Junqi Tang

About

Junqi Tang is an Assistant Professor at the University of Birmingham, UK. His research primarily focuses on stochastic optimization, particularly in large-scale inverse problems, as evidenced by his recent publications. His work includes the development of advanced algorithms and methodologies, such as the Condat–Vũ Algorithm and the Normalizing Flow-Based Unadjusted Langevin Algorithm. Tang's contributions significantly enhance the understanding and application of optimization techniques in the field of imaging inverse problems.