Short Bio

WSFG 

Latest News

  • 08/2020: 1 paper on imbalanced deep learning accepted by ICCV 2021.

  • 07/2020: 1 paper on incremental learning accepted by ACM MM 2021.

  • 07/2020: 1 arXiv paper on meta-learning.

  • 06/2020: 1 arXiv paper on model-agnostic meta-learning.

  • 06/2020: 1 arXiv paper on contextualizing meta-learning.

  • 03/2021: 1 (oral) paper accepted by CVPR 2021 on openset recognition.

  • 12/2020: 3 papers accepted by AAAI 2021.

  • 11/2020: 1 arXiv paper on unspervised meta-learning.

  • 09/2020: 1 paper accepted by IJCV on generalized few-shot learning.

  • 04/2020: 1 paper accepted by TPAMI on heterogeneous few-shot model reuse.

  • 03/2020: 2 papers (1 oral and 1 poster) accepted by CVPR 2020.

  • 02/2020: 1 arXiv paper on a novel perspective of meta-learning.

  • 01/2020: 1 arXiv paper on imbalanced deep learning.

  • 10/2019: 1 paper accepted by TKDE on multiple instance learning w/ novel class.

  • 09/2019: Invited talk at a CCF-Big Data workshop (Wuhan, China) on "Multi-Metric Learning for Heterogeneous Data".

  • 09/2019: One manuscript with Xiang-Rong Sheng and De-Chuan Zhan is accepted by Machine Learning.

  • 07/2019: Joining the Nanjing University (School of Artificial Intelligence) as an Assistant Researcher.

  • 05/2019: Successfully defending thesis on "Metric Learning for Open Environment".