Jing Huang

About Me

I’m a Master student at the Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University (SJTU), China. I received my B.S. degree in Automation, SJTU in 2019. My research interests include graph learning and graph-related fileds, like skeleton-based human pose estimation, semi- or un-supervised learning, recommendation system and relation extraction.

I’m currently a full-time R&D for WeChat Group, Tencent.

Research Interests

• Graph Representation Learning: hypergraph learning, graph attack
• Machine Learning: indefinite kernel learning, kernel acceleration, model compression, binarized/ quantized model

Publication

• UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
  Jing Huang, Jie Yang
  International Joint Conferences on Artificial Intelligence. IJCAI 2021.
  [PDF] [Code]

• Residual Enhanced Multi-Hypergraph Neural Network
  Jing Huang, Xiaolin Huang, Jie Yang
  IEEE International Conference on Image Processing. ICIP 2021.
  [PDF] [Code]

HONORS & AWARDS

• China National Scholarship (top 2%), 2021
• Scholarships for Postgraduate Students (top 30%), 2019, 2020
• Huawei Special Scholarship (top 10%), 2017

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