Lee Giles

About

Dr. C. Lee Giles is a professor whose academic legacy includes supervising numerous Ph.D. students and collaborators. His doctoral graduates at Penn State include individuals who have gone on to notable academic careers, some of whom conducted most of their Ph.D. research with him at NEC Research Institute, Princeton, NJ. His research and academic influence are reflected in his extensive network of collaborators and students, with a notable history of working with prominent researchers and institutions. For more detailed information about his collaborators and academic genealogy, references are available on his Google Scholar and DBLP pages.

Research topics

• Computer Science
• Political Science
• Sociology
• Medicine
• Engineering
• Psychology
• Public relations
• Law

Selected publications

• High reliability organizing through an extended crisis: a case study of a U.S. university during COVID-19

  Journal of Applied Communication Research · 2022 · 29 citations

  During the COVID-19 pandemic, organizations that had previously operated in low-risk conditions found themselves in environments where failure could be catastrophic. Using the framework of high reliability organizations (HRO), we analyze a specific case of a U.S. university taskforce charged with responding to the pandemic. We argue that the practices employed by the taskforce align with HRO principles, leading to two important theoretical contributions. First, this project highlights the utilit…

  DOI

• Backpropagation-Free Deep Learning with Recursive Local Representation Alignment

  Proceedings of the AAAI Conference on Artificial Intelligence · 2023-06-26 · 12 citations

  articleOpen accessSenior author

  Training deep neural networks on large-scale datasets requires significant hardware resources whose costs (even on cloud platforms) put them out of reach of smaller organizations, groups, and individuals. Backpropagation (backprop), the workhorse for training these networks, is an inherently sequential process that is difficult to parallelize. Furthermore, researchers must continually develop various specialized techniques, such as particular weight initializations and enhanced activation functi…

  PublisherOA PDFDOI

• SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings

  2024-05-02 · 10 citations

  preprintOpen access

  Crafting effective captions for figures is important. Readers heavily depend on these captions to grasp the figure’s message. However, despite a well-developed set of AI technologies for figures and captions, these have rarely been tested for usefulness in aiding caption writing. This paper introduces SciCapenter, an interactive system that puts together cutting-edge AI technologies for scientific figure captions to aid caption composition. SciCapenter generates a variety of captions for each fi…

  PublisherOA PDFDOI

• Cognitive LLMs: Toward Human-Like Artificial Intelligence by Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-Making

  Neurosymbolic Artificial Intelligence · 2025-10-01 · 7 citations

  articleOpen access

  Resolving the dichotomy between the human-like yet constrained reasoning processes of cognitive architectures (CAs) and the broad but often noisy inference behavior of large language models (LLMs) remains a challenging yet exciting pursuit, aimed at enabling reliable machine reasoning capabilities in LLMs. Previous approaches that employ off-the-shelf LLMs in manufacturing decision-making face challenges in complex reasoning tasks, often exhibiting human-level yet unhuman-like behaviors due to i…

  PublisherDOI

• A provably stable neural network Turing Machine with finite precision and time

  Information Sciences · 2023-12-21 · 7 citations

  articleSenior author
  PublisherDOI

Frequent coauthors

• Anusha Ranganathan

  1 shared

• Matthew Kemp

  University of Oxford

  1 shared

• Elizabeth A. Williams

  University of Sheffield

  1 shared

• Jose Canchan

  1 shared

• Sean O'Bannon

  1 shared

• Laurence L. Benson

  1 shared

• Stephanie Taylor

  Queen Mary University of London

  1 shared

• Matthew Burgess

  University of Aberdeen

  1 shared

Labs

• C. Lee Giles LabPI

Education

• Phd, Optical Sciences

  University of Arizona

• MS, Physics

  University of Michigan

Awards & honors

• IEEE Pioneer Award
• INNS Gabor Award

Similar researchers at Pennsylvania State University

• Duane Alwinh-64
• Stephanie Lanzah-56
• Vasant Honavarh-53