Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. - Joonyoung Yi; Juhyuk Lee; Sung Ju Hwang; Eunho Yang (CoRR, 2019)

Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks. - Joonyoung Yi; Juhyuk Lee; Kwang Joon Kim; Sung Ju Hwang; Eunho Yang (ICLR, 2020)

Embedding Normalization: Significance Preserving Feature Normalization for Click-Through Rate Prediction. - Joonyoung Yi; Beomsu Kim; Buru Chang (ICDM (Workshops), 2021)

Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning. - Joonyoung Yi; Buru Chang (CoRR, 2021)

Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection. - Seong Min Kye; Kwanghee Choi; Joonyoung Yi; Buru Chang (ECCV (25), 2022)

CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform. - Beomsu Kim; Sangbum Kim; Minchan Kim; Joonyoung Yi; Sungjoo Ha; Suhyun Lee; Youngsoo Lee; Gihoon Yeom; Buru Chang; Gihun Lee (ICDM (Workshops), 2024)

CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform. - Beomsu Kim; Sangbum Kim; Minchan Kim; Joonyoung Yi; Sungjoo Ha; Suhyun Lee; Youngsoo Lee; Gihun Yeom; Buru Chang; Gihun Lee (CoRR, 2024)