Direct Conversion: Accelerating Convolutional Neural Networks Utilizing Sparse Input Activation. - Won-Hyuk Lee; Si-Dong Roh; Sangki Park; Ki-Seok Chung (IECON, 2020)

FlowNetU: Accurate Uncertainty Estimation of Optical Flow for Video Object Detection. - Jun-Gu Kang; Si-Dong Roh; Ki-Seok Chung (AIPR, 2021)

Robustness-Aware Filter Pruning for Robust Neural Networks Against Adversarial Attacks. - Hyuntak Lim; Si-Dong Roh; Sangki Park; Ki-Seok Chung (MLSP, 2021)

DAFA: Diversity-Aware Feature Aggregation for Attention-Based Video Object Detection. - Si-Dong Roh; Ki-Seok Chung (IEEE Access, 2022)

An Efficient Noisy Label Learning Method with Semi-supervised Learning: An Efficient Noisy Label Learning Method with Semi-supervised Learning. - Jihee Kim; Sangki Park; Si-Dong Roh; Ki-Seok Chung (ICMVA, 2023)

Token Merging with Class Importance Score. - Kwang-Soo Seol; Si-Dong Roh; Ki-Seok Chung (IECON, 2023)

iNLC: Iterative Noisy Label Correction. - Seungyeon Koo; Sangki Park; Si-Dong Roh; Ki-Seok Chung (SITIS, 2023)

DiffusionVID: Denoising Object Boxes With Spatio-Temporal Conditioning for Video Object Detection. - Si-Dong Roh; Ki-Seok Chung (IEEE Access, 2023)

Cosmos: A CXL-Based Full In-Memory System for Approximate Nearest Neighbor Search. - Seoyoung Ko; Hyunjeong Shim; Wanju Doh; Sungmin Yun 001; Jinin So; Yongsuk Kwon; Sang-Soo Park; Si-Dong Roh; Minyong Yoon; Taeksang Song; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2025)