Journal Research Papers

1. Yihong Zhang and Takahiro Hara, 2024: Extracting Political Interest Model from Interaction Data Based on Novel Word-level Bias Assignment. ACM Transactions on Intelligent Systems and Technology. (accepted)
2. Yihong Zhang, Masumi Shirakawa, and Takahiro Hara, 2024: Word-Level Political Sentiments Inferred from Social Media and Application in Recommendation Diversification. ACM Transactions on the Web. (accepted)
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. Yihong Zhang, Masumi Shirakawa, and Takahiro Hara, 2022: Generalized Durative Event Detection on Social Media. Journal of Intelligent Information Systems. Springer. Volume 60, pp. 73-95.
9. Wan Jou She, Chee Siang Ang, Robert a Neimeyer, Laurie a Burke, Yihong Zhang, Adam Jatowt, Yukiko Kawai, Jun Hu, Matthias Rauterberg, Holly G Prigerson, and Panote Siriaraya, 2022: Investigation of a Web-based Explainable AI Screening for Prolonged Grief Disorder. IEEE Access. IEEE. Volume 10, pp. 41164-41185.
10. Yihong Zhang, Masumi Shirakawa, and Takahiro Hara, 2021: Predicting Temporary Deal Success with Social Media Timing Signals. Journal of Intelligent Information Systems. Springer. Volume 59, pp. 1-19.
11. 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.
12. 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.
13. Yihong Zhang, Panote Siriaraya, Yukiko Kawai, and Adam Jatowt, 2020: Analysis of Street Crime Predictors in Web Open Data. Journal of Intelligent Information Systems. Springer. Volume 55(3), pp. 535-559.
14. Yihong Zhang and Adam Jatowt, 2020: Estimating A One-class Naive Bayes Text Classifier. Intelligent Data Analysis. IOS Press. Volume 24(3), pp. 567-579.
15. Xiaodong Ning, Lina Yao, Boualem Benatallah, Yihong Zhang, Salil. S. Kanhere and Quan Z. Sheng, 2019: Source-aware Crisis-relevant Tweet Identification and Key Information Summarization. ACM Transactions on Internet Technology. ACM. Volume 19(3), 37:1-37:20.
16. 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.
17. Yihong Zhang, Claudia Szabo, and Quan Z. Sheng, 2015: Reduce or Remove: Individual Sensor Reliability Profiling and Data Cleaning. Intelligent Data Analysis. IOS Press. Volume 20(5), 979-995.
18. Claudia Szabo, Quan Z. Sheng, Trent Kroeger, Yihong Zhang, and Jian Yu, 2013: Science in the Cloud: Allocation and Execution of Data-Intensive Scientific Workflows. Journal of Grid Computing. Springer. Volume 12(2), 245-264.

Journal Review Papers

1. Yihong Zhang, Masumi Shirakawa, Yuanyuan Wang, Zhi Li, and Takahiro Hara, 2022: Twitter-Aided Decision Making: A Review of Recent Developments. Applied Intelligence. Springer. Volume 52, pp. 13839-13854.
2. 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.

