World's Best Scientists 2026 revealed!
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Yin Tat Lee
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Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 41 613 613 91 91 126 6156
Computer Science 32 13167 12779 5287 5040 164 4399

Yin Tat Lee publications per year

The chart shows the history of publications by Yin Tat Lee between 2013 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yin Tat Lee published across 13 years, from 2013 to 2025, averaging 13.5 papers a year. Output peaked at 24 publications in 2020. 9 of the 175 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2013 to 2025. Vertical axis: number of publications, 0 to 24. Peak 24 publications in 2020. 2013: 11 publications 2014: 7 publications 2015: 14 publications 2016: 12 publications 2017: 17 publications 2018: 20 publications 2019: 22 publications 2020: 24 publications 2021: 23 publications 2022: 9 publications 2023: 7 publications 2024: 6 publications 2025: 3 publications
2013 2025

175 publications in total across all disciplines

View publications per year as a table
Yin Tat Lee: publications per year, 2013 to 2025
Year Publications
2013 11
2014 7
2015 14
2016 12
2017 17
2018 20
2019 22
2020 24
2021 23
2022 9
2023 7
2024 6
2025 3
Total 175
Download as CSV

Yin Tat Lee publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yin Tat Lee sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 162–171 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 164 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534 164
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Yin Tat Lee D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yin Tat Lee sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 32–33 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983 32
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Yin Tat Lee is affiliated with Microsoft in the United States. Their research spans several key areas within computer science and mathematics, focusing on complexity and algorithms, optimization techniques, and data privacy.

The scientist's main fields of study include Computer Science and Mathematics, with subfields concentrated in Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability, Numerical Analysis, and Computer Networks and Communications.

Their work frequently addresses topics such as:

  • Complexity and Algorithms in Graphs
  • Stochastic Gradient Optimization Techniques
  • Markov Chains and Monte Carlo Methods
  • Privacy-Preserving Technologies in Data
  • Advanced Optimization Algorithms Research
  • Machine Learning and Algorithms
  • Sparse and Compressive Sensing Techniques

Yin Tat Lee has published extensively, with a notable presence in venues such as arXiv (Cornell University), SIAM Journal on Computing, Journal of Privacy and Confidentiality, Journal of the ACM, and bioRxiv (Cold Spring Harbor Laboratory).

Selected recent papers include:

  • Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone, 2024, arXiv (Cornell University)
  • Solving Linear Programs in the Current Matrix Multiplication Time, 2021, Journal of the ACM
  • Numerical Composition of Differential Privacy, 2024, Journal of Privacy and Confidentiality
  • Network size and weights size for memorization with two-layers neural networks, 2020, arXiv (Cornell University)
  • Minimum Cost Flows, MDPs, and ℓ₁-Regression in Nearly Linear Time for Dense Instances, 2021, arXiv (Cornell University)

Their frequent collaborators include Ruoqi Shen, Sivakanth Gopi, Kevin Tian, Santosh Vempala, and Swati Padmanabhan, indicating regular partnerships with researchers active in related fields and topics.

Best Publications

  • Path Finding Methods for Linear Programming: Solving Linear Programs in Õ(vrank) Iterations and Faster Algorithms for Maximum Flow

    Yin Tat Lee;Aaron Sidford

  • Solving Linear Programs in the Current Matrix Multiplication Time

    Michael B. Cohen;Yin Tat Lee;Zhao Song

  • An Almost-Linear-Time Algorithm for Approximate Max Flow in Undirected Graphs, and its Multicommodity Generalizations

    Jonathan A. Kelner;Yin Tat Lee;Lorenzo Orecchia;Aaron Sidford

  • Efficient Accelerated Coordinate Descent Methods and Faster Algorithms for Solving Linear Systems

    Yin Tat Lee;Aaron Sidford

  • A Faster Cutting Plane Method and its Implications for Combinatorial and Convex Optimization

    Yin Tat Lee;Aaron Sidford;Sam Chiu-Wai Wong

  • Optimal algorithms for smooth and strongly convex distributed optimization in networks

