Shangsi Wang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 4

Top Topics

Subgraph Isomorphism

Spectral Embedding

Training Set Size

Generalization Error Bounds

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

PLoS Comput. Biol.

Pattern Recognit. Lett.

Publications

Cencheng Shen, Shangsi Wang, Alexandra Badea, Carey E. Priebe, Joshua T. Vogelstein
Discovering the signal subgraph: An iterative screening approach on graphs. Pattern Recognit. Lett. 184 (2024)
Shangsi Wang, Jesús Arroyo, Joshua T. Vogelstein, Carey E. Priebe
Joint Embedding of Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Eric W. Bridgeford, Shangsi Wang, Zeyi Wang, Ting Xu, R. Cameron Craddock, Jayanta Dey, Gregory Kiar, William Gray-Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael Milham, Xi-Nian Zuo, Joshua T. Vogelstein
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Comput. Biol. 17 (9) (2021)
Shangsi Wang, Joshua T. Vogelstein, Carey E. Priebe
Joint Embedding of Graphs. CoRR (2017)