| 2024 | EMNLP | Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models. | Jaeseong Lee, Seung-won Hwang, Wonpyo Park, Mingi Ji |
| 2024 | ICML | LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging. | Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song |
| 2022 | AAAI | BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents. | Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park |
| 2021 | AAAI | Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. | Mingi Ji, Byeongho Heo, Sungrae Park |
| 2021 | CVPR | Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation. | Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon |
| 2020 | AAAI | Sequential Recommendation with Relation-Aware Kernelized Self-Attention. | Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon |
| 2019 | AAAI | Adversarial Dropout for Recurrent Neural Networks. | Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon |
| 2019 | AAAI | Hierarchical Context Enabled Recurrent Neural Network for Recommendation. | Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon |
| 2018 | SMC | Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve an Earthwork Scheduling Problem. | Seongcheol Woo, Juneyeong Yeon, Mingi Ji, Il-Chul Moon, Jinkyoo Park |