DeepThink Lab

• ESSAI’26 (with Sam Buchanan, Yi Ma, Zhihui Zhu): Learning Deep Low-Dimensional Models from High-Dimensional Data: From Theory to Practice
• ICASSP’26 (with Yuxin Chen, Yuting Wei, Liyue Shen): Harnessing Low Dimensionality in Diffusion Models: From Theory to Practice

• Generalization of Diffusion Models Arises with a Balanced Representation Space (ICLR’26)
• AlphaFlow: Understanding and Improving MeanFlow Models (ICLR’26)
• Unlearning Isn’t Invisible: Detecting Unlearning Traces in LLMs from Model Outputs (ICLR’26)
• Understanding How Nonlinear Layers Create Linearly Separable Features for Low-Dimensional Data (AISTATS’26)
• Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective (AISTATS’26)
• Analyzing and Improving Model Collapse in Rectified Flow Models (CPAL’26)

Prof. Qing Qu received the 1938E Award in UM College of Engineering , a prestigious CoE award for an assistant professor; awarded annually to one faculty member for excellence in teaching, mentoring, and service.