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D-Index & Metrics

Computer Science

D-Index
73
Citations
21575
World Ranking
1590
National Ranking
829

Overview

Calton Pu is affiliated with the Georgia Institute of Technology in the United States. Their research contributions span across several areas within computer science, with a primary focus on artificial intelligence and its applications, computer vision and pattern recognition, and computer networks and communications.

The scientist's recent research includes work on frameworks and methods in edge and mobile computing, particularly related to augmented reality and distributed neural networks. Selected publications highlight:

  • Edge AR X5: An Edge-Assisted Multi-User Collaborative Framework for Mobile Web Augmented Reality in 5G and Beyond, 2020, IEEE Transactions on Cloud Computing
  • A Lightweight Collaborative Deep Neural Network for the Mobile Web in Edge Cloud, 2020, IEEE Transactions on Mobile Computing
  • Fine-Grained Elastic Partitioning for Distributed DNN Towards Mobile Web AR Services in the 5G Era, 2021, IEEE Transactions on Services Computing
  • Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention, 2020, arXiv (Cornell University)
  • ODIN, 2020, Proceedings of the VLDB Endowment

Frequent collaborators include:

  • Abhijit Suprem
  • João Eduardo Ferreira
  • Pei Ren
  • Xiuquan Qiao
  • Yakun Huang

Calton Pu has published in various venues, with a notable concentration in:

  • arXiv (Cornell University)
  • ACM Transactions on Internet Technology
  • IEEE Transactions on Mobile Computing
  • Multimedia Systems
  • IEEE Transactions on Cloud Computing

Their main field of study is computer science, with subfields including:

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

Key research topics addressed in their work are:

  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Data Stream Mining Techniques
  • Misinformation and Its Impacts
  • IoT and Edge/Fog Computing
  • Software System Performance and Reliability
  • Spam and Phishing Detection

Best Publications

  • StackGuard: automatic adaptive detection and prevention of buffer-overflow attacks

    Crispin Cowan;Calton Pu;Dave Maier;Heather Hintony

  • XWRAP: an XML-enabled wrapper construction system for Web information sources

    L. Liu;C. Pu;W. Han

  • Buffer overflows: attacks and defenses for the vulnerability of the decade

    C. Cowan;F. Wagle;Calton Pu;S. Beattie

  • Continual queries for Internet scale event-driven information delivery

    Ling Liu;C. Pu;Wei Tang

  • An Analysis of Performance Interference Effects in Virtual Environments

    Younggyun Koh;R. Knauerhase;P. Brett;M. Bowman

  • A feedback-driven proportion allocator for real-rate scheduling

    David C. Steere;Ashvin Goel;Joshua Gruenberg;Dylan McNamee

  • Mistral: Dynamically Managing Power, Performance, and Adaptation Cost in Cloud Infrastructures

    Gueyoung Jung;Matti A. Hiltunen;Kaustubh R. Joshi;Richard D. Schlichting

  • A fully automated object extraction system for the World Wide Web

    D. Buttler;Ling Liu;C. Pu

  • Replica control in distributed systems: as asynchronous approach

    Calton Pu;Avraham Leff

  • Split-Transactions for Open-Ended Activities

    Calton Pu;Gail E. Kaiser;Norman C. Hutchinson

  • Differentially Private Model Publishing for Deep Learning

    Lei Yu;Ling Liu;Calton Pu;Mehmet Emre Gursoy

  • Research challenges in environmental observation and forecasting systems

    David C. Steere;Antonio Baptista;Dylan McNamee;Calton Pu

  • Optimistic incremental specialization: streamlining a commercial operating system

    C. Pu;T. Autrey;A. Black;C. Consel

  • A Distributed Real-Time MPEG Video Audio Player

    Shanwei Cen;Calton Pu;Richard Staehli;Crispin Cowan

  • Understanding Performance Interference of I/O Workload in Virtualized Cloud Environments

    Xing Pu;Ling Liu;Yiduo Mei;Sankaran Sivathanu

  • Improving Performance and Availability of Services Hosted on IaaS Clouds with Structural Constraint-Aware Virtual Machine Placement

    Deepal Jayasinghe;Calton Pu;Tamar Eilam;Malgorzata Steinder

  • Buffer overflows: attacks and defenses for the vulnerability of the decade

    C. Cowan;P. Wagle;C. Pu;S. Beattie

  • The Synthesis Kernel

    Calton Pu;Henry Massalin;John Ioannidis

  • A Lock-Free Multiprocessor OS Kernel

    Henry Massalin;Calton Pu

  • Reducing TCB complexity for security-sensitive applications: three case studies

    Lenin Singaravelu;Calton Pu;Hermann Härtig;Christian Helmuth

Frequent Co-Authors

Ling Liu
Ling Liu Georgia Institute of Technology
Jonathan Walpole
Jonathan Walpole Portland State University
Charles Consel
Charles Consel Institut Polytechnique de Bordeaux
James Caverlee
James Caverlee Texas A&M University
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
Jianwei Yin
Jianwei Yin Zhejiang University
Richard D. Schlichting
Richard D. Schlichting United States Naval Academy
David Maier
David Maier Portland State University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
James Joshi
James Joshi University of Pittsburgh

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