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

Volumetric Attribute Compression for 3D Point Clouds Using Feedforward Network with Geometric Attention. - Tam Thuc Do; Philip A. Chou; Gene Cheung (ICASSP, 2023)

Volumetric 3d Point Cloud Attribute Compression: Learned Polynomial Bilateral Filter for Prediction. - Tam Thuc Do; Philip A. Chou; Gene Cheung (ICASSP, 2024)

Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression. - Tam Thuc Do; Philip A. Chou; Gene Cheung (ICIP, 2024)

Constructing an Interpretable Deep Denoiser by Unrolling Graph Laplacian Regularizer. - Seyed Alireza Hosseini; Tam Thuc Do; Gene Cheung; Yuichi Tanaka 001 (ICIP, 2024)

Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors. - Tam Thuc Do; Parham Eftekhar; Seyed Alireza Hosseini; Gene Cheung; Philip A. Chou (CoRR, 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)

Lightweight Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast. - Ji Qi; Tam Thuc Do; Mingxiao Liu; Zhuoshi Pan; Yuzhe Li; Gene Cheung; H. Vicky Zhao (CoRR, 2025)