Hui Fang

Hui Fang

Assistant Professor

machine learning and data mining, business analytics, user modeling and decision making
Introduction to Information Systems
Management Information Systems
Deep Learning
Data Visualization
Scientific Computing
School of Information Management and Engineering 525


Dr. Fang received her Ph.D. from the School of Computer Engineering, Nanyang Technological University, Singapore. Her main research interests are 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. The research focus is on two areas: (1) business analytics, including trust prediction in online communities, personalized product recommendation, e-commerce and social networks; and (2) user modeling and decision-making, including subjectivity and dishonesty modeling, online review and reputation systems, and data-driven decision making.

Dr. Fang has published more than 20 papers in A-level conferences like IJCAI, AAA and AAMAS, and MIS Journals including Decision Support Systems (DSS) and Electronic Commerce Research and Applications. She has won several scholarships, like IJCAI and AAMAS travel and student scholarships, Google Anita Borg Memorial Scholarships (1/15, 2012) in Asia Pacific and NTU-dragonventure joint Scholarships (1/10, 2011).

Dr. Fang is currently the principal investigator of the project “Quality Evaluation of Online Opinions by Leveraging Trust Theory and Machine Learning”, which supported by National Natural Science Foundation of China (NSFC). Presently she is the Associate Editor of the ECRA journal, and invited referees of other journals like JASIST, Cybernetics, KAIS, and DSS. She also severs as a Program Committee Member for international conferences, including Trust (2016-2017), IFIPTM (2014-2017), PST 2016, WWW (2014-2015), and ICWSM2014.

Selected papers

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

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

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

  4. Rethinking the Link Prediction Problem in Signed Social Network.
    Xiaoming Li, Hui Fang, and Jie Zhang.
    In Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI), 2017.

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

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