Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative Glasso and Projection. - Saghar Bagheri; Gene Cheung; Antonio Ortega; Fen Wang (ICASSP, 2021)

Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction. - Saghar Bagheri; Chinthaka Dinesh; Gene Cheung; Timothy Eadie (EUSIPCO, 2022)

Linear-Time Sampling on Signed Graphs Via Gershgorin Disc Perfect Alignment. - Chinthaka Dinesh; Saghar Bagheri; Gene Cheung; Ivan V. Bajic (ICASSP, 2022)

Hybrid Model-Based / Data-Driven Graph Transform for Image Coding. - Saghar Bagheri; Tam Thuc Do; Gene Cheung; Antonio Ortega (ICIP, 2022)

Sparse Graph Learning with Eigen-gap for Spectral Filter Training in Graph Convolutional Networks. - Jin Zeng; Saghar Bagheri; Yang Liu; Gene Cheung; Wei Hu (CoRR, 2022)

Graph Sparsification for GCN Towards Optimal Crop Yield Predictions. - Saghar Bagheri; Gene Cheung; Timothy Eadie (IGARSS, 2023)

Joint Signal Interpolation / Time-Varying Graph Estimation Via Smoothness and Low-Rank Priors. - Saghar Bagheri; Gene Cheung; Tim Eadie; Antonio Ortega (ICASSP, 2024)

Spectral Graph Learning With Core Eigenvectors Prior via Iterative GLASSO and Projection. - Saghar Bagheri; Tam Thuc Do; Gene Cheung; Antonio Ortega (IEEE Trans. Signal Process., 2024)

Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect Alignment. - Chinthaka Dinesh; Gene Cheung; Saghar Bagheri; Ivan V. Bajic (IEEE Trans. Pattern Anal. Mach. Intell., 2025)