    Kevin Seaman;Francis Bach;Sébastien Bubeck;Yin Tat Lee

  • Uniform Sampling for Matrix Approximation

    Michael B. Cohen;Yin Tat Lee;Cameron Musco;Christopher Musco

  • Solving linear programs in the current matrix multiplication time

    Michael B. Cohen;Yin Tat Lee;Zhao Song

  • Geometric median in nearly linear time

    Michael B. Cohen;Yin Tat Lee;Gary Miller;Jakub Pachocki

  • A geometric alternative to Nesterov's accelerated gradient descent

    Sébastien Bubeck;Yin Tat Lee;Mohit Singh

  • Efficient Inverse Maintenance and Faster Algorithms for Linear Programming

    Yin Tat Lee;Aaron Sidford

  • Single Pass Spectral Sparsification In Dynamic Streams

    Michael Kapralov;Yin Tat Lee;Cameron Musco;Christopher Musco

  • Sparsified Cholesky and multigrid solvers for connection laplacians

    Rasmus Kyng;Yin Tat Lee;Richard Peng;Sushant Sachdeva

  • Kernel-based methods for bandit convex optimization

    Sébastien Bubeck;Yin Tat Lee;Ronen Eldan

  • A new approach to computing maximum flows using electrical flows

    Yin Tat Lee;Satish Rao;Nikhil Srivastava

  • Optimal Algorithms for Non-Smooth Distributed Optimization in Networks

    Kevin Scaman;Francis R. Bach;Sébastien Bubeck;Laurent Massoulié

  • Constructing Linear-Sized Spectral Sparsification in Almost-Linear Time

    Yin Tat Lee;He Sun

  • Optimal Algorithms for Non-Smooth Distributed Optimization in Networks

    Kevin Scaman;Francis Bach;Sébastien Bubeck;Yin Tat Lee

  • Improved Cheeger's inequality: analysis of spectral partitioning algorithms through higher order spectral gap

    Tsz Chiu Kwok;Lap Chi Lau;Yin Tat Lee;Shayan Oveis Gharan

  • An SDP-based algorithm for linear-sized spectral sparsification

    Yin Tat Lee;He Sun

  • Eldan's Stochastic Localization and the KLS Hyperplane Conjecture: An Improved Lower Bound for Expansion

    Yin Tat Lee;Santosh Srinivas Vempala

  • Convergence rate of Riemannian Hamiltonian Monte Carlo and faster polytope volume computation

    Yin Tat Lee;Santosh S. Vempala

  • Solving tall dense linear programs in nearly linear time

    Jan van den Brand;Yin Tat Lee;Aaron Sidford;Zhao Song

  • A Faster Interior Point Method for Semidefinite Programming

    Haotian Jiang;Tarun Kathuria;Yin Tat Lee;Swati Padmanabhan

  • Minimum cost flows, MDPs, and ℓ1-regression in nearly linear time for dense instances

    Jan van den Brand;Yin Tat Lee;Yang P. Liu;Thatchaphol Saranurak

  • Single Pass Spectral Sparsification in Dynamic Streams

    Michael Kapralov;Yin Tat Lee;Cameron Musco;Christopher Musco

  • Near-optimal method for highly smooth convex optimization

    Sébastien Bubeck;Qijia Jiang;Yin Tat Lee;Yuanzhi Li

Frequent Co-Authors

Aaron Sidford
Aaron Sidford Stanford University
Sébastien Bubeck
Sébastien Bubeck Microsoft (United States)
Santosh Vempala
Santosh Vempala Georgia Institute of Technology
Zhao Song
Zhao Song Adobe Systems (United States)
Yuanzhi Li
Yuanzhi Li Carnegie Mellon University
Richard Peng
Richard Peng Carnegie Mellon University
Laurent Massoulié
Laurent Massoulié French Institute for Research in Computer Science and Automation - INRIA
Francis Bach
Francis Bach École Normale Supérieure
James R. Lee
James R. Lee University of Washington
Daniel A. Spielman
Daniel A. Spielman Yale University

External Links

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Best Scientists Citing Yin Tat Lee

Aaron Sidford

Aaron Sidford

Stanford University

Publications: 56

Richard Peng

Richard Peng

Carnegie Mellon University

Publications: 47

David P. Woodruff

David P. Woodruff

Carnegie Mellon University

Publications: 39

Zhao Song

Zhao Song

Adobe Systems (United States)

Publications: 31

Peter Richtárik

Peter Richtárik

King Abdullah University of Science and Technology

Publications: 29

Robert Krauthgamer

Robert Krauthgamer

Weizmann Institute of Science

Publications: 18

Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

Publications: 18

Zeyuan Allen-Zhu

Zeyuan Allen-Zhu

Meta Platforms, Inc.

Publications: 16

Angelia Nedic

Angelia Nedic

Arizona State University

Publications: 16

Csaba Szepesvári

Csaba Szepesvári

University of Alberta

Publications: 14

Sanjeev Khanna

Sanjeev Khanna

University of Pennsylvania

Publications: 14

Wotao Yin

Wotao Yin

Alibaba Group (China)

Publications: 13

Danupon Nanongkai

Danupon Nanongkai

Max Planck Institute for Informatics

Publications: 12

Zhouchen Lin

Zhouchen Lin

Peking University

Publications: 11

Tong Zhang

Tong Zhang

University of Illinois at Urbana-Champaign

Publications: 11

Alex Olshevsky

Alex Olshevsky

Boston University

Publications: 11

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