Rongen Zhang

According to our database, Rongen Zhang authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

The Effect of Type of Explanation on Algorithm Appreciation: The Role of Risk Perceptions in Healthcare Decision-Making.

Rongen (Sophia) Zhang, Karl Werder, Kartikeya Negi, Balasubramaniam Ramesh

Proceedings of the 59th Hawaii International Conference on System Sciences, 2026

2025

Uncovering the Associations of Research Paradigms and Methods with Theoretical Contribution Types.

Rongen Zhang, Eun Hee Park, Yoongi Kim, Jongwoo Kim

Commun. Assoc. Inf. Syst., 2025

Impact of the Perceived System Bias and Type of AI Explanations on Decision-Making Effectiveness in Explainable AI Systems: Cognitive and Emotional Mechanisms.

Kartikeya Negi, Karl Werder, Rongen (Sophia) Zhang, Balasubramaniam Ramesh

Proceedings of the 46th International Conference on Information Systems, 2025

2024

A configurational perspective on design elements and user governance engagement in blockchain platforms.

Rongen Zhang, Balasubramaniam Ramesh

Inf. Syst. J., July, 2024

2023

Novel methods for elucidating modality importance in multimodal electrophysiology classifiers.

Charles A. Ellis, Mohammad S. Eslampanah Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Vince D. Calhoun

Frontiers Neuroinformatics, March, 2023

2022

Establishing Data Provenance for Responsible Artificial Intelligence Systems.

Karl Werder, Balasubramaniam Ramesh, Rongen (Sophia) Zhang

ACM Trans. Manag. Inf. Syst., 2022

2021

Explainable Sleep Stage Classification with Multimodal Electrophysiology Time-series^*.

Charles A. Ellis, Rongen Zhang, Darwin A. Carbajal, Robyn L. Miller, Vince D. Calhoun, May D. Wang

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Novel Local Ablation Approach for Explaining Multimodal Classifiers.

Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Mohammad S. Eslampanah Sendi, May D. Wang, Robyn L. Miller

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

A Gradient-based Approach for Explaining Multimodal Deep Learning Classifiers.

Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Robyn L. Miller, May D. Wang

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021