talks

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

• Principles of Foundation Models
  Talk at the CILVR seminar at CDS, New York University (Feb 2025)
  Talk at Boston University (Jan 2025)
  Talk at MINDS Jr Seminar, John Hopkins University, US (Dec 2024)
  

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

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

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

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