Download Resume in PDF format: [Chinese version] [English version].
I am looking for a job as
- Machine Learning Algorithm Engineer,
- Machine Learning Framework Developer,
- Research Scientist,
- Any other AI/ML/CS related jobs,
- Software Development Engineer.
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.
2017 - 2021
The Hong Kong Polytechnic University
Ph.D. in Computer Science
2013 - 2017
B.E. in Computer Science
Published 7 papers in top AI conferences, 3 as first author, 2 as co-first author, 800+ citations.
Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu. “Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs.” In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ‘21). 2021. [KDD-21] [PDF] [CODE]
Han Liu, Xiaotong Zhang, Xianchao Zhang, Qimai Li, Xiao-Ming Wu. “RPC: Representative possible world based consistent clustering algorithm for uncertain dat”, Computer Communications, Volume 176, 2021, Pages 128-137, ISSN 0140-3664.
Jiaxin Chen, Xiao-Ming Wu, Yanke Li, Qimai Li, Li-Ming Zhan, Fu-lai Chung. “A Closer Look at the Training Strategy for Modern Meta-Learning.” in Proceedings of the Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS-20).
Guangfeng Yan, Lu Fan, Qimai Li (co-first author), Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y.S. Lam. “Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification.” In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (Long Paper). 2020. [ACL-20] [PDF] [CODE]
Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y.S. Lam. “Reconstructing Capsule Networks for Zero-shot Intent Classification.” In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing (Long Paper). 2019. [EMNLP-19] [PDF]
Xiaotong Zhang, Han Liu, Qimai Li (co-first author) and Xiao-Ming Wu. “Attributed Graph Clustering via Adaptive Graph Convolution.” In Proceedings of the 28th International Joint Conference on Artificial Intelligence. 2019. [IJCAI-19] [PDF] [CODE] [PPT]
Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, and Zhichao Guan. “Label Efficient Semi-Supervised Learning via Graph Filtering.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019. [CVPR-19] [PDF] [CODE] [PPT] [POSTER]
Yong Wang, Xiao-Ming Wu, Qimai Li, Jiatao Gu, Wangmeng Xiang, Lei Zhang, and Victor OK Li. “Large Margin Meta-Learning for Few-Shot Classification.” Workshop on Meta-Learning (MetaLearn 2018) at NeurIPS. 2018.
Qimai Li, Zhichao Han, and Xiao-Ming Wu. “Deeper insights into graph convolutional networks for semi-supervised learning.” Thirty-Second AAAI Conference on Artificial Intelligence. 2018. Selected as one of the Most Influential AAAI Papers by Paper Digest (673 Citations as of June 29, 2021). [AAAI-18 Oral] [PDF] [CODE] [BLOG] [PPT]
One of the Most Influential AAAI Papers,
10 out of 933 accepted papers in 2018, top 1.1%,
selected by Paper Digest,
Hong Kong Ph.D. Fellowship,
250 out of 14,000+, 1.7% acceptance rate,
the Research Grants Council of Hong Kong.
COMP Scholarship for HK PhD Fellowship Students,
the Department of Computing,
the Hong Kong Polytechnic University.
the Hong Kong Polytechnic University.
Second-Class Prize in HUAWEI Code Craft,
Huawei Technologies Co., Ltd.
2016 Honorable Mention in Mathematical Contest in Modeling,
the Consortium for Mathematics and Its Applications.
2016 Excellent Group in Student Research Training Program,
2015,2016 Scholarship for Outstanding Merits/Students,