World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
45978
World Ranking
7335
National Ranking
65

Overview

Daniel J. Lee is affiliated with Samsung in South Korea and has contributed extensively to research spanning computer science and engineering fields. Their work integrates multiple disciplines, notably artificial intelligence, computer vision, control and systems engineering, cognitive neuroscience, and electrical and electronic engineering.

The research topics associated with Daniel J. Lee include:

  • Robot Manipulation and Learning
  • Robotic Path Planning Algorithms
  • Neural Networks and Applications
  • Spectroscopy and Laser Applications
  • Laser Design and Applications
  • Human Pose and Action Recognition
  • Neural dynamics and brain function

Recent publications by Daniel J. Lee demonstrate a breadth of expertise in both artificial intelligence and applied physics arenas. Among these are:

  • "Separability and geometry of object manifolds in deep neural networks" (2020), published in Nature Communications
  • "MHz laser absorption spectroscopy via diplexed RF modulation for pressure, temperature, and species in rotating detonation rocket flows" (2020), published in Applied Physics B
  • "Methane-oxygen rotating detonation exhaust thermodynamics with variable mixing, equivalence ratio, and mass flux" (2021), published in Aerospace Science and Technology
  • "Line mixing and broadening of carbon dioxide by argon in the v3 bandhead near 4.2 µm at high temperatures and high pressures" (2020), published in Journal of Quantitative Spectroscopy and Radiative Transfer
  • "Exploiting line-mixing effects for laser absorption spectroscopy at extreme combustion pressures" (2020), published in Proceedings of the Combustion Institute

The frequent co-authors in Daniel J. Lee's scholarly collaborations include:

  • Volkan Isler
  • Niko A. Grupen
  • Anil P. Nair
  • R. Mitchell Spearrin
  • Jinwook Huh

Daniel J. Lee has published significantly in venues such as arXiv (Cornell University), with 19 publications, as well as the Proceedings of the AAAI Conference on Artificial Intelligence and the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), each with multiple contributions. Other publication venues include Nature Communications and Applied Physics B.

The scientist's research addresses subjects at the intersection of artificial intelligence and engineering, leveraging methodologies and applications in neural networks, robotic systems, and spectroscopy. Their work reflects ongoing engagement with both fundamental and applied challenges in technology and science.

Best Publications

  • Learning the parts of objects by non-negative matrix factorization

    Daniel D. Lee;H. Sebastian Seung;H. Sebastian Seung

  • Stan: A Probabilistic Programming Language

    Bob Carpenter;Andrew Gelman;Matthew D. Hoffman;Daniel Lee

  • Algorithms for Non-negative Matrix Factorization

    Daniel D. Lee;H. Sebastian Seung

  • The manifold ways of perception

    H. Sebastian Seung;Daniel D. Lee

  • Grassmann discriminant analysis: a unifying view on subspace-based learning

    Jihun Hamm;Daniel D. Lee

  • A kernel view of the dimensionality reduction of manifolds

    Jihun Ham;Daniel D. Lee;Sebastian Mika;Bernhard Schölkopf

  • Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization.

    Andrew Gelman;Daniel Lee;Jiqiang Guo

  • System and method for providing interactive dialogue and iterative search functions to find information

    Katherine G. August;Chin-Sheng Chuang;Michelle McNerney;Elizabeth A. Shriver

  • Stability of the memory of eye position in a recurrent network of conductance-based model neurons.

    H.Sebastian Seung;H.Sebastian Seung;Daniel D. Lee;Ben Y. Reis;David W. Tank

  • Multiplicative Updates for Nonnegative Quadratic Programming

    Fei Sha;Yuanqing Lin;Lawrence K. Saul;Daniel D. Lee

  • Spectral Methods for Dimensionality Reduction.

    Lawrence K. Saul;Kilian Q. Weinberger;Fei Sha;Jihun Ham

  • Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines

    Fei Sha;Lawrence K. Saul;Daniel D. Lee

  • Semisupervised alignment of manifolds.

    Jihun Ham;Daniel D. Lee;Lawrence K. Saul

  • Little Ben: The Ben Franklin Racing Team's entry in the 2007 DARPA Urban Challenge

    Jonathan Bohren;Tully Foote;Jim Keller;Alex Kushleyev

  • Learning Optimal Resource Allocations in Wireless Systems

    Mark Eisen;Clark Zhang;Luiz F. O. Chamon;Daniel D. Lee

  • Short-term memory in orthogonal neural networks.

    Olivia L. White;Daniel D. Lee;Haim Sompolinsky;Haim Sompolinsky

  • Approximating Explicit Model Predictive Control Using Constrained Neural Networks

    Steven Chen;Kelsey Saulnier;Nikolay Atanasov;Daniel D. Lee

  • Unsupervised Learning by Convex and Conic Coding

    Daniel D. Lee;H. Sebastian Seung

  • Separability and geometry of object manifolds in deep neural networks.

    Uri Cohen;SueYeon Chung;SueYeon Chung;SueYeon Chung;Daniel D. Lee;Haim Sompolinsky;Haim Sompolinsky

  • Generative Local Metric Learning for Nearest Neighbor Classification

    Yung-Kyun Noh;Byoung-Tak Zhang;Daniel D. Lee

  • The Rectified Gaussian Distribution

    Nicholas D. Socci;Daniel D. Lee;H. Sebastian Seung

  • Access Control for Home Data Sharing: Attitudes, Needs and Practices

    Michelle L. Mazurek;J. P. Arsenault;Joanna Bresee;Nitin Gupta

  • Access Control for Home Data Sharing: Attitudes, Needs and Practices (CMU-CyLab-09-013, CMU-PDL-09-110)

    Michelle L. Mazurek;J. P. Arsenault;Joanna Bresee;Nitin Gupta

Frequent Co-Authors

Volkan Isler
Volkan Isler University of Minnesota
H. Sebastian Seung
H. Sebastian Seung Princeton University
Byoung-Tak Zhang
Byoung-Tak Zhang Seoul National University
Haim Sompolinsky
Haim Sompolinsky Hebrew University of Jerusalem
Lawrence K. Saul
Lawrence K. Saul University of California, San Diego
Vijay Kumar
Vijay Kumar University of Pennsylvania
George J. Pappas
George J. Pappas University of Pennsylvania
Frank C. Park
Frank C. Park Seoul National University
Fei Sha
Fei Sha Facebook (United States)
Manfred Morari
Manfred Morari University of Pennsylvania

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