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