An Empirical Analysis of the Impact of Online Reviews on Product Sales in the Chinese Context. - Hui Fang 002; Qinghua Zhu 002; Jie Zhang 002 (AINA, 2011)

A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment. - Hui Fang 002; Jie Zhang 002; Murat Sensoy; Nadia Magnenat-Thalmann (TrustCom, 2011)

IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation. - Lizi Zhang; Hui Fang 002; Wee Keong Ng; Jie Zhang 002 (TrustCom, 2011)

Handling Subjective User Feedback for Reputation Computation in Virtual Reality. - Hui Fang 002; Murat Sensoy; Jie Zhang 002; Nadia Magnenat-Thalmann (UMAP Workshops, 2011)

The Influence of Interaction Attributes on Trust in Virtual Communities. - Lizi Zhang; Cheun Pin Tan; Siyi Li; Hui Fang 002; Pramodh Rai; Yao Chen; Rohit Luthra; Wee Keong Ng; Jie Zhang 002 (UMAP Workshops, 2011)

SARC: subjectivity alignment for reputation computation. - Hui Fang 002; Jie Zhang 002; Murat Sensoy; Nadia Magnenat-Thalmann (AAMAS, 2012)

A Generalized Stereotypical Trust Model. - Hui Fang 002; Jie Zhang 002; Murat Sensoy; Nadia Magnenat-Thalmann (TrustCom, 2012)

Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites. - Xin Liu 027; Anwitaman Datta; Hui Fang 002; Jie Zhang 002 (TrustCom, 2012)

A trust model stemmed from the diffusion theory for opinion evaluation. - Hui Fang 002; Jie Zhang 002; Nadia Magnenat-Thalmann (AAMAS, 2013)

Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity. - Hui Fang 002; Yang Bao 001; Jie Zhang 002 (IJCAI, 2013)

Supporting group collaboration in Wiki by increasing the awareness of task conflict. - Kewen Wu 002; Julita Vassileva; Qinghua Zhu 002; Hui Fang 002; Xiaojie Tan (Aslib Proc., 2013)

Towards effective online review systems in the Chinese context: A cross-cultural empirical study. - Hui Fang 002; Jie Zhang 002; Yang Bao 001; Qinghua Zhu 002 (Electron. Commer. Res. Appl., 2013)

TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation. - Yang Bao 001; Hui Fang 002; Jie Zhang 002 (AAAI, 2014)

Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation. - Hui Fang 002; Yang Bao 001; Jie Zhang 002 (AAAI, 2014)

RepRev: Mitigating the Negative Effects of Misreported Ratings. - Yuan Liu 002; Siyuan Liu 003; Jie Zhang 002; Hui Fang 002; Han Yu 001; Chunyan Miao (AAAI, 2014)

Subjectivity grouping: learning from users' rating behavior. - Hui Fang 002; Jie Zhang 002; Nadia Magnenat-Thalmann (AAMAS, 2014)

SocialTrust: Adaptive Trust Oriented Incentive Mechanism for Social Commerce. - Zeinab Noorian; Mohsen Mohkami; Yuan Liu 002; Hui Fang 002; Julita Vassileva; Jie Zhang 002 (WI-IAT (1), 2014)

Reputation mechanism for e-commerce in virtual reality environments. - Hui Fang 002; Jie Zhang 002; Murat Sensoy; Nadia Magnenat-Thalmann (Electron. Commer. Res. Appl., 2014)

A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings. - Siyuan Liu 003; Chunyan Miao; Yuan Liu 002; Hui Fang 002; Han Yu 001; Jie Zhang 002; Yueting Chai; Cyril Leung (ICEC, 2015)

Multi-faceted trust and distrust prediction for recommender systems. - Hui Fang 002; Guibing Guo; Jie Zhang 002 (Decis. Support Syst., 2015)

Rethinking the Link Prediction Problem in Signed Social Networks. - Xiaoming Li 003; Hui Fang 002; Jie Zhang 002 (AAAI, 2017)

A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks. - Xiaoming Li 003; Hui Fang 002; Jie Zhang 002 (ADMA, 2017)

FILE: A Novel Framework for Predicting Social Status in Signed Networks. - Xiaoming Li 003; Hui Fang 002; Jie Zhang 002 (AAAI, 2018)

Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship. - Xiaoming Li 003; Hui Fang 002; Qing Yang 003; Jie Zhang 002 (UMAP, 2018)

A generalized stereotype learning approach and its instantiation in trust modeling. - Hui Fang 002; Jie Zhang 002; Murat Sensoy (Electron. Commer. Res. Appl., 2018)

Supervised User Ranking in Signed Social Networks. - Xiaoming Li 003; Hui Fang 002; Jie Zhang 002 (AAAI, 2019)

Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. - Hui Fang 002; Guibing Guo; Danning Zhang; Yiheng Shu (ICWE, 2019)

Research commentary on recommendations with side information: A survey and research directions. - Zhu Sun 001; Qing Guo 005; Jie Yang 028; Hui Fang 002; Guibing Guo; Jie Zhang 002; Robin Burke (Electron. Commer. Res. Appl., 2019)

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. - Zhu Sun 001; Di Yu 001; Hui Fang 002; Jie Yang 028; Xinghua Qu; Jie Zhang 002; Cong Geng (RecSys, 2020)

A 2020 perspective on "A generalized stereotype learning approach and its instantiation in trust modeling". - Hui Fang 002; Jie Zhang 002; Murat Sensoy (Electron. Commer. Res. Appl., 2020)

Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations. - Hui Fang 002; Danning Zhang; Yiheng Shu; Guibing Guo (ACM Trans. Inf. Syst., 2020)

