World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
16187
World Ranking
5487
National Ranking
2504

Overview

Meichun Hsu is affiliated with Hewlett Packard Enterprise in the United States. Their research spans multiple areas within Computer Science, particularly focusing on Information Systems, Computer Networks and Communications, and Signal Processing.

Their work prominently addresses topics related to Spam and Phishing Detection, Network Security and Intrusion Detection, and Advanced Malware Detection Techniques.

Meichun Hsu has published research in leading academic venues including:

  • Distributed and Parallel Databases
  • Proceedings of the International AAAI Conference on Web and Social Media

The scientist's recent papers include:

  • "Exploiting Burstiness in Reviews for Review Spammer Detection," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Introduction to the special issue on Self-managing and Hardware-Optimized Database Systems 2019," 2020, Distributed and Parallel Databases
  • "Introduction to the special issue on self-managing and hardware-optimized database systems 2020," 2021, Distributed and Parallel Databases

Meichun Hsu collaborates frequently with several researchers, highlighting coauthorship with:

  • Shimin Chen
  • Panos K. Chrysanthis
  • Khuzaima Daudjee
  • Geli Fei
  • Arjun Mukherjee

The scientist's work often intersects themes of system self-management and hardware optimization within database systems, as seen in their contributions to special issues in Distributed and Parallel Databases.

This profile reflects Meichun Hsu's ongoing contributions to the field of Computer Science, emphasizing the intersection of security challenges and system efficiency in modern computing environments.

Best Publications

  • PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth

    Jian Pei;Jiawei Han;B. Mortazavi-Asl;H. Pinto

  • Mining sequential patterns by pattern-growth: the PrefixSpan approach

    Jian Pei;Jiawei Han;B. Mortazavi-Asl;Jianyong Wang

  • FreeSpan: frequent pattern-projected sequential pattern mining

    Jiawei Han;Jian Pei;Behzad Mortazavi-Asl;Qiming Chen

  • PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth

    Jian Pei;Jiawei Han;Behzad Mortazavi-Asl;Helen Pinto

  • The HiPAC project: combining active databases and timing constraints

    U. Dayal;B. Blaustein;A. Buchmann;U. Chakravarthy

  • Combining lexicon-based and learning-based methods for twitter sentiment analysis

    Lei Zhang;Riddhiman Ghosh;Mohamed Dekhil;Meichun Hsu

  • Spotting opinion spammers using behavioral footprints

    Arjun Mukherjee;Abhinav Kumar;Bing Liu;Junhui Wang

  • Exploiting Burstiness in Reviews for Review Spammer Detection

    Geli Fei;Arjun Mukherjee;Bing Liu;Meichun Hsu

  • Organizing long-running activities with triggers and transactions

    Umeshwar Dayal;Meichun Hsu;Rivka Ladin

  • Business Process Coordination: State of the Art, Trends, and Open Issues

    Umeshwar Dayal;Meichun Hsu;Rivka Ladin

  • A Transactional Model for Long-Running Activities

    Umeshwar Dayal;Meichun Hsu;Rivka Ladin

  • Technique for visualizing large web-based hierarchical hyperbolic space with multi-paths

    Ming C. Hao;Meichun Hsu;Umeshwar Dayal;Adrian Krug

  • OLAP-based web access analysis method and system

    Qiming Chen;Umeshwar Dayal;Meichun Hsu

  • Technologies for E-Services

    Alejandro Buchmann;Ludger Fiege;Fabio Casati;Mei-Chun Hsu

  • Implementing recoverable requests using queues

    Philip A. Bernstein;Meichun Hsu;Bruce Mann

  • Time-critical database scheduling: a framework for integrating real-time scheduling and concurrency control

    A.P. Buchmann;D.R. McCarthy;M. Hsu;U. Dayal

  • Inter-enterprise collaborative business process management

    Qiming Chen;Meichun Hsu

  • Pixel bar charts: a visualization technique for very large multi-attribute data sets

    Daniel A. Keim;Ming C Hao;Umesh Dayal;Meichun Hsu

  • Apparatus and method for discovering context groups and document categories by mining usage logs

    Parvathi Chundi;Umeshwar Dayal;Meichun Hsu

  • Discovering coherent topics using general knowledge

    Zhiyuan Chen;Arjun Mukherjee;Bing Liu;Meichun Hsu

Frequent Co-Authors

Umeshwar Dayal
Umeshwar Dayal Hitachi (Japan)
Daniel A. Keim
Daniel A. Keim University of Konstanz
Bing Liu
Bing Liu University of Illinois at Chicago
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Ming-Chien Shan
Ming-Chien Shan Hewlett-Packard (United States)
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Jian Pei
Jian Pei Duke University
Alejandro Buchmann
Alejandro Buchmann Technical University of Darmstadt
Fabio Casati
Fabio Casati University of Trento
Markus Gross
Markus Gross ETH Zurich

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