💬 Invited Talks

• 2025.06: Extending Normalization into Riemannian Manifolds. Jiangnan University.
• 2025.03: Riemannian Deep Learning: Normalization and Classification. University of Alberta. [Slides]
• 2024.03: Naïve Riemannian Geometry: A One Hour Tour. Jiangnan University (internal talk).

📖 Courses

To obtain basic foundations for my research, I have self-studied several math courses, most of which were done during my master studies:

• Mathematical Analysis I, II, III, Real Analysis, Complex Analysis, Functional Analysis;
• Advanced Algebra I, II, Abstract Algebra I;
• Topology, Differential Geometry, Differential Manifolds, Riemannian Geometry;
• Differential Equations, Convex Optimization, Numerical Optimization…

💻 Personal Channels

• Differential Equations (1k+ viewers)
• Topology (2k+ viewers)
• Differential Geometry (1w+ viewers)
• Riemannian Geometry (2k+ viewers)
• Measure Theory