| 2026 | ACL | Single-Agent Generation Surpasses Multi-Agent Systems in Semantic Diversity. | Cui Encheng, Shaowen Peng, Kazuhiro Ito, Jinsha Xu, Shohei Hisada, Shoko Wakamiya, Eiji Aramaki |
| 2026 | CHI | Estimating Shared Mental Models via Communication-Categorized Directed Graphs. | Hiroaki Tanaka, Wataru Yamada, Keiichi Ochiai, Shaowen Peng, Shoko Wakamiya, Eiji Aramaki |
| 2025 | EMNLP | Enhancing Hate Speech Classifiers through a Gradient-assisted Counterfactual Text Generation Strategy. | Michael van Supranes, Shaowen Peng, Shoko Wakamiya, Eiji Aramaki |
| 2024 | KDD | How Powerful is Graph Filtering for Recommendation. | Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine |
| 2022 | CIKM | SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. | Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine |
| 2022 | SIGIR | Less is More: Reweighting Important Spectral Graph Features for Recommendation. | Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine |
| 2020 | SAC | Mixture-preference bayesian matrix factorization for implicit feedback datasets. | Shaowen Peng, Tsunenori Mine |
| 2018 | PRIMA | Vector Representation Based Model Considering Randomness of User Mobility for Predicting Potential Users. | Shaowen Peng, Xianzhong Xie, Tsunenori Mine, Chang Su |