Bio

I am a Ph.D. student of Stanford Institute for Computational and Mathematical Engineering working with Lexing Ying and Jose Blanchet. I also work closely with Jianfeng Lu and Tatsunori Hashimoto. My research is supported by Stanford Interdisciplinary Graduate Fellowship.

My research lies in the intersection between optimal/stochastic control, statistics machine learning, applied analysis and computational physics.

More Information: https://2prime.github.io/

Contact

  • Academic
    yplu@stanford.edu
    University - Student Department: ICME Operations Position: Graduate

Additional Info

  • Mail Code: 4042

Links

All Publications

  • PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network JOURNAL OF COMPUTATIONAL PHYSICS Long, Z., Lu, Y., Dong, B. 2019; 399

    View details for DOI 10.1016/j.jcp.2019.108925

    View details for Web of Science ID 000490766100033

  • You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle Zhang, D., Zhang, T., Lu, Y., Zhu, Z., Dong, B., Wallach, H., Larochelle, H., Beygelzimer, A., d'Alche-Buc, F., Fox, E., Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2019

    View details for Web of Science ID 000534424300021

  • Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations Lu, Y., Zhong, A., Li, Q., Dong, B., Dy, J., Krause, A. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2018

    View details for Web of Science ID 000683379203041

  • PDE-Net: Learning PDEs from Data Long, Z., Lu, Y., Ma, X., Dong, B., Dy, J., Krause, A. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2018

    View details for Web of Science ID 000683379203034

  • CURE: Curvature Regularization for Missing Data Recovery SIAM JOURNAL ON IMAGING SCIENCES Dong, B., Ju, H., Lu, Y., Shi, Z. 2020; 13 (4): 2169–88

    View details for DOI 10.1137/19M1261845

    View details for Web of Science ID 000600792700013

  • Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View CLR 2020 Workshop on Integration of Deep Neural Models and Differential Equations. Lu, Y., et al 2020
  • Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration Seventh International Conference on Learning Representations(ICLR) 2019 Zhang, X., Lu, Y., Liu, J., Dong, B. 2019