GCN-based Collaborative Filtering Considering Personality Bias. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Improving Dropout in Graph Convolutional Networks for Recommendation via Contrastive Loss. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Flexibly manipulating popularity bias for tackling trade-offs in recommendation. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Inf. Process. Manag., 2024)

Linear Structure Analysis of Embeddings for Bias Disparity Reduction in Collaborative Filtering. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Serv. Comput., 2025)