About Me

My name is Handong Zhao. I am a senior research scientist at Adobe Research, San Jose, CA. I obtained the Ph.D. degree at Department of Electrical & Computer Engineering, Northeastern University, Boston, MA. Before joining Adobe, I have spent time at IBM Research. My current research interest includes machine learning and its applications to multimedia content analysis and marketing analytics. I was the recipient of the National Science Foundation’s Innovation Corps (I-Corps™) program award as an entrepreneurial lead.

[Internship] I am hiring self-motivated PhD student research interns (on a rolling basis), so please feel free to contact me if you are interested in working with me. My current research interests include (but not limited to) multimodal learning, domain adaptation, visual/textual entity retrieval/recognition, etc.



Full List: [Google Scholar] [DBLP]
Learning Representation for Multi-View Data Analysis
Zhengming Ding, Handong Zhao and Yun Fu
Springer, 2018, ISBN 978-3-030-00733-1
Multi-View Clustering via Deep Matrix Factorization
Handong Zhao, Zhengming Ding and Yun Fu
AAAI Conference on Artificial Intelligence (AAAI), 2017.
[paper] [code]


  1. Tutorial: Robust Multi-view Visual Learning: A Knowledge Flow Perspective
    Jointly organized with Zhengming Ding and Ming Shao
    IJCAI-2020, virtual.
  2. Tutorial: Analyze, Predict and Visualize: When RNNs Meet Adobe
    Jointly organized with Sungchul Kim, Fan Du and Sana Malik
    Adobe Tech Summit 2019, San Francisco, CA, February 2019.
  3. Tutorial: Deep Multi-View Visual Data Analytics
    Jointly organized with Zhengming Ding and Hongfu Liu
    AAAI-2019, Honolulu, Hawaii, January 2019.
  4. Tutorial: Multi-view Face Representation
    Jointly organized with Zhengming Ding and Yun Raymond Fu
    FG-2017, Washington, D.C., May 2017.