2022

• DLFormer: Discrete Latent Transformer for Video Inpainting
  Jingjing Ren, Qingqing Zheng#, Yuanyuan Zhao, Xuemiao Xu, Chen Li
  Conference on Computer Vision and Pattern Recognition (CVPR), 2022

before 2022

• Dynamic Joint Domain Adaptation Network for Motor Imagery Classification
  Xiaolin Hong, Qingqing Zheng, Luyan Liu, Peiyin Chen, Kai Ma, Zhongke Gao, Yefeng Zheng
  IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2021
  [PDF]

• Deep Representation-based Domain Adaptation for Nonstationary EEG Classification
  He Zhao, Qingqing Zheng#, Kai Ma, Huiqi Li, Yefeng Zheng IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020
  [PDF] [Code]

• Multitask Feature Learning Meets Robust Tensor Decomposition for EEG Classification
  Qingqing Zheng, Yi Wang, Pheng Ann Heng
  IEEE Transactions on Cybernetics, 2019
  [PDF]

• Online Subspace Learning from Gradient Orientations for Robust Image Alignment
  Qingqing Zheng, Yi Wang, Pheng Ann Heng
  IEEE Transactions on Image Processing (TIP), 2019
  [PDF]

• Sparse Support Matrix Machine
  Qingqing Zheng, Fengyuan Zhu, Jing Qin, Badong Chen, Pheng-Ann Heng
  Pattern Recognition, 2018
  [PDF] [Code]

• Multiclass Support Matrix Machine for Single Trial EEG Classification
  Qingqing Zheng, Fengyuan Zhu, Jing Qin, Pheng-Ann Heng
  Neurocomputing, 2018
  [PDF] [Code]

• Robust Support Matrix Machine for Single Trial EEG Classification
  Qingqing Zheng, Fengyuan Zhu, Pheng-Ann Heng
  IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2018
  [PDF] [Code]

• Online Robust Projective Dictionary Learning: Shape Modeling for MR-TRUS Registration
  Yi Wang, Qingqing Zheng*, Pheng Ann Heng
  IEEE Transactions on Medical Imaging (TMI), 2017
  [PDF]

• Online Robust Image Alignment via Subspace Learning From Gradient Orientations
  Qingqing Zheng, Yi Wang, Pheng-Ann Heng
  The IEEE International Conference on Computer Vision (ICCV), 2017
  [PDF]