Hui Fang

80 papers A* 14A 6B 8C 2Journal 47Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
MPROF: Multi-Dimensional Preference-Driven Resource Optimization Framework for Cloud-Edge-End Collaboration.
IEEE Trans. Netw.
Yang Xia, Qiang He, Hui Fang, Xingwei Wang, Yuanguo Bi, Ammar Hawbani, Keping Yu
2026 J jnl
Stop Rumors Fast: A Multiobjective Blocking Approach With Deep Reinforcement Learning in Social Networks.
IEEE Trans. Artif. Intell.
Zhen Tang, Qiang He, Runze Jiang, Zelin Zhang, Hui Fang, Xingwei Wang, Lianbo Ma
2026 J jnl
Tracing Epidemic Source of Dynamic Network Based on Graph Neural Network.
IEEE Trans. Netw.
Qiang He, Xin Yan, Hui Fang, Lu Chen, Jie Zhang
2026 J jnl
Uncertainty Rumor Blocking in Social Networks: A Graph Inverse Reinforcement Learning Approach.
IEEE Trans. Netw.
Qiang He, Zhen Tang, Runze Jiang, Zelin Zhang, Hui Fang, Xingwei Wang, Lianbo Ma, Keping Yu
2025 J jnl
A Reinforcement Learning Method to Factual and Counterfactual Explanations for Session-based Recommendation.
CoRR
Han Zhou, Hui Fang, Zhu Sun, Wentao Hu
2025 A* conf
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation.
WWW
Qingtian Bian, Marcus Vinícius de Carvalho, Tieying Li, Jiaxing Xu, Hui Fang, Yiping Ke
2025 J jnl
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation.
CoRR
Qingtian Bian, Marcus Vinícius de Carvalho, Tieying Li, Jiaxing Xu, Hui Fang, Yiping Ke
2025 J jnl
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach.
ACM Trans. Knowl. Discov. Data
Qiang He, Zelin Zhang, Tingting Bi, Hui Fang, Xiushuang Yi, Keping Yu
2025 J jnl
Blockchain-Based Edge Computing Service With Dynamic Entry and Exit Mechanism.
IEEE Trans. Mob. Comput.
Qiang He, Zheng Feng, Hui Fang, Xing-wei Wang, Liang Zhao, Keping Yu, Kim-Kwang Raymond Choo
2025 J jnl
Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?
CoRR
Kaidong Feng, Zhu Sun, Jie Yang, Hui Fang, Xinghua Qu, Wenyuan Liu
2025 A* conf
HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network.
AAAI
Qiang He, Yunting Bao, Hui Fang, Yuting Lin, Hao Sun
2025 J jnl
Integrating IoT and 6G: Applications of Edge Intelligence, Challenges, and Future Directions.
IEEE Trans. Serv. Comput.
Qiang He, Jinqiu Lin, Hui Fang, Xingwei Wang, Min Huang, Xiushuang Yi, Keping Yu
2025 A* conf
Multi-Domain Enhancement via Residual Interwoven Transfer in Cross-Domain Sequential Recommendation.
ACM Multimedia
Qingtian Bian, Tieying Li, Marcus Vinícius de Carvalho, Jiaxing Xu, Hui Fang, Yiping Ke
2025 J jnl
Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks.
IEEE Trans. Neural Networks Learn. Syst.
Qiang He, Li Zhang, Hui Fang, Xing-wei Wang, Lianbo Ma, Keping Yu, Jie Zhang
2025 J jnl
Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation.
CoRR
Kaidong Feng, Zhu Sun, Hui Fang, Jie Yang, Wenyuan Liu, Yew-Soon Ong
2024 J jnl
A Blockchain-Based Scheme for Secure Data Offloading in Healthcare With Deep Reinforcement Learning.
IEEE/ACM Trans. Netw.
Qiang He, Zheng Feng, Hui Fang, Xing-wei Wang, Liang Zhao, Yudong Yao, Keping Yu
2024 J jnl
A Simple Yet Effective Approach for Diversified Session-Based Recommendation.
CoRR
Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
2024 A* conf
Adaptive In-Context Learning with Large Language Models for Bundle Generation.
