| EA-LSTM: Evolutionary attention-based LSTM for time series prediction Y Li, Z Zhu, D Kong, H Han, Y Zhao Knowledge-Based Systems 181, 104785, 2019 | 445 | 2019 |
| Cross-modal retrieval with CNN visual features: A new baseline Y Wei, Y Zhao, C Lu, S Wei, L Liu, Z Zhu, S Yan IEEE transactions on cybernetics 47 (2), 449-460, 2016 | 432 | 2016 |
| Advancing image understanding in poor visibility environments: A collective benchmark study W Yang, Y Yuan, W Ren, J Liu, WJ Scheirer, Z Wang, T Zhang, Q Zhong, ... IEEE Transactions on Image Processing 29, 5737-5752, 2020 | 260 | 2020 |
| Multi-modal graph learning for disease prediction S Zheng, Z Zhu, Z Liu, Z Guo, Y Liu, Y Yang, Y Zhao IEEE Transactions on Medical Imaging 41 (9), 2207-2216, 2022 | 109 | 2022 |
| Multimodal fusion for video search reranking S Wei, Y Zhao, Z Zhu, N Liu IEEE Transactions on Knowledge and Data Engineering 22 (8), 1191-1199, 2009 | 108 | 2009 |
| Modality-dependent cross-media retrieval Y Wei, Y Zhao, Z Zhu, S Wei, Y Xiao, J Feng, S Yan ACM Transactions on Intelligent Systems and Technology (TIST) 7 (4), 1-13, 2016 | 97 | 2016 |
| Frame fusion for video copy detection S Wei, Y Zhao, C Zhu, C Xu, Z Zhu IEEE Transactions on Circuits and Systems for Video Technology 21 (1), 15-28, 2011 | 92 | 2011 |
| Learning heterogeneous spatial-temporal representation for bike-sharing demand prediction Y Li, Z Zhu, D Kong, M Xu, Y Zhao Proceedings of the AAAI conference on artificial intelligence 33 (01), 1004-1011, 2019 | 89 | 2019 |
| Salient region detection by fusing bottom-up and top-down features extracted from a single image H Tian, Y Fang, Y Zhao, W Lin, R Ni, Z Zhu IEEE Transactions on Image processing 23 (10), 4389-4398, 2014 | 71 | 2014 |
| PM1 steganography in JPEG images using genetic algorithm L Yu, Y Zhao, R Ni, Z Zhu Soft Computing 13, 393-400, 2009 | 68 | 2009 |
| Multi-view missing data completion L Zhang, Y Zhao, Z Zhu, D Shen, S Ji IEEE Transactions on Knowledge and Data Engineering 30 (7), 1296-1309, 2018 | 60 | 2018 |
| Margin preserving self-paced contrastive learning towards domain adaptation for medical image segmentation Z Liu, Z Zhu, S Zheng, Y Liu, J Zhou, Y Zhao IEEE Journal of Biomedical and Health Informatics 26 (2), 638-647, 2022 | 59 | 2022 |
| Distribution-induced bidirectional generative adversarial network for graph representation learning S Zheng, Z Zhu, X Zhang, Z Liu, J Cheng, Y Zhao Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 50 | 2020 |
| Edge heuristic GAN for non-uniform blind deblurring S Zheng, Z Zhu, J Cheng, Y Guo, Y Zhao IEEE Signal Processing Letters 26 (10), 1546-1550, 2019 | 44 | 2019 |
| A new robust circular Gabor based object matching by using weighted Hausdorff distance Z Zhu, M Tang, H Lu Pattern Recognition Letters 25 (4), 515-523, 2004 | 43 | 2004 |
| From night to day: GANs based low quality image enhancement Y Meng, D Kong, Z Zhu, Y Zhao Neural Processing Letters 50, 799-814, 2019 | 42 | 2019 |
| Canonical Correlation Analysis With L2,1-Norm for Multiview Data Representation M Xu, Z Zhu, X Zhang, Y Zhao, X Li IEEE transactions on cybernetics 50 (11), 4772-4782, 2019 | 42 | 2019 |
| Scale multiplication in odd Gabor transform domain for edge detection Z Zhu, H Lu, Y Zhao Journal of Visual Communication and Image Representation 18 (1), 68-80, 2007 | 36 | 2007 |
| Exploiting visual-audio-textual characteristics for automatic tv commercial block detection and segmentation N Liu, Y Zhao, Z Zhu, H Lu IEEE Transactions on Multimedia 13 (5), 961-973, 2011 | 33 | 2011 |
| TSVM-HMM: Transductive SVM based hidden Markov model for automatic image annotation Y Zhao, Y Zhao, Z Zhu Expert Systems with Applications 36 (6), 9813-9818, 2009 | 31 | 2009 |
