World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
9591
World Ranking
6453
National Ranking
860

Overview

Ben Kao is affiliated with the University of Hong Kong in China and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields. Their work covers a variety of topics, including topic modeling, natural language processing techniques, advanced graph neural networks, and applications of artificial intelligence in law.

The scientist's main fields of study include:

  • Computer Science

Within computer science, their research spans subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Political Science and International Relations
  • Computer Networks and Communications
  • Information Systems

Their research topics are diverse and focus on:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Artificial Intelligence in Law
  • Data Quality and Management
  • Speech and dialogue systems
  • Intelligent Tutoring Systems and Adaptive Learning

Ben Kao has published in numerous venues, with frequent appearances in:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the VLDB Endowment
  • Information Sciences
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Notable recent papers include:

  • "SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks," 2020, IEEE Transactions on Knowledge and Data Engineering
  • "Distributed PageRank computation with improved round complexities," 2022, Information Sciences
  • "Automatic Meta-Path Discovery for Effective Graph-Based Recommendation," 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • "ZeroEA: A Zero-Training Entity Alignment Framework via Pre-Trained Language Model," 2024, Proceedings of the VLDB Endowment
  • "Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT," 2020, arXiv (Cornell University)

Frequent collaborators accompanying Ben Kao's research efforts include:

  • Tien-Hsuan Wu
  • Reynold Cheng
  • Yongxi Chen
  • Guowen Yuan
  • Deliang Wang

The scope of Ben Kao's research reflects a broad engagement with computational methods applicable to intelligent systems, data analysis, and machine learning techniques across both theoretical and applied dimensions.

Best Publications

  • Secure kNN computation on encrypted databases

    Wai Kit Wong;David Wai-lok Cheung;Ben Kao;Nikos Mamoulis

  • A General Incremental Technique for Maintaining Discovered Association Rules

    David Wai-Lok Cheung;Sau Dan Lee;Ben Kao

  • Mining frequent itemsets from uncertain data

    Chun-Kit Chui;Ben Kao;Edward Hung

  • Decision Trees for Uncertain Data

    Smith Tsang;Ben Kao;Kevin Y Yip;Wai-Shing Ho

  • Indexing multi-dimensional uncertain data with arbitrary probability density functions

    Yufei Tao;Reynold Cheng;Xiaokui Xiao;Wang Kay Ngai

  • An overview of real-time database systems

    Ben Kao;Ben Kao;Héctor García-Molina

  • Efficient Clustering of Uncertain Data

    Wang Ngai;Ben Kao;Chun Chui;Reynold Cheng

  • Deadline assignment in a distributed soft real-time system

    H. Kao;H. Garcia-Molina

  • Uncertain data mining: an example in clustering location data

    Michael Chau;Reynold Cheng;Ben Kao;Jackey Ng

  • Naive Bayes Classification of Uncertain Data

    Jiangtao Ren;Sau Dan Lee;Xianlu Chen;Ben Kao

  • Deadline assignment in a distributed soft real-time system

    B. Kao;H. Garcia-Molina

  • Applying update streams in a soft real-time database system

    B. Adelberg;H. Garcia-Molina;B. Kao

  • Mining periodic patterns with gap requirement from sequences

    Minghua Zhang;Ben Kao;David W. Cheung;Kevin Y. Yip

  • Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT

    Zhiyong Wu;Yun Chen;Ben Kao;Qun Liu

  • A decremental approach for mining frequent itemsets from uncertain data

    Chun-Kit Chui;Ben Kao

  • Security in outsourcing of association rule mining

    W. K. Wong;David W. Cheung;Edward Hung;Ben Kao

  • On querying historical evolving graph sequences

    Chenghui Ren;Eric Lo;Ben Kao;Xinjie Zhu

  • Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index

    Ben Kao;Sau Dan Lee;Foris K F Lee;David W Cheung

  • Neural enquirer: learning to query tables in natural language

    Pengcheng Yin;Zhengdong Lu;Hang Li;Ben Kao

  • Modeling splice sites with Bayes networks

    Deyou Cai;Arthur L. Delcher;Ben Kao;Simon Kasif

Frequent Co-Authors

David W. Cheung
David W. Cheung University of Hong Kong
Reynold Cheng
Reynold Cheng University of Hong Kong
Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Kevin Y. Yip
Kevin Y. Yip Chinese University of Hong Kong
Nikos Mamoulis
Nikos Mamoulis University of Ioannina
Martin Ester
Martin Ester Simon Fraser University
Michael Chau
Michael Chau University of Hong Kong
Sunil Prabhakar
Sunil Prabhakar Purdue University West Lafayette
Daniel Barbará
Daniel Barbará George Mason University
Xiaokui Xiao
Xiaokui Xiao National University of Singapore

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

If you’re looking to build a flexible career in technology, there are many related online degrees that can complement or expand on a foundation in computer science. Pursuing an emba programs can help technical professionals move into executive or strategic leadership roles in tech-driven organizations.

For those interested in managing information resources, earning a librarian degree online opens pathways in digital asset management or data curation—both closely tied to the world of computing and information sciences.

Expanding your expertise affordably is also possible through a wide range of affordable master degree programs, which include specialized areas like data science, cybersecurity, and software engineering.

If you’re aiming for the highest academic credentials while keeping flexibility, pursuing an online doctorate leadership program can position you for top-tier organizational roles and university-level teaching opportunities.

Best Scientists Citing Ben Kao

Trending Scientists

Recently Published Articles