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ORCIDHui Fang 0002
Person information
- affiliation: Shanghai University of Finance and Economics, China
- affiliation (PhD 2014): Nanyang Technological University, Singapore
Other persons with the same name
- Hui Fang — disambiguation page
- Hui Fang 0001
![[0009-0003-1904-787X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0003-1904-787X")
— University of Delaware, USA - Hui Fang 0003 — Loughborough University, Department of Computer Science, UK (and 6 more)
- Hui Fang 0004 — University of Illinois at Urbana-Champaign, USA
- Hui Fang 0006 — Nanjing University, China
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2020 – today
- 2024
[j17]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
Understanding Diversity in Session-based Recommendation. ACM Trans. Inf. Syst. 42(1): 24:1-24:34 (2024)- [j16]Yuxin Ni, Yunwen Xia, Hui Fang, Chong Long, Xinyu Kong, Daqian Li, Dong Yang, Jie Zhang:
Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System. ACM Trans. Inf. Syst. 42(1): 28:1-28:27 (2024) - [j15]Qiang He, Zheng Feng, Hui Fang, Xing-Wei Wang, Liang Zhao, Yudong Yao, Keping Yu:
A Blockchain-Based Scheme for Secure Data Offloading in Healthcare With Deep Reinforcement Learning. IEEE/ACM Trans. Netw. 32(1): 65-80 (2024) - [j14]Huizi Wu, Cong Geng, Hui Fang:
Causality and Correlation Graph Modeling for Effective and Explainable Session-Based Recommendation. ACM Trans. Web 18(1): 2:1-2:25 (2024) - 2023
- [j13]Qiang He, Wei Qiao, Hui Fang, Yang Bao:
Improving the identification of miRNA-disease associations with multi-task learning on gene-disease networks. Briefings Bioinform. 24(4) (2023) - [j12]Qing Yin, Danning Zhang, Hui Fang, Zhu Sun:
Purpose tendency-aware diversified strategy for effective session-based recommendation. Electron. Commer. Res. Appl. 57: 101235 (2023) - [j11]Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8206-8226 (2023) - [j10]Qiang He, Hui Fang, Jie Zhang, Xingwei Wang:
Dynamic Opinion Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. 35(1): 350-361 (2023) - [c27]Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke:
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. CIKM 2023: 120-130 - [c26]Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong:
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. ICDE 2023: 1260-1272 - [i10]Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke:
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. CoRR abs/2309.04802 (2023) - [i9]Huizi Wu, Cong Geng, Hui Fang:
Session-Based Recommendation by Exploiting Substitutable and Complementary Relationships from Multi-behavior Data. CoRR abs/2312.14957 (2023) - [i8]Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu:
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR abs/2312.16262 (2023) - 2022
- [j9]Hui Fang, Xiaoming Li, Jie Zhang:
Integrating social influence modeling and user modeling for trust prediction in signed networks. Artif. Intell. 302: 103628 (2022) - [c25]Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong:
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR 2022: 2900-2911 - [i7]Huizi Wu, Shiyi Wang, Hui Fang:
LP-UIT: A Multimodal Framework for Link Prediction in Social Networks. CoRR abs/2201.10108 (2022) - [i6]Cong Geng, Huizi Wu, Hui Fang:
Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation. CoRR abs/2201.10782 (2022) - [i5]Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR abs/2206.10848 (2022) - [i4]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
Understanding Diversity in Session-Based Recommendation. CoRR abs/2208.13453 (2022) - [i3]Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong:
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. CoRR abs/2212.07030 (2022) - 2021
- [c24]Huizi Wu, Shiyi Wang, Hui Fang:
LP-UIT: A Multimodal Framework for Link Prediction in Social Networks. TrustCom 2021: 742-749 - 2020
- [j8]Hui Fang, Jie Zhang, Murat Sensoy:
A 2020 perspective on "A generalized stereotype learning approach and its instantiation in trust modeling". Electron. Commer. Res. Appl. 40: 100955 (2020) - [j7]Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo:
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations. ACM Trans. Inf. Syst. 39(1): 10:1-10:42 (2020) - [c23]Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng:
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys 2020: 23-32
2010 – 2019
- 2019
