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Seungmin Jin
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 11
Top Topics
Traffic Data
Pattern Matching
Visual Analytics
Road Network
Top Venues
CoRR
CIKM
IEEE Trans. Vis. Comput. Graph.
ICLR
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Publications
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Seungmin Jin
,
Hyunwook Lee
,
Cheonbok Park
,
Hyeshin Chu
,
Yunwon Tae
,
Jaegul Choo
,
Sungahn Ko
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models.
IEEE Trans. Vis. Comput. Graph.
29 (1) (2023)
Hyeshin Chu
,
Joohee Kim
,
Seongouk Kim
,
Hongkyu Lim
,
Hyunwook Lee
,
Seungmin Jin
,
Jongeun Lee
,
Taehwan Kim
,
Sungahn Ko
An Empirical Study on How People Perceive AI-generated Music.
CIKM
(2022)
Chunggi Lee
,
Juyoung Oh
,
Seungmin Jin
,
Isaac Cho
,
Sungahn Ko
A Graphical Workflow Exploration Environment For Visual Analytics.
CoRR
(2022)
Seungmin Jin
,
Hyunwook Lee
,
Cheonbok Park
,
Hyeshin Chu
,
Yunwon Tae
,
Jaegul Choo
,
Sungahn Ko
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models.
CoRR
(2022)
Hyunwook Lee
,
Seungmin Jin
,
Hyeshin Chu
,
Hongkyu Lim
,
Sungahn Ko
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting.
ICLR
(2022)
Hyunwook Lee
,
Seungmin Jin
,
Hyeshin Chu
,
Hongkyu Lim
,
Sungahn Ko
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting.
CoRR
(2021)
Hyunwook Lee
,
Cheonbok Park
,
Seungmin Jin
,
Hyeshin Chu
,
Jaegul Choo
,
Sungahn Ko
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data.
ICDE
(2021)
Hyunwook Lee
,
Cheonbok Park
,
Seungmin Jin
,
Hyeshin Chu
,
Jaegul Choo
,
Sungahn Ko
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data.
CoRR
(2021)
Cheonbok Park
,
Chunggi Lee
,
Hyojin Bahng
,
Yunwon Tae
,
Seungmin Jin
,
Kihwan Kim
,
Sungahn Ko
,
Jaegul Choo
ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed.
CIKM
(2020)
Chunggi Lee
,
Yeonjun Kim
,
Seungmin Jin
,
Dongmin Kim
,
Ross Maciejewski
,
David S. Ebert
,
Sungahn Ko
A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion.
IEEE Trans. Vis. Comput. Graph.
26 (11) (2020)
Cheonbok Park
,
Chunggi Lee
,
Hyojin Bahng
,
Taeyun won
,
Kihwan Kim
,
Seungmin Jin
,
Sungahn Ko
,
Jaegul Choo
STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting.
CoRR
(2019)