Conference Research Papers

1. Shengzhe Jiao, Yihong Zhang, Yuanyuan Wang, Shingo Mabu, Haoyang Xia, and Takahiro Hara, 2024: Multi-modal Contrastive Learning for Medical Image Classification with Limited Training Data. The 23rd IEEE International Conference on Machine Learning and Applications ICMLA 2024, Florida, USA. (accepted)
2. Yuma Dose, Shuichiro Haruta, Yihong Zhang, and Takahiro Hara, 2024: Hypergraph Contrastive Learning with Graph Structure Learning for Recommendation. The 23rd IEEE International Conference on Machine Learning and Applications ICMLA 2024, Florida, USA. (accepted)
3. Xiu Fang, Haiyan Zhuo, Quan Z. Sheng, Yihong Zhang, Tiancheng Zhu, Xinyang Du, and Guohao Sun, 2024: Truth Discovery in Social Sensing Based on Propagation Pattern and Multi-Modal Semantic Consistency Analysis. The 20th International Conference on Advanced Data Mining and Applications ADMA 2024, Sydney, Australia. (accepted)
4. Yihong Zhang and Takahiro Hara, 2024: Event Embedding Learning from Social Media Using Graph Topic Model Autoencoder. The 16th International Conference on Advances in Social Networks Analysis and Mining ASONAM 2024, Calabria, Italy. (accepted)
5. 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)
6. Yihong Zhang, Lina Yao, and Takahiro Hara, 2023: Integrating Social Environment in Machine Learning Model for Debiased Recommendation. The 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2023. (accepted)
7. Shengzhe Jiao, Yihong Zhang, and Takahiro Hara, 2023: Multi-modal Relational Side Information Graph Attention Networks for Recommender System. International Conference on Machine Learning and Applications ICMLA’23, Florida, USA. (accepted)
8. Yihong Zhang and Takahiro Hara, 2023: Organized Event Participant Prediction Enhanced by Social Media Retweeting Data. Proceedings of the 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology WI-IAT’23, Venice, Italy, pp. 243-248.
9. Yihong Zhang, Takahiro Hara, and Lina Yao, 2023: Polarization-Aware Embedding Learning from Social Media Knowledge Graph. Proceedings of the 2023 International Joint Conference on Neural Networks IJCNN’23, Gold Coast, Australia, pp. 1-8.
10. Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, and Lina Yao, 2023: Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR’23, Taiwan, pp. 1874-1878.
11. 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.
12. Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, and Mori Kurokawa, 2023: Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations. Proceedings of the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD’23, Osaka, Japan, pp. 271-283.
13. Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, and Mori Kurokawa, 2022: Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. Proceedings of 2022 IEEE International Conference on Big Data BigData'22, Osaka, Japan, pp. 762-769.
14. Yihong Zhang and Takahiro Hara, 2022: Utilizing Social Media Retweeting for Improving Event Participant Prediction. Proceedings of 2022 International Conference on Web Information Systems Engineering WISE'22, Biarritz, France, pp. 3-10.
15. Yihong Zhang, Masumi Shirakawa, and Takahiro Hara, 2022: Cross-Domain Event Participant Prediction with Public Event Description. Proceedings of the 12th IIAI International Congress on Advanced Applied Informatics. Kanazawa, Japan, pp. 33-38.
16. Yihong Zhang, Masumi Shirakawa, and Takahiro Hara, 2021: A General Method for Event Detection on Social Media. Proceedings of the 25th European Conference on Advances in Databases and Information Systems ADBIS 2021, Virtual Conference, pp. 43-56.
17. 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. (best paper winner)
18. Yihong Zhang, Takuya Maekawa, and Takahiro Hara, 2021: Using Social Media Background to Improve Cold-start Recommendation Deep Models. Proceedings of the 2021 IEEE International Joint Conference on Neural Networks IJCNN 2021, Virtual Conference, pp. 1-8.
19. Yihong Zhang and Takahiro Hara, 2021: Predicting E-commerce Item Sales with Web Environment Temporal Background. Proceedings of the 24th International Conference on Business Information Systems BIS2021, Virtual Conference, pp. 233-243.
20. Yihong Zhang, Masumi Shirakawa, and Takahiro Hara, 2020: A Probabilistic Model for Predicting E-commerce Purchases from Emerging Local and Social Interests. Proceedings of the 2020 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology WI-IAT 2020, Virtual Conference, pp. 345-350.
21. Yihong Zhang, Takahiro Hara, and Masumi Shirakawa, 2020: Discovering Social Media Timing Signals for Predicting Temporary Deal Success. Proceedings of the 28th European Conference on Information Systems ECIS 2020, Virtual Conference.
22. Yihong Zhang and Takahiro Hara, 2020: A Probabilistic Model for Malicious User and Rumor Detection on Social Media. Proceedings of the 53rd Hawaii International Conference on System Sciences HICSS 2020, Hawaii, USA, pp. 2529-2538. (best paper candidate)
23. Yihong Zhang, Adam Jatowt, and Yukiko Kawai, 2019: Finding Baby Mothers on Twitter. Proceedings of The 19th International Conference on Web Engineering ICWE'19, Daejeon, South Korea, pp. 211-219.
24. Yihong Zhang, Panote Siriaraya, Yukiko Kawai and Adam Jatowt, 2019: Time and Location Recommendation for Crime Prevention. Proceedings of The 19th International Conference on Web Engineering ICWE'19, Daejeon, South Korea, pp. 47-62.
25. 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.
26. Yihong Zhang, Yongrui Qin, and Longkun Guo, 2018: Constructing Multiple Domain Taxonomy for Text Processing Tasks. Proceedings of The 29th International Conference on Database and Expert Systems Applications DEXA’18 Part II, Regensburg, Germany, pp. 501-509.
27. Yihong Zhang and Lina Yao, 2018: Mining POI Alias from Microblog Conversations. Proceedings of The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD'18, Melbourne, Australia, pp. 425-436.
28. 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.
29. 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.
30. Yihong Zhang, Claudia Szabo, and Quan Z. Sheng, 2016: Improved Object and Event Monitoring on Twitter Through Lexical Analysis and User Profiling. Proceedings of The 17th International Conference on Web Information Systems Engineering WISE'16 Part II, Shanghai, China, pp.19-34. (best paper candidate)
31. Yihong Zhang, Claudia Szabo, and Quan Z. Sheng, 2015: An Estimation Maximization based Approach for Finding Reliable Sensors in Environmental Sensing Data. Proceedings of The 21st IEEE International Conference on Parallel and Distributed Systems ICPADS'15, Melbourne, Australia, pp. 190-197.
32. Ali Shemshadi, Lina Yao, Yongrui Qin, Quan Z. Sheng, and Yihong Zhang, 2015: ECS A Framework for Diversified and Relevant Search in the Internet of Things. Proceedings of The 16th International Conference on Web Information Systems Engineering WISE'15 Part I, Miami, USA, pp. 448-462.
33. Yihong Zhang, Claudia Szabo, and Quan Z. Sheng, 2015: Sense and Focus: Towards Effective Location Inference and Event Detection on Twitter. Proceedings of The 16th International Conference on Web Information Systems Engineering WISE'15 Part I, Miami, USA, pp. 463-477.
34. Yihong Zhang, Claudia Szabo, Quan Z. Sheng, and Xiu Susie Fang, 2015: Classifying Perspectives on Twitter: Immediate Observation, Affection, and Speculation. Proceedings of The 16th International Conference on Web Information Systems Engineering WISE'15 Part I, Miami, USA, pp. 493-507.
35. 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.

