HKU HKU Dept of Statistics & Actuarial Science, HKU
Wenming CAO

Postdoctoral Fellow

Master (HUST); PhD (CityU)


Rm 206, Run Run Shaw Building



(852) 3917-8154


(852) 2858-9041

   Research Interests

Machine learning, pattern recognition and domain adaptation.

   Selected Publications
  1. Wenming Cao, Si Wu, Zhiwen Yu, Hau-San Wong*: Exploring correlations among tasks, clusters, and features for multi-task clustering, IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(2), 355-368.

  2. Wenming Cao, Sheng Qian, Si Wu, Hau-San Wong*: Unsupervised multi-task learning with hierarchical data structure, Pattern Recognition, 2019, 86(1), 248-264.

  3. Yuhong Xu, Zhiwen Yu*, Wenming Cao, C.L. Philip Chen, Jane J. You: Adaptive classifier ensemble method based on spatial perception for high-dimensional data classification, IEEE Transactions on Knowledge and Data Engineering, to appear.

  4. Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong*: Simplified unsupervised image translation for semantic segmentation adaptation. Pattern Recognition, to appear.

  5. Rui Li, Qianfen Jiao, Wenming Cao, Si Wu, Hau-San Wong*: Model Adaptation: unsupervised domain adaptation without source data, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  6. Si Wu*, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong: Improving domain-specific classification by collaborative learning with adaptive networks, Thirty-third AAAI Conference on Artificial Intelligence (AAAI), 2019.

  7. Sheng Qian, Guanyue Li, Wenming Cao, Cheng Liu, Si Wu* and Hau-San Wong: Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations, 2019 International Joint Conference on Artificial Intelligence (IJCAI).