I am a senior student at Peking University majoring in computer science and technology, with a secondary major in psychology. Curriculum Vitae.
My research interests lie in the general area of machine learning, including deep learning, optimization, statistical modeling, and interpretable models, as well as their application in computer vision, image processing, and intersection with cognitive science.
In the summer 2019, I was a visiting student at CCVL (Computational Cognition, Vision, and Learning) lab in Johns Hopkins University, supervised by Prof. Alan Yuille.
Publications / Preprints
Mingqing Xiao; Adam Kortylewski; Ruihai Wu; Siyuan Qiao; Wei Shen; and Alan Yuille. 2019. TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion. [arXiv]. In submission.
Jia Li; Mingqing Xiao; Cong Fang; Yue Dai; Chao Xu; and Zhouchen Lin. Training Deep Neural Networks by Lifted Proximal Operator Machines. In submision to IEEE Trans. Pattern Analysis and Machine Intelligence.