Pruning from scratch Y Wang, X Zhang, L Xie, J Zhou, H Su, B Zhang, X Hu Proceedings of the AAAI conference on artificial intelligence 34 (07), 12273 …, 2020 | 193 | 2020 |
Interpret neural networks by identifying critical data routing paths Y Wang, H Su, B Zhang, X Hu proceedings of the IEEE conference on computer vision and pattern …, 2018 | 104 | 2018 |
A hierarchical recurrent neural network for symbolic melody generation J Wu, C Hu, Y Wang, X Hu, J Zhu IEEE transactions on cybernetics 50 (6), 2749-2757, 2019 | 101 | 2019 |
Convolution neural networks with two pathways for image style recognition T Sun, Y Wang, J Yang, X Hu IEEE Transactions on Image Processing 26 (9), 4102-4113, 2017 | 70 | 2017 |
Dynamic network pruning with interpretable layerwise channel selection Y Wang, X Zhang, X Hu, B Zhang, H Su Proceedings of the AAAI conference on artificial intelligence 34 (04), 6299-6306, 2020 | 47 | 2020 |
Learning reliable visual saliency for model explanations Y Wang, H Su, B Zhang, X Hu IEEE Transactions on Multimedia 22 (7), 1796-1807, 2019 | 33 | 2019 |
Deep learning predicts correlation between a functional signature of higher visual areas and sparse firing of neurons C Zhuang, Y Wang, D Yamins, X Hu Frontiers in computational neuroscience 11, 100, 2017 | 24 | 2017 |
Data-free adversarial perturbations for practical black-box attack Z Huan, Y Wang, X Zhang, L Shang, C Fu, J Zhou Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 13 | 2020 |
Interpret neural networks by extracting critical subnetworks Y Wang, H Su, B Zhang, X Hu IEEE Transactions on Image Processing 29, 6707-6720, 2020 | 8 | 2020 |
Learning to select instance: Simultaneous transfer learning and clustering Z Huan, Y Wang, Y He, X Zhang, C Fu, W Wu, J Zhou, K Ding, L Zhang, ... Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 3 | 2021 |