Qimai Li bio photo

Qimai Li

李其迈

Ph.D. Student
Department of Computing
The Hong Kong PolyU

Email Google Scholar Github

I’m a third-year Ph.D. student at the Department of Computing, the Hong Kong Polytechnic University, supervised by Dr. Wu Xiao-Ming. I obtained my B.S. degree from the College of Computer Science and Technology, Zhejiang University. My main area of interest is machine learning, both theoretical and practical.

Current Interests and Projects:

  • Machine Learning
    • Semi-supervised Learning
    • Unsupervised Learning
    • Learning from Graph-Structured Data
  • Graph Signal Processing
    • Graph Convolution
    • Graph Sampling

News

2020 [Publication] “Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification.
Guangfeng Yan, Lu Fan, Qimai Li (co-first author), Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y.S. Lam.
In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (Long Paper). 2020. [ACL-20] [PDF]

2019 [Publication] “Reconstructing Capsule Networks for Zero-shot Intent Classification.”
Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y.S. Lam.
In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing (Long Paper). 2019. [EMNLP-19] [PDF]

2019 [Publication] “Attributed Graph Clustering via Adaptive Graph Convolution.
Zhang, Xiaotong*, Han Liu*, Qimai Li (co-first author), Xiao-Ming Wu.
In Proceedings of the 28th International Joint Conference on Artificial Intelligence. 2019. [IJCAI-19] [PDF] [CODE] [PPT]

2019 [Publication] “Label Efficient Semi-Supervised Learning via Graph Filtering.
Li, Qimai, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, and Zhichao Guan.
In IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019. [CVPR-19] [PDF] [CODE] [PPT] [POSTER]

2019 [Award] I am awarded Hong Kong Ph.D. Fellowship by the Research Grants Council of Hong Kong. 250 out of 14,000+ candidates, 1.7% acceptance rate.

2018 [Publication] “Deeper insights into graph convolutional networks for semi-supervised learning.
Li, Qimai, Zhichao Han, and Xiao-Ming Wu.
In Thirty-Second AAAI Conference on Artificial Intelligence. 2018. [AAAI-18 Oral] [PDF] [CODE] [BLOG] [PPT]

2018 [Admission] I am admitted by the Department of Computing, the Hong Kong Polytechnic University, as an M.Phil. student, supervised by Dr. Wu Xiao-Ming.

2017 [Diploma] I obtained my B.S. degree from the College of Computer Science and Technology, Zhejiang University.