The study on failure mechanisms of bond pad metal peeling: Part B–Numerical analysis. - Insu Jeon (Microelectron. Reliab., 2003)

The study on failure mechanisms of bond pad metal peeling: Part A–Experimental investigation. - Insu Jeon; Qwanho Chung (Microelectron. Reliab., 2003)

Numerical analysis of the warpage problem in TSOP. - Kyoungsoon Cho; Insu Jeon (Microelectron. Reliab., 2004)

Analysis of the reservoir effect on electromigration reliability. - Insu Jeon; Young-Bae Park (Microelectron. Reliab., 2004)

Stress intensities at the triple junction of a multilevel thin film package. - Insu Jeon; Ki-Ju Kang; Seyoung Im (Microelectron. Reliab., 2008)

Development of hip joint prostheses with modular stems. - Ji-Yong Bae; Umar Farooque; Kyung-Won Lee; Gyu-Ha Kim; Insu Jeon; Taek-Rim Yoon (Comput. Aided Des., 2011)

Biomechanical analysis of the effects of medial meniscectomy on degenerative osteoarthritis. - Ji-Yong Bae; Kyung Soon Park; Jong Keun Seon; Dai Soon Kwak; Insu Jeon; Eun Kyoo Song (Medical Biol. Eng. Comput., 2012)

Combination of hybrid median filter and total variation minimisation for medical X-ray image restoration. - D. M. Bappy; Insu Jeon (IET Image Process., 2016)

Finite element study on the anatomic transtibial technique for single-bundle anterior cruciate ligament reconstruction. - Ji-Yong Bae; Geon-Hee Kim; Jong Keun Seon; Insu Jeon (Medical Biol. Eng. Comput., 2016)

Modified simultaneous iterative reconstruction technique for fast, high-quality CT reconstruction. - D. M. Bappy; Insu Jeon (IET Image Process., 2017)

Evaluating the material properties of underfill for a reliable 3D TSV integration package using numerical analysis. - Hyungseok Yoon; Kwang-Seong Choi; Hyun-Cheol Bae; Jong-Tae Moon; Yong-Sung Eom; Insu Jeon (Microelectron. Reliab., 2017)

High-quality X-ray computed tomography reconstruction using projected and interpolated images. - D. M. Bappy; Insu Jeon (IET Image Process., 2019)

IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks. - Insu Jeon; Wonkwang Lee; Myeongjang Pyeon; Gunhee Kim (AAAI, 2021)

Neural Variational Dropout Processes. - Insu Jeon; Youngjin Park; Gunhee Kim (ICLR, 2022)

Federated Learning via Meta-Variational Dropout. - Insu Jeon; Minui Hong; Junhyeog Yun; Gunhee Kim (NeurIPS, 2023)

BiGTA-Net: A Hybrid Deep Learning-Based Electrical Energy Forecasting Model for Building Energy Management Systems. - Dayeong So; Jinyeong Oh; Insu Jeon; Jihoon Moon; Mi Young Lee; Seungmin Rho (Syst., 2023)

FedAvP: Augment Local Data via Shared Policy in Federated Learning. - Minui Hong; Junhyeog Yun; Insu Jeon; Gunhee Kim (NeurIPS, 2024)