Hui Fang

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Jie ZhangProfessor of Computer Science and Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Nadia Magnenat Thalmann/ Nadia Th...University of GenevaVerified email at miralab.ch
ZHU SUNNanyang Technological University, SingaporeVerified email at mq.edu.au
Murat SensoyDepartment of Computer Science, University College LondonVerified email at ucl.ac.uk
Yang BAOAntai College of Economics and Management, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Guibing GuoProfessor, Software College, Northeastern University, ChinaVerified email at swc.neu.edu.cn
Jie YangAssistant Professor, Delft University of TechnologyVerified email at tudelft.nl
Xinghua QuNanyang Technological University, SingaporeVerified email at ntu.edu.sg
Qiang HeNortheastern universityVerified email at stumail.neu.edu.cn
Robin BurkeUniversity of Colorado, BoulderVerified email at colorado.edu
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief ScientistVerified email at ntu.edu.sg
Aston ZhangGenAI, MetaVerified email at meta.com
Julita VassilevaComputer Science Department, University of SaskatchewanVerified email at cs.usask.ca
Han YuNanyang Assistant Professor, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
zeinab noorianPhD, Ryerson UniversityVerified email at ryerson.ca
Hailiang HuangShanghai University of Finance & EconomicsVerified email at sufe.edu.cn
Gujie LIUniversity of Maryland, College ParkVerified email at rhsmith.umd.edu
Yuan LiuProfessor of Cyberspace Institute of Advanced Technology, Guangzhou University
Xin Liu

Hui Fang

Associate Professor, Shanghai University of Finance and Economics

Verified email at mail.shufe.edu.cn - Homepage

Business Analytics Trust and reputation Recommender systems Social network


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Topicmf: Simultaneously exploiting ratings and reviews for recommendation Y Bao, H Fang, J Zhang Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	341	2014
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	176	2020
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	156	2019
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 Proceedings of the 14th ACM Conference on Recommender Systems, 23-32, 2020	129	2020
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	120	2013
Leveraging decomposed trust in probabilistic matrix factorization for effective recommendation H Fang, Y Bao, J Zhang AAAI 2014, 2014	118	2014
Multi-faceted trust and distrust prediction for recommender systems H Fang, G Guo, J Zhang Decision Support Systems 71, 37-47, 2015	92	2015
Deep learning-based sequential recommender systems: Concepts, algorithms, and evaluations H Fang, G Guo, D Zhang, Y Shu Web Engineering: 19th International Conference, ICWE 2019, Daejeon, South …, 2019	50	2019
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	44	2014
Dynamic opinion maximization in social networks Q He, H Fang, J Zhang, X Wang IEEE Transactions on Knowledge and Data Engineering 35 (1), 350-361, 2021	32	2021
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	32	2013
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	32	2011
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
SARC: subjectivity alignment for reputation computation. H Fang, J Zhang, M Sensoy, N Magnenat-Thalmann AAMAS, 1365-1366, 2012	26	2012
A Blockchain-Based Scheme for Secure Data Offloading in Healthcare With Deep Reinforcement Learning Q He, Z Feng, H Fang, X Wang, L Zhao, Y Yao, K Yu IEEE/ACM Transactions on Networking, 2023	24	2023
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	22	2017
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 Advances in User Modeling: UMAP 2011 Workshops, Girona, Spain, July 11-15 …, 2012	18	2012
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	14	2018

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