Hui Fang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 40

Top Topics

Social Networks

Virtual Reality Environments

Top Venues

Electron. Commer. Res. Appl.

ACM Trans. Inf. Syst.

Publications

Huizi Wu, Cong Geng, Hui Fang
Causality and Correlation Graph Modeling for Effective and Explainable Session-Based Recommendation. ACM Trans. Web 18 (1) (2024)
Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
A Simple Yet Effective Approach for Diversified Session-Based Recommendation. CoRR (2024)
Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
Understanding Diversity in Session-based Recommendation. ACM Trans. Inf. Syst. 42 (1) (2024)
Huizi Wu, Cong Geng, Hui Fang
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data. Data Min. Knowl. Discov. 38 (3) (2024)
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) (2024)
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
Adaptive In-Context Learning with Large Language Models for Bundle Generation. SIGIR (2024)
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) (2024)
Wentao Hu, Hui Fang
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu
Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. 2 (3) (2024)
Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. CoRR (2023)
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 (2023)
Huizi Wu, Cong Geng, Hui Fang
Session-Based Recommendation by Exploiting Substitutable and Complementary Relationships from Multi-behavior Data. CoRR (2023)
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) (2023)
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)
Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. CIKM (2023)
Wentao Hu, Hui Fang
Decentralized Matrix Factorization with Heterogeneous Differential Privacy. TrustCom (2023)
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)
Qing Yin, Danning Zhang, Hui Fang, Zhu Sun
Purpose tendency-aware diversified strategy for effective session-based recommendation. Electron. Commer. Res. Appl. 57 (2023)
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 (2022)
Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
Understanding Diversity in Session-Based Recommendation. CoRR (2022)
Hui Fang, Xiaoming Li, Jie Zhang
Integrating social influence modeling and user modeling for trust prediction in signed networks. Artif. Intell. 302 (2022)
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 (2022)
Cong Geng, Huizi Wu, Hui Fang
Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation. CoRR (2022)
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)
Huizi Wu, Shiyi Wang, Hui Fang
LP-UIT: A Multimodal Framework for Link Prediction in Social Networks. TrustCom (2021)
Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations. ACM Trans. Inf. Syst. 39 (1) (2020)
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)
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 (2020)
Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo
Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. CoRR (2019)
Xiaoming Li, Hui Fang, Jie Zhang
Supervised User Ranking in Signed Social Networks. AAAI (2019)
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)
Hui Fang, Guibing Guo, Danning Zhang, Yiheng Shu
Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. ICWE (2019)
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 (2019)
Xiaoming Li, Hui Fang, Qing Yang, Jie Zhang
Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship. UMAP (2018)
Xiaoming Li, Hui Fang, Jie Zhang
FILE: A Novel Framework for Predicting Social Status in Signed Networks. AAAI (2018)
Hui Fang, Jie Zhang, Murat Sensoy
A generalized stereotype learning approach and its instantiation in trust modeling. Electron. Commer. Res. Appl. 30 (2018)
Xiaoming Li, Hui Fang, Jie Zhang
A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks. ADMA (2017)
Xiaoming Li, Hui Fang, Jie Zhang
Rethinking the Link Prediction Problem in Signed Social Networks. AAAI (2017)
Hui Fang, Guibing Guo, Jie Zhang
Multi-faceted trust and distrust prediction for recommender systems. Decis. Support Syst. 71 (2015)
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)
Yang Bao, Hui Fang, Jie Zhang
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation. AAAI (2014)
Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann
Subjectivity grouping: learning from users' rating behavior. AAMAS (2014)
Yuan Liu, Siyuan Liu, Jie Zhang, Hui Fang, Han Yu, Chunyan Miao
RepRev: Mitigating the Negative Effects of Misreported Ratings. AAAI (2014)
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)
Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann
Reputation mechanism for e-commerce in virtual reality environments. Electron. Commer. Res. Appl. 13 (6) (2014)
Hui Fang, Yang Bao, Jie Zhang
Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation. AAAI (2014)
Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann
A trust model stemmed from the diffusion theory for opinion evaluation. AAMAS (2013)
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) (2013)
Hui Fang, Yang Bao, Jie Zhang
Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity. IJCAI (2013)
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) (2013)
Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann
A Generalized Stereotypical Trust Model. TrustCom (2012)
Xin Liu, Anwitaman Datta, Hui Fang, Jie Zhang
Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites. TrustCom (2012)
Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann
SARC: subjectivity alignment for reputation computation. AAMAS (2012)
Hui Fang, Murat Sensoy, Jie Zhang, Nadia Magnenat-Thalmann
Handling Subjective User Feedback for Reputation Computation in Virtual Reality. UMAP Workshops (2011)
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)
Hui Fang, Qinghua Zhu, Jie Zhang
An Empirical Analysis of the Impact of Online Reviews on Product Sales in the Chinese Context. AINA (2011)
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)
Lizi Zhang, Hui Fang, Wee Keong Ng, Jie Zhang
IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation. TrustCom (2011)