Hyowon Wi

According to our database, Hyowon Wi authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation.

Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain.

Hyowon Wi, Jeongwhan Choi, Noseong Park

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering.

Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park

CoRR, 2024

Continuous-time Autoencoders for Regular and Irregular Time Series Imputation.

Hyowon Wi, Yehjin Shin, Noseong Park

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Graph Convolutions Enrich the Self-Attention in Transformers!

Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Polynomial-based Self-Attention for Table Representation Learning.

Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park

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

PANDA: Expanded Width-Aware Message Passing Beyond Rewiring.

Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park

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

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention.

Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation.

Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park

CoRR, 2023

Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations.

Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park

Proceedings of the IEEE International Conference on Big Data, 2023

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