Min-Joong Lee (Ph.D.)
Min-Joong Lee (Ph.D.)
SAMSUNG ADVANCED INSTITUTION OF TECHNOLOGY
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Qube: a quick algorithm for updating betweenness centrality
MJ Lee, J Lee, JY Park, RH Choi, CW Chung
Proceedings of the 21st international conference on World Wide Web, 351-360, 2012
1082012
A user similarity calculation based on the location for social network services
MJ Lee, CW Chung
International Conference on Database Systems for Advanced Applications, 38-52, 2011
802011
Efficient Algorithms for Updating Betweenness Centrality in Fully Dynamic Graphs
CWC M.J. Lee, S. Choi
Information Sciences 326, 278-296, 2016
492016
Knowledge Distillation Using Output Errors for Self-attention End-to-end Models
YSC Ho-Gyeong Kim, Hwidong Na, Hoshik Lee, Jihyun Lee, Tae Gyoon Kang, Min ...
ICASSP, 2019
15*2019
The direction-constrained k nearest neighbor query
MJ Lee, DW Choi, SY Kim, HM Park, S Choi, CW Chung
GeoInformatica 20 (3), 471-502, 2016
122016
Method for updating betweenness centrality of graph
MJ Lee, JM Lee, CW CHUNG
US Patent 9,075,734, 2015
92015
Finding k-highest betweenness centrality vertices in graphs
MJ Lee, CW Chung
Proceedings of the 23rd International Conference on World Wide Web, 339-340, 2014
72014
Partially Overlapped Inference for Long-Form Speech Recognition
TG Kang, HG Kim, MJ Lee, J Lee, H Lee
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
12021
Adaptable multi-domain language model for transformer asr
T Lee, MJ Lee, TG Kang, S Jung, M Kwon, Y Hong, J Lee, KG Woo, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
12021
Learning monotonic alignments with source-aware GMM attention
TG Kang, HG Kim, MJ Lee, J Lee, S Ok, H Lee, YS Choi
12020
Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models}}
HG Kim, MJ Lee, H Lee, TG Kang, J Lee, E Yang, SJ Hwang
Proc. Interspeech 2021, 2531-2535, 2021
2021
Knowledge Distillation Using Output Errors for Self-Attention ASR Models
HG Kim, H Na, H Lee, J Lee, TG Kang, MJ Lee, YS Choi
2019
ONTOMS2: an Efficient and Scalable ONTOlogy Management System with an Incremental Reasoning.
MJ Lee, JR Lee, S Kim, MJ Park, CW Chung
International Semantic Web Conference (Posters & Demos), 153-156, 2013
2013
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Articles 1–13