About Me

My name is Handong Zhao. I am a 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 worked 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.

News

Selected Publications

Full List: [DBLP] [Google Scholar]
  • Unpaired Image Captioning via Scene Graph Alignments
  • Jiuxiang Gu, Shafiq Joty, Jianfei Cai, Handong Zhao, Xu Yang and Gang Wang
  • ICCV 2019. [paper]
  • Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
  • Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim and Vipin Kumar
  • KDD 2019
  • Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Units
  • Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao and Yun Fu
  • KDD 2019 (Oral Presentation)
  • Scene Graph Generation with External Knowledge and Image Reconstruction
  • Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai and Mingyang Ling
  • CVPR 2019 [paper]
  • Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior
  • Donghyun Kim, Sungchul Kim, Handong Zhao, Ryan Rossi, Sheng Li and Eunyee Koh
  • WSDM 2019 [paper]

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

Teaching/Tutorial

  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.