Mingi Ji

According to our database, Mingi Ji authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging.

Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models.

Jaeseong Lee, Seung-won Hwang, Wonpyo Park, Mingi Ji

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation.

JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents.

Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park

CoRR, 2021

Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation.

Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching.

Mingi Ji, Byeongho Heo, Sungrae Park

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sequential Recommendation with Relation-Aware Kernelized Self-Attention.

Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hierarchical Context Enabled Recurrent Neural Network for Recommendation.

Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Adversarial Dropout for Recurrent Neural Networks.

Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018