Aston Zhang is a member of technical staff at OpenAI. His work has been recognized with the ICLR Outstanding Paper Award, the ACM Ubicomp Distinguished Paper Award, and an ACM SenSys Best Paper Award nomination. His textbook, “Dive into Deep Learning,” is adopted worldwide. He holds a Ph.D. from the University of Illinois Urbana-Champaign.

Books

• A. Zhang, Z. C. Lipton, M. Li, and A. J. Smola
  Dive into Deep Learning
  Cambridge University Press, 2023
  
  • Adopted at 500 universities from 70 countries
  • Best seller in China
    

Papers (All)

• M. Zhong*, A. Zhang*, X. Wang, R. Hou, W. Xiong, C. Zhu, Z. Chen, L. Tan, C. Bi, M. Lewis, S. Popuri, S. Narang, M. Kambadur, D. Mahajan, S. Edunov, J. Han, and L. van der Maaten
  Law of the Weakest Link: Cross Capabilities of Large Language Models
  In Proceedings of the International Conference on Learning Representations (ICLR), 2025
  llm-cross-capabilities.org

• Llama Team, AI@Meta (Core Contributor)
  The Llama 3 Herd of Models
  2024
  

• Z. Zhang and A. Zhang
  You Only Look at Screens: Multimodal Chain-of-Action Agents
  In Findings of the Association for Computational Linguistics (ACL), 2024
  

• Z. Zhang, A. Zhang, M. Li, H. Zhao, G. Karypis, and A. J. Smola
  Multimodal Chain-of-Thought Reasoning in Language Models
  In Transactions on Machine Learning Research (TMLR), 2024
  [Idea Inspiration by Homeschooling]

• J. Chen, A. Zhang, X. Shi, M. Li, A. J. Smola, and D. Yang
  Parameter-Efficient Fine-Tuning Design Spaces
  In Proceedings of the International Conference on Learning Representations (ICLR), 2023
  

• Z. Zhang, A. Zhang, M. Li, and A. J. Smola
  Automatic Chain of Thought Prompting in Large Language Models
  In Proceedings of the International Conference on Learning Representations (ICLR), 2023
  

• T. Yang, Y. Zhu, Y. Xie, A. Zhang, C. Chen, and M. Li
  AIM: Adapting Image Models for Efficient Video Understanding
  In Proceedings of the International Conference on Learning Representations (ICLR), 2023
  

• C. Qin, A. Zhang, Z. Zhang, J. Chen, M. Yasunaga, and D. Yang
  Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
  In Empirical Methods in Natural Language Processing (EMNLP), 2023
  

• A. Zhang, Y. Tay, S. Zhang, A. Chan, A. T. Luu, S. C. Hui, and J. Fu
  Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters
  In Proceedings of the International Conference on Learning Representations (ICLR, Outstanding Paper Award), 2021
  

Tutorials

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

Services

• Area Chair
  • Annual Meeting of the Association for Computational Linguistics (ACL)
  • Conference on Empirical Methods in Natural Language Processing (EMNLP)
  • International Conference on Computational Linguistics (COLING)