Identification of Coreference Between Names and Faces. - Koichi Yamada; Kazunari Sugiyama; Yasunori Yonamine; Hiroshi Nakagawa (COREF@ACL, 1999)

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 (DEXA, 2002)

Refinement of TF-IDF schemes for web pages using their hyperlinked neighboring pages. - Kazunari Sugiyama; Kenji Hatano; Masatoshi Yoshikawa; Shunsuke Uemura (Hypertext, 2003)

User-Oriented Adaptive Web Information Retrieval Based on Implicit Observations. - Kazunari Sugiyama; Kenji Hatano; Masatoshi Yoshikawa; Shunsuke Uemura (APWeb, 2004)

Adaptive web search based on user profile constructed without any effort from users. - Kazunari Sugiyama; Kenji Hatano; Masatoshi Yoshikawa (WWW, 2004)

Improvement in TF-IDF scheme for Web pages based on the contents of their hyperlinked neighboring pages. - Kazunari Sugiyama; Kenji Hatano; Masatoshi Yoshikawa; Shunsuke Uemura (Syst. Comput. Jpn., 2005)

Personal Name Disambiguation in Web Search Results Based on a Semi-supervised Clustering Approach. - Kazunari Sugiyama; Manabu Okumura (ICADL, 2007)

TITPI: Web People Search Task Using Semi-Supervised Clustering Approach. - Kazunari Sugiyama; Manabu Okumura (SemEval@ACL, 2007)

Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation. - Kazunari Sugiyama; Manabu Okumura (CICLing, 2009)

ForeCite: towards a reader-centric scholarly digital library. - Thuy Dung Nguyen; Min-Yen Kan; Dinh-Trung Dang; Markus Hänse; Ching Hoi Andy Hong; Minh-Thang Luong; Jesse Prabawa Gozali; Kazunari Sugiyama; Yee Fan Tan (JCDL, 2010)

Scholarly paper recommendation via user's recent research interests. - Kazunari Sugiyama; Min-Yen Kan (JCDL, 2010)

Product review summarization from a deeper perspective. - Duy Khang Ly; Kazunari Sugiyama; Ziheng Lin; Min-Yen Kan (JCDL, 2011)

Serendipitous recommendation for scholarly papers considering relations among researchers. - Kazunari Sugiyama; Min-Yen Kan (JCDL, 2011)

Product Review Summarization based on Facet Identification and Sentence Clustering - Duy Khang Ly; Kazunari Sugiyama; Ziheng Lin; Min-Yen Kan (CoRR, 2011)

Instructor-centric source code plagiarism detection and plagiarism corpus. - Jonathan Y. H. Poon; Kazunari Sugiyama; Yee Fan Tan; Min-Yen Kan (ITiCSE, 2012)

Introduction to the 2011 JCDL Doctoral Consortium Issue. - Luanne Freund; Edie Rasmussen; Kazunari Sugiyama (Bull. IEEE Tech. Comm. Digit. Libr., 2012)

Serendipitous Recommendation for Mobile Apps Using Item-Item Similarity Graph. - Upasna Bhandari; Kazunari Sugiyama; Anindya Datta; Rajni Jindal (AIRS, 2013)

Exploiting potential citation papers in scholarly paper recommendation. - Kazunari Sugiyama; Min-Yen Kan (JCDL, 2013)

Addressing cold-start in app recommendation: latent user models constructed from twitter followers. - Jovian Lin; Kazunari Sugiyama; Min-Yen Kan; Tat-Seng Chua (SIGIR, 2013)

Predicting the popularity of web 2.0 items based on user comments. - Xiangnan He 001; Ming Gao 001; Min-Yen Kan; Yiqun Liu 001; Kazunari Sugiyama (SIGIR, 2014)

New and improved: modeling versions to improve app recommendation. - Jovian Lin; Kazunari Sugiyama; Min-Yen Kan; Tat-Seng Chua (SIGIR, 2014)

Generating Abstractive Summaries from Meeting Transcripts. - Siddhartha Banerjee; Prasenjit Mitra; Kazunari Sugiyama (DocEng, 2015)

Multi-Document Abstractive Summarization Using ILP Based Multi-Sentence Compression. - Siddhartha Banerjee; Prasenjit Mitra; Kazunari Sugiyama (IJCAI, 2015)

Abstractive Meeting Summarization Using Dependency Graph Fusion. - Siddhartha Banerjee; Prasenjit Mitra; Kazunari Sugiyama (WWW (Companion Volume), 2015)

A comprehensive evaluation of scholarly paper recommendation using potential citation papers. - Kazunari Sugiyama; Min-Yen Kan (Int. J. Digit. Libr., 2015)

"Towards higher relevance and serendipity in scholarly paper recommendation" by Kazunari Sugiyama and Min-Yen Kan with Martin Vesely as coordinator. - Kazunari Sugiyama; Min-Yen Kan (SIGWEB Newsl., 2015)

Introduction to the 2015 Joint Conference on Digital Libraries Doctoral Consortium Issue. - Kazunari Sugiyama; Catherine L. Smith (Bull. IEEE Tech. Comm. Digit. Libr., 2015)

Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators. - Jovian Lin; Kazunari Sugiyama; Min-Yen Kan; Tat-Seng Chua (AIRS, 2016)

