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Computer Science

D-Index
41
Citations
8178
World Ranking
8754
National Ranking
3743

Overview

Henry Hoffmann is a researcher affiliated with the University of Chicago in the United States, specializing in computer science with a focus on diverse subfields and topics within the discipline.

Their research spans 60 publications primarily in computer science, with significant contributions to subfields such as:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems

Key topics addressed in Henry Hoffmann's work include:

  • Software System Performance and Reliability
  • Semantic Web and Ontologies
  • Adversarial Robustness in Machine Learning
  • Cloud Computing and Resource Management
  • Graph Theory and Algorithms
  • Advanced Graph Neural Networks
  • Advanced Malware Detection Techniques

Recent notable publications by Henry Hoffmann include:

  • "Neighborhood street activity and greenspace usage uniquely contribute to predicting crime" (2021, npj Urban Sustainability)
  • "Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures" (2020, IEEE Open Journal of the Computer Society)
  • "Embodied Self-Aware Computing Systems" (2020, Proceedings of the IEEE)
  • "Automated testing of software that uses machine learning APIs" (2022, Proceedings of the 44th International Conference on Software Engineering)
  • "QURATOR: Innovative Technologies for Content and Data Curation" (2020, arXiv (Cornell University))

Henry Hoffmann has frequently published in the following venues:

  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • npj Urban Sustainability
  • IEEE Open Journal of the Computer Society
  • Proceedings of the 44th International Conference on Software Engineering

Collaborations have been an element of their research, with frequent co-authors including:

  • Michael Maire
  • Chengcheng Wan
  • Shan Lu
  • Yuhan Liu
  • Yi Ding

Best Publications

  • On-Chip Interconnection Architecture of the Tile Processor

    D. Wentzlaff;P. Griffin;H. Hoffmann;Liewei Bao

  • Managing performance vs. accuracy trade-offs with loop perforation

    Stelios Sidiroglou-Douskos;Sasa Misailovic;Henry Hoffmann;Martin Rinard

  • Evaluation of the Raw Microprocessor: An Exposed-Wire-Delay Architecture for ILP and Streams

    Michael Bedford Taylor;Walter Lee;Jason Miller;David Wentzlaff

  • A stream compiler for communication-exposed architectures

    Michael I. Gordon;William Thies;Michal Karczmarek;Jasper Lin

  • Dynamic knobs for responsive power-aware computing

    Henry Hoffmann;Stelios Sidiroglou;Michael Carbin;Sasa Misailovic

  • Quality of service profiling

    Sasa Misailovic;Stelios Sidiroglou;Henry Hoffmann;Martin Rinard

  • Application heartbeats: a generic interface for specifying program performance and goals in autonomous computing environments

    Henry Hoffmann;Jonathan Eastep;Marco D. Santambrogio;Jason E. Miller

  • Server-Driven Video Streaming for Deep Learning Inference

    Kuntai Du;Ahsan Pervaiz;Xin Yuan;Aakanksha Chowdhery

  • Automated design of self-adaptive software with control-theoretical formal guarantees

    Antonio Filieri;Henry Hoffmann;Martina Maggio

  • Maximizing Performance Under a Power Cap: A Comparison of Hardware, Software, and Hybrid Techniques

    Huazhe Zhang;Henry Hoffmann

  • Using Code Perforation to Improve Performance, Reduce Energy Consumption, and Respond to Failures

    Anant Agarwal;Martin Rinard;Stelios Sidiroglou;Sasa Misailovic

  • POET: a portable approach to minimizing energy under soft real-time constraints

    Connor Imes;David H.K. Kim;Martina Maggio;Henry Hoffmann

  • JouleGuard: energy guarantees for approximate applications

    Henry Hoffmann

  • A Probabilistic Graphical Model-based Approach for Minimizing Energy Under Performance Constraints

    Nikita Mishra;Huazhe Zhang;John D. Lafferty;Henry Hoffmann

  • Comparison of Decision-Making Strategies for Self-Optimization in Autonomic Computing Systems

    Martina Maggio;Henry Hoffmann;Alessandro V. Papadopoulos;Jacopo Panerati

  • Software engineering meets control theory

    Antonio Filieri;Martina Maggio;Konstantinos Angelopoulos;Nicolas D'Ippolito

  • Automated multi-objective control for self-adaptive software design

    Antonio Filieri;Henry Hoffmann;Martina Maggio

  • Self-aware computing in the Angstrom processor

    Henry Hoffmann;Jim Holt;George Kurian;Eric Lau

  • CALOREE: Learning Control for Predictable Latency and Low Energy

    Nikita Mishra;Connor Imes;John D. Lafferty;Henry Hoffmann

  • Application heartbeats for software performance and health

    Henry Hoffmann;Jonathan Eastep;Marco D. Santambrogio;Jason E. Miller

  • Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers

    Yunong Shi;Nelson Leung;Pranav Gokhale;Zane Rossi

Frequent Co-Authors

Shan Lu
Shan Lu University of Chicago
Frederic T. Chong
Frederic T. Chong University of Chicago
John Lafferty
John Lafferty Yale University
Michael Taylor
Michael Taylor University of Washington
William Thies
William Thies Microsoft (United States)

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