| Hybrid deep neural network scheduler for job-shop problem based on convolution two-dimensional transformation Z Zang, W Wang, Y Song, L Lu, W Li, Y Wang, Y Zhao Computational intelligence and neuroscience 2019, 2019 | 56 | 2019 |
| Precise control and prediction of the greenhouse growth environment of Dendrobium candidum JT Ding, HY Tu, ZL Zang, M Huang, SJ Zhou Computers and electronics in agriculture 151, 453-459, 2018 | 45 | 2018 |
| Artificial intelligence defines protein-based classification of thyroid nodules Y Sun, S Selvarajan, Z Zang, W Liu, Y Zhu, H Zhang, W Chen, H Chen, ... Cell discovery 8 (1), 85, 2022 | 38* | 2022 |
| Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements K Zhou, Y Sun, L Li, Z Zang, J Wang, J Li, J Liang, F Zhang, Q Zhang, ... Computational and structural biotechnology journal 19, 3640-3649, 2021 | 36 | 2021 |
| Architecture-Agnostic Masked Image Modeling--From ViT back to CNN S Li, D Wu, F Wu, Z Zang, S Li arXiv preprint arXiv:2205.13943, 2022 | 24 | 2022 |
| Two-dimensional discrete feature based spatial attention CapsNet For sEMG signal recognition G Chen, W Wang, Z Wang, H Liu, Z Zang, W Li Applied Intelligence 50, 3503-3520, 2020 | 23 | 2020 |
| Dlme: Deep local-flatness manifold embedding Z Zang, S Li, D Wu, G Wang, K Wang, L Shang, B Sun, H Li, SZ Li European Conference on Computer Vision (ECCV22), 576-592, 2022 | 21 | 2022 |
| Markov-lipschitz deep learning SZ Li, Z Zang, L Wu arXiv preprint arXiv:2006.08256, 2020 | 16 | 2020 |
| DMT-EV: An Explainable Deep Network for Dimension Reduction Z Zang, S Cheng, H Xia, L Li, Y Sun, Y Xu, L Shang, B Sun, SZ Li IEEE Transactions on Visualization and Computer Graphics 30 (3), 1710-1727, 2022 | 12 | 2022 |
| Deep manifold embedding of attributed graphs Z Zang, S Li, D Wu, J Guo, Y Xu, SZ Li Neurocomputing 514, 83-93, 2022 | 11* | 2022 |
| Align yourself: Self-supervised pre-training for fine-grained recognition via saliency alignment SL Di Wu, Z Zang, K Wang, L Shang, B Sun, H Li, SZ Li arXiv preprint arXiv:2106.15788 2 (7), 8, 2021 | 11 | 2021 |
| Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks Z Liu, Y Luo, Z Zang, SZ Li ACM International Conference on Web Search and Data Mining, WSDM2022, 591-598, 2022 | 10 | 2022 |
| Machine learning for predictive deployment of UAVs with multiple access L Lu, Z Yang, M Chen, Z Zang, M Shikh-Bahaei arXiv preprint arXiv:2003.02631, 2020 | 10 | 2020 |
| Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation L Wu, Z Liu, J Xia, Z Zang, S Li, SZ Li IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 139-147, 2022 | 8 | 2022 |
| Phenotype classification using proteome data in a data-independent acquisition tensor format F Zhang, S Yu, L Wu, Z Zang, X Yi, J Zhu, C Lu, P Sun, Y Sun, ... Journal of the American Society for Mass Spectrometry 31 (11), 2296-2304, 2020 | 8* | 2020 |
| Invertible manifold learning for dimension reduction S Li, H Lin, Z Zang, L Wu, J Xia, SZ Li ECML PKDD 21 (13–17), 713-728, 2021 | 7 | 2021 |
| Deep clustering and representation learning that preserves geometric structures L Wu, Z Liu, Z Zang, J Xia, S Li, SZ Li | 7 | 2020 |
| Deep Manifold Transformation for Dimension Reduction SZ Li, Z Zang, L Wu arXiv preprint arXiv:2010.14831, 1-10, 2020 | 7 | 2020 |
| Udrn: unified dimensional reduction neural network for feature selection and feature projection Z Zang, Y Xu, L Lu, Y Geng, S Yang, SZ Li Neural Networks 161, 626-637, 2023 | 6 | 2023 |
| Deep Manifold Transformation for Nonlinear Dimensionality Reduction SZ Li, Z Zang, L Wu arXiv preprint arXiv:2010.14831, 2020 | 6 | 2020 |
Stan Z. Li (李子青)Westlake University & CAS Institute of AutomationVerified email at westlake.edu.cn
