Preprint

  • Xie, Y. and Bhattacharya, B.B. Joint Poisson Convergence of Monochromatic Hyperedges in Multiplex Hypergraphs. [Link]
  • Xie, Y., Chen, X., Ren, Z., and Su, W.J. Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection. [Link]
  • Baptista, R., O’Reilly, E., and Xie, Y. TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional Regression. [Link] [Code]
  • Jiang, B., Xie, Y., Wang, X., He, J., Bergerson, J., Hutchison, J. K., Taylor, C. J., and Mallick, T. GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data? [Link]
  • Noarov, G., Mallick, S., Wang, T., Joshi, S., Sun, Y., Xie, Y., Yu, M., and Dobriban, E. Foundations of Top-k Decoding For Language Models. [Link]
  • de Rijke, M., van den Hurk, B., Salim, F., Al Khourdajie, A., Bai, N., Calzone, R., Curran, D., Demil, G., Frew, L., Gießing, N., Gupta, M. K., Heuss, M., Hobeichi, S., Huard, D., Kang, J., Lucic, A., Mallick, T., Nath, S., Okem, A., Pernici, B., Rajapakse, T., Saleem, H., Scells, H., Schneider, N., Spina, D., Tian, Y., Totin, E., Trotman, A., Valavandan, R., Workneh, D., Xie, Y. Information Retrieval for Climate Impact. [Link]

2025

  • Xie, Y., Li, X., Mallick, T., Su, W. J., and Zhang, R. Debiasing Watermarks for Large Language Models via Maximal Coupling. Accepted at Journal of the American Statistical Association (JASA) Special Issue on Statistical Science in AI. [Link] [Code]
  • Xie, Y., Jiang, B., Mallick, T., Bergerson, J., Hutchison, J.K., Verner, D.R., Branham, J., Alexander, M.R., Ross, R.B., Feng, Y., and Levy, L.A. MARSHA: Multi-agent RAG System for Hazard Adaptation. npj Climate Action, 4(1), p.70. [Link] [Code]
  • Jiang, B., Xie, Y., Wang, X., Yuan, Y., Hao, Z., Bai, X., Su, W. J., Taylor, C. J., and Mallick, T. Towards Rationality in Language and Multimodal Agents: A Survey. In Proceedings of the 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). [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][Code]

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].