Xuan Chen | 陈璇

Xuan Chen | 陈璇

ECE MS Student

Carnegie Mellon University


I am a second-year Master student in the Electrical and Computer Engineering Dept. at Carnegie Mellon University. Before CMU, I obtained my bachelor degree from University of Science and Technology Beijing in 2019.

My research interests lie in interpretable artifical intelligence(AI) and reinforcement learning, machine learning(ML) security and privacy, the vibrant research field that focuses on reducing ML systems vulnerabilities and designing verifiable machine learning approaches with provable robustness. My enthusiasm is to develop trustworthy machine learning solutions as well as deploying reliable AI systems, to help end users trust the AI system and make humans empowered by machine learning.


  • Deep Learning
  • Machine Learning Security
  • Explainable Neural Network
  • Reinforcement Learning


  • MSc in Electrical and Computer Engineering, 2020

    Carnegie Mellon University

  • BSc in Electrical Engineering, 2019

    University of Science and Technology Beijing


Explanation for Deep Reinforcement Learning

Behavior-level explanations of the Deep-Q-Network trained agents.

Fast Transfer Learning for GAN Style Transfer

A novel transfer learning method for GAN style transfer which consumes fewer computation resources and training time.

Uncertainty Calibration for Neural Network Output

Trainable and Diffientiable Loss for Classification Neural Network.