CAKE: matrix multiplication using constant-bandwidth blocks. - H. T. Kung 001; Vikas Natesh; Andrew Sabot (SC, 2021)

MEMA Runtime Framework: Minimizing External Memory Accesses for TinyML on Microcontrollers. - Andrew Sabot; Vikas Natesh; H. T. Kung 001; Wei-Te Ting (CoRR, 2023)

Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels. - Vikas Natesh; Andrew Sabot; H. T. Kung 001; Mark Ting (CoRR, 2023)

GASA: Rank-Sliced GAther-Scatter Activations and Application to Sparsity-Preserving Parameter-Efficient Fine-Tuning. - H. T. Kung 001; Andrew Sabot (ISCAS, 2025)

ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning. - Huandong Chang; Zicheng Ma; Mingyuan Ma; Zhenting Qi; Andrew Sabot; Hong Jiang; H. T. Kung 001 (CoRR, 2025)