Multiple papers accepted and published, such as 'Modeling Human Brain Connectomes using Structured Neural Networks' accepted at NeurIPS 2019 Workshop; 'On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning' accepted at GlobalSIP 2019. Also, awarded All University Doctoral Prize.
Research Experience
Was a postdoc researcher at Lawrence Livermore National Lab, and then joined Ant Financial.
Education
Received Ph.D. degree in the EECS department at Syracuse University, under the guidance of advisor Prof. Pramod K. Varshney.
Background
Research interests primarily include human decision making/crowdsourcing, optimization for machine learning, and adversarial deep learning.