Preprint

  • Xie, Y., Mallick, T., Bergerson, J., Hutchison, J., Verner, D., Branham, J., Alexander, R., Ross, R., Feng, Y., Levy, L.-A., and Su, W.. WildfireGPT: Tailored Large Language Model for Wildfire Analysis. arXiv preprint arXiv:2402.07877. [Link]
  • Baptista, R., O’Reilly, E., and Xie, Y. TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional Regression. arXiv preprint, arXiv:2407.09964. [Link]

2024

  • Jiang, B., Xie, Y., Hao, Z., Wang, X., Taylor, C. J., Su, W. J., Mallick, T. and Roth, D. A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP). [Link]

2023

  • Krenn, M., Buffoni, L., Coutinho, B., Eppel, S., Foster, J.G., Gritsevskiy, A., Lee, H., Lu, Y., Moutinho, J.P., Sanjabi, N., Sonthalia, R., Tran, N., Valente, F., Xie, Y., Yu, R., and Kopp, M. Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nature Machine Intelligence, pp.1-10. [Link].

2022

  • Sun, A.Y., Jiang, P., Yang, Z.L., Xie, Y. and Chen, X. A graph neural network (GNN) approach to basin-scale river network learning: the role of physics-based connectivity and data fusion. Hydrology and Earth System Sciences, 26(19), pp.5163-5184. [Link].

2021

  • Tran NM, Xie, Y. Improving random walk rankings with feature selection and imputation. In 2021 IEEE International Conference on Big Data (Big Data) 2021 Dec 15 (pp. 5824-5827). IEEE. [Link].
  • Xie, Y., Kulpanowski, D., Ong, J., Nikolova, E., Tran, NM. Predicting Covid-19 emergency medical service incidents from daily hospitalization trends. Int J Clin Pract. 2021; 00:e14920. doi:10.1111/ijcp.14920 [Link].
  • Xie, Y. On 2 × 2 Tropical Commuting Matrices. Linear Algebra and its Applications, 620, 92-108. [Link].