2026 Feida Zhu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	36	11249	10928	152	152	134	5643

Overview

Feida Zhu is affiliated with Singapore Management University in Singapore. Their research primarily spans the field of Computer Science, with a significant focus on several subfields including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science, and Management Science and Operations Research.

The scientist's work covers a variety of main topics, reflecting a broad interest in both theoretical and applied aspects of computing. These topics include:

Topic Modeling
Blockchain Technology Applications and Security
Privacy-Preserving Technologies in Data
Advanced Graph Neural Networks
Multimodal Machine Learning Applications
Recommender Systems and Techniques
Spam and Phishing Detection

Feida Zhu has published significantly in several venues. The most frequent publication venues are:

arXiv (Cornell University)
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the International AAAI Conference on Web and Social Media
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

The scientist frequently collaborates with a core group of researchers, including:

Wei Wei
Ling Cheng
Yong Wang
Huiwen Liu
Xian-Ling Mao

Among Feida Zhu's recent academic contributions are the following papers:

"Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System," 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
"Characterizing Silent Users in Social Media Communities," 2021, Proceedings of the International AAAI Conference on Web and Social Media
"Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning," 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
"Interoperability in Blockchain: A Survey," 2023, IEEE Transactions on Knowledge and Data Engineering
"Data pricing in machine learning pipelines," 2022, Knowledge and Information Systems

Best Publications

Finding Bursty Topics from Microblogs

Qiming Diao;Jing Jiang;Feida Zhu;Ee-Peng Lim

350
Citations
TopicSketch: Real-Time Bursty Topic Detection from Twitter

Wei Xie;Feida Zhu;Jing Jiang;Ee-Peng Lim

331
Citations
HYDRA: large-scale social identity linkage via heterogeneous behavior modeling

Siyuan Liu;Shuhui Wang;Feida Zhu;Jinbo Zhang

292
Citations
TopicSketch: Real-Time Bursty Topic Detection from Twitter

Wei Xie;Feida Zhu;Jing Jiang;Ee-Peng Lim

291
Citations
CQArank: jointly model topics and expertise in community question answering

Liu Yang;Minghui Qiu;Swapna Gottipati;Feida Zhu

262
Citations
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System

Unknown

244
Citations
Graph OLAP: Towards Online Analytical Processing on Graphs

Chen Chen;Xifeng Yan;F. Zhu;Jiawei Han

217
Citations
On recommending hashtags in twitter networks

Su Mon Kywe;Tuan-Anh Hoang;Ee-Peng Lim;Feida Zhu

211
Citations
User Identity Linkage by Latent User Space Modelling

Xin Mu;Feida Zhu;Ee-Peng Lim;Jing Xiao

168
Citations
Text Cube: Computing IR Measures for Multidimensional Text Database Analysis

C.X. Lin;Bolin Ding;Jiawei Han;Feida Zhu

164
Citations
Mining Colossal Frequent Patterns by Core Pattern Fusion

Feida Zhu;Xifeng Yan;Jiawei Han;P. S. Yu

135
Citations
gApprox: Mining Frequent Approximate Patterns from a Massive Network

Chen Chent;Xifeng Yan;Feida Zhu;Jiawei Han

130
Citations
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing

Sein Minn;Yi Yu;Michel C. Desmarais;Feida Zhu

129
Citations
A survey of recommender systems in twitter

Su Mon Kywe;Ee-Peng Lim;Feida Zhu

120
Citations
Characterizing Silent Users in Social Media Communities

Wei Gong;Ee-Peng Lim;Feida Zhu

118
Citations
gPrune: a constraint pushing framework for graph pattern mining

Feida Zhu;Xifeng Yan;Jiawei Han;Philip S. Yu

109
Citations
Graph OLAP: a multi-dimensional framework for graph data analysis

Chen Chen;Xifeng Yan;Feida Zhu;Jiawei Han

108
Citations
Mining top-K large structural patterns in a massive network

Feida Zhu;Qiang Qu;David Lo;Xifeng Yan

101
Citations
Detecting click fraud in online advertising: a data mining approach

Richard Oentaryo;Ee-Peng Lim;Michael Finegold;David Lo

95
Citations
Factored similarity models with social trust for top-N item recommendation

Guibing Guo;Jie Zhang;Feida Zhu;Xingwei Wang

82
Citations
Efficient topological OLAP on information networks

Qiang Qu;Feida Zhu;Xifeng Yan;Jiawei Han

78
Citations

Frequent Co-Authors

Ee-Peng Lim Singapore Management University

Jiawei Han University of Illinois at Urbana-Champaign

Xifeng Yan University of California, Santa Barbara

Philip S. Yu University of Illinois at Chicago

Jing Jiang Singapore Management University

David Lo Singapore Management University

Enhong Chen University of Science and Technology of China

Qi Liu University of Science and Technology of China

Ke Wang Simon Fraser University

Jian Pei Duke University

External Links

Personal website of Feida Zhu Google Scholar page

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