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Le Song

Active 1980–2026

351
Papers
33,474
Citations
85
h-index
248
i10-index

Citations

Citations per year for Le Song1977: 1 citations1980: 1 citations1991: 1 citations1992: 2 citations1994: 1 citations1995: 1 citations1997: 2 citations2001: 2 citations2003: 2 citations2004: 3 citations2005: 8 citations2006: 11 citations2007: 32 citations2008: 50 citations2009: 76 citations2010: 113 citations2011: 148 citations2012: 197 citations2013: 252 citations2014: 297 citations2015: 355 citations2016: 473 citations2017: 591 citations2018: 850 citations2019: 1,275 citations2020: 1,565 citations2021: 1,891 citations2022: 1,267 citations2023: 1,218 citations2024: 1,535 citations2025: 1,471 citations2026: 441 citations2027: 1 citations1978–1979: no citations, so these years are not shown1981–1990: no citations, so these years are not shown1993: no citations, so this year is not shown1996: no citations, so this year is not shown1998–2000: no citations, so these years are not shown2002: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,906 citing papers, 26.3% of this breakdownUnited States: 3,684 citing papers, 24.8% of this breakdownUnited Kingdom: 829 citing papers, 5.6% of this breakdownGermany: 671 citing papers, 4.5% of this breakdownAustralia: 587 citing papers, 3.9% of this breakdownCanada: 445 citing papers, 3% of this breakdownHong Kong: 396 citing papers, 2.7% of this breakdownJapan: 394 citing papers, 2.6% of this breakdownSingapore: 351 citing papers, 2.3% of this breakdownFrance: 345 citing papers, 2.3% of this breakdownIndia: 337 citing papers, 2.3% of this breakdownItaly: 247 citing papers, 1.7% of this breakdown
0%26.3%Other 18%

Institutions

Fields

  • Computer Science59.4%
  • Engineering9.2%
  • Physics and Astronomy6.9%
  • Biochemistry, Genetics and Molecular Biology6.3%
  • Mathematics4.2%
  • Medicine2.5%
  • Other11.5%

Topics

  • Advanced Graph Neural Networks4.8%
  • Topic Modeling4.1%
  • Complex Network Analysis Techniques3.3%
  • Machine Learning in Healthcare1.7%
  • Domain Adaptation and Few-Shot Learning1.7%
  • Face and Expression Recognition1.6%
  • Other82.8%

Coauthors

All papers

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  1. Scientific discovery in the age of artificial intelligence

    Authors: Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik - Nature, Nat. 2023 cited by 1,726

  2. From System 1 to System 2: A Survey of Reasoning Large Language Models

    Authors: Zhongzhi Li, Duzhen Zhang, Mingliang Zhang, Jiaxin Zhang, Zengyan Liu, Yao, Yuxuan, Haotian Xu, Junhao Zheng, Peijie Wang, Xiuyi Chen, Yingying Zhang, Fei Yin, Jiahua Dong, Zhiwei Li, Baiyang Bi, Mei, Ling-Rui, Junfeng Fang, Liang, Xiao, Zhijiang Guo, Le Song, Chenglin Liu - ArXiv.org, CoRR 2025 cited by 340

  3. Learning Combinatorial Optimization Algorithms over Graphs

    Authors: Elias B. Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, Le Song - NIPS 2017 cited by 1,746

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

    Authors: Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song - SIGSAC Conference on Computer and Communications Security, CCS 2017 cited by 499

  5. GRAM: Graph-based Attention Model for Healthcare Representation Learning

    Authors: Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun - SIGKDD International Conference on Knowledge Discovery and Data Mining 2017 cited by 653

  6. Heterogeneous Graph Neural Networks for Malicious Account Detection

    Authors: Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song - International Conference on Information and Knowledge Management, CIKM 2018 cited by 377

  7. Variational Reasoning for Question Answering With Knowledge Graph

    Authors: Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song - AAAI Conference on Artificial Intelligence 2018 cited by 389

  8. Recurrent Marked Temporal Point Processes: Embedding Event History to Vector

    Authors: Nan Du, Hanjun Dai, Rakshit S. Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song - SIGKDD International Conference on Knowledge Discovery and Data Mining 2016 cited by 554

  9. XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images

    Authors: Yanfeng Zhou, Jiaxing Huang, Chenlong Wang, Le Song, Ge Yang - IEEE/CVF International Conference on Computer Vision (ICCV) 2023 cited by 101

  10. TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

    Authors: Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang - arXiv (Cornell University), CoRR 2021 cited by 78

  11. xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein

    Authors: Bo Chen, Xingyi Cheng, Li Pan, Yangli‐ao Geng, Jing Gong, Shen Li, Zhilei Bei, Xu Tan, Boyan Wang, Xin Zeng, Chi-Ming Liu, Aohan Zeng, Yuxiao Dong, Jie Tang, Le Song - 2023 cited by 104

  12. Large Scale Foundation Model on Single-cell Transcriptomics

    Authors: Minsheng Hao, Jing Gong, Xin Zeng, Chi-Ming Liu, Yucheng Guo, Xingyi Cheng, Taifeng Wang, Jianzhu Ma, Le Song, Xuegong Zhang - Nature Methods 2023 cited by 457

  13. Learning to Branch in Mixed Integer Programming

    Authors: Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina - AAAI Conference on Artificial Intelligence 2016 cited by 309

  14. A method for multiple-sequence-alignment-free protein structure prediction using a protein language model

    Authors: Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Kunrui Zhu, Xiaonan Zhang, Hua Wu, Hui Li, Le Song - Nature Machine Intelligence, Nat. Mac. Intell. 2023 cited by 93

  15. Graph Condensation via Receptive Field Distribution Matching

    Authors: Mengyang Liu, Shanchuan Li, Xinshi Chen, Le Song - arXiv (Cornell University), CoRR 2022 cited by 52

  16. Stochastic Training of Graph Convolutional Networks with Variance Reduction

    Authors: Jianfei Chen, Jun Zhu, Le Song - International Conference on Machine Learning, ICML 2018 cited by 567

  17. A Hilbert Space Embedding for Distributions

    Authors: Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf - Lecture notes in computer science, ALT 2007 cited by 747

  18. xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein

    Authors: Bo Chen, Xingyi Cheng, Pan Li, Yangli-ao Geng, Jing Gong, Shen Li, Zhilei Bei, Xu Tan, Boyan Wang, Xin Zeng, Chiming Liu, Aohan Zeng, Yuxiao Dong, Jie Tang, Le Song - arXiv (Cornell University), CoRR 2024 cited by 38

  19. Emerging materials intelligence ecosystems propelled by machine learning

    Authors: Rohit Batra, Le Song, Rampi Ramprasad - Nature Reviews Materials 2020 cited by 391

  20. Hilbert space embeddings of conditional distributions with applications to dynamical systems

    Authors: Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu - Conference on Machine Learning, ICML 2009 cited by 274

  21. Syntax-Directed Variational Autoencoder for Structured Data

    Authors: Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song - International Conference on Learning Representations, ICLR (Poster) 2018 cited by 358

  22. A Kernel Statistical Test of Independence

    Authors: Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alexander J. Smola - NIPS 2007 cited by 1,068

  23. Supervised Feature Selection via Dependence Estimation

    Authors: Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo - conference on Machine learning, ICML 2007 cited by 359

  24. LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners

    Authors: Junhao Zheng, Xidi Cai, Qiuke Li, Duzhen Zhang, Zhong-Zhi Li, Yingying Zhang, Le Song, Qianli Ma - ArXiv.org, CoRR 2025 cited by 29