Frontiers and developments of data augmentation for image: From unlearnable to learnable.
Inf. Fusion, 2025
DCNet: exploring fine-grained vision classification for 3D point clouds.
Vis. Comput., February, 2024
Corrigendum to "FGPNet: A weakly supervised fine-grained 3D point clouds classification network" [Pattern Recognition 139 (2023) 109509].
Pattern Recognit., 2024
Partially Recentralization Softmax Loss for Vision-Language Models Robustness.
CoRR, 2024
Study on The Effect of Encoding Method in Quantum Machine Learning.
Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024
Strong generalization in quantum neural networks.
Quantum Inf. Process., December, 2023
FGPNet: A weakly supervised fine-grained 3D point clouds classification network.
Pattern Recognit., July, 2023
Distribution-restrained Softmax Loss for the Model Robustness.
Proceedings of the IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning (AISafety-SafeRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence(IJCAI2023), 2023
Towards Interpreting Computer Vision Based on Transformation Invariant Optimization.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network.
CoRR, 2021
Abnormal Crowd Motion Detection Using Double Sparse Representations.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015
Effect analysis and compensation for orbit perturbation of spacecraft using momentum management control.
Proceedings of the IEEE International Conference on Information and Automation, 2013