| Interpretable convolutional neural networks via feedforward design CCJ Kuo, M Zhang, S Li, J Duan, Y Chen Journal of Visual Communication and Image Representation 60, 346-359, 2019 | 189 | 2019 |
| PointHop: An Explainable Machine Learning Method for Point Cloud Classification M Zhang, H You, P Kadam, CCJ Liu, Shan, and Kuo IEEE Transactions on Multimedia 22 (7), 1744 - 1755, 2020 | 145 | 2020 |
| R-pointhop: A green, accurate, and unsupervised point cloud registration method P Kadam, M Zhang, S Liu, CCJ Kuo IEEE Transactions on Image Processing 31, 2710-2725, 2022 | 71 | 2022 |
| Pointhop++: A lightweight learning model on point sets for 3d classification M Zhang, Y Wang, P Kadam, S Liu, CCJ Kuo 2020 IEEE International Conference on Image Processing (ICIP), 3319-3323, 2020 | 50 | 2020 |
| 3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning Methods S Liu, M Zhang, P Kadam, CCJ Kuo Springer Nature, 0 | 47* | |
| Unsupervised point cloud registration via salient points analysis (SPA) P Kadam, M Zhang, S Liu, CCJ Kuo 2020 IEEE International Conference on Visual Communications and Image …, 2020 | 31 | 2020 |
| Unsupervised feedforward feature (UFF) learning for point cloud classification and segmentation M Zhang, P Kadam, S Liu, CCJ Kuo 2020 IEEE International Conference on Visual Communications and Image …, 2020 | 26 | 2020 |
| Gsip: Green semantic segmentation of large-scale indoor point clouds M Zhang, P Kadam, S Liu, CCJ Kuo Pattern Recognition Letters 164, 9-15, 2022 | 22 | 2022 |
| Semi-supervised learning via feedforward-designed convolutional neural networks Y Chen, Y Yang, M Zhang, CCJ Kuo 