talks

I gave themed talks on our research works. Here are some examples.

  • Principles of Foundation Models
    Talk at MINDS Jr Seminar, John Hopkins University, US (December 2024)

  • Towards Test-time Self-supervised Learning
    Guest Lecture (slides), CSCI 3370: Deep Learning, Boston College, US (November 2024)

  • Reimagining Self-supervised Learning with Context
    Talk at MIT ML Tea Seminar, US (October 2024)
    Talk at Princeton University, US (August 2024)

  • Building Safe Foundation Models from Principled Understanding
    Talk at New York University Tandon, US (September 2024)

  • Non-negative Contrastive Learning
    Talk at Cohere AI, Virtual (June 2024)
    Talk at ML Tea, MIT, US (April 2024)

  • Self-supervised Learning of Identifiable Features
    Talk at TU Munich, Germany (May 2024)

  • Understanding and Applying Self-supervised Learning via Graph
    Talk at Deep Potential, China (2023)
    Talk at KAIST, Virtual (2022)

  • Towards Truly Unlearnable Examples for Data Privacy
    Talk at Chinese Academy of Sciences, China (2022)

  • Reparameterized Sampling for GANs
    Talk at Beijing Academy of Artificial Intelligence (BAAI), China (2021)
    Plenary Talk at ECML-PKDD 2021, Virtual (2021)