World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5567
World Ranking
10796
National Ranking
4495

Mathematics

D-Index
38
Citations
5602
World Ranking
2365
National Ranking
996

Overview

James R. Lee is affiliated with the University of Washington in the United States and has made contributions primarily in the fields of Mathematics and Computer Science. Their work spans several key topics such as stochastic processes and statistical mechanics, Markov chains and Monte Carlo methods, optimization and search problems, theoretical and computational physics, sparse and compressive sensing techniques, point processes and geometric inequalities, and advanced bandit algorithms research.

Lee's research output includes publications in a diverse range of venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • The Annals of Probability
  • SIAM Journal on Computing
  • Communications in Mathematical Physics

Among recent papers, the following stand out:

  • Conformal growth rates and spectral geometry on distributional limits of graphs, 2021, The Annals of Probability
  • Adversarial Hypothesis Testing and a Quantum Stein's Lemma for Restricted Measurements, 2020, IEEE Transactions on Information Theory
  • Metrical Task Systems on Trees via Mirror Descent and Unfair Gluing, 2021, SIAM Journal on Computing

Additionally, Lee has collaborated frequently with several researchers across multiple publications. These frequent co-authors are:

  • Farzam Ebrahimnejad
  • Sébastien Bubeck
  • Yin Tat Lee
  • Marah Abdin
  • Jyoti Aneja

Lee's work reflects a strong focus on mathematical physics and computational theory, with notable engagement in artificial intelligence and statistics and probability as subfields. The scientist's research often intersects applied mathematics and computational techniques, emphasizing foundational theoretical constructs.

Best Publications

  • Bounded geometries, fractals, and low-distortion embeddings

    A. Gupta;R. Krauthgamer;J.R. Lee

  • Improved Approximation Algorithms for Minimum Weight Vertex Separators

    Uriel Feige;MohammadTaghi Hajiaghayi;James R. Lee

  • Navigating nets: simple algorithms for proximity search

    Robert Krauthgamer;James R. Lee

  • Multiway Spectral Partitioning and Higher-Order Cheeger Inequalities

    James R. Lee;Shayan Oveis Gharan;Luca Trevisan

  • Euclidean distortion and the sparsest cut

    Sanjeev Arora;James R. Lee;Assaf Naor

  • Lower Bounds on the Size of Semidefinite Programming Relaxations

    James R. Lee;Prasad Raghavendra;David Steurer

  • Extending Lipschitz functions via random metric partitions

    James R. Lee;Assaf Naor

  • Multi-way spectral partitioning and higher-order cheeger inequalities

    James R. Lee;Shayan Oveis Gharan;Luca Trevisan

  • Euclidean distortion and the sparsest cut

    Sanjeev Arora;James R. Lee;Assaf Naor

  • Improved approximation algorithms for minimum-weight vertex separators

    Uriel Feige;MohammadTaghi Hajiaghayi;James R. Lee

  • Measured descent: a new embedding method for finite metrics

    R. Krauthgamer;J. R. Lee;M. Mendel;Assaf Naor

  • Embedding the diamond graph in Lp and dimension reduction in L1

    James R. Lee;Assaf Naor

  • Hardness of Approximation for Vertex-Connectivity Network Design Problems

    Guy Kortsarz;Robert Krauthgamer;James R. Lee

  • Cover times, blanket times, and majorizing measures

    Jian Ding;James R. Lee;Yuval Peres

  • Algorithms on negatively curved spaces

    Robert Krauthgamer;James Lee

  • Approximate Constraint Satisfaction Requires Large LP Relaxations

    Siu On Chan;James R. Lee;Prasad Raghavendra;David Steurer

  • Lp metrics on the Heisenberg group and the Goemans-Linial conjecture

    James Lee;Assaf Naor

  • An improved approximation ratio for the minimum linear arrangement problem

    Uriel Feige;James R. Lee

  • Trees and Markov Convexity

    James R. Lee;Assaf Naor;Yuval Peres

  • The black-box complexity of nearest-neighbor search

    Robert Krauthgamer;James R. Lee

  • k-server via multiscale entropic regularization

    Sébastien Bubeck;Michael B. Cohen;Yin Tat Lee;James R. Lee

Frequent Co-Authors

Assaf Naor
Assaf Naor Princeton University
Robert Krauthgamer
Robert Krauthgamer Weizmann Institute of Science
Prasad Raghavendra
Prasad Raghavendra University of California, Berkeley
Nathan Linial
Nathan Linial Hebrew University of Jerusalem
Venkatesan Guruswami
Venkatesan Guruswami University of California, Berkeley
David Steurer
David Steurer ETH Zurich
Alexander A. Razborov
Alexander A. Razborov University of Chicago
Sanjeev Arora
Sanjeev Arora Princeton University
Sébastien Bubeck
Sébastien Bubeck Microsoft (United States)
Yin Tat Lee
Yin Tat Lee Microsoft (United States)

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