| Visual saliency detection via sparsity pursuit J Yan, M Zhu, H Liu, Y Liu IEEE Signal Processing Letters 17 (8), 739-742, 2010 | 183 | 2010 |
| Unsupervised deep learning for optical flow estimation Z Ren, J Yan, B Ni, B Liu, X Yang, H Zha Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 180 | 2017 |
| Person re-identification with correspondence structure learning Y Shen, W Lin, J Yan, M Xu, J Wu, J Wang Proceedings of the IEEE international conference on computer vision, 3200-3208, 2015 | 168 | 2015 |
| Multi-graph matching via affinity optimization with graduated consistency regularization J Yan, M Cho, H Zha, X Yang, SM Chu IEEE transactions on pattern analysis and machine intelligence 38 (6), 1228-1242, 2015 | 123 | 2015 |
| Modeling the intensity function of point process via recurrent neural networks S Xiao, J Yan, X Yang, H Zha, S Chu Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 102 | 2017 |
| Consistency-driven alternating optimization for multigraph matching: A unified approach J Yan, J Wang, H Zha, X Yang, S Chu IEEE Transactions on Image Processing 24 (3), 994-1009, 2015 | 96 | 2015 |
| Visual saliency based on conditional entropy Y Li, Y Zhou, J Yan, Z Niu, J Yang Asian Conference on Computer Vision, 246-257, 2009 | 94 | 2009 |
| Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks X Pan, P Rijnbeek, J Yan, HB Shen BMC genomics 19 (1), 511, 2018 | 93 | 2018 |
| A short survey of recent advances in graph matching J Yan, XC Yin, W Lin, C Deng, H Zha, X Yang Proceedings of the 2016 ACM on International Conference on Multimedia …, 2016 | 91 | 2016 |
| Wasserstein learning of deep generative point process models S Xiao, M Farajtabar, X Ye, J Yan, L Song, H Zha Advances in neural information processing systems, 3247-3257, 2017 | 86 | 2017 |
| Personalized key frame recommendation X Chen, Y Zhang, Q Ai, H Xu, J Yan, Z Qin Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 77 | 2017 |
| Discriminative dictionary learning with common label alignment for cross-modal retrieval C Deng, X Tang, J Yan, W Liu, X Gao IEEE Transactions on Multimedia 18 (2), 208-218, 2015 | 72 | 2015 |
| Optimum subspace learning and error correction for tensors Y Li, J Yan, Y Zhou, J Yang European Conference on Computer Vision, 790-803, 2010 | 66 | 2010 |
| Scrdet: Towards more robust detection for small, cluttered and rotated objects X Yang, J Yang, J Yan, Y Zhang, T Zhang, Z Guo, X Sun, K Fu Proceedings of the IEEE International Conference on Computer Vision, 8232-8241, 2019 | 63 | 2019 |
| Discrete hyper-graph matching J Yan, C Zhang, H Zha, W Liu, X Yang, SM Chu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 63 | 2015 |
| IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction X Pan, YX Fan, J Yan, HB Shen BMC genomics 17 (1), 582, 2016 | 62 | 2016 |
| Joint optimization for consistent multiple graph matching J Yan, Y Tian, H Zha, X Yang, Y Zhang, SM Chu ICCV 2013, 2013 | 61 | 2013 |
| On Modeling and Predicting Individual Paper Citation Count over Time. S Xiao, J Yan, C Li, B Jin, X Wang, X Yang, SM Chu, H Zha IJCAI, 2676-2682, 2016 | 59 | 2016 |
| On estimating air pollution from photos using convolutional neural network C Zhang, J Yan, C Li, X Rui, L Liu, R Bie Proceedings of the 24th ACM international conference on Multimedia, 297-301, 2016 | 54 | 2016 |
| Deep extreme multi-label learning W Zhang, J Yan, X Wang, H Zha Proceedings of the 2018 ACM on International Conference on Multimedia …, 2018 | 53 | 2018 |
Hongyuan Zha 査宏远School of Data Science, The Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
