I received my Ph.D. degree from National University of Singapore working with Dr. Zhao. Currently I am a postdoc researcher at the University of Minnesota continuing my research on attention experiments and data-driven methods for modeling attention and atypical attention. My research aims to understand the neural mechanism of selective visual attention and build attentional systems to predict where humans look at in natural environment.

Broadly, I am interested in the following questions: When encountering unfamiliar instances, how does a machine develop foundational structures and imitate a fast learning procedure as humans do? How does a machine perceive the real world by leveraging multiple modalities without a large amount of supervision? I am a Ph.D. student working with Dr. Zhao on research related to few-shot learning problems from theory to application with the rapid development of deep neural network and advanced mathematical tools. I am interested in applications to vision and language with the help of probabilistic generative models, meta-learning and convex optimization. For more information, please see my website.

I am currently a Ph.D. student in the Computer Science program with a research focus in computer vision and machine learning, as well as a broader interest in transfer learning. I obtained my B.Sc. degree in Computer Science and Mathematics from the University of Minnesota in 2019.

I am currently a Ph.D. student working on visual relation detection with external knowledge. I'm also interested in problems of graph data, such as graph convolution and representation learning. I obtained my B.Sc. and M.Phil. degrees in Computer Science from the Hong Kong University of Science and Technology.

I am currently a second year Master student at the University of Minnesota. I studied computer science and chemistry during my undergraduate studies also at the University of Minnesota. I am highly interested in computer vision, deep learning, and currently working on understanding and developing attention models for various applications.

Hi there! I am currently a Master student at the University of Minnesota. I obtained my Bachelor degree in Computer Science and Mathematics here, and joined Dr. Zhao's lab as a senior. I am broadly interested in how to computationally model the many things that people do every day with such ease. More specifically, I am interested in understanding how to model language and vision through deep neural networks.

I am a Data Science Master student at the University of Minnesota. I obtained my B.A. in Applied Mathematics with minors in Computer Science and Mathematical Statistics at the University of St. Thomas. I am overall interested in applying machine learning, data mining, and big data models to help create social good impact in areas such as health, economics, politics, sociology, or law. My growing curiosity in the health field has led me to Dr. Zhao's lab, whose research affects me personally because I have Autism Spectrum Disorder (ASD). Specifically, a mild form of Pervasive Developmental Disorder - Not Otherwise Specified (PDD-NOS), so it's a privilege and honor to help contribute to this lab.

I am currently a junior at the University of Minnesota working on my B.S. in Computer Science. I have an interest in computer vision, natural language processing, as well as other machine learning applications. I am also interested in the overlap between neuroscience and computer science. One day I'd like to participate in brain-computer interface research.