NEWS

  • Apr 2026 Muse Spark is now live — a meaningful early milestone for the team at Meta Superintelligence Lab!

SELECTED PAPERS

  1. Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How

    Y. You, Y. Cao, T. Chen, Z. Wang, Y. Shen

    International Conference on Learning Representations (ICLR), 2021

    Bayesian Learning to Optimize figure

  2. Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design

    Y. Cao, P. Das, V. Chenthamarakshan, P. Chen, I. Melnyk, Y. Shen

    International Conference on Machine Learning (ICML), 2021

    Fold2Seq architecture

  3. Learning to Optimize in Swarms

    Y. Cao, T. Chen, Z. Wang, Y. Shen

    Advances in Neural Information Processing Systems (NeurIPS), 2019

    Learning to Optimize in Swarms architecture

  4. TALE: Transformer-based Protein Function Annotation with Joint Sequence-Label Embedding

    Y. Cao, Y. Shen

    Bioinformatics, 37(18), 2021

    TALE architecture

ABOUT

I received my Ph.D. in Electrical Engineering from Texas A&M University and my B.S. in Applied Physics from the University of Science and Technology of China.

Full publication list and prior work available in my CV.