Xie He, Phil Chodrow, Peter J. Mucha, Inference for Generative Temporal Hypergraph Models, in preparation, 2023. 

Xie He, Amir Ghasemian, Eun Lee, Aaron Clauset, Peter J. Mucha, Non-uniform sampling methods for testing link prediction on networks, in preparation, 2023.

Xie He, Shai Pilosof, Peter J. Mucha, Link Prediciton and Recommendation System Analysis for Temporal Ecological Networks, in preparation, 2023. 

Xie He, Amir Ghasemian, Eun Lee, Aaron Clauset, Peter J. Mucha, Sequential Stacking Link Prediction Algorithms for Temporal Networks, under revision at Nature Communications, 2023.

Xie He, Nathan Herr, Mohab Elkaref, Geeth de Mel, Paper on KBQA submitted to AACL, 2023. 

Ovidia Stanoi, Xie He, Danielle S. Bassett, Kevin Ochsner, Emily Falk, and Peter J. Mucha, Brain Similarity of Alchohol Brain Scan Image and Prediction on Drinking and Closeness, in preparation, 2023.

Geut Galai, Xie He, Barak Rotblat, Shai Pilosof, Ecological network analysis reveals cancer-dependent chaperone-client interaction structure and robustness, Nat Commun 14, 6277 (2023). https://doi.org/10.1038/s41467-023-41906-2.

Eun Lee, Ovidia Stanoi, Xie He, Yoona Kang, Danielle S. Bassett, Kevin Ochsner, Emily Falk, and Peter J. Mucha, Multi-level structural similarity of the Power and Affiliation dimensions in multilayered social networks with perceived drinking nominations, submitted, 2023.

J. D. Moorman, T. K. Tu, Q. Chen, X. He, A. L. Bertozzi, The Subgraph Matching Problem on Multiplex Networks, IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, Volume 8, Issue 2, Pages 1367-1384, 2021.

H. Jin, X. He, Y. Wang, H. Li, and A. L. Bertozzi, Noisy Subgraph Isomorphisms on Multiplex Networks, Third workshop on Graph Techniques for Adversarial Activity Analytics (GTA3 3.0), IEEE BIG DATA conference, Los Angeles, Dec 9, 2019.

Non-uniform sampling methods for testing link prediction on networks, SIAM DS 2023 (Contributed talk).

Learning to Predict: A Topological Stacking Method for Link Prediction on Temporal NERCCS 2023 (Contributed talk).

Learning to Predict: A Topological Stacking Method for Link Prediction on Temporal Networks SIAM NS 2022 (Contributed talk).

Learning to Predict: A Topological Stacking Method for Link Prediction on Temporal Networks SIAM MDS 2022 (Poster).

Learning to Predict: A Topological Stacking Method for Link Prediction on Temporal Networks NETSCI 2022 HONS (Invited talk).

Learning to Predict: A Topological Stacking Method for Link Prediction on Temporal Networks NETSCI NETWORKS 2021 (Talk).

Noisy Subgraph Isomorphism on Large Multiplex Networks SIAM Network Science Conference 2020 (Poster).

Invited Student Feature Article SIAM Dynamical System Web Page.