Hi, thank you for visiting. I am a researcher and an associate professor in Osaka University. I obtained my PhD in computer science from the University of Adelaide in 2016. I was a postdoc in Nanyang Technological University and Kyoto University. My research interests include web mining, social computing, data mining, machine learning, and latent variable models. I publish my research in leading journals and conferences, such as TKDD, KAIS, KBS, WWWJ, PAKDD, ECIR, WISE, etc. I won the best paper award in KSEM 2021. I serve as PC member in conferences such as CIKM and BigData.

Short Biography

2024 - Now: Associate Professor in Osaka University, Japan
2021 - 2024: Specially Appointed Lecturer in Osaka University, Japan
2019 - 2021: Specially Appointed Researcher in Osaka University, Japan
2017 - 2019: Specially Appointed Researcher in Kyoto University, Japan
2016 - 2017: Research fellow in Nanyang Technological University, Singapore
2013 - 2016: Ph.D. student in Computer Science, the University of Adelaide, Australia
2011 - 2012: Master student in Computer Science, the University of Adelaide, Australia
2003 - 2010: Bachelor student in Computer Science, University of New South Wales, Australia

[Full CV]

Publications

[Full Publication List] [My DBLP Page] [My Google Scholar Page]

Codes and data for some papers are available.

Selected Publications

• Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa and Mori Kurokawa, 2024: Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations. The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2024, Washington D.C., USA. (accepted)
• Yihong Zhang and Takahiro Hara, 2024: Joint Knowledge Graph Approach for Event Participant Prediction with Social Media Retweeting. Knowledge and Information Systems. Springer. Volume 66(3), pp. 2115-2133.
• Panote Siriaraya, Yihong Zhang, Péter Jeszenszky, Yukiko Kawai, and Adam Jatowt, 2023: A City-Wide Examination of Fine-Grained Human Emotions through Social Media Analysis. PlOS ONE. PLOS. Volume 18(2), pp. e0279749.
• Yihong Zhang, Xiu Susie Fang, and Takahiro Hara, 2023: Evolving Social Media Background Representation with Frequency Weights and Co-occurrence Graphs. ACM Transactions on Knowledge Discovery from Data. ACM. Volume 17(7), pp. 95:1-95:17.
• Yihong Zhang and Takahiro Hara, 2023: Explainable Integration of Social Media Background in a Dynamic Neural Recommender. ACM Transactions on Knowledge Discovery from Data. ACM. Volume 17(3), pp. 40:1-40:14.
• Yue Zhao, Yihong Zhang, Daichi Amagata, and Takahiro Hara, 2023: POI Recommendation by Learning Short-, Long- and Mid-Term Preferences through GNN. Proceedings of the 24th IEEE International Conference on Mobile Data Management MDM’23, Singapore, pp. 1-10.
• Zhi Li, Daichi Amagata, Yihong Zhang, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, and Mori Kurokawa, 2022: HML4Rec: Hierarchical Meta-Learning for Cold-Start Recommendation in Flash Sale E-commerce. Knowledge-Based Systems. Elsevier. Volume 255, pp. 109674.
• Yihong Zhang, Masumi Shirakawa, and Takahiro Hara, 2021: An Automatic Method for Understanding Political Polarization through Social Media. Proceedings of the 14th International Conference on Knowledge Science, Engineering and Management KSEM 2021, Virtual Conference, pp. 52-63.
• Panote Siriaraya, Yuanyuan Wang, Yihong Zhang, Shoko Wakamiya, Péter Jeszenszky, Yukiko Kawai, Adam Jatowt, 2020: Beyond the Shortest Route: A Survey on Quality-Aware Route Navigation for Pedestrians. IEEE Access. IEEE. Volume 8, pp. 135569-135590.
• Yihong Zhang, Panote Siriaraya, Yukiko Kawai, and Adam Jatowt, 2020: Predicting Time and Location of Future Crimes with Recommendation Methods. Knowledge-Based Systems. Elsevier. Volume 210, pp. 106503.
• Yihong Zhang, Panote Siriaraya, Yukiko Kawai, and Adam Jatowt, 2020: Automatic Latent Street Type Discovery from Web Open Data. Information Systems. Elsevier. Volume 92, pp. 101536. [pdf] [code and data]
• Yihong Zhang and Adam Jatowt, 2019: Image Tweet Popularity Prediction with Convolutional Neural Network. Proceedings of the 41st European Conference on Information Retrieval ECIR'19, Cologne, Germany, pp. 803-809.
• Yihong Zhang, Claudia Szabo, Quan Z. Sheng, and Xiu Susie Fang, 2018: SNAF: An Effective Location Inference and Event Monitoring System for Twitter. World Wide Web. Springer. Volume 21(2), 311-343.
• Yihong Zhang, Claudia Szabo, Quan Z. Sheng, Wei Emma Zhang and Yongrui Qin, 2017: Identifying Domains and Concepts in Short Texts via Partial Taxonomy and Unlabeled Data. Proceedings of The 29th International Conference on Advanced Information Systems Engineering CAiSE'17, Essen, Germany, pp. 127-143.
• Cheng Chang, Yihong Zhang, Claudia Szabo and Quan Z. Sheng, 2016: Extreme User and Political Rumor Detection on Twitter. Proceedings of The 12th International Conference on Advanced Data Mining and Applications ADMA'16, Gold Coast, Australia, pp. 751-763.
• Yihong Zhang, Claudia Szabo, and Quan Z. Sheng, 2014: Cleaning Environmental Sensing Data Streams based on Individual Sensor Reliability. Proceedings of The 15th International Conference on Web Information Systems Engineering WISE'14, Part II, Thessaloniki, Greece, pp. 405-414.

Professional Services

[Full List of Professional Services]

Conference Program Committee Member

• 2024 ACM International Conference on Information and Knowledge Management
• 2024 IEEE International Conference on Big Data

Journal Reviewer

• Information Processing and Management (Elsevier)
• Online Social Networks and Media (Elsevier)
• World Wide Web (Springer)
• ACM Transactions on Intelligent Systems and Technology (ACM)
• IEEE Transaction on Big Data (IEEE)

Grants

2022-2023 Osaka University Graduate School of Information Science and Technology Start-up Program Grant JPY 500,000

Personal

Hobbies: reading novel (especially modern Japanese novels), hiking, playing guitar and ukulele