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)