| 2025 | ICTIR | Generalized Personalized PageRank with Graph Convolutional Networks in Recommender Systems. | Hiroshi Wayama, Kazunari Sugiyama |
| 2024 | KDD | How Powerful is Graph Filtering for Recommendation. | Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine |
| 2024 | SIGIR | Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization. | Yi Yu, Kazunari Sugiyama, Adam Jatowt |
| 2023 | ECIR | Temporal Natural Language Inference: Evidence-Based Evaluation of Temporal Text Validity. | Taishi Hosokawa, Adam Jatowt, Kazunari Sugiyama |
| 2023 | ICTIR | The Effectiveness of Quantum Random Walk Model in Recommender Systems. | Hiroshi Wayama, Kazunari Sugiyama |
| 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 |
| 2021 | ACL | Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries. | Yi Yu, Adam Jatowt, Antoine Doucet, Kazunari Sugiyama, Masatoshi Yoshikawa |
| 2020 | CIKM | FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. | Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan |
| 2019 | NAACL | Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture. | Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama |
| 2018 | COLING | Identifying Emergent Research Trends by Key Authors and Phrases. | Shenhao Jiang, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama |
| 2017 | CIKM | Health Forum Thread Recommendation Using an Interest Aware Topic Model. | Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama |
| 2016 | SIGIR | Linking Organizational Social Network Profiles. | Jerome Cheng, Kazunari Sugiyama, Min-Yen Kan |
| 2015 | DocEng | Generating Abstractive Summaries from Meeting Transcripts. | Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama |
| 2015 | IJCAI | Multi-Document Abstractive Summarization Using ILP Based Multi-Sentence Compression. | Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama |
| 2015 | WWW | Abstractive Meeting Summarization Using Dependency Graph Fusion. | Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama |
| 2014 | SIGIR | Predicting the popularity of web 2.0 items based on user comments. | Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, Kazunari Sugiyama |
| 2014 | SIGIR | New and improved: modeling versions to improve app recommendation. | Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua |
| 2013 | SIGIR | Addressing cold-start in app recommendation: latent user models constructed from twitter followers. | Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua |
| 2012 | ITiCSE | Instructor-centric source code plagiarism detection and plagiarism corpus. | Jonathan Y. H. Poon, Kazunari Sugiyama, Yee Fan Tan, Min-Yen Kan |
| 2009 | CICLING | Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation. | Kazunari Sugiyama, Manabu Okumura |
| 2004 | APWEB | User-Oriented Adaptive Web Information Retrieval Based on Implicit Observations. | Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura |
| 2004 | WWW | Adaptive web search based on user profile constructed without any effort from users. | Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa |
| 2002 | DEXA | A Method of Improving Feature Vector for Web Pages Reflecting the Contents of Their Out-Linked Pages. | Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura |
| 1999 | ACL | Identification of Coreference Between Names and Faces. | Koichi Yamada, Kazunari Sugiyama, Yasunori Yonamine, Hiroshi Nakagawa |