| Non-negative low rank and sparse graph for semi-supervised learning L Zhuang, H Gao, Z Lin, Y Ma, X Zhang, N Yu 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2328-2335, 2012 | 386 | 2012 |
| Constructing a nonnegative low-rank and sparse graph with data-adaptive features L Zhuang, S Gao, J Tang, J Wang, Z Lin, Y Ma, N Yu IEEE Transactions on Image Processing 24 (11), 3717-3728, 2015 | 109 | 2015 |
| Label information guided graph construction for semi-supervised learning L Zhuang, Z Zhou, S Gao, J Yin, Z Lin, Y Ma IEEE Transactions on Image Processing 26 (9), 4182-4192, 2017 | 82 | 2017 |
| Single-sample face recognition with image corruption and misalignment via sparse illumination transfer L Zhuang, AY Yang, Z Zhou, S Shankar Sastry, Y Ma Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 78 | 2013 |
| Neither global nor local: Regularized patch-based representation for single sample per person face recognition S Gao, K Jia, L Zhuang, Y Ma International Journal of Computer Vision 111, 365-383, 2015 | 71 | 2015 |
| Sparse illumination learning and transfer for single-sample face recognition with image corruption and misalignment L Zhuang, TH Chan, AY Yang, SS Sastry, Y Ma International Journal of Computer Vision 114, 272-287, 2015 | 57 | 2015 |
| Layoutdm: Transformer-based diffusion model for layout generation S Chai, L Zhuang, F Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 52 | 2023 |
| Locality-preserving low-rank representation for graph construction from nonlinear manifolds L Zhuang, J Wang, Z Lin, AY Yang, Y Ma, N Yu Neurocomputing 175, 715-722, 2016 | 39 | 2016 |
| Continuous sign language recognition via reinforcement learning Z Zhang, J Pu, L Zhuang, W Zhou, H Li 2019 IEEE international conference on image processing (ICIP), 285-289, 2019 | 33 | 2019 |
| Unsupervised feature learning for RGB-D image classification IH Jhuo, S Gao, L Zhuang, DT Lee, Y Ma Asian Conference on Computer Vision, 276-289, 2014 | 31 | 2014 |
| Margin-based adversarial joint alignment domain adaptation Y Zuo, H Yao, L Zhuang, C Xu IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 2057-2067, 2021 | 29 | 2021 |
| A feature-adaptive semi-supervised framework for co-saliency detection X Zheng, ZJ Zha, L Zhuang Proceedings of the 26th ACM international conference on Multimedia, 959-966, 2018 | 29 | 2018 |
| Semi-supervised classification via low rank graph L Zhuang, H Gao, J Huang, N Yu 2011 Sixth International Conference on Image and Graphics, 511-516, 2011 | 23 | 2011 |
| Learning common and specific visual prompts for domain generalization A Li, L Zhuang, S Fan, S Wang Proceedings of the Asian Conference on Computer Vision, 4260-4275, 2022 | 20 | 2022 |
| Dynamic background subtraction using spatial-color binary patterns W Zhou, Y Liu, W Zhang, L Zhuang, N Yu 2011 Sixth International Conference on Image and Graphics, 314-319, 2011 | 19 | 2011 |
| Regularized semi-supervised latent dirichlet allocation for visual concept learning L Zhuang, H Gao, J Luo, Z Lin Neurocomputing 119, 26-32, 2013 | 17 | 2013 |
| Image classification via semi-supervised pLSA L Zhuang, L She, Y Jiang, K Tang, N Yu 2009 Fifth International Conference on Image and Graphics, 205-208, 2009 | 13 | 2009 |
| Fast salient object detection based on segments L Zhuang, K Tang, N Yu, Y Qian 2009 International Conference on Measuring Technology and Mechatronics …, 2009 | 13 | 2009 |
| Soft hindsight experience replay Q He, L Zhuang, H Li arXiv preprint arXiv:2002.02089, 2020 | 10 | 2020 |
| Neural-based mixture probabilistic query embedding for answering fol queries on knowledge graphs X Long, L Zhuang, L Aodi, S Wang, H Li Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 8 | 2022 |
Yi Ma (马毅)Director of School of Computing and Data Science, HKU; Professor of EECS, UC Berkeley在 eecs.berkeley.edu 的电子邮件经过验证
