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2020 – today
- 2024
[c6]Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. AAAI 2024: 8984-8992- [c5]Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park:
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. ICML 2024 - [c4]Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
Polynomial-based Self-Attention for Table Representation Learning. ICML 2024 - [c3]Hyowon Wi
, Yehjin Shin, Noseong Park:
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. WSDM 2024: 826-835 - [i9]Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park:
Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. CoRR abs/2405.00287 (2024) - [i8]Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park:
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. CoRR abs/2406.03671 (2024) - 2023
- [c2]Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park:
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. IEEE Big Data 2023: 748-757 - [i7]Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park:
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. CoRR abs/2311.04522 (2023) - [i6]Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park:
Graph Convolutions Enrich the Self-Attention in Transformers! CoRR abs/2312.04234 (2023) - [i5]Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
Polynomial-based Self-Attention for Table Representation learning. CoRR abs/2312.07753 (2023) - [i4]Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention. CoRR abs/2312.10325 (2023) - [i3]Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park:
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. CoRR abs/2312.16563 (2023) - [i2]Hyowon Wi, Yehjin Shin, Noseong Park:
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. CoRR abs/2312.16581 (2023) - 2022
- [c1]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 - [i1]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)
Coauthor Index
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