Archived news:
Mathematics Faculty Develops Algorithms with Predictive Capabilities interviewed by LMU Newsroom
My research lies at the intersection of computational graph theory, network analysis, machine learning, and data science. I focus on developing interdisciplinary mathematical and computational methods for broad application, often collaborating with domain scientists. My work is both theoretical and applied, frequently data-driven, and can be broadly classified into the following areas.
SIAM J. Sci. Comput., S378-S400 (2023)
Full Text: https://epubs.siam.org/doi/abs/10.1137/22M1503932
Xiaozhe Hu, Junyuan Lin*, Ludmil Zikatanov
*Corresponding Author
SIAM J. Sci. Comput., 41(5), S220–S241. (2019)
Full Text: https://epubs.siam.org/doi/abs/10.1137/18M1194493
Awarded Best Student Paper at the 15th Copper Mountain Conference on Iterative Methods
Lenore J. Cowen, Xiaozhe Hu, Junyuan Lin, Yue Shen, Kaiyi Wu
International Conference on Large-Scale Scientific Computing, Volume 13127, pp 3-15 (2021)
Full Text: https://link.springer.com/chapter/10.1007/978-3-030-97549-4_1
Invited paper
Sarvenaz Choobdar, Mehmet E Ahsen, Jake Crawford, Mattia Tomasoni, David Lamparter, Junyuan Lin, Ben Hescott, Xiaozhe Hu, Johnathan Mercer, Ted Natoli, Rajiv Narayan, The DREAM Module Identification Challenge Consortium, Aravind Subramanian, Jitao D. Zhang, Gustavo Stolovitzky, Zoltan Kutalik, Kasper Lage, Donna K Slonim, Julio Saez-Rodriguez, Lenore J. Cowen, Sven Bergmann, Daniel Marbach
Nature Methods, volume 16, pages 843–852 (2019)
Full Text: https://www.nature.com/articles/s41592-019-0509-5
Junyuan Lin, Lenore J. Cowen, Ben Hescott, Xiaozhe Hu
Numer Linear Algebra Appl. 2018; e2156.
Full Text: doi.org/10.1002/nla.2156 (PDF)
Jake Crawford, Junyuan Lin, Xiaozhe Hu, Ben Hescott, Donna Slonim, Lenore J. Cowen
2017 Sage Bionetworks, 7 Oct. 2016 Published. Web.
Full Text: syn7349492
Awarded Best Performer in 2016 Disease Module Identification DREAM Challenge
Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-Rasool, Yuxiang Liu, Chongyao Ma, Andrea L Bertozzi, P Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal
2023 IEEE International Conference on Big Data
Full Text: https://ieeexplore.ieee.org/abstract/document/10386312/
The knowledge graph ontology for hate speech and hate crime datasets
Hierarchical clustering of QAnon-related topics from BERTopic
Clay Adams, Malvina Bozhidarova, James Chen, Andrew Gao, Zhengtong Liu, J. Hunter Priniski, Junyuan Lin, Rishi Sonthalia, Andrea L. Bertozzi, P. Jeffrey Brantingham
2022 IEEE International Conference on Big Data
Full Text: https://ieeexplore.ieee.org/abstract/document/10021128
Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham
2021 IEEE International Conference on Big Data
Full Text: https://ieeexplore.ieee.org/abstract/document/9671479
General structure of knowledge graph with an underlying social network of tweets at the center and external information and tweet attributes surrounding the network
Charles Colley, Junyuan Lin, Xiaozhe Hu, Shuchin Aeron
2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
Full Text: doi: 10.1109/IPDPSW.2017.163 (PDF)
Junyuan Lin, Timothy Lucas
Applied Math Journal Networks and Heterogeneous Media, Volume 10, Issue 3, (2015): 631-646.
Full Text: doi: 10.3934/nhm.2015.10.631 (PDF)
Path Cover Adaptive Algebraic Multigrid Solver for Graph Laplacians
Authors: Xiaozhe Hu, Junyuan Lin and Ludmil Zikantonov
Link: https://github.com/XiaozheHu/Multilevel_Subgraph_Preconditioner
Reference: An Adaptive Algebraic Multigrid Method Based on Path Cover
1/2 approximation path cover algorithm
Authors: Guangpeng Ren and Junyuan Lin
Link: https://github.com/George-the-Ren/12_Optimization/tree/main
Reference: Implementation of 1/2-Approximation Path Cover Algorithm and Its Empirical Analysis
Knowledge Graph for COVID-19 Twitter Network
Authors: Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham
Link: https://github.com/dominicflocco/Twitter-COVID-19-Knowledge-Graph
Reference: An Analysis of COVID-19 Knowledge Graph Construction and Applications
Knowledge Graph for QAnon Twitter Network
Authors: Clay Adams, Malvina Bozhidarova, James Chen, Andrew Gao, Zhengtong Liu, J. Hunter Priniski, Junyuan Lin, Rishi Sonthalia, Andrea L. Bertozzi, P. Jeffrey Brantingham
Link: https://github.com/rsonthal/kg-twitter-reu
Reference: Knowledge Graphs of the QAnon Twitter Network
Knowledge Graph for hate speech and hate crimes data sets
Authors: Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-Rasool, Yuxiang Liu, Chongyao Ma, Andrea L Bertozzi, P Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal
Link: https://github.com/jimliu01/kg-twitter-hate-crimes
Reference: Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups
Predictive Models for Sports Readiness: A Data-Driven Analysis of Collegiate Female Soccer Players
Presented at:
2024 Southern California Applied Mathematics Symposium, University of San Diego (Poster prize winner)
Presented at:
2019 Joint Mathematics Meetings (JMM), Baltimore, MD.
2018 MAA MATHFEST, Denver, CO.
2017 SIAM Annual Meeting, AWM workshop, Pittsburgh, PA.
2017 Computational Aspects of Biological Information, Microsoft Research, Cambridge, MA.
Data Intensive Studies Center Fall 2017 Symposium, Tufts University, Medford, MA.
Applied Math Days 2017, Rensselaer Polytechnic Institute, Troy, NY.
Graduate Student Research Symposium, Tufts University, Medford, MA.
Presented at MAA Undergraduate Poster Session, 2014 Joint Mathematics Meetings, Baltimore, MD. (Outstanding Poster Winner)