I’m now (proudly) a Ph.D. student at the Machine Learning Department of CMU! In the past few years, I have been very fortunate to be able to collaborate with different researchers on a variety of projects that provide amazing insights on the deep learning and its practical applications.

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Index

Publications

  • Multimodal Transformer for Unaligned Multimodal Language Sequences
    Yao-Hung Hubert Tsai*, Shaojie Bai*, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency and Ruslan Salakhutdinov (*equal contribution)
    In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL) 2019.
    [BibTex] [PDF] [Code]

  • Trellis Networks for Sequence Modeling
    Shaojie Bai, J. Zico Kolter and Vladlen Koltun
    In International Conference on Learning Representations (ICLR) 2019.
    [BibTex] [PDF] [Code]

  • An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
    Shaojie Bai, J. Zico Kolter and Vladlen Koltun
    In ArXiv: 1803.01271.
    [BibTex] [PDF] [Code]

  • The Effect of Pre-ReLU Input Distribution on Deep Neural Network’s Performance
    Shaojie Bai, J. Zico Kolter
    In CMU’s Undergraduate Senior Thesis (2017).
    [BibTex] [PDF] [Slides]

Internships

  • Summer 2018: Intel Labs (Intelligent Systems Lab). Supervisor: Vladlen Koltun
  • Summer 2019: Bosch Center for AI (in both USA and Germany). Supervisor: Zico Kolter