| Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model XJ Wang Sheng, Sun Siqi, Li Zhen, Zhang Renyu PLOS Computational Biology 13 (1), e1005324, 2017 | 682 | 2017 |
| High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference YY Xiaoguang Han*, Zhen Li*, Haibin Huang, Evangelos Kalogerakis International Conference on Computer Vision, 2017 | 207* | 2017 |
| Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling X Yan, C Zheng, Z Li, S Wang, S Cui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 167 | 2020 |
| LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling LL Li Zhen, GanYukang, Liang Xiaodan, Yu Yizhou, Cheng Hui European Conference on Computer Vision, 541--557, 2016 | 146 | 2016 |
| Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks Z Li, Y Yu IJCAI, 2016 | 112 | 2016 |
| Folding Membrane Proteins by Deep Transfer Learning JX Sheng Wang* , Zhen Li* , Yizhou Yu Cell Systems 5 (3), 202–211, 2017 | 57 | 2017 |
| Semi-supervised video salient object detection using pseudo-labels P Yan, G Li, Y Xie, Z Li, C Wang, T Chen, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 43 | 2019 |
| Discrete-time ZD, GD and NI for solving nonlinear time-varying equations YZZLDGZKP Chen Numerical Algorithms 64, 721-740, 2013 | 39 | 2013 |
| Adaptive context selection for polyp segmentation R Zhang, G Li, Z Li, S Cui, D Qian, Y Yu International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 28 | 2020 |
| Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion X Yan, J Gao, J Li, R Zhang, Z Li, R Huang, S Cui arXiv preprint arXiv:2012.03762, 2020 | 21 | 2020 |
| Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual referring Z Yuan, X Yan, Y Liao, R Zhang, S Wang, Z Li, S Cui Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 19 | 2021 |
| Meddg: A large-scale medical consultation dataset for building medical dialogue system W Liu, J Tang, J Qin, L Xu, Z Li, X Liang arXiv preprint arXiv:2010.07497, 2020 | 19 | 2020 |
| Exemplar normalization for learning deep representation R Zhang, Z Peng, L Wu, Z Li, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 11 | 2020 |
| Z-type and G-type models for time-varying inverse square root (TVISR) solving YZZLDGWLP Chen Soft Comput 17, 2021-2032, 2013 | 11 | 2013 |
| Shallow feature matters for weakly supervised object localization J Wei, Q Wang, Z Li, S Wang, SK Zhou, S Cui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 10 | 2021 |
| Wavenano: a signal-level nanopore base-caller via simultaneous prediction of nucleotide labels and move labels through bi-directional wavenets S Wang, Z Li, Y Yu, X Gao Quantitative Biology 6 (4), 359-368, 2018 | 10 | 2018 |
| UXNet: searching multi-level feature aggregation for 3D medical image segmentation Y Ji, R Zhang, Z Li, J Ren, S Zhang, P Luo International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 9 | 2020 |
| Towards content-independent multi-reference super-resolution: Adaptive pattern matching and feature aggregation X Yan, W Zhao, K Yuan, R Zhang, Z Li, S Cui European Conference on Computer Vision, 52-68, 2020 | 9 | 2020 |
| Crystal structure of steroid reductase SRD5A reveals conserved steroid reduction mechanism Y Han, Q Zhuang, B Sun, W Lv, S Wang, Q Xiao, B Pang, Y Zhou, F Wang, ... Nature Communications 12 (1), 1-10, 2021 | 8 | 2021 |
| Characterizing label errors: confident learning for noisy-labeled image segmentation M Zhang, J Gao, Z Lyu, W Zhao, Q Wang, W Ding, S Wang, Z Li, S Cui International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 8 | 2020 |
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