Seungmin Jin

13 papers A* 2A 3Journal 8
YearRankTypeTitle / Venue / Authors
2025 A conf
From Patterns to Predictions: A Shapelet-Based Framework for Directional Forecasting in Noisy Financial Markets.
CIKM
Juwon Kim, Hyunwook Lee, Hyotaek Jeon, Seungmin Jin, Sungahn Ko
2025 J jnl
From Patterns to Predictions: A Shapelet-Based Framework for Directional Forecasting in Noisy Financial Markets.
CoRR
Juwon Kim, Hyunwook Lee, Hyotaek Jeon, Seungmin Jin, Sungahn Ko
2023 J jnl
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models.
IEEE Trans. Vis. Comput. Graph.
Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko
2022 J jnl
A Graphical Workflow Exploration Environment For Visual Analytics.
CoRR
Chunggi Lee, Juyoung Oh, Seungmin Jin, Isaac Cho, Sungahn Ko
2022 J jnl
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models.
CoRR
Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko
2022 A conf
An Empirical Study on How People Perceive AI-generated Music.
CIKM
Hyeshin Chu, Joohee Kim, Seongouk Kim, Hongkyu Lim, Hyunwook Lee, Seungmin Jin, Jongeun Lee, Taehwan Kim, Sungahn Ko
2022 A* conf
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting.
ICLR
Hyunwook Lee, Seungmin Jin, Hyeshin Chu, Hongkyu Lim, Sungahn Ko
2021 A* conf
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data.
ICDE
Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko
2021 J jnl
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data.
CoRR
Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko
2021 J jnl
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting.
CoRR
Hyunwook Lee, Seungmin Jin, Hyeshin Chu, Hongkyu Lim, Sungahn Ko
2020 J jnl
A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion.
IEEE Trans. Vis. Comput. Graph.
Chunggi Lee, Yeonjun Kim, Seungmin Jin, Dongmin Kim, Ross Maciejewski, David S. Ebert, Sungahn Ko
2020 A conf
ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed.
CIKM
Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko, Jaegul Choo
2019 J jnl
STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting.
CoRR
Cheonbok Park, Chunggi Lee, Hyojin Bahng, Taeyun won, Kihwan Kim, Seungmin Jin, Sungahn Ko, Jaegul Choo