| A convolutional neural network based on a capsule network with strong generalization for bearing fault diagnosis Z Zhu, G Peng, Y Chen, H Gao Neurocomputing 323, 62-75, 2019 | 370 | 2019 |
| A novel deep learning method based on attention mechanism for bearing remaining useful life prediction Y Chen, G Peng, Z Zhu, S Li Applied Soft Computing 86, 105919, 2020 | 355 | 2020 |
| Ntire 2020 challenge on spectral reconstruction from an rgb image B Arad, R Timofte, O Ben-Shahar, YT Lin, GD Finlayson, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 267 | 2020 |
| CorrNet3D: Unsupervised end-to-end learning of dense correspondence for 3D point clouds Y Zeng, Y Qian, Z Zhu, J Hou, H Yuan, Y He CVPR (https://github.com/ZENGYIMING-EAMON/CorrNet3D), 6052-6061, 2021 | 88 | 2021 |
| Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning Z Zhu, J Hou, J Chen, H Zeng, J Zhou IEEE TIP (https://github.com/ZHU-Zhiyu/PZRes-Net), 2020 | 83 | 2020 |
| Global Structure-Aware Diffusion Process for Low-Light Image Enhancement J Hou*, Z Zhu*, J Hou, H Liu, H Zeng, H Yuan NeurIPS2023 (https://jinnh.github.io/GlobalDiff/), 2023 | 67 | 2023 |
| GLENet: Boosting 3D object detectors with generative label uncertainty estimation Y Zhang, Q Zhang, Z Zhu, J Hou, Y Yuan IJCV(https://github.com/Eaphan/GLENet), 2022 | 50 | 2022 |
| Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers Z Zhu, J Hou, DO Wu ICCV 2023 (https://github.com/ZHU-Zhiyu/High-Rank_RGB-Event_Tracker), 2023 | 31 | 2023 |
| WDA: an improved Wasserstein distance-based transfer learning fault diagnosis method Z Zhu, L Wang, G Peng, S Li Sensors 21 (13), 4394, 2021 | 29 | 2021 |
| Semantic-embedded unsupervised spectral reconstruction from single RGB images in the wild Z Zhu, H Liu, J Hou, H Zeng, Q Zhang ICCV (https://github.com/ZHU-Zhiyu/Unsupervised-Spectral-Reconstruction …, 2021 | 27 | 2021 |
| Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds Z Zhu, J Hou, X Lyu Neurips 2022 (https://github.com/ZHU-Zhiyu/Event-tracking), 2022 | 24 | 2022 |
| Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images Z Zhu, H Liu, J Hou, S Jia, Q Zhang IEEE TCI (https://github.com/ZHU-Zhiyu/GD-Net), 2021 | 24 | 2021 |
| Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution J Hou*, Z Zhu*, J Hou, H Zeng, J Wu, J Zhou IEEE TIP (https://github.com/jinnh/PDE-Net), 2022 | 18 | 2022 |
| NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer M You, Z Zhu, H Liu, J Hou ICLR 2025 (https://github.com/ZHU-Zhiyu/NVS_Solver), 2024 | 9 | 2024 |
| Segment Any Events via Weighted Adaptation of Pivotal Tokens Z Chen, Z Zhu, Y Zhang, J Hou, G Shi, J Wu CVPR2024 (https://github.com/happychenpipi/EventSAM), 2023 | 9* | 2023 |
| Spatial-temporal enhanced transformer towards multi-frame 3d object detection Y Zhang, Z Zhu, J Hou IEEE TPAMI, 2023 | 6* | 2023 |
| Learning spatial-angular fusion for compressive light field imaging in a cycle-consistent framework X Lyu, Z Zhu, M Guo, J Jin, J Hou, H Zeng ACM MM, 4613-4621, 2021 | 5 | 2021 |
| When residual learning meets dense aggregation: Rethinking the aggregation of deep neural networks Z Zhu, ZP Bian, J Hou, Y Wang, LP Chau arXiv preprint arXiv:2004.08796, 2020 | 5 | 2020 |
| Deep Diversity-Enhanced Feature Representation of Hyperspectral Images J Hou, Z Zhu, J Hou, H Liu, H Zeng, D Meng IEEE TPAMI (https://github.com/jinnh/ReSSS-ConvSet), 2024 | 4 | 2024 |
| Intelligent Fault Diagnosis Using Limited Data Under Different Working Conditions Based on SEflow Model and Data Augmentation S Li, G Peng, D Mao, Z Zhu, M Ji, Y Chen Advances in Intelligent Information Hiding and Multimedia Signal Processing …, 2021 | 3 | 2021 |