Chang Sun - RankMe

25 papers Journal 17Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CompDiff: Hierarchical Compositional Diffusion for Fair and Zero-Shot Intersectional Medical Image Generation. CoRR Mahmoud K. Ibrahim, Bart Elen, Chang Sun, Gökhan Ertaylan, Michel Dumontier
2025	J	`jnl`	Adapting Lightweight Vision Language Models for Radiological Visual Question Answering. CoRR Aditya Shourya, Michel Dumontier, Chang Sun
2025	J	`jnl`	Enabling Granular Subgroup Level Model Evaluations by Generating Synthetic Medical Time Series. CoRR Mahmoud K. Ibrahim, Bart Elen, Chang Sun, Gökhan Ertaylan, Michel Dumontier
2025	J	`jnl`	Generating unseen diseases patient data using ontology enhanced generative adversarial networks. npj Digit. Medicine Chang Sun, Michel Dumontier
2025	J	`jnl`	Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges. Comput. Biol. Medicine Mahmoud K. Ibrahim, Yasmina Al Khalil, Sina Amirrajab, Chang Sun, Marcel Breeuwer, Josien P. W. Pluim, Bart Elen, Gökhan Ertaylan, Michel Dumontier
2025	J	`jnl`	Towards Computer-Using Personal Agents. CoRR Piero A. Bonatti, John Domingue, Anna Lisa Gentile, Andreas Harth, Olaf Hartig, Aidan Hogan, Katja Hose, Ernesto Jiménez-Ruiz, Deborah L. McGuinness, Chang Sun, Ruben Verborgh, Jesse Wright
2025	—	`conf`	Using Clinical Guidelines, Domain Ontology, and LLMs for Personalized Leukemia Treatment Recommendations. SeWeBMeDA@ESWC Xingru Xu, Michel Dumontier, Chang Sun
2024	J	`jnl`	Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges. CoRR Mahmoud K. Ibrahim, Yasmina Al Khalil, Sina Amirrajab, Chang Sun, Marcel Breeuwer, Josien P. W. Pluim, Bart Elen, Gökhan Ertaylan, Michel Dumontier
2024	—	`conf`	Mitigating Class Imbalance in Time Series with Enhanced Diffusion Models. IWINAC (2) Ryan Sijstermans, Chang Sun, Enrique Hortal
2023	—	`conf`	Analyze Decentralized Personal Health Data Using Solid, Digital Consent, and Federated Learning. SWAT4HCLS Chang Sun, Johan van Soest, Michel Dumontier
2023	J	`jnl`	Deep Generative Models for Synthetic Data: A Survey. IEEE Access Peter Eigenschink, Thomas Reutterer, Stefan Vamosi, Ralf Vamosi, Chang Sun, Klaudius Kalcher
2023	J	`jnl`	Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy. J. Biomed. Informatics Chang Sun, Johan van Soest, Michel Dumontier
2023	J	`jnl`	TAPS Responsibility Matrix: A tool for responsible data science by design. CoRR Visara Urovi, Remzi Celebi, Chang Sun, Linda Rieswijk, Michael Erard, Arif Yilmaz, Kody Moodley, Parveen Kumar, Michel Dumontier
2023	J	`jnl`	ciTIzen-centric DAta pLatform (TIDAL): Sharing distributed personal data in a privacy-preserving manner for health research. Semantic Web Chang Sun, Marc Gallofré Ocaña, Johan van Soest, Michel Dumontier
2022	—	`conf`	A Comprehensive Comparison of Automated FAIRness Evaluation Tools. SWAT4HCLS Chang Sun, Vincent Emonet, Michel Dumontier
2022	J	`jnl`	Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs. CoRR Chang Sun, Johan van Soest, Michel Dumontier
2022	J	`jnl`	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. J. Biomed. Informatics Chang Sun, Johan van Soest, Annemarie Koster, Simone J. P. M. Eussen, Miranda T. Schram, Coen D. A. Stehouwer, Pieter C. Dagnelie, Michel Dumontier
2021	J	`jnl`	A systematic review on privacy-preserving distributed data mining. Data Sci. Chang Sun, Lianne Ippel, Andre Dekker, Michel Dumontier, Johan van Soest
2020	J	`jnl`	Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019. CoRR 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
2019	—	`conf`	A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario. MedInfo 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
2019	J	`jnl`	Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent. CoRR Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski, Michel Dumontier, Lianne Ippel
2019	—	`conf`	Transformation and Integration of Heterogeneous Health Data in a Privacy-preserving Distributed Learning Infrastructure. SWAT4HCLS Chang Sun, Vincent Emonet, Johan van Soest, Annemarie Koster, Andre Dekker, Michel Dumontier
2018	J	`jnl`	Analyzing Partitioned FAIR Health Data Responsibly. CoRR 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
2018	—	`conf`	Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data. MIE Johan van Soest, Chang Sun, Ole Mussmann, Marco Puts, Bob van den Berg, Alexander Malic, Claudia van Oppen, David Townend, Andre Dekker, Michel Dumontier
2017	—	`conf`	Discovering Hidden Course Requirements and Student Competences from Grade Data. UMAP (Adjunct Publication) Mara Houbraken, Chang Sun, Evgueni N. Smirnov, Kurt Driessens