

Transformation and Integration of Heterogeneous Health Data in a Privacy-preserving Distributed Learning Infrastructure. - Chang Sun 001; Vincent Emonet; Johan van Soest; Annemarie Koster; Andre Dekker; Michel Dumontier (SWAT4HCLS, 2019)

Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent. - Erik-Jan van Kesteren; Chang Sun 001; Daniel L. Oberski; Michel Dumontier; Lianne Ippel (CoRR, 2019)

Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019. - Nacira Abbas; Kholoud Alghamdi; Mortaza Alinam; Francesca Alloatti; Glenda C. M. Amaral; Claudia d'Amato; Luigi Asprino; Martin Beno; Felix Bensmann; Russa Biswas; Ling Cai; Riley Capshaw; et al. (CoRR, 2020)

A systematic review on privacy-preserving distributed data mining. - Chang Sun 001; Lianne Ippel; Andre Dekker; Michel Dumontier; Johan van Soest (Data Sci., 2021)

Comparison results of FAIR Evaluation tools. - Chang Sun 001; Vincent Emonet; Michel Dumontier (Zenodo, 2021)

A Comprehensive Comparison of Automated FAIRness Evaluation Tools. - Chang Sun 001; Vincent Emonet; Michel Dumontier (SWAT4HCLS, 2022)

Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs. - Chang Sun 001; Johan van Soest; Michel Dumontier (CoRR, 2022)

Studying the association of diabetes and healthcare cost on distributed data from the Maastricht Study and Statistics Netherlands using a privacy-preserving federated learning infrastructure. - Chang Sun 001; Johan van Soest; Annemarie Koster; Simone J. P. M. Eussen; Miranda T. Schram; Coen D. A. Stehouwer; Pieter C. Dagnelie; Michel Dumontier (J. Biomed. Informatics, 2022)

Analyze Decentralized Personal Health Data Using Solid, Digital Consent, and Federated Learning. - Chang Sun 001; Johan van Soest; Michel Dumontier (SWAT4HCLS, 2023)

Deep Generative Models for Synthetic Data: A Survey. - Peter Eigenschink; Thomas Reutterer; Stefan Vamosi; Ralf Vamosi; Chang Sun 001; Klaudius Kalcher (IEEE Access, 2023)

TAPS Responsibility Matrix: A tool for responsible data science by design. - Visara Urovi; Remzi Celebi; Chang Sun 001; Linda Rieswijk; Michael Erard; Arif Yilmaz; Kody Moodley; Parveen Kumar; Michel Dumontier (CoRR, 2023)

Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy. - Chang Sun 001; Johan van Soest; Michel Dumontier (J. Biomed. Informatics, 2023)

ciTIzen-centric DAta pLatform (TIDAL): Sharing distributed personal data in a privacy-preserving manner for health research. - Chang Sun 001; Marc Gallofré Ocaña; Johan van Soest; Michel Dumontier (Semantic Web, 2023)

Mitigating Class Imbalance in Time Series with Enhanced Diffusion Models. - Ryan Sijstermans; Chang Sun 001; Enrique Hortal (IWINAC (2), 2024)

Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges. - Mahmoud Ibrahim; Yasmina Al Khalil; Sina Amirrajab; Chang Sun 001; Marcel Breeuwer; Josien P. W. Pluim; Bart Elen; Gökhan Ertaylan; Michel Dumontier (CoRR, 2024)

Using Clinical Guidelines, Domain Ontology, and LLMs for Personalized Leukemia Treatment Recommendations. - Xingru Xu; Michel Dumontier; Chang Sun 001 (SeWeBMeDA@ESWC, 2025)

Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges. - Mahmoud K. Ibrahim; Yasmina Al Khalil; Sina Amirrajab; Chang Sun 001; Marcel Breeuwer; Josien P. W. Pluim; Bart Elen; Gökhan Ertaylan; Michel Dumontier (Comput. Biol. Medicine, 2025)

Generating unseen diseases patient data using ontology enhanced generative adversarial networks. - Chang Sun 001; Michel Dumontier (npj Digit. Medicine, 2025)

Towards Computer-Using Personal Agents. - Piero A. Bonatti; John Domingue; Anna Lisa Gentile; Andreas Harth; Olaf Hartig; Aidan Hogan; Katja Hose; Ernesto Jiménez-Ruiz; Deborah L. McGuinness; Chang Sun 001; Ruben Verborgh; Jesse Wright (CoRR, 2025)

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering. - Aditya Shourya; Michel Dumontier; Chang Sun 001 (CoRR, 2025)