Hyowon Wi

19 papers A* 5A 2B 2Journal 10
YearRankTypeTitle / Venue / Authors
2025 A* conf
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain.
IJCAI
Hyowon Wi, Jeongwhan Choi, Noseong Park
2025 J jnl
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain.
CoRR
Hyowon Wi, Jeongwhan Choi, Noseong Park
2025 A conf
SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation.
WSDM
Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park
2024 A* conf
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention.
AAAI
Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2024 A conf
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation.
WSDM
Hyowon Wi, Yehjin Shin, Noseong Park
2024 A* conf
Graph Convolutions Enrich the Self-Attention in Transformers!
NeurIPS
Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
2024 A* conf
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring.
ICML
Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park
2024 J jnl
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring.
CoRR
Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park
2024 A* conf
Polynomial-based Self-Attention for Table Representation Learning.
ICML
Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2024 J jnl
Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering.
CoRR
Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park
2023 J jnl
An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention.
CoRR
Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2023 J jnl
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation.
CoRR
Hyowon Wi, Yehjin Shin, Noseong Park
2023 J jnl
Graph Convolutions Enrich the Self-Attention in Transformers!
CoRR
Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
2023 B conf
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations.
IEEE Big Data
Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park
2023 J jnl
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations.
CoRR
Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park
2023 J jnl
Polynomial-based Self-Attention for Table Representation learning.
CoRR
Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2023 J jnl
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation.
CoRR
Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park
2022 B conf
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering.
IEEE Big Data
Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho
2022 J jnl
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering.
CoRR
Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho