2025
Huo, Z., Booth, J., Monks, T., Knight, P., Watson, L., Peters, M., Pagel, C., Ramnarayan, P., & Li, K. (2025). Dynamic mortality prediction in critically ill children during interhospital transports to PICUs using explainable AI. npj Digital Medicine, 8, 108.
2024
Antunes, L. M., Butler, K. T., & Grau-Crespo, R. (2024). Crystal structure generation with autoregressive large language modeling. Nature Communications, 15, 10570.
2026
Li, J., Zheng, H., Zhou, Y., & Jiang, F. (2026). A bimodal dataset for diabetes research. Scientific Data, 13, 652.
2024
Sakel, S., & Mayer, S. (2024). Exploring Opportunities for Data-Driven Wellbeing Support through Positive Reinforcements. In Proceedings of the Designing (with) AI for Wellbeing Workshop at CHI.
2025
Zhao, X., Yu, F., Zhang, X., Chen, J., & Li, P. (2025). Assessing urban renewal efficiency via multi-source data and DID-based comparison between historical districts. Npj Heritage Science, 13(1), 389.
2022
Chen, J., Wang, J., Peng, T., Sun, Y., Cheng, P., Ji, S., … & Song, D. (2022). Copy, right? A testing framework for copyright protection of deep learning models. In: 2022 IEEE Symposium on Security and Privacy (SP) (pp. 824-841). San Francisco: IEEE Security and Privacy.
2019
Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42.
2003
Doan, A., Madhavan, J., Dhamankar, R., Domingos, P., & Halevy, A. (2003). Learning to match ontologies on the semantic web. The VLDB journal, 12, 303-319.