Uniformity Testing in the Shuffle Model: Simpler, Better, Faster. - Clément L. Canonne; Hongyi Lyu (SOSA, 2022)

Assessing the Leaf Blade Nutrient Status of Pinot Noir Using Hyperspectral Reflectance and Machine Learning Models. - Hongyi Lyu; Miles Grafton; Thiagarajah Ramilan; Matthew Irwin; Eduardo Sandoval (Remote. Sens., 2023)

Using Remote and Proximal Sensing Data and Vine Vigor Parameters for Non-Destructive and Rapid Prediction of Grape Quality. - Hongyi Lyu; Miles Grafton; Thiagarajah Ramilan; Matthew Irwin; Hsiang-En Wei; Eduardo Sandoval (Remote. Sens., 2023)

Hyperspectral Imaging Spectroscopy for Non-Destructive Determination of Grape Berry Total Soluble Solids and Titratable Acidity. - Hongyi Lyu; Miles Grafton; Thiagarajah Ramilan; Matthew Irwin; Eduardo Sandoval (Remote. Sens., 2024)

Synthetic hyperspectral reflectance data augmentation by generative adversarial network to enhance grape maturity determination. - Hongyi Lyu; Miles Grafton; Thiagarajah Ramilan; Matthew Irwin; Eduardo Sandoval (Comput. Electron. Agric., 2025)