- [j6]Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. 37 (2019) - [c22]Xiaoming Li, Hui Fang, Jie Zhang:
Supervised User Ranking in Signed Social Networks. AAAI 2019: 184-191 - [c21]Hui Fang, Guibing Guo, Danning Zhang, Yiheng Shu:
Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. ICWE 2019: 574-577 - [i2]Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo:
Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. CoRR abs/1905.01997 (2019) - [i1]Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR abs/1909.12807 (2019) - 2018
- [j5]Hui Fang, Jie Zhang, Murat Sensoy:
A generalized stereotype learning approach and its instantiation in trust modeling. Electron. Commer. Res. Appl. 30: 149-158 (2018) - [c20]Xiaoming Li, Hui Fang, Jie Zhang:
FILE: A Novel Framework for Predicting Social Status in Signed Networks. AAAI 2018: 330-337 - [c19]Xiaoming Li, Hui Fang, Qing Yang, Jie Zhang:
Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship. UMAP 2018: 301-309 - 2017
- [c18]Xiaoming Li, Hui Fang, Jie Zhang:
Rethinking the Link Prediction Problem in Signed Social Networks. AAAI 2017: 4955-4956 - [c17]Xiaoming Li, Hui Fang, Jie Zhang:
A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks. ADMA 2017: 165-179 - 2015
- [j4]Hui Fang, Guibing Guo, Jie Zhang:
Multi-faceted trust and distrust prediction for recommender systems. Decis. Support Syst. 71: 37-47 (2015) - [c16]Siyuan Liu, Chunyan Miao, Yuan Liu, Hui Fang, Han Yu, Jie Zhang, Yueting Chai, Cyril Leung:
A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings. ICEC 2015: 7:1-7:8 - 2014
- [j3]Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann:
Reputation mechanism for e-commerce in virtual reality environments. Electron. Commer. Res. Appl. 13(6): 409-422 (2014) - [c15]Yang Bao, Hui Fang, Jie Zhang:
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation. AAAI 2014: 2-8 - [c14]Hui Fang, Yang Bao, Jie Zhang:
Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation. AAAI 2014: 30-36 - [c13]Yuan Liu, Siyuan Liu, Jie Zhang, Hui Fang, Han Yu, Chunyan Miao:
RepRev: Mitigating the Negative Effects of Misreported Ratings. AAAI 2014: 3124-3125 - [c12]Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann:
Subjectivity grouping: learning from users' rating behavior. AAMAS 2014: 1241-1248 - [c11]Zeinab Noorian, Mohsen Mohkami, Yuan Liu, Hui Fang, Julita Vassileva, Jie Zhang:
SocialTrust: Adaptive Trust Oriented Incentive Mechanism for Social Commerce. WI-IAT (1) 2014: 250-257 - 2013
- [j2]Kewen Wu, Julita Vassileva, Qinghua Zhu, Hui Fang, Xiaojie Tan:
Supporting group collaboration in Wiki by increasing the awareness of task conflict. Aslib Proc. 65(6): 581-604 (2013) - [j1]Hui Fang, Jie Zhang, Yang Bao, Qinghua Zhu:
Towards effective online review systems in the Chinese context: A cross-cultural empirical study. Electron. Commer. Res. Appl. 12(3): 208-220 (2013) - [c10]Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann:
A trust model stemmed from the diffusion theory for opinion evaluation. AAMAS 2013: 805-812 - [c9]Hui Fang, Yang Bao, Jie Zhang:
Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity. IJCAI 2013: 1983-1989 - 2012
- [c8]Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann:
SARC: subjectivity alignment for reputation computation. AAMAS 2012: 1365-1366 - [c7]Xin Liu, Anwitaman Datta, Hui Fang, Jie Zhang:
Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites. TrustCom 2012: 246-253 - [c6]Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann:
A Generalized Stereotypical Trust Model. TrustCom 2012: 698-705 - 2011
- [c5]Hui Fang, Qinghua Zhu, Jie Zhang:
An Empirical Analysis of the Impact of Online Reviews on Product Sales in the Chinese Context. AINA 2011: 183-190 - [c4]Lizi Zhang, Hui Fang, Wee Keong Ng, Jie Zhang:
IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation. TrustCom 2011: 266-273 - [c3]Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann:
A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment. TrustCom 2011: 312-319 - [c2]Lizi Zhang, Cheun Pin Tan, Siyi Li, Hui Fang, Pramodh Rai, Yao Chen, Rohit Luthra, Wee Keong Ng, Jie Zhang:
The Influence of Interaction Attributes on Trust in Virtual Communities. UMAP Workshops 2011: 268-279 - [c1]Hui Fang, Murat Sensoy, Jie Zhang, Nadia Magnenat-Thalmann:
Handling Subjective User Feedback for Reputation Computation in Virtual Reality. UMAP Workshops 2011: 292-303
Coauthor Index
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