Minju Jo

According to our database, Minju Jo authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Attentive neural controlled differential equations for time-series classification and forecasting.

Sheo Yon Jhin, Heejoo Shin, Sujie Kim, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon

Knowl. Inf. Syst., March, 2024

Parameterized Physics-informed Neural Networks for Parameterized PDEs.

Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park

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

2023

Learnable Path in Neural Controlled Differential Equations.

Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park, Sungpil Woo, Sunhwan Lim

CoRR, 2023

Hawkes Process Based on Controlled Differential Equations.

Minju Jo, Seungji Kook, Noseong Park

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learnable Path in Neural Controlled Differential Equations.

Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting.

Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations.

Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, Noseong Park

Proceedings of the Tenth International Conference on Learning Representations, 2022

TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering.

Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho

Proceedings of the IEEE International Conference on Big Data, 2022

2021

LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising.

Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song

CoRR, 2021

ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations.

Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting.

Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon

Proceedings of the IEEE International Conference on Data Mining, 2021

LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising.

Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2019

Advances in gradient echo myelin water imaging at 3T and 7T.

Hyeong-Geol Shin, Se-Hong Oh, Masaki Fukunaga, Yoonho Nam, Doo-Hee Lee, Woojin Jung, Minju Jo, Sooyeon Ji, Joon Yul Choi, Jongho Lee

NeuroImage, 2019