About me

I am an assistant professor at Nara Institute of Science and Technology (NAIST), a member of Social Computing Lab. I received my Ph.D degree in social informatics at Kyoto University, supervised by Sugiyama Kazunari. My research interests span data mining and information retrieval.

Selected Publications

  • Encheng Cui, Shaowen Peng, Kazuhiro Ito, Jinsha Xu, Shohei Hisada, Shoko Wakamiya, Eiji Aramaki. “Single-Agent Generation Surpasses Multi-Agent Systems in Semantic Diversity” ACL’26 Findings.

  • Hiroaki Tanaka, Wataru Yamada, Keiichi Ochiai, Shaowen Peng, Shoko Wakamiya, Eiji Aramaki. “Estimating Shared Mental Models via Communication-Categorized Directed Graphs” CHI’26.

  • Michael Van Supranes, Shaowen Peng, Shoko Wakamiya, Eiji Aramaki. “Enhancing Hate Speech Classifiers through a Gradient-assisted Counterfactual Text Generation Strategy” EMNLP ‘25 Findings: 3529-3544.

  • Shaowen Peng, Kazunari Sugiyama, Xin Liu, and Tsunenori Mine. “Balancing Embedding Spectrum for Recommendation.” TORS

  • Shaowen Peng, Xin Liu, Kazunari Sugiyama, and Tsunenori Mine. “How Powerful is Graph Filtering for Recommendation.” KDD ‘24: 2388–2399.

  • Shaowen Peng, Kazunari Sugiyama, and Tsunenori Mine. “Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation.” TOIS 42.3 (2024): 1-26.

  • Shaowen Peng, Kazunari Sugiyama, and Tsunenori Mine. “SVD-GCN: A simplified graph convolution paradigm for recommendation.” CIKM ‘22: 1625-1634.

  • Shaowen Peng, Kazunari Sugiyama, and Tsunenori Mine. “Less is more: Reweighting important spectral graph features for recommendation.” SIGIR ‘22: 1273-1282.