Aston Zhang is a senior scientist at Amazon Web Services AI Research. He studies efficient and robust methods for machine learning and natural language processing, currently focusing on large language models. He received the ICLR Outstanding Paper Award (2021), the ACM Ubicomp Distinguished Paper Award (2018), and the ACM SenSys Best Paper Award Nomination (2017). His open-source textbook, Dive into Deep Learning, has been adopted worldwide. He obtained his Ph.D. in Computer Science from University of Illinois at Urbana-Champaign.

Hi! I’m happy to connect and discuss. My team is hiring intern scientists at our Santa Clara office or other global offices. Just email me.

Books

  • A. Zhang, Z. C. Lipton, M. Li, and A. J. Smola
    Dive into Deep Learning
    Cambridge University Press, 2023
  • A. Zhang, M. Li, Z. C. Lipton, and A. J. Smola
    动手学深度学习
    人民邮电出版社, 2nd ed., 2023, 1st ed., 2019
    • Best seller of new books in “Computers and Internet” at the largest Chinese online bookstore

Papers (All)

Tutorials

  • with A. J. Smola
    Attention in Deep Learning [Keynote] [PDF] [Video]
    In The 36th International Conference on Machine Learning (ICML), 2019

  • with H. Lin, X. Shi, L. Lausen, H. He, S. Zha, and A. J. Smola
    Dive into Deep Learning for Natural Language Processing
    In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019

  • with H. Lin, L. Lausen, S. Zha, A. J. Smola, C. Wang, and M. Li
    From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond [Website]
    In The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019

  • with H. Zhang, T. He, Z. Zhang, Z. Zhang, H. Lin, and M. Li
    Everything You Need to Know to Reproduce SOTA Deep Learning Models from Hands-on Tutorial
    In International Conference on Computer Vision (ICCV), 2019

Services

  • Area Chair
    • Annual Meeting of the Association for Computational Linguistics (ACL)
    • Conference on Empirical Methods in Natural Language Processing (EMNLP)
  • Senior Program Committee
    • AAAI Conference on Artificial Intelligence (AAAI)
  • Journal Editorial Board
    • Frontiers in Big Data

Ph.D. Interns