Prediction Confidence based Low Complexity Gradient Computation for Accelerating DNN Training. - Dongyeob Shin; Geonho Kim; Joongho Jo; Jongsun Park 001 (DAC, 2020)

Confidence Score based Mini-batch Skipping for CNN Training on Mini-batch Training Environment. - Joongho Jo; Jongsun Park 001 (ISOCC, 2020)

A Charge-Sharing based 8T SRAM In-Memory Computing for Edge DNN Acceleration. - Kyeongho Lee; Sungsoo Cheon; Joongho Jo; Woong Choi; Jongsun Park 001 (DAC, 2021)

Class Difficulty based Mixed Precision Quantization for Low Complexity CNN Training. - Joongho Jo; Jongsun Park 001 (ISOCC, 2022)

Low Complexity Gradient Computation Techniques to Accelerate Deep Neural Network Training. - Dongyeob Shin; Geonho Kim; Joongho Jo; Jongsun Park 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

LoCoExNet: Low-Cost Early Exit Network for Energy Efficient CNN Accelerator Design. - Joongho Jo; Geonho Kim; Seungtae Kim; Jongsun Park 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

PS-GS: Group-Wise Parallel Rendering with Stage-Wise Complexity Reductions for Real-Time 3D Gaussian Splatting. - Joongho Jo; Jongsun Park 001 (DATE, 2025)