My main research topic in OptiML Lab was the investigation of worst-case convergence lower bounds of gradient-based optimization algorithms, which involves convergence analysis in pathological cases specifically designed for the algorithm to show its worst performance.

In MLILAB, I mainly studied and implemented visual data generation models based on 3D morphable face models and neural renderers, specifically aiming to achieve better-performing expression/identity swapping between different images or frames, such as talking head generation or face swapping.