Items where Author is "Han, J."

Journal Article

Gu, X. and Han, J. and Shen, Q. and Angelov, P.P. (2023) Autonomous learning for fuzzy systems : a review. Artificial Intelligence Review, 56 (8). pp. 7549-7595. ISSN 0269-2821

Zhang, S. and Gao, M. and Ni, Q. and Han, J. (2023) Filter pruning with uniqueness mechanism in the frequency domain for efficient neural networks. Neurocomputing, 530. pp. 116-124. ISSN 0925-2312

Kong, Y. and Zhang, S. and Zhang, K. and Ni, Q. and Han, J. (2022) Real-time facial expression recognition based on iterative transfer learning and efficient attention network. IET Image Processing, 16 (6). pp. 1694-1708. ISSN 1751-9659

Lian, X. and Pang, Y. and Han, J. and Pan, J. (2020) Semantic segmentation with hybrid pyramid pooling and stacked pyramid structure. Neurocomputing, 410. pp. 454-467. ISSN 0925-2312

Zhang, S. and Wu, G. and Gu, Junhua and Han, J. (2020) Pruning convolutional neural networks with an attention mechanism for remote sensing image classification. Electronics (Switzerland), 9 (8): 1209. pp. 1-19. ISSN 2079-9292

Zhang, S. and Xu, X. and Pang, Y. and Han, J. (2020) Multi-layer Attention Based CNN for Target-Dependent Sentiment Classification. Neural Processing Letters, 51 (3). pp. 2089-2103. ISSN 1370-4621

Zhang, L. and Lim, C.P. and Han, J. (2019) Guest editorial: Automatic facial and bodily expression perception for human behaviour understanding. Multimedia Tools and Applications, 78 (21). 30331–30334. ISSN 1380-7501

Kong, Y. and Li, L. and Zhang, K. and Ni, Q. and Han, J. (2019) Attention module-based spatial-temporal graph convolutional networks for skeleton-based action recognition. Journal of Electronic Imaging, 28 (4): 043032. ISSN 1017-9909

Zhang, Q. and Huo, Z. and Liu, Y. and Pan, Y. and Shan, C. and Han, J. (2019) Salient object detection employing a local tree-structured low-rank representation and foreground consistency. Pattern Recognition, 92. pp. 119-134. ISSN 0031-3203

Cao, X. and Ji, Y. and Wang, L. and Ji, B. and Jiao, L. and Han, J. (2019) SAR image change detection based on deep denoising and CNN. IET Image Processing, 13 (9). pp. 1509-1515. ISSN 1751-9659

Zhang, L. and Lim, C.P. and Han, J. (2019) Complex deep learning and evolutionary computing models in computer vision. Complexity, 2019: 1671340. ISSN 1076-2787

Liu, Y. and Nie, F. and Gao, Q. and Gao, X. and Han, J. and Shao, L. (2019) Flexible unsupervised feature extraction for image classification. Neural Networks, 115. pp. 65-71. ISSN 0893-6080

Miao, Y. and Han, J. and Gao, Y. and Zhang, B. (2019) ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos. Pattern Recognition Letters, 125. pp. 113-118. ISSN 0167-8655

Shao, H. and Guo, Y. and Ding, G. and Han, J. (2019) Zero-shot multi-label learning via label factorisation. IET Computer Vision, 13 (2). pp. 117-124. ISSN 1751-9632

Liu, Y. and Shan, C. and Gao, Q. and Gao, X. and Han, J. and Cui, R. (2019) Hyperspectral image denoising via minimizing the partial sum of singular values and superpixel segmentation. Neurocomputing, 330. pp. 465-482. ISSN 0925-2312

Ji, Z. and Wang, J. and Yu, Y. and Pang, Y. and Han, J. (2019) Class-specific synthesized dictionary model for Zero-Shot Learning. Neurocomputing, 329. pp. 339-347. ISSN 0925-2312

Zhao, S. and Gholaminejad, A. and Ding, G. and Gao, Y. and Han, J. and Keutzer, K. (2019) Personalized emotion recognition by personality-aware high-order learning of physiological signals. ACM Transactions on Multimedia Computing, Communications, and Applications, 15 (1S): 14. ISSN 1551-6857

Contribution in Book/Report/Proceedings

Wang, X. and Li, C. and Mou, Y. and Zhang, B. and Han, J. and Liu, J. (2019) Taylor convolutional networks for image classification. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) :. IEEE, pp. 1271-1279. ISBN 9781728119755

Wang, X. and Zhang, B. and Li, Ce and Ji, R. and Han, J. and Liu, J. and Cao, X. (2018) Modulated Convolutional Networks. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition :. IEEE, pp. 840-848. ISBN 9781538664209