Optimizing MobileNet Algorithms for Real-time Vessel Detection on Smartphones. - Lars A. Gjesteby; Ellie Haber; Shoyo Hakozaki; Alec S. Xu; Nancy DeLosa; Benjamin W. Roop; Joshua Werblin; Brian A. Telfer; Laura J. Brattain (BSN, 2023)

HeMPPCAT: Mixtures of Probabilistic Principal Component analysers for data with heteroscedastic noise. - Alec S. Xu; Laura Balzano; Jeffrey A. Fessler (ICASSP, 2023)

Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS). - Nina I. Shamsi; Alec S. Xu; Lars A. Gjesteby; Laura J. Brattain (WACV, 2024)

Self-Supervised Edge Detection Reconstruction for Topology-Informed 3D Axon Segmentation and Centerline Detection. - Alec S. Xu; Nina I. Shamsi; Lars A. Gjesteby; Laura J. Brattain (WACV, 2024)

Understanding How Nonlinear Layers Create Linearly Separable Features for Low-Dimensional Data. - Alec S. Xu; Can Yaras; Peng Wang 098; Qing Qu 001 (CoRR, 2025)

Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective. - Soo Min Kwon; Alec S. Xu; Can Yaras; Laura Balzano; Qing Qu 001 (CoRR, 2025)

MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention. - Can Yaras; Alec S. Xu; Pierre Abillama; Changwoo Lee; Laura Balzano (CoRR, 2025)