Hong Liu

alt text 

PhD Student,
Compuster Science,
Stanford University
E-mail: hliu99 [@] stanford [DOT] edu
Google Scholar: https:scholar.google.com/citations?user=BUc2uq0AAAAJ

About me

I am a PhD student at Stanford University. I'm fortunate to work with Prof. Mingsheng Long and Prof. Tengyu Ma.

My current interests include transfer learning and deep learning. I have also been working on domain adaptation algorithms and their applications.
If you are also interested in this, feel free to contact me.


Conferennce Proceedings

  1. Learning to Adapt to Evolving Domains
    Hong Liu, Mingsheng Long, Jianmin Wang, Yu Wang
    NeurIPS 2020

  2. Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers
    Hong Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan
    ICML 2019, (Long Talk)

  3. Separate to Adapt: Open Set Domain Adaptation via Progressive Separation
    Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang
    CVPR 2019


  1. Cycle Self-Training for Domain Adaptation
    Hong Liu, Jianmin Wang, Mingsheng Long
    arxiv preprint

  2. Towards Understanding the Transferability of Deep Feature Representations
    Hong Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan
    arxiv preprint

  3. Meta-learning Transferable Representations with a Single Target Domain
    Hong Liu, Jeff Z. HaoChen, Colin Wei, Tengyu Ma
    arxiv preprint

Selected Awards and Honors

  • Top Grade Schlarship, The best award for undergrads in Tsinghua

  • National Scholarship, awarded for academic excellence, Ministry of Education

Professional Services


  • Journal: TPAMI, and TIP

  • Conference: ICML, NeurIPS, ICLR, and AAAI