Workshop and Demo Papers

1. Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, and Lina Yao, 2023: NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management CKIM 2023, Birmingham, UK, pp. 5123-5127.
2. Yihong Zhang, Xiu Susie Fang, and Takahiro Hara, 2023: Real-time Integration of Social Media Background in Dynamic Recommendation Systems. SIGIR 2023 workshop on eCommerce, Taipei, Taiwan. (accepted)
3. Xiu Susie Fang, Quan Z. Sheng, Jian Yang, Guohao Sun, Xianzhi Wang, and Yihong Zhang, 2022: Resolving Conflicts among Unbalanced Multi-Source Data When Multi-Value Objects Exist. Proceedings of 2022 IEEE Conference on Computer Communications Workshops INFOCOM WKSHPS, New York, NY, USA, pp. 1-2.
4. Yihong Zhang, Panote Siriaraya, Yukiko Kawai and Adam Jatowt, 2019: Rehab-Path: Recommending Alcohol and Drug-free Route. Proceedings of the 28th ACM International Conference on Information and Knowledge Management CIKM 2019, Beijing, China, pp. 2929-2932.
5. Panote Siriaraya, Yihong Zhang, Yuanyuan Wang, Yukiko Kawai, Péter Jeszenszky, and Adam Jatowt, 2019: Witnessing Crime through Tweets: A Crime Investigation Tool based on Social Media. Proceedings of the 27th International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2019, Chicago, Illinois, USA, pp. 568-571.
6. Shoko Wakamiya, Panote Siriaraya, Yihong Zhang, Yukiko Kawai, Eiji Aramaki, and Adam Jatowt, 2019: Pleasant Route Suggestion based on Color and Object Rates. Proceedings of the 12th ACM International Web Search and Data Mining Conference WSDM'19, Melbourne, Australia, pp. 786-789.
7. Yuanyuan Wang, Yihong Zhang, Panote Siriaraya, Yukiko Kawai, Adam Jatowt, 2018: Language Density Driven Route Navigation System for Pedestrians based on Twitter Data. Proceedings of The 23rd International Conference on Intelligent User Interfaces IUI'18 Companion, Tokyo, Japan, 26:1-26:2.
8. Yihong Zhang, Panote Siriaraya, Yuanyuan Wang, Shoko Wakamiya, Yukiko Kawai and Adam Jatowt, 2018: Walking down a Different Path: Route Recommendation based on Visual and Facility based Diversity. Companion of The Web Conference 2018 WWW'18, Lyon, France, pp. 171-174.