Math Colloquium: Prof. Zhu Yifei on Topological Analysis of Visual and Auditory Signals
Lecture Details
- Title: Topological analysis of visual and auditory signals
- Time: May 27, 2026 (Tuesday), 3:00 PM
- Venue: Room D-209, East Coast Campus
- Speaker: Zhu Yifei, Assistant Professor (Southern University of Science and Technology)
- Invited by: Associate Professor Wu Enxin
Abstract
Topological data analysis is an emerging field that investigates and exploits the shape of data. Its more recent extension to topological deep learning integrates shape characteristics and machine learning methods in diverse ways. This talk will give an overview of Carlsson and colleagues’ seminal work on topological characterization of visual signals, from natural image statistics, to neuronal population activity in visual cortex, to topology of convolutional neural networks that learn image and video data. It will then introduce analogous and contrasting approaches to speech signals, in terms of feature extraction and deep learning architecture.
Speaker Bio
Zhu Yifei received his PhD from the University of Minnesota in 2013 and was a Visiting Assistant Professor at Northwestern University from 2013 to 2016. His research focuses on the interplay of algebraic topology with algebraic geometry and number theory, particularly moduli spaces in spectral algebraic geometry in the context of the Langlands program, as well as applications of topological and geometric methods in interdisciplinary research including condensed matter physics, materials science, time series analysis, human-computer interaction, and systems science.
Source: STU OA Notice (Institute of Mathematics)