| Topicmf: Simultaneously exploiting ratings and reviews for recommendation Y Bao, H Fang, J Zhang Twenty-Eighth AAAI conference on artificial intelligence, 2014 | 298 | 2014 |
| Leveraging decomposed trust in probabilistic matrix factorization for effective recommendation H Fang, Y Bao, J Zhang AAAI 2014, 2014 | 102 | 2014 |
| Towards effective online review systems in the Chinese context: A cross-cultural empirical study H Fang, J Zhang, Y Bao, Q Zhu Electronic Commerce Research and Applications 12 (3), 208-220, 2013 | 99 | 2013 |
| Multi-faceted trust and distrust prediction for recommender systems H Fang, G Guo, J Zhang Decision Support Systems 71, 37-47, 2015 | 83 | 2015 |
| Research commentary on recommendations with side information: A survey and research directions Z Sun, Q Guo, J Yang, H Fang, G Guo, J Zhang, R Burke Electronic Commerce Research and Applications 37, 100879, 2019 | 75 | 2019 |
| Deep learning for sequential recommendation: Algorithms, influential factors, and evaluations H Fang, D Zhang, Y Shu, G Guo ACM Transactions on Information Systems (TOIS) 39 (1), 1-42, 2020 | 60 | 2020 |
| Are we evaluating rigorously? benchmarking recommendation for reproducible evaluation and fair comparison Z Sun, D Yu, H Fang, J Yang, X Qu, J Zhang, C Geng Fourteenth ACM Conference on Recommender Systems, 23-32, 2020 | 39 | 2020 |
| Intrank: Interaction ranking-based trustworthy friend recommendation L Zhang, H Fang, WK Ng, J Zhang 2011IEEE 10th International Conference on Trust, Security and Privacy in …, 2011 | 34 | 2011 |
| Reputation mechanism for e-commerce in virtual reality environments H Fang, J Zhang, M Şensoy, N Magnenat-Thalmann Electronic Commerce Research and Applications 13 (6), 409-422, 2014 | 31 | 2014 |
| A generalized stereotypical trust model H Fang, J Zhang, M Sensoy, NM Thalmann 2012 IEEE 11th International Conference on Trust, Security and Privacy in …, 2012 | 31 | 2012 |
| A trust model stemmed from the diffusion theory for opinion evaluation H Fang, J Zhang, NM Thalmann Proceedings of the 2013 international conference on autonomous agents and …, 2013 | 30 | 2013 |
| SARC: subjectivity alignment for reputation computation. H Fang, J Zhang, M Sensoy, N Magnenat-Thalmann AAMAS, 1365-1366, 2012 | 28 | 2012 |
| Deep learning-based sequential recommender systems: Concepts, algorithms, and evaluations H Fang, G Guo, D Zhang, Y Shu International Conference on Web Engineering, 574-577, 2019 | 27 | 2019 |
| Subjectivity grouping: Learning from users' rating behavior H Fang, J Zhang, N Magnenat Thalmann Proceedings of the 2014 international conference on autonomous agents and …, 2014 | 21 | 2014 |
| Misleading opinions provided by advisors: Dishonesty or subjectivity H Fang, Y Bao, J Zhang Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 19 | 2013 |
| The influence of interaction attributes on trust in virtual communities L Zhang, CP Tan, S Li, H Fang, P Rai, Y Chen, R Luthra, WK Ng, J Zhang International Conference on User Modeling, Adaptation, and Personalization …, 2011 | 19 | 2011 |
| Rethinking the Link Prediction Problem in Signed Social Networks X Li, H Fang, J Zhang The Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017 | 17 | 2017 |
| Who is Your Best Friend? Ranking Social Network Friends According to Trust Relationship X Li, H Fang, Q Yang, J Zhang Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018 | 13 | 2018 |
| FILE: A Novel Framework for Predicting Social Status in Signed Networks X Li, H Fang, J Zhang Thirty-Second AAAI Conference on Artificial Intelligence (AAAI2018), 330-337, 2018 | 12 | 2018 |
| Reprev: Mitigating the negative effects of misreported ratings Y Liu, S Liu, J Zhang, H Fang, H Yu, C Miao Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 12 | 2014 |
Jie ZhangAssociate Professor, Computer Science and Engineering, NTU, SingaporeVerified email at ntu.edu.sg
