Hui Fang

About Hui Fang

Hui Fang, With an exceptional h-index of 18 and a recent h-index of 14 (since 2020), a distinguished researcher at Shanghai University of Finance and Economics, specializes in the field of Business Analytics, Trust and reputation, Recommender systems, Social network.

His recent articles reflect a diverse array of research interests and contributions to the field:

Revisiting Bundle Recommendation for Intent-aware Product Bundling

A Simple Yet Effective Approach for Diversified Session-Based Recommendation

Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach

Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks

Purpose tendency-aware diversified strategy for effective session-based recommendation

Understanding Diversity in Session-Based Recommendation

Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System

Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation

Hui Fang Information

University

Position

Associate Professor

Citations(all)

1721

Citations(since 2020)

1213

Cited By

847

hIndex(all)

18

hIndex(since 2020)

14

i10Index(all)

28

i10Index(since 2020)

17

Email

University Profile Page

Shanghai University of Finance and Economics

Google Scholar

View Google Scholar Profile

Hui Fang Skills & Research Interests

Business Analytics

Trust and reputation

Recommender systems

Social network

Top articles of Hui Fang

Title

Journal

Author(s)

Publication Date

Revisiting Bundle Recommendation for Intent-aware Product Bundling

ACM Transactions on Recommender Systems

Zhu Sun

Kaidong Feng

Jie Yang

Hui Fang

Xinghua Qu

...

2024

A Simple Yet Effective Approach for Diversified Session-Based Recommendation

arXiv preprint arXiv:2404.00261

Qing Yin

Hui Fang

Zhu Sun

Yew-Soon Ong

2024/3/30

Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach

ACM Transactions on Knowledge Discovery from Data

Wentao Hu

Hui Fang

2024/3/26

Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks

Advances in Neural Information Processing Systems

Xin Yan

Hui Fang

Qiang He

2024/2/13

Purpose tendency-aware diversified strategy for effective session-based recommendation

Electronic Commerce Research and Applications

Qing Yin

Danning Zhang

Hui Fang

Zhu Sun

2023/1/1

Understanding Diversity in Session-Based Recommendation

ACM Transactions on Information Systems

Qing Yin

Hui Fang

Zhu Sun

Yew-Soon Ong

2023/8/21

Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System

ACM Transactions on Information Systems

Yuxin Ni

Yunwen Xia

Hui Fang

Chong Long

Xinyu Kong

...

2023/8/18

Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation

arXiv preprint arXiv:2312.16262

Zhu Sun

Kaidong Feng

Jie Yang

Xinghua Qu

Hui Fang

...

2023/12/26

Improving the identification of miRNA–disease associations with multi-task learning on gene–disease networks

Briefings in Bioinformatics

Qiang He

Wei Qiao

Hui Fang

Yang Bao

2023/7

Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data

Data Mining and Knowledge Discovery

Huizi Wu

Cong Geng

Hui Fang

2023/12/26

A Blockchain-Based Scheme for Secure Data Offloading in Healthcare With Deep Reinforcement Learning

IEEE/ACM Transactions on Networking

Qiang He

Zheng Feng

Hui Fang

Xingwei Wang

Liang Zhao

...

2023/6/5

CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning

Qingtian Bian

Jiaxing Xu

Hui Fang

Yiping Ke

2023/10/21

A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation

Huizi Wu

Hui Fang

Zhu Sun

Cong Geng

Xinyu Kong

...

2023/4/3

Causality and correlation graph modeling for effective and explainable session-based recommendation

ACM Transactions on the Web

Huizi Wu

Cong Geng

Hui Fang

2023/10/11

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Zhu Sun

Hui Fang

Jie Yang

Xinghua Qu

Hongyang Liu

...

2022/12/26

Decentralized Matrix Factorization with Heterogeneous Differential Privacy

arXiv preprint arXiv:2212.00306

Wentao Hu

Hui Fang

2022/12/1

Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling

Zhu Sun

Jie Yang

Kaidong Feng

Hui Fang

Xinghua Qu

...

2022/7/6

Integrating social influence modeling and user modeling for trust prediction in signed networks

Artificial Intelligence

Hui Fang

Xiaoming Li

Jie Zhang

2022/1/1

LP-UIT: A Multimodal Framework for Link Prediction in Social Networks

Huizi Wu

Shiyi Wang

Hui Fang

2021/10/20

Dynamic opinion maximization in social networks

IEEE Transactions on Knowledge and Data Engineering

Qiang He

Hui Fang

Jie Zhang

Xingwei Wang

2021/5/4

See List of Professors in Hui Fang University(Shanghai University of Finance and Economics)

Co-Authors

H-index: 97
Nadia Magnenat Thalmann/ Nadia Thalmann

Nadia Magnenat Thalmann/ Nadia Thalmann

Université de Genève

H-index: 69
Robin Burke

Robin Burke

University of Colorado Boulder

H-index: 62
Jie Zhang

Jie Zhang

Nanyang Technological University

H-index: 57
Julita Vassileva

Julita Vassileva

University of Saskatchewan

H-index: 51
Han Yu

Han Yu

Nanyang Technological University

H-index: 30
Guibing Guo

Guibing Guo

Northeastern University, China

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