Machine learning: Graph learning; Active learning; Transfer learning; Semi-supervised learning; Self-supervised learning
Image processing: Image segmentation and classification; Hyperspectral image unmixing.
Mathematical Modeling: Optimal control problems; Stochastic process; Point process.
Knowledge Graph and language models
Recent Papers
Chen, B., Peng, K., Parkinson, C., Bertozzi, A. L., Slough, T. L., & Urpelainen, J. (2021). Modeling illegal logging in Brazil. Research in the Mathematical Sciences, 8(2), 29.
Chen, B., Shrestha, P., Bertozzi, A. L., Mohler, G., & Schoenberg, F. (2022). A Novel Point Process Model for COVID-19: Multivariate Recursive Hawkes Process. In Predicting Pandemics in a Globally Connected World, Volume 1: Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation (pp. 141-182). Cham: Springer International Publishing.
Brown, J., Chen, B., Hardiman-Mostow, H., Weihs, A., Bertozzi, A. L., & Chanussot, J. (2023). Material Identification in Complex Environments: Neural Network Approaches to Hyperspectral Image Analysis, to appear in WHISPERS 2023.
Honors
(2013) Silver Medal in the 6th Romania Master of Mathematics (RMM).
(2013) First prize in the 29th Chinese Mathematical Olympiad (CMO).
(2019) Horn-Moez Prize - for excellence in first-year graduate studies.
(2023) Best Student Paper for the Algorithms for Synthetic Aperture Radar Imagery XXX workshop at the 2023 SPIE Defense + Commercial Sensing Conference
(2023) Session Chair for the session Image Analysis for the Remote Sensing of Water Bodies in IGARSS 2023.