| The devil is in the channels: Mutual-channel loss for fine-grained image classification D Chang, Y Ding, J Xie, AK Bhunia, X Li, Z Ma, M Wu, J Guo, YZ Song IEEE Transactions on Image Processing 29, 4683-4695, 2020 | 228 | 2020 |
| Fine-grained visual classification via progressive multi-granularity training of jigsaw patches R Du, D Chang, AK Bhunia, J Xie, Z Ma, YZ Song, J Guo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 205 | 2020 |
| Prediction of short-term PV power output and uncertainty analysis L Liu, Y Zhao, D Chang, J Xie, Z Ma, Q Sun, H Yin, R Wennersten Applied energy 228, 700-711, 2018 | 171 | 2018 |
| The role of data analysis in the development of intelligent energy networks Z Ma, J Xie, H Li, Q Sun, Z Si, J Zhang, J Guo IEEE Network 31 (5), 88-95, 2017 | 126 | 2017 |
| Fine-grained vehicle classification with channel max pooling modified CNNs Z Ma, D Chang, J Xie, Y Ding, S Wen, X Li, Z Si, J Guo IEEE Transactions on Vehicular Technology 68 (4), 3224-3233, 2019 | 111 | 2019 |
| AP-CNN: Weakly supervised attention pyramid convolutional neural network for fine-grained visual classification Y Ding, Z Ma, S Wen, J Xie, D Chang, Z Si, M Wu, H Ling IEEE Transactions on Image Processing 30, 2826-2836, 2021 | 99 | 2021 |
| A survey on machine learning-based mobile big data analysis: Challenges and applications J Xie, Z Song, Y Li, Y Zhang, H Yu, J Zhan, Z Ma, Y Qiao, J Zhang, J Guo Wireless Communications and Mobile Computing 2018, 2018 | 44 | 2018 |
| Insights into multiple/single lower bound approximation for extended variational inference in non-Gaussian structured data modeling Z Ma, J Xie, Y Lai, J Taghia, JH Xue, J Guo IEEE Transactions on Neural Networks and Learning Systems 31 (7), 2240-2254, 2019 | 43 | 2019 |
| Progressive learning of category-consistent multi-granularity features for fine-grained visual classification R Du, J Xie, Z Ma, D Chang, YZ Song, J Guo IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9521 …, 2021 | 31 | 2021 |
| Advanced dropout: A model-free methodology for bayesian dropout optimization J Xie, Z Ma, J Lei, G Zhang, JH Xue, ZH Tan, J Guo IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 4605-4625, 2021 | 27 | 2021 |
| Deep neural network-based impacts analysis of multimodal factors on heat demand prediction Z Ma, J Xie, H Li, Q Sun, F Wallin, Z Si, J Guo IEEE Transactions on Big Data 6 (3), 594-605, 2019 | 27 | 2019 |
| Analysis of key factors in heat demand prediction with neural networks J Xie, H Li, Z Ma, Q Sun, F Wallin, Z Si, J Guo Energy Procedia 105, 2965-2970, 2017 | 27 | 2017 |
| Gpca: A probabilistic framework for gaussian process embedded channel attention J Xie, Z Ma, D Chang, G Zhang, J Guo IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8230 …, 2021 | 25 | 2021 |
| Vision transformer architecture search X Su, S You, J Xie, M Zheng, F Wang, C Qian, C Zhang, X Wang, C Xu arXiv preprint arXiv:2106.13700 1 (2), 3, 2021 | 22 | 2021 |
| Shoe-print image retrieval with multi-part weighted CNN Z Ma, Y Ding, S Wen, J Xie, Y Jin, Z Si, H Wang IEEE Access 7, 59728-59736, 2019 | 22 | 2019 |
| Deep learning-based computer vision for surveillance in its: Evaluation of state-of-the-art methods J Xie, Y Zheng, R Du, W Xiong, Y Cao, Z Ma, D Cao, J Guo IEEE Transactions on Vehicular Technology 70 (4), 3027-3042, 2021 | 20 | 2021 |
| Grad-CAM guided channel-spatial attention module for fine-grained visual classification S Xu, D Chang, J Xie, Z Ma 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | 15 | 2021 |
| Learning calibrated class centers for few-shot classification by pair-wise similarity Y Guo, R Du, X Li, J Xie, Z Ma, Y Dong IEEE Transactions on Image Processing 31, 4543-4555, 2022 | 11 | 2022 |
| Unsupervised person re-identification via simultaneous clustering and mask prediction J Yin, S Zhang, J Xie, Z Ma, J Guo Pattern Recognition 126, 108568, 2022 | 10 | 2022 |
| Dirichlet process mixture of generalized inverted dirichlet distributions for positive vector data with extended variational inference Z Ma, Y Lai, J Xie, D Meng, WB Kleijn, J Guo, J Yu IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6089-6102, 2021 | 10 | 2021 |
Zhanyu MaBeijing University of Posts and Telecommunications在 bupt.edu.cn 的电子邮件经过验证