LP-UIT: A Multimodal Framework for Link Prediction in Social Networks. - Huizi Wu; Shiyi Wang; Hui Fang 002 (TrustCom, 2021)

Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. - Zhu Sun 001; Jie Yang 028; Kaidong Feng; Hui Fang 002; Xinghua Qu; Yew Soon Ong (SIGIR, 2022)

Integrating social influence modeling and user modeling for trust prediction in signed networks. - Hui Fang 002; Xiaoming Li 003; Jie Zhang 002 (Artif. Intell., 2022)

CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. - Qingtian Bian; Jiaxing Xu; Hui Fang 002; Yiping Ke (CIKM, 2023)

A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. - Huizi Wu; Hui Fang 002; Zhu Sun 001; Cong Geng; Xinyu Kong; Yew-Soon Ong (ICDE, 2023)

Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks. - Xin Yan; Hui Fang 002; Qiang He 002 (NeurIPS, 2023)

Decentralized Matrix Factorization with Heterogeneous Differential Privacy. - Wentao Hu; Hui Fang 002 (TrustCom, 2023)

Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. - Zhu Sun 001; Kaidong Feng; Jie Yang 028; Xinghua Qu; Hui Fang 002; Yew-Soon Ong; Wenyuan Liu (CoRR, 2023)

Dynamic Opinion Maximization in Social Networks. - Qiang He 002; Hui Fang 002; Jie Zhang 002; Xingwei Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Purpose tendency-aware diversified strategy for effective session-based recommendation. - Qing Yin; Danning Zhang; Hui Fang 002; Zhu Sun 001 (Electron. Commer. Res. Appl., 2023)

Improving the identification of miRNA-disease associations with multi-task learning on gene-disease networks. - Qiang He 002; Wei Qiao; Hui Fang 002; Yang Bao 001 (Briefings Bioinform., 2023)

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. - Zhu Sun 001; Hui Fang 002; Jie Yang 028; Xinghua Qu; Hongyang Liu; Di Yu 001; Yew-Soon Ong; Jie Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Adaptive In-Context Learning with Large Language Models for Bundle Generation. - Zhu Sun 001; Kaidong Feng; Jie Yang 028; Xinghua Qu; Hui Fang 002; Yew-Soon Ong; Wenyuan Liu (SIGIR, 2024)

A Simple Yet Effective Approach for Diversified Session-Based Recommendation. - Qing Yin; Hui Fang 002; Zhu Sun 001; Yew-Soon Ong (CoRR, 2024)

Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation. - Yunwen Xia; Hui Fang 002; Jie Zhang 002; Chong Long (CoRR, 2024)

Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback. - Hui Fang 002; Xu Feng; Lu Qin 009; Zhu Sun 001 (CoRR, 2024)

Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System. - Yuxin Ni; Yunwen Xia; Hui Fang 002; Chong Long; Xinyu Kong; Daqian Li; Dong Yang; Jie Zhang 002 (ACM Trans. Inf. Syst., 2024)

Understanding Diversity in Session-based Recommendation. - Qing Yin; Hui Fang 002; Zhu Sun 001; Yew-Soon Ong (ACM Trans. Inf. Syst., 2024)

A Blockchain-Based Scheme for Secure Data Offloading in Healthcare With Deep Reinforcement Learning. - Qiang He 002; Zheng Feng; Hui Fang 002; Xing-Wei Wang 001; Liang Zhao 004; Yudong Yao; Keping Yu (IEEE/ACM Trans. Netw., 2024)

Causality and Correlation Graph Modeling for Effective and Explainable Session-Based Recommendation. - Huizi Wu; Cong Geng; Hui Fang 002 (ACM Trans. Web, 2024)

Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data. - Huizi Wu; Cong Geng; Hui Fang 002 (Data Min. Knowl. Discov., 2024)

Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach. - Wentao Hu; Hui Fang 002 (ACM Trans. Knowl. Discov. Data, 2024)

Revisiting Bundle Recommendation for Intent-aware Product Bundling. - Zhu Sun 001; Kaidong Feng; Jie Yang 028; Hui Fang 002; Xinghua Qu; Yew-Soon Ong; Wenyuan Liu (Trans. Recomm. Syst., 2024)

HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network. - Qiang He 002; Yunting Bao; Hui Fang 002; Yuting Lin; Hao Sun (AAAI, 2025)

ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation. - Qingtian Bian; Marcus Vinícius de Carvalho; Tieying Li; Jiaxing Xu; Hui Fang 002; Yiping Ke (WWW, 2025)

Integrating IoT and 6G: Applications of Edge Intelligence, Challenges, and Future Directions. - Qiang He 002; Jinqiu Lin; Hui Fang 002; Xingwei Wang 001; Min Huang 001; Xiushuang Yi; Keping Yu (IEEE Trans. Serv. Comput., 2025)

Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach. - Qiang He 002; Zelin Zhang; Tingting Bi; Hui Fang 002; Xiushuang Yi; Keping Yu (ACM Trans. Knowl. Discov. Data, 2025)

A Reinforcement Learning Method to Factual and Counterfactual Explanations for Session-based Recommendation. - Han Zhou; Hui Fang 002; Zhu Sun 001; Wentao Hu (CoRR, 2025)

Does Knowledge Distillation Matter for Large Language Model based Bundle Generation? - Kaidong Feng; Zhu Sun 001; Jie Yang 028; Hui Fang 002; Xinghua Qu; Wenyuan Liu (CoRR, 2025)

Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks. - Qiang He 002; Li Zhang; Hui Fang 002; Xing-wei Wang 001; Lianbo Ma; Keping Yu; Jie Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)