I’m a first year Ph.D. student in Shanghai Jiao Tong University under the supervision of Prof. Cewu Lu, where I also received B.S. in computer science. My research interests are machine learning and computer vision, especially human activity understanding and reasoning.


  • [2023-05] Please check our latest work on dataset distillation arXiv.
  • [2022-12] We release the project OCL! The code and data will comming soon.
  • [2022-12] HAKE is accepted by TPAMI.
  • [2022-07] One paper is accepted to ECCV 2022. (DLSA).
  • [2021-10] An extention work of CVPR 2020 paper SymNet is accepted by TPAMI.
  • [2020-06] The code of CVPR 2020 papers are released. (SymNet and PaStaNet)
  • [2020-02] Two coauthored papers are accepted to CVPR 2020. (SymNet and PaStaNet)
  • [2019-06] Our project HAKE: Human Activity Knowledge Engine is officially released.


Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection
Yue Xu, Yong-Lu Li, Kaitong Cui, Ziyu Wang, Cewu Lu, Yu-Wing Tai, Chi-Keung Tang
arXiv preprint Paper

Beyond Object Recognition: A New Benchmark towards Object Concept Learning
Yong-Lu Li, Yue Xu, Xinyu Xu, Xiaohan Mao, Yuan Yao, Siqi Liu, Cewu Lu
arXiv preprint Homepage Paper

Hake: a knowledge engine foundation for human activity understanding
Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu, Yizhuo Li, Zuoyu Qiu, Liang Xu, Yue Xu, Hao-Shu Fang, Cewu Lu
TPAMI Homepage Paper

Constructing Balance from Imbalance for Long-tailed Image Recognition
Yue Xu*, Yong-Lu Li*, Jiefeng Li, Cewu Lu
ECCV 2022 Paper Code

Learning Single/Multi-Attribute of Object with Symmetry and Group
Yong-Lu Li, Yue Xu, Xinyu Xu, Xiaohan Mao, Cewu Lu
TPAMI (Extention of CVPR20 work SymNet) Paper Code

Symmetry and Group in Attribute-Object Compositions
Yong-Lu Li, Yue Xu, Xiaohan Mao, Cewu Lu
CVPR 2020 Paper Code

PaStaNet: Toward Human Activity Knowledge Engine
Yong-Lu Li, Liang Xu, Xinpeng Liu, Xijie Huang, Yue Xu, Shiyi Wang, Hao-Shu Fang, Ze Ma, Mingyang Chen, Cewu Lu
CVPR 2020 Paper Code