​
Login / Signup
Hyowon Wi
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 13
Top Topics
Deal With Information Overload
Positive Samples
Ordinary Differential Equations
Collaborative Filtering
Top Venues
CoRR
BigData
WSDM
AAAI
</>
Publications
</>
Yehjin Shin
,
Jeongwhan Choi
,
Hyowon Wi
,
Noseong Park
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention.
AAAI
(2024)
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
(2024)
Hyowon Wi
,
Yehjin Shin
,
Noseong Park
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation.
WSDM
(2024)
Jeongwhan Choi
,
Sumin Park
,
Hyowon Wi
,
Sung-Bae Cho
,
Noseong Park
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring.
CoRR
(2024)
Jeongwhan Choi
,
Hyowon Wi
,
Jayoung Kim
,
Yehjin Shin
,
Kookjin Lee
,
Nathaniel Trask
,
Noseong Park
Graph Convolutions Enrich the Self-Attention in Transformers!
CoRR
(2023)
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.
BigData
(2023)
Hyowon Wi
,
Yehjin Shin
,
Noseong Park
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation.
CoRR
(2023)
Jayoung Kim
,
Yehjin Shin
,
Jeongwhan Choi
,
Hyowon Wi
,
Noseong Park
Polynomial-based Self-Attention for Table Representation learning.
CoRR
(2023)
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
(2023)
Yehjin Shin
,
Jeongwhan Choi
,
Hyowon Wi
,
Noseong Park
An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention.
CoRR
(2023)
Jeongwhan Choi
,
Hyowon Wi
,
Chaejeong Lee
,
Sung-Bae Cho
,
Dongha Lee
,
Noseong Park
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation.
CoRR
(2023)
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
(2022)
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.
Big Data
(2022)