Publications

Notes: * corresponding author; equal contribution.

Journal Papers

Zhai, X., Bach, P. M., Ghazoul, J., Casanelles Abella, J., Buchecker, M., Giger Dray, A., Sun, J., & Kleinschroth, F. (2026). Artificial intelligence for urban ecosystem restoration: reshaping social–ecological–technological interactions. npj Urban Sustainability. [doi]

Key Words: Artificial Intelligence; Urban Ecology; Participatory Design


Smer-Barreto, V.*, Quintanilla, A., Elliott, R. J. R., Dawson, J. C., Sun, J., Campa, V. M., Lorente-Macias, A., Unciti-Broceta, A., Carragher, N. O., Acosta, J. C., & Oyarzún, D. A. (2023). Discovery of senolytics using machine learning. Nature Communications, 14, 3445. [pdf]

Key Words: Applied Machine Learning; Drug Discovery

Conference Proceedings

Sun, J.*, Sevastjanova, R., Ahmadi, S., Sennrich, R., & El-Assady, M. (2025). Dia-Lingle: A Gamified Interface for Dialectal Data Collection. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 148-158. [pdf]

Key Words: Low-resouerced NLP; Gamification; Visualisation

Conference Workshops & Findings

Ni, W., Sun, J., Liu, Y., & El-Assady, M. (2026). Cross-Cultural Simulation of Citizen Emotional Responses to Bureaucratic Red Tape Using LLM Agents. PoliSim@CHI 2026: LLM Agent Simulation for Policy (to appear); arXiv:2604.12545. [pdf] [doi] [workshop]

Key Words: LLMs, Agent-Simulation, Public Administration


Laguna, S., Heidenreich, J., Sun, J., Cetin, N., Al-Hazwani, I., Schlegel, U., Cheng, F., & El-Assady, M. (2023). ExpLIMEable: A Visual Analytics Approach for Exploring LIME. IEEE VIS 2023 Workshop on Visualisation for AI Explainability in Healthcare (VAHC). [pdf] [doi]

Key Words: Explainable AI; Visualisation; LIME; Healthcare


Laguna, S., Heidenreich, J., Sun, J., Cetin, N., Al-Hazwani, I., Schlegel, U., Cheng, F., & El-Assady, M. (2023). ExpLIMEable: A Visual Analytics Approach for Exploring LIME. XAI in Action: Past, Present, and Future Applications (NeurIPS XAIA 2023). [pdf] [OpenReview]

Preprints

Daniels, S., Sun, J., Xie, J. (2023). CADA-GAN: Context-Aware GAN with Data Augmentation. Arxiv. [pdf]