SIGIR
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2024 J jnl
Causality and Correlation Graph Modeling for Effective and Explainable Session-Based Recommendation.
ACM Trans. Web
Huizi Wu, Cong Geng, Hui Fang
2024 J jnl
Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation.
CoRR
Yunwen Xia, Hui Fang, Jie Zhang, Chong Long
2024 J jnl
Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System.
ACM Trans. Inf. Syst.
Yuxin Ni, Yunwen Xia, Hui Fang, Chong Long, Xinyu Kong, Daqian Li, Dong Yang, Jie Zhang
2024 J jnl
Revisiting Bundle Recommendation for Intent-aware Product Bundling.
Trans. Recomm. Syst.
Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu
2024 J jnl
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data.
Data Min. Knowl. Discov.
Huizi Wu, Cong Geng, Hui Fang
2024 J jnl
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach.
ACM Trans. Knowl. Discov. Data
Wentao Hu, Hui Fang
2024 J jnl
Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback.
CoRR
Hui Fang, Xu Feng, Lu Qin, Zhu Sun
2024 J jnl
Understanding Diversity in Session-based Recommendation.
ACM Trans. Inf. Syst.
Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
2023 A* conf
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation.
ICDE
Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong
2023 A conf
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning.
CIKM
Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke
2023 J jnl
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning.
CoRR
Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke
2023 J jnl
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2023 B conf
Decentralized Matrix Factorization with Heterogeneous Differential Privacy.
TrustCom
Wentao Hu, Hui Fang
2023 A* conf
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks.
NeurIPS
Xin Yan, Hui Fang, Qiang He
2023 J jnl
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation.
CoRR
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2023 J jnl
Dynamic Opinion Maximization in Social Networks.
IEEE Trans. Knowl. Data Eng.
Qiang He, Hui Fang, Jie Zhang, Xingwei Wang
2023 J jnl
Improving the identification of miRNA-disease associations with multi-task learning on gene-disease networks.
Briefings Bioinform.
Qiang He, Wei Qiao, Hui Fang, Yang Bao
2023 J jnl
Purpose tendency-aware diversified strategy for effective session-based recommendation.
Electron. Commer. Res. Appl.
Qing Yin, Danning Zhang, Hui Fang, Zhu Sun
2023 J jnl
Session-Based Recommendation by Exploiting Substitutable and Complementary Relationships from Multi-behavior Data.
CoRR
Huizi Wu, Cong Geng, Hui Fang
2023 J jnl
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach.
CoRR
Wentao Hu, Hui Fang
2022 J jnl
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation.
CoRR
Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong
2022 J jnl
Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation.
CoRR
Cong Geng, Huizi Wu, Hui Fang
2022 J jnl
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation.
CoRR
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2022 J jnl
Decentralized Matrix Factorization with Heterogeneous Differential Privacy.
CoRR
Wentao Hu, Hui Fang
2022 J jnl
Integrating social influence modeling and user modeling for trust prediction in signed networks.
Artif. Intell.
Hui Fang, Xiaoming Li, Jie Zhang
2022 J jnl
LP-UIT: A Multimodal Framework for Link Prediction in Social Networks.
CoRR
Huizi Wu, Shiyi Wang, Hui Fang
2022 A* conf
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling.
SIGIR
Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong
2022 J jnl
Understanding Diversity in Session-Based Recommendation.
CoRR
Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
2021 B conf
LP-UIT: A Multimodal Framework for Link Prediction in Social Networks.
TrustCom
Huizi Wu, Shiyi Wang, Hui Fang
2020 J jnl
A 2020 perspective on "A generalized stereotype learning approach and its instantiation in trust modeling".
Electron. Commer. Res. Appl.
Hui Fang, Jie Zhang, Murat Sensoy
2020 A conf
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison.
RecSys
Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng
2020 J jnl
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations.
ACM Trans. Inf. Syst.
Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo
2019 B conf
Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations.
ICWE
Hui Fang, Guibing Guo, Danning Zhang, Yiheng Shu
2019 J jnl
Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations.
CoRR
Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo
2019 J jnl
Research Commentary on Recommendations with Side Information: A Survey and Research Directions.
