Subtensor Quantization for Mobilenets. - Thu Dinh; Andrey Melnikov; Vasilios Daskalopoulos; Sek Chai (ECCV Workshops (5), 2020)

Convergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via ℓ 1, ℓ 0, and Transformed-ℓ 1 Penalties. - Thu Dinh; Jack Xin (IntelliSys (1), 2020)

Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. - Thu Dinh; Bao Wang 001; Andrea L. Bertozzi; Stanley J. Osher; Jack Xin (LOD (2), 2020)

Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. - Thu Dinh; Bao Wang 001; Andrea L. Bertozzi; Stanley J. Osher (CoRR, 2020)

Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network. - Thu Dinh; Jack Xin (Frontiers Appl. Math. Stat., 2020)

Study of Stochastic and Sparse Neural Network Models with Applications. - Thu Dinh (2020)

Quantization-Guided Training for Compact TinyML Models. - Sedigh Ghamari; Koray Ozcan; Thu Dinh; Andrey Melnikov; Juan Carvajal; Jan Ernst; Sek Chai (CoRR, 2021)