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Minju Jo
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2020 – today
- 2024
- [j2]Sheo Yon Jhin
, Heejoo Shin, Sujie Kim, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon:
Attentive neural controlled differential equations for time-series classification and forecasting. Knowl. Inf. Syst. 66(3): 1885-1915 (2024) - [c9]Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park:
Parameterized Physics-informed Neural Networks for Parameterized PDEs. ICML 2024 - [i8]Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park:
Parameterized Physics-informed Neural Networks for Parameterized PDEs. CoRR abs/2408.09446 (2024) - 2023
- [c8]Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park:
Learnable Path in Neural Controlled Differential Equations. AAAI 2023: 8014-8022 - [c7]Minju Jo, Seungji Kook, Noseong Park:
Hawkes Process Based on Controlled Differential Equations. IJCAI 2023: 2151-2159 - [i7]Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park, Sungpil Woo, Sunhwan Lim:
Learnable Path in Neural Controlled Differential Equations. CoRR abs/2301.04333 (2023) - [i6]Minju Jo, Seungji Kook, Noseong Park:
Hawkes Process Based on Controlled Differential Equations. CoRR abs/2305.07031 (2023) - 2022
- [c6]Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho:
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. IEEE Big Data 2022: 565-574 - [c5]Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, Noseong Park:
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. ICLR 2022 - [c4]Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park:
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. WWW 2022: 3102-3112 - [i5]Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park:
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. CoRR abs/2204.08771 (2022) - [i4]Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, Noseong Park:
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. CoRR abs/2204.08781 (2022) - [i3]Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho:
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. CoRR abs/2211.04266 (2022) - 2021
- [c3]Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song:
LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising. CIKM 2021: 3857-3866 - [c2]Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon:
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. ICDM 2021: 250-259 - [c1]Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park:
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. KDD 2021: 736-745 - [i2]Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park:
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. CoRR abs/2105.14953 (2021) - [i1]Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song:
LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising. CoRR abs/2108.04993 (2021)
2010 – 2019
- 2019
- [j1]Hyeong-Geol Shin
Advances in gradient echo myelin water imaging at 3T and 7T. NeuroImage 188: 835-844 (2019)
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