World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
14149
World Ranking
3248
National Ranking
437

Overview

Hong Cheng is a researcher affiliated with the Chinese University of Hong Kong in China, focusing primarily on the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Information Systems, and Signal Processing.

The scientist's research covers key topics such as Advanced Graph Neural Networks, Complex Network Analysis Techniques, Topic Modeling, Graph Theory and Algorithms, Data Management and Algorithms, Recommender Systems and Techniques, and Natural Language Processing Techniques.

Hong Cheng's recent publications include the following papers:

  • A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers, 2024, ACM Computing Surveys
  • Self-Supervised Hypergraph Representation Learning for Sociological Analysis, 2023, IEEE Transactions on Knowledge and Data Engineering
  • Query driven-graph neural networks for community search, 2022, Proceedings of the VLDB Endowment
  • AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models, 2023, IEEE Transactions on Knowledge and Data Engineering
  • Computing Graph Edit Distance via Neural Graph Matching, 2023, Proceedings of the VLDB Endowment

Hong Cheng frequently collaborates with a number of co-authors including Yu Rong, Xiangguo Sun, Kangfei Zhao, Chengzhi Piao, and Zijin Feng. These collaborations have contributed to several joint publications across multiple venues.

The preferred publication venues for Hong Cheng cover both journal and conference proceedings. The most frequent venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • PubMed

In addition to journal and conference papers, Hong Cheng has contributed to book publications with Springer Science+Business Media. Notably, they co-authored the book titled "Advances in Knowledge Discovery and Data Mining" published in 2021, which appeared in two editions with citation counts of 51 and 9 respectively.

Best Publications

  • Frequent pattern mining: current status and future directions

    Jiawei Han;Hong Cheng;Dong Xin;Xifeng Yan

  • Graph clustering based on structural/attribute similarities

    Yang Zhou;Hong Cheng;Jeffrey Xu Yu

  • RankClus: integrating clustering with ranking for heterogeneous information network analysis

    Yizhou Sun;Jiawei Han;Peixiang Zhao;Zhijun Yin

  • Querying k-truss community in large and dynamic graphs

    Xin Huang;Hong Cheng;Lu Qin;Wentao Tian

  • Discriminative Frequent Pattern Analysis for Effective Classification

    Hong Cheng;Xifeng Yan;Jiawei Han;Chih-Wei Hsu

  • A model-based approach to attributed graph clustering

    Zhiqiang Xu;Yiping Ke;Yi Wang;Hong Cheng

  • Mining significant graph patterns by leap search

    Xifeng Yan;Hong Cheng;Jiawei Han;Philip S. Yu

  • IncSpan: incremental mining of sequential patterns in large database

    Hong Cheng;Xifeng Yan;Jiawei Han

  • Mining compressed frequent-pattern sets

    Dong Xin;Jiawei Han;Xifeng Yan;Hong Cheng

  • Direct Discriminative Pattern Mining for Effective Classification

    Hong Cheng;Xifeng Yan;Jiawei Han;P.S. Yu

  • Summarizing itemset patterns: a profile-based approach

    Xifeng Yan;Hong Cheng;Jiawei Han;Dong Xin

  • What's Your Next Move: User Activity Prediction in Location-based Social Networks.

    Hong Cheng;Jihang Ye;Zhe Zhu

  • Classification of software behaviors for failure detection: a discriminative pattern mining approach

    David Lo;Hong Cheng;Jiawei Han;Siau-Cheng Khoo

  • Clustering Large Attributed Graphs: An Efficient Incremental Approach

    Yang Zhou;Hong Cheng;Jeffrey Xu Yu

  • Jet energy scale and resolution measured in proton-proton collisions at s =13 TeV with the ATLAS detector

    G. Aad;B. Abbott;D. C. Abbott;A. Abed Abud

  • Approximate closest community search in networks

    Xin Huang;Laks V. S. Lakshmanan;Jeffrey Xu Yu;Hong Cheng

  • Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities

    Hong Cheng;Yang Zhou;Jeffrey Xu Yu

  • Sparsity induced similarity measure for label propagation

    Hong Cheng;Zicheng Liu;Jie Yang

  • Identifying bug signatures using discriminative graph mining

    Hong Cheng;David Lo;Yang Zhou;Xiaoyin Wang

  • Extracting redundancy-aware top-k patterns

    Dong Xin;Hong Cheng;Xifeng Yan;Jiawei Han

Frequent Co-Authors

Bobby Samir Acharya
Bobby Samir Acharya King's College London
Tord Ekelof
Tord Ekelof Uppsala University
Mattias Ellert
Mattias Ellert Uppsala University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Aspiring computer science students in the USA often explore a variety of related online degrees that open doors to diverse career pathways. Fields like mechanical engineering, data science, physics, and electrical engineering increasingly offer online study options, making advanced education more flexible and accessible.

If you're interested in engineering, consider looking for the cheapest online master's mechanical engineering programs to boost your credentials without breaking the bank. Many learners also wonder, can you get a physics degree online? The answer is yes—remote physics programs are now available from accredited universities.

For tech-forward roles, data science is a top pick. You can find the cheapest master in data science programs online, focusing on analytics, machine learning, and big data. Electrical engineering is another in-demand field: consult an online electrical engineering degree ranking to identify leading programs that match your career ambitions.

These online degree options make it easier than ever to expand your expertise and enter high-growth STEM careers—all from the comfort of home.

Best Scientists Citing Hong Cheng

Trending Scientists

Recently Published Articles