World's Best Scientists 2026 revealed!
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Computer Science
UAE
2026

D-Index & Metrics

Computer Science

D-Index
81
Citations
27348
World Ranking
1014
National Ranking
9

Le Song 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 Le Song sits on this spectrum.

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 publications 991+

This scientist: 275 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Le Song 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 Le Song sits on this spectrum.

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 D-Index 131+

This scientist: 81 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2025 - Research.com Computer Science in United Arab Emirates Leader Award

Overview

Le Song is affiliated with the Mohamed bin Zayed University of Artificial Intelligence in the United Arab Emirates. Their research primarily focuses on the field of Computer Science, with a significant emphasis on Artificial Intelligence.

Their contributions span several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, and Software. Their work covers a broad set of topics, such as Topic Modeling, Advanced Graph Neural Networks, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Software Engineering Research, Machine Learning and Data Classification, and Domain Adaptation and Few-Shot Learning.

Le Song has published extensively, with notable frequent publication venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • OPAL (Open@LaTrobe) (La Trobe University)
  • China News Review

Among recent papers, key publications include:

  • HOPPITY: LEARNING GRAPH TRANSFORMATIONS TO DETECT AND FIX BUGS IN PROGRAMS (2021), published in OPAL (Open@LaTrobe) (La Trobe University)
  • Efficient Probabilistic Logic Reasoning with Graph Neural Networks (2020), published in arXiv (Cornell University)
  • TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning (2021), published in arXiv (Cornell University)
  • Guest Editorial: Non-Euclidean Machine Learning (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Bandit Samplers for Training Graph Neural Networks (2020), published in arXiv (Cornell University)

The researcher collaborates frequently with a consistent group of coauthors, including Yuyu Zhang, Hanjun Dai, Xinshi Chen, Arun Ramamurthy, and Qi Yuan.

Best Publications

  • SphereFace: Deep Hypersphere Embedding for Face Recognition

    Weiyang Liu;Yandong Wen;Zhiding Yu;Ming Li

  • Learning combinatorial optimization algorithms over graphs

    Hanjun Dai;Elias B. Khalil;Yuyu Zhang;Bistra Dilkina

  • A Hilbert space embedding for distributions

    Alex Smola;Arthur Gretton;Le Song;Bernhard Schölkopf

  • Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection

    Xiaojun Xu;Chang Liu;Qian Feng;Heng Yin

  • A Kernel Statistical Test of Independence

    Arthur Gretton;Kenji Fukumizu;Choon H. Teo;Le Song

  • GRAM: Graph-based Attention Model for Healthcare Representation Learning

    Edward Choi;Mohammad Taha Bahadori;Le Song;Walter F. Stewart

  • Recurrent Marked Temporal Point Processes: Embedding Event History to Vector

    Nan Du;Hanjun Dai;Rakshit Trivedi;Utkarsh Upadhyay

  • Discriminative embeddings of latent variable models for structured data

    Hanjun Dai;Bo Dai;Le Song

  • Variational Reasoning for Question Answering With Knowledge Graph

    Yuyu Zhang;Hanjun Dai;Zornitsa Kozareva;Alexander J. Smola

  • Adversarial Attack on Graph Structured Data

    Hanjun Dai;Hui Li;Tian Tian;Xin Huang

  • Feature selection via dependence maximization

    Le Song;Alex Smola;Arthur Gretton;Justin Bedo

  • Supervised feature selection via dependence estimation

    Le Song;Alex Smola;Arthur Gretton;Karsten M. Borgwardt

  • Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

    Jianbo Chen;Le Song;Martin J. Wainwright;Michael I. Jordan

  • Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes

    Ke Zhou;Hongyuan Zha;Le Song

  • Estimating time-varying networks

    Mladen Kolar;Le Song;Amr Ahmed;Eric P. Xing

  • Iterative Learning with Open-set Noisy Labels

    Yisen Wang;Weiyang Liu;Xingjun Ma;James Bailey

  • Hilbert space embeddings of conditional distributions with applications to dynamical systems

    Le Song;Jonathan Huang;Alex Smola;Kenji Fukumizu

  • Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs

    Rakshit Trivedi;Hanjun Dai;Yichen Wang;Le Song

  • Heterogeneous Graph Neural Networks for Malicious Account Detection

    Ziqi Liu;Chaochao Chen;Xinxing Yang;Jun Zhou

  • The 'when' and 'where' of perceiving signals of threat versus non-threat.

    Leanne M. Williams;Donna M. Palmer;Belinda J. Liddell;Le Song

  • Emerging materials intelligence ecosystems propelled by machine learning

    Rohit Batra;Le Song;Rampi Ramprasad

  • Learning to branch in Mixed Integer Programming

    Elias B. Khalil;Pierre Le Bodic;Le Song;George Nemhauser

Frequent Co-Authors

Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Arthur Gretton
Arthur Gretton University College London
Nan Du
Nan Du Tencent (China)
Manuel Gomez-Rodriguez
Manuel Gomez-Rodriguez Max Planck Institute for Software Systems
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Yingyu Liang
Yingyu Liang University of Wisconsin–Madison
Maria-Florina Balcan
Maria-Florina Balcan Carnegie Mellon University
Karsten M. Borgwardt
Karsten M. Borgwardt Max Planck Institute of Biochemistry
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems

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