I am a final-year PhD student in Electrical and Computer Engineering, Carnegie Mellon University, supervised by Prof. Vijayakumar Bhagavatula. I am fortunate to work closely with Dr. Zhiding Yu in my PhD program. My current interests lie in deep learning, computer vision and transfer learning.

In 2019 summer, I work with Dr. Xiaodong Yang, Dr. Zhiding Yu and Dr. Jan Kautz as an intern in NVIDIA Research. In 2018 summer, I worked with Dr. Jinsong Wang during my internship at General Motors R&D. From Sep. 2015 - Aug. 2016, I worked with Prof. Gustavo K. Rohde in the Center for Bioimage Informatics, CMU.

Currently I am seeking a full-time position in computer vision and machine learning. Feel free to contact me!


  • Deep Learning
  • Computer Vision
  • Transfer Learning


  • PhD in Electrical and Computer Engineering, 2015 - 2020

    Carnegie Mellon University

  • M.Sc. in Automation, 2012 - 2015

    Chongqing University

  • B.Sc. in Mathematics, 2007 - 2011

    Chongqing University


Selected Publications

(2019). Confidence Regularized Self-Training. ICCV 2019, Oral Presentation.

PDF Code Poster Slides Bibtex

(2019). Conservative Wasserstein Training for Pose Estimation. ICCV 2019.

PDF Bibtex

(2019). Unsupervised Domain Adaptation via Calibrating Uncertainties. CVPRW 2019.

PDF Bibtex

(2018). Simultaneous Edge Alignment and Learning. ECCV 2018.

PDF Code Project Poster Slides Video Bibtex

(2018). Ordinal Regression with Neuron Stick-breaking for Medical Diagnosis. ECCVW 2018.

PDF Bibtex

(2016). Sliced Wasserstein Kernels for Probability Distributions. CVPR 2016.

PDF Code Bibtex


Journal/Conference Reviewer: CVPR, ICCV, ECCV, TIP, AAAI, IJCAI, …