CoRR
Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
2019 J jnl
Research commentary on recommendations with side information: A survey and research directions.
Electron. Commer. Res. Appl.
Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
2019 A* conf
Supervised User Ranking in Signed Social Networks.
AAAI
Xiaoming Li, Hui Fang, Jie Zhang
2018 J jnl
A generalized stereotype learning approach and its instantiation in trust modeling.
Electron. Commer. Res. Appl.
Hui Fang, Jie Zhang, Murat Sensoy
2018 A* conf
FILE: A Novel Framework for Predicting Social Status in Signed Networks.
AAAI
Xiaoming Li, Hui Fang, Jie Zhang
2018 A conf
Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship.
UMAP
Xiaoming Li, Hui Fang, Qing Yang, Jie Zhang
2017 C conf
A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks.
ADMA
Xiaoming Li, Hui Fang, Jie Zhang
2017 A* conf
Rethinking the Link Prediction Problem in Signed Social Networks.
AAAI
Xiaoming Li, Hui Fang, Jie Zhang
2015 C conf
A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings.
ICEC
Siyuan Liu, Chunyan Miao, Yuan Liu, Hui Fang, Han Yu, Jie Zhang, Yueting Chai, Cyril Leung
2015 J jnl
Multi-faceted trust and distrust prediction for recommender systems.
Decis. Support Syst.
Hui Fang, Guibing Guo, Jie Zhang
2014 A* conf
Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation.
AAAI
Hui Fang, Yang Bao, Jie Zhang
2014 A* conf
RepRev: Mitigating the Negative Effects of Misreported Ratings.
AAAI
Yuan Liu, Siyuan Liu, Jie Zhang, Hui Fang, Han Yu, Chunyan Miao
2014 J jnl
Reputation mechanism for e-commerce in virtual reality environments.
Electron. Commer. Res. Appl.
Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann
2014 — conf
SocialTrust: Adaptive Trust Oriented Incentive Mechanism for Social Commerce.
WI-IAT (1)
Zeinab Noorian, Mohsen Mohkami, Yuan Liu, Hui Fang, Julita Vassileva, Jie Zhang
2014 A conf
Subjectivity grouping: learning from users' rating behavior.
AAMAS
Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann
2014 A* conf
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation.
AAAI
Yang Bao, Hui Fang, Jie Zhang
2013 A conf
A trust model stemmed from the diffusion theory for opinion evaluation.
AAMAS
Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann
2013 A* conf
Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity.
IJCAI
Hui Fang, Yang Bao, Jie Zhang
2013 J jnl
Supporting group collaboration in Wiki by increasing the awareness of task conflict.
Aslib Proc.
Kewen Wu, Julita Vassileva, Qinghua Zhu, Hui Fang, Xiaojie Tan
2013 J jnl
Towards effective online review systems in the Chinese context: A cross-cultural empirical study.
Electron. Commer. Res. Appl.
Hui Fang, Jie Zhang, Yang Bao, Qinghua Zhu
2012 B conf
A Generalized Stereotypical Trust Model.
TrustCom
Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann
2012 B conf
Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites.
TrustCom
Xin Liu, Anwitaman Datta, Hui Fang, Jie Zhang
2012 A conf
SARC: subjectivity alignment for reputation computation.
AAMAS
Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann
2011 B conf
A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment.
TrustCom
Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann
2011 B conf
An Empirical Analysis of the Impact of Online Reviews on Product Sales in the Chinese Context.
AINA
Hui Fang, Qinghua Zhu, Jie Zhang
2011 — conf
Handling Subjective User Feedback for Reputation Computation in Virtual Reality.
UMAP Workshops
Hui Fang, Murat Sensoy, Jie Zhang, Nadia Magnenat-Thalmann
2011 B conf
IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation.
TrustCom
Lizi Zhang, Hui Fang, Wee Keong Ng, Jie Zhang
2011 — conf
The Influence of Interaction Attributes on Trust in Virtual Communities.
UMAP Workshops
Lizi Zhang, Cheun Pin Tan, Siyi Li, Hui Fang, Pramodh Rai, Yao Chen, Rohit Luthra, Wee Keong Ng, Jie Zhang