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 (SMC, 2018)

Adversarial Dropout for Recurrent Neural Networks. - Sungrae Park; Kyungwoo Song; Mingi Ji; Wonsung Lee; Il-Chul Moon (AAAI, 2019)

Hierarchical Context Enabled Recurrent Neural Network for Recommendation. - Kyungwoo Song; Mingi Ji; Sungrae Park; Il-Chul Moon (AAAI, 2019)

Sequential Recommendation with Relation-Aware Kernelized Self-Attention. - Mingi Ji; Weonyoung Joo; Kyungwoo Song; Yoon-Yeong Kim; Il-Chul Moon (AAAI, 2020)

Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. - Mingi Ji; Byeongho Heo; Sungrae Park (AAAI, 2021)

Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation. - Mingi Ji; Seungjae Shin; Seunghyun Hwang; Gibeom Park; Il-Chul Moon (CVPR, 2021)

BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents. - Teakgyu Hong; Donghyun Kim 012; Mingi Ji; Wonseok Hwang; Daehyun Nam; Sungrae Park (CoRR, 2021)

BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents. - Teakgyu Hong; Donghyun Kim 012; Mingi Ji; Wonseok Hwang; Daehyun Nam; Sungrae Park (AAAI, 2022)

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. - JoonHo Jang; Byeonghu Na; DongHyeok Shin; Mingi Ji; Kyungwoo Song; Il-Chul Moon (NeurIPS, 2022)

Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models. - Jaeseong Lee 002; Seung-won Hwang; Wonpyo Park; Mingi Ji (EMNLP, 2024)

LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging. - Jinuk Kim; Marwa El Halabi; Mingi Ji; Hyun Oh Song (ICML, 2024)