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

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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