Yehjin Shin

According to our database, Yehjin Shin authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation.

Yehjin Shin, Seojin Kim, Noseong Park

CoRR, March, 2026

2025

TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation.

Yehjin Shin, Jeongwhan Choi, Seojin Kim, Noseong Park

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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 37: 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

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

2022

SOS: Score-based Oversampling for Tabular Data.

Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022