论著

  1. 2023-01: Xu B. Contrastive Open Set Recognition[C]. AAAI-23.
  2. 2023-01: Yan Y, An J, Zhao J, et al. Hybrid optimization with unconstrained variables on partial point cloud registration[J]. Pattern Recognition, 2023, 136: 109267.
  3. 2023-03: Guo S, Lai B, Yang S, et al. Sensitivity pruner: Filter-Level compression algorithm for deep neural networks[J]. Pattern Recognition, 2023, 140: 109508.
  4. 2023-03: Han F., Jiang S., Wu J. et al. Real-time object tracking in the wild with Siamese network[J] Multimed Tools Appl (2023).
  5. 2023-03: Shao Y, Xu B, Shen F, et al. A self-organizing incremental neural network for imbalance learning[J]. Neural Computing and Applications, 2023: 1-14.
  6. 2023-03: Liu X., Shen F., Zhao J. et al. Self-supervised learning of monocular 3D geometry understanding with two- and three-view geometric constraints[J]. Vis Comput (2023).
  7. 2023-07: Yang S., Li J. et al. AdvMask: A sparse adversarial attack-based data augmentation method for image classification[J]. Pattern Recognition, 2023: 109847..
  8. 2023-09: Hui Dou, Shen F, Zhao J, et al. Understanding neural network through neuron level visualization[J].. Neural Networks, 2023, 168: 484-495.
  9. 2023-12: Sihan Song, Shen F, Zhao J, et al. RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition[C].. AAAI-24
  10. 2023-12: Yuanjie Yan, Yuxuan Bu, Shen F, Zhao J, et al. Improving the transferability of adversarial examples with separable positive and negative disturbances[J].. Neural Computing and Applications, 2023
  11. 2023-12: Suorong Yang, Suhan Guo ,Shen F, Zhao J, et al. Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study[J].. Pattern Recognition, 2023