Dr. Hui Fang is an Associate Professor in SHUFE. Her main research interests lie in tackling complex business problems by leveraging interdisciplinary methods from Computer Science (e.g., machine learning and data mining), Economics (e.g., econometric analysis), Behavior (e.g., user study) and Psychology. My research focus is on two areas: (1) business analytics; and (2) user modeling and decision-making. Below is a more detailed description of her current research interests:

1) Business Analytics (BA)

    Trust Prediction in Online Communities

    Personalized Product Recommendation

    E-commerce and Social Networks

2) User Modeling and Decision-making (UM&DM)

    Subjectivity and Dishonesty Modeling

    Online Review and Reputation Systems

    Data-Driven Decision-making

Presently she is the Senior Editor of the ECRA journal, and invited referees of other journals and conferences like TKDE, JASIST, Cybernetics, DSS, PACIS, and ICIS.  She also serves as a Program Committee Member for international conferences, including UMAP and IJCAI, etc.

机器学习与深度学习

深度学习

商务智能之数据可视化

信息系统导论

管理信息系统

国家自然科学基金青年项目，71601104，基于信任理论与机器学习的在线评价质量评估模型研究，2017.01-2019.12，在研，主持。

International Collaborator, Singapore MOE AcRF Tier 1 “Link Prediction in Signed Social Networks"

2015, 新加坡南洋理工大学计算机工程学院, 博士

2010, 南京大学信息管理系, 硕士

2008, 南京大学信息管理与信息系统, 学士

Journal Paper：

Hui Fang, Jie Zhang, and Murat Sensoy. “A Generalized Stereotype Learning Approach and its Instantiation in Trust Modeling”, Electronic Commerce Research and Applications (ECRA), 30: 149-158, 2018

Hui Fang, Guibing Guo and Jie Zhang. “Multi-faceted Trust and Distrust Prediction for Recommender Systems”. Decision Support Systems (DSS), 71:37-47, 2015. 

Hui Fang, Jie Zhang, Murat Sensoy and Nadia Magnenat Thalmann. “Reputation Mechanism for E-Commerce in Virtual Reality Environments”. Electronic Commerce Research and Applications (ECRA), 13 (6): 409-422, 2014. 

Hui Fang, Jie Zhang, Yang Bao and Qinghua Zhu. “Towards Effective Online Review Systems in the Chinese Context: A Cross-Cultural Empirical Study”. Electronic Commerce Research and Applications (ECRA), 12 (3): 208-220, 2013. 

Kewen Wu, Julita Vassileva, Qinghua Zhu, Hui Fang and Xiaojie Tan. “Supporting Group Collaboration in Wiki by Increasing the Awareness of Task Conflict”. Aslib Proceedings, 65 (6), 2013.

Conference paper：

Xiaoming Li, Hui Fang, and Jie Zhang. “SupervisedUser Ranking in Signed SocialNetworks”, In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019.

Yihong Liu, Hui Fang, Yang Bao. "SCNetworkViz: AWeb-Based System for Interactive Visualization of Supply Chain Network", Demo paper, The 28th Workshop on Information Technologies and Systems (WITS), 2018.

Hui Fang, Hailiang Huang, Gujie Li, and Yanhong Li. “Learning from Mistakes: Constructing and Mining Misdiagnosis Database to Reduce Cognitive Error". In Proceedings of the 39th International Conference on Information Systems (ICIS), 2018.

Xiaoming Li, Hui Fang, and Jie Zhang. “FILE: A Novel Framework for Predicting Social Status in Signed Networks”. In Proceedings of the 32rd AAAI Conference on Artificial Intelligence (AAAI), 2018

Xiaoming Li, Hui Fang, Qing Yang, and Jie Zhang. “Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship”, In Proceedings of the 26th ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2018.

Xiaoming Li, Hui Fang, and Jie Zhang. “A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks”. In Proceedings of the 13th International Conference on Advanced Data Mining and Applications (ADMA), 2017

Yang Bao, Hui Fang, and Jie Zhang. “TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation”. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014. 

Hui Fang, Yang Bao, and Jie Zhang. “Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation”. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014. 

Hui Fang, Jie Zhang and Nadia Magnenat-Thalmann. “Subjectivity Grouping: Learning from Users’ Rating Behavior”. In Proceedings of the 13th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pages 1241-1248, 2014.

Hui Fang, Yang Bao, and Jie Zhang. “Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity”. In Proceedings of 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013. 

Hui Fang, Jie Zhang and Nadia Magnenat Thalmann. “A Trust Model Stemmed from the Diffusion Theory for Opinion Evaluation”. In Proceedings of the 12th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pages 805-812, 2013. 

Hui Fang, Jie Zhang, Murat Sensoy and Nadia Magnenat Thalmann. “SARC: Subjectivity Alignment for Reputation Computation”. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pages 1365-1366, 2012. 

Hui Fang, Jie Zhang, Murat ¸Sensoy and Nadia Magnenat Thalmann. “A Generalized Stereotypical Trust Model”. In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom), pages 698-705, 2012.

Hui Fang, Jie Zhang, Murat ¸Sensoy and Nadia Magnenat Thalmann. “A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment”. In Proceedings of the 10th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom), pages 312-319, 2011.

Outstanding Reviewer, Electronic Commerce Research and Applications journal, Elsevier, 2016

Google Anita Borg Memorial Scholarship (1 of 15 Recipients), Asia, 2012

IJCAI Travel Scholarship, 2013

SIGART AAMAS Travel Scholarship, 2012 and 2013

DragonVenture-NTU Scholarship (1 of 10 Recipients), 2011