Linking Organizational Social Network Profiles. - Jerome Cheng; Kazunari Sugiyama; Min-Yen Kan (SIGIR, 2016)

Abstractive Meeting Summarization UsingDependency Graph Fusion. - Siddhartha Banerjee; Prasenjit Mitra; Kazunari Sugiyama (CoRR, 2016)

Health Forum Thread Recommendation Using an Interest Aware Topic Model. - Kishaloy Halder; Min-Yen Kan; Kazunari Sugiyama (CIKM, 2017)

Treatment Side Effect Prediction from Online User-generated Content. - Hoang Nguyen; Kazunari Sugiyama; Min-Yen Kan; Kishaloy Halder (Louhi@EMNLP, 2018)

Identifying Emergent Research Trends by Key Authors and Phrases. - Shenhao Jiang; Animesh Prasad; Min-Yen Kan; Kazunari Sugiyama (COLING, 2018)

Neural Multi-task Learning for Citation Function and Provenance. - Xuan Su; Animesh Prasad; Min-Yen Kan; Kazunari Sugiyama (JCDL, 2019)

Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture. - Kishaloy Halder; Min-Yen Kan; Kazunari Sugiyama (NAACL-HLT (1), 2019)

A Framework for Classifying Temporal Relations with Question Encoder. - Yohei Seki; Kangkang Zhao; Masaki Oguni; Kazunari Sugiyama (ICADL, 2020)

Neural side effect discovery from user credibility and experience-assessed online health discussions. - Van-Hoang Nguyen; Kazunari Sugiyama; Min-Yen Kan; Kishaloy Halder (J. Biomed. Semant., 2020)

Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries. - Yi Yu; Adam Jatowt; Antoine Doucet; Kazunari Sugiyama; Masatoshi Yoshikawa (ACL/IJCNLP (1), 2021)

Generalized Negative Sampling for Implicit Feedback in Recommendation. - Yuki Yamanaka; Kazunari Sugiyama (WI/IAT, 2021)

Prerequisite-aware course ordering towards getting relevant job opportunities. - Yiling Dai; Masatoshi Yoshikawa; Kazunari Sugiyama (Expert Syst. Appl., 2021)

SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. - Shaowen Peng; Kazunari Sugiyama; Tsunenori Mine (CIKM, 2022)

Less is More: Reweighting Important Spectral Graph Features for Recommendation. - Shaowen Peng; Kazunari Sugiyama; Tsunenori Mine (SIGIR, 2022)

Explainable Recommendation Enhancing Review Properties and PPLM. - Akihiro Kokubo; Kazunari Sugiyama (WI/IAT, 2022)

Job Recommendation Based on Multiple Behaviors and Explicit Preferences. - Yosuke Saito; Kazunari Sugiyama (WI/IAT, 2022)

FANG: leveraging social context for fake news detection using graph representation. - Van-Hoang Nguyen; Kazunari Sugiyama; Preslav Nakov; Min-Yen Kan (Commun. ACM, 2022)

CNN-based framework for classifying temporal relations with question encoder. - Yohei Seki; Kangkang Zhao; Masaki Oguni; Kazunari Sugiyama (Int. J. Digit. Libr., 2022)

Temporal Natural Language Inference: Evidence-Based Evaluation of Temporal Text Validity. - Taishi Hosokawa; Adam Jatowt; Kazunari Sugiyama (ECIR (1), 2023)

The Effectiveness of Quantum Random Walk Model in Recommender Systems. - Hiroshi Wayama; Kazunari Sugiyama (ICTIR, 2023)

Multi-Behavior Job Recommendation with Dynamic Availability. - Yosuke Saito; Kazunari Sugiyama (SIGIR-AP, 2023)

AdaReX: Cross-Domain, Adaptive, and Explainable Recommender System. - Yi Yu; Kazunari Sugiyama; Adam Jatowt (SIGIR-AP, 2023)

How Powerful is Graph Filtering for Recommendation. - Shaowen Peng; Xin Liu 020; Kazunari Sugiyama; Tsunenori Mine (KDD, 2024)

Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization. - Yi Yu; Kazunari Sugiyama; Adam Jatowt (SIGIR, 2024)

Leveraging multiple behaviors and explicit preferences for job recommendation. - Yosuke Saito; Kazunari Sugiyama (Expert Syst. Appl., 2024)

Special issue on selected papers from ICADL 2021. - Emi Ishita; Sue Yeon Syn; Hao-Ren Ke; Chei Sian Lee; Kazunari Sugiyama (Int. J. Digit. Libr., 2024)

Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation. - Shaowen Peng; Kazunari Sugiyama; Tsunenori Mine (ACM Trans. Inf. Syst., 2024)

Temporal validity reassessment: commonsense reasoning about information obsoleteness. - Taishi Hosokawa; Adam Jatowt; Kazunari Sugiyama (Discov. Comput., 2024)

Domain Counterfactual Data Augmentation for Explainable Recommendation. - Yi Yu; Kazunari Sugiyama; Adam Jatowt (ACM Trans. Inf. Syst., 2025)

Balancing Embedding Spectrum for Recommendation. - Shaowen Peng; Kazunari Sugiyama; Xin Liu 020; Tsunenori Mine (Trans. Recomm. Syst., 2025)