Selected Papers (a.k.a. "Chef's Picks")

I have published in the fields of machine learning (NeurIPS, ICML, ICLR, AISTATS, etc.), computer vision (CVPR, ICCV, ECCV, IEEE TPAMI, IEEE TIP, etc.), and interdisciplinary data science (AAAI, IJCAI, KDD, Bioinformatics, MICCAI, IEEE TMI, IEEE TMC, etc.). Below are a few of my own favorite papers. A mark * denotes the author to be my student or mentee. The full paper list is in the CV.

Books and Chapters

I co-authored 2 books and 1 chapter:

  • Deep Learning through Sparse and Low-Rank Modeling. Elsevier (CVPR series), 2019. ISBN: 978-012-813-659-1. [Amazon Link]

    • By: Zhangyang Wang, Yun Fu, and Thomas. S. Huang,

  • Sparse Coding and Its Applications in Computer Vision. World Scientific Books, 2015. ISBN: 978-981-4725-04-0. [Amazon Link]

    • By: Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Yingzhen Yang, Ding Liu and Thomas. S. Huang,

  • Chapter 6: "Deep Learning for Font Recognition and Retrieval", in Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection. CRC Press-Tylor & Francis, ISBN: 978-135-1119-02-3. [Amazon Link]