Chang Sun

According to our database, Chang Sun authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ciTIzen-centric DAta pLatform (TIDAL): Sharing distributed personal data in a privacy-preserving manner for health research.

Chang Sun, Marc Gallofré Ocaña, Johan van Soest, Michel Dumontier

Semantic Web, 2023

Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy.

Chang Sun, Johan van Soest, Michel Dumontier

J. Biomed. Informatics, 2023

TAPS Responsibility Matrix: A tool for responsible data science by design.

Visara Urovi, Remzi Celebi, Chang Sun, Linda Rieswijk, Michael Erard, Arif Yilmaz, Kody Moodley, Parveen Kumar, Michel Dumontier

CoRR, 2023

Deep Generative Models for Synthetic Data: A Survey.

Peter Eigenschink, Thomas Reutterer, Stefan Vamosi, Ralf Vamosi, Chang Sun, Klaudius Kalcher

IEEE Access, 2023

Analyze Decentralized Personal Health Data Using Solid, Digital Consent, and Federated Learning.

Chang Sun, Johan van Soest, Michel Dumontier

Proceedings of the 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), 2023

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, 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

Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs.

Chang Sun, Johan van Soest, Michel Dumontier

CoRR, 2022

A Comprehensive Comparison of Automated FAIRness Evaluation Tools.

Chang Sun, Vincent Emonet, Michel Dumontier

Proceedings of the 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2022

2021

A systematic review on privacy-preserving distributed data mining.

Chang Sun, Lianne Ippel, Andre Dekker, Michel Dumontier, Johan van Soest

Data Sci., 2021

2020

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, Valentina Anita Carriero, Irene Celino, Amine Dadoun, Stefano De Giorgis, Harm Delva, John Domingue, Michel Dumontier, Vincent Emonet, Marieke van Erp, Paola Espinoza-Arias, Omaima Fallatah, Sebastián Ferrada, Marc Gallofré Ocaña, Michalis Georgiou, Genet Asefa Gesese, Frances Gillis-Webber, Francesca Giovannetti, María Granados Buey, Ismail Harrando, Ivan Heibi, Vitor A. C. Horta, Laurine Huber, Federico Igne, Mohamad Yaser Jaradeh, Neha Keshan, Aneta Koleva, Bilal Koteich, Kabul Kurniawan, Mengya Liu, Chuangtao Ma, Lientje Maas, Martin Mansfield, Fabio Mariani, Eleonora Marzi, Sepideh Mesbah, Maheshkumar Mistry, Alba Catalina Morales Tirado, Anna Nguyen, Viet Bach Nguyen, Allard Oelen, Valentina Pasqual, Heiko Paulheim, Axel Polleres, Margherita Porena, Jan Portisch, Valentina Presutti, Kader Pustu-Iren, Ariam Rivas Mendez, Soheil Roshankish, Sebastian Rudolph, Harald Sack, Ahmad Sakor, Jaime Salas, Thomas Schleider, Meilin Shi, Gianmarco Spinaci, Chang Sun, Tabea Tietz, Molka Tounsi Dhouib, Alessandro Umbrico, Wouter van den Berg, Weiqin Xu

CoRR, 2020

2019

Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent.

Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski, Michel Dumontier, Lianne Ippel

CoRR, 2019

Transformation and Integration of Heterogeneous Health Data in a Privacy-preserving Distributed Learning Infrastructure.

Chang Sun, Vincent Emonet, Johan van Soest, Annemarie Koster, Andre Dekker, Michel Dumontier

Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario.

Chang Sun, 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, Andre Dekker, Michel Dumontier

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

Analyzing Partitioned FAIR Health Data Responsibly.

Chang Sun, 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, Andre Dekker, Michel Dumontier

CoRR, 2018

Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data.

Johan van Soest, Chang Sun, Ole Mussmann, Marco Puts, Bob van den Berg, Alexander Malic, Claudia van Oppen, David Townend, Andre Dekker, Michel Dumontier

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

2017

Discovering Hidden Course Requirements and Student Competences from Grade Data.

Mara Houbraken, Chang Sun, Evgueni N. Smirnov, Kurt Driessens

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017