A low-complexity composite QR decomposition architecture for MIMO detector. - Ji-Hwan Yoon; Dongyeob Shin; Jongsun Park 001 (ISCAS, 2014)

Adaptive ECC for Tailored Protection of Nanoscale Memory. - Dongyeob Shin; Jongsun Park 001; Jangwon Park; Somnath Paul; Swarup Bhunia (IEEE Des. Test, 2017)

Mosaic-CNN: A Combined Two-Step Zero Prediction Approach to Trade off Accuracy and Computation Energy in Convolutional Neural Networks. - Cheolhwan Kim; Dongyeob Shin; Bohun Kim; Jongsun Park 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

A Low-Latency and Area-Efficient Gram-Schmidt-Based QRD Architecture for MIMO Receiver. - Dongyeob Shin; Jongsun Park 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Sensitivity based Error Resilient Techniques for Energy Efficient Deep Neural Network Accelerators. - Wonseok Choi 004; Dongyeob Shin; Jongsun Park 001; Swaroop Ghosh (DAC, 2019)

Sensitivity-Based Error Resilient Techniques With Heterogeneous Multiply-Accumulate Unit for Voltage Scalable Deep Neural Network Accelerators. - Dongyeob Shin; Wonseok Choi 004; Jongsun Park 001; Swaroop Ghosh (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

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

An Even/Odd Error Detection Based Low-Complexity Chase Decoding for Low-Latency RS Decoder Design. - Jinho Jeong 002; Dongyeob Shin; Wongyu Shin; Jongsun Park 001 (IEEE Commun. Lett., 2021)

Exploiting Retraining-Based Mixed-Precision Quantization for Low-Cost DNN Accelerator Design. - Nahsung Kim; Dongyeob Shin; Wonseok Choi 004; Geonho Kim; Jongsun Park 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

An Error Compensation Technique for Low-Voltage DNN Accelerators. - Daehan Ji; Dongyeob Shin; Jongsun Park 001 (IEEE Trans. Very Large Scale Integr. Syst., 2021)

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)

HaT: Holding Oscillation for Efficient INT8 Quantized CNN Training. - Chanyung Kim; Dongyeob Shin; Minkyu Lee; Sung-Joon Jang; Sang-Seol Lee (ICEIC, 2025)

Designing an Optimized Processing Elements Structure for Depthwise Separable Convolution. - Eunchong Lee; Yumi Kim; Kyungho Kim; Dongyeob Shin; Sung-Joon Jang (ICEIC, 2025)