| Exploratory undersampling for class-imbalance learning XY Liu, J Wu, ZH Zhou IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 3219 | 2009 |
| Ensembling neural networks: many could be better than all ZH Zhou, J Wu, W Tang Artificial intelligence 137 (1-2), 239-263, 2002 | 2775 | 2002 |
| Thinet: A filter level pruning method for deep neural network compression JH Luo, J Wu, W Lin 2017 IEEE International Conference on Computer Vision (ICCV), 5068-5076, 2017 | 2331 | 2017 |
| Introduction to convolutional neural networks J Wu National Key Lab for Novel Software Technology. Nanjing University. China, 2017 | 1036 | 2017 |
| CENTRIST: A visual descriptor for scene categorization J Wu, JM Rehg Pattern Analysis and Machine Intelligence, IEEE Transactions on 33 (8), 1489 …, 2011 | 934 | 2011 |
| Deep Label Distribution Learning with Label Ambiguity BB Gao, C Xing, CW Xie, J Wu, X Geng IEEE Transactions on Image Processing, 2017 | 539 | 2017 |
| Probabilistic end-to-end noise correction for learning with noisy labels K Yi, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 538 | 2019 |
| Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization XS Wei, CW Xie, J Wu, C Shen Pattern Recognition 76, 704-714, 2018 | 513* | 2018 |
| Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval ZHZ Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu IEEE Transactions on Image Processing, 2017 | 504 | 2017 |
| A scalable approach to activity recognition based on object use J Wu, A Osuntogun, T Choudhury, M Philipose, JM Rehg IEEE 11th International Conference on Computer Vision, 2007., 1-8, 2007 | 494 | 2007 |
| Fine-Grained Image Analysis with Deep Learning: A Survey XS Wei, YZ Song, O Mac Aodha, J Wu, Y Peng, J Tang, J Yang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 460* | 2021 |
| Actionformer: Localizing moments of actions with transformers CL Zhang, J Wu, Y Li European Conference on Computer Vision, 492-510, 2022 | 422 | 2022 |
| Minimal gated unit for recurrent neural networks GB Zhou, J Wu, CL Zhang, ZH Zhou International Journal of Automation and Computing 13 (3), 226-234, 2016 | 408 | 2016 |
| Fast asymmetric learning for cascade face detection J Wu, SC Brubaker, MD Mullin, JM Rehg Pattern Analysis and Machine Intelligence, IEEE Transactions on 30 (3), 369-382, 2008 | 364 | 2008 |
| Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel J Wu, JM Rehg Computer Vision, 2009 IEEE 12th International Conference on, 630-637, 2009 | 328 | 2009 |
| Thinet: pruning cnn filters for a thinner net JH Luo, H Zhang, HY Zhou, CW Xie, J Wu, W Lin IEEE transactions on pattern analysis and machine intelligence 41 (10), 2525 …, 2018 | 291 | 2018 |
| Face recognition with one training image per person J Wu, ZH Zhou Pattern Recognition Letters 23 (14), 1711-1719, 2002 | 282 | 2002 |
| Autopruner: An end-to-end trainable filter pruning method for efficient deep model inference JH Luo, J Wu Pattern Recognition 107, 107461, 2020 | 249 | 2020 |
| Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation Y Zhang, XS Wei, J Wu, J Cai, J Lu, VA Nguyen, MN Do IEEE Transactions on Image Processing 25 (4), 1713-1725, 2016 | 241* | 2016 |
| An Entropy-based Pruning Method for CNN Compression JH Luo, J Wu arXiv preprint arXiv:1706.05791, 2017 | 239 | 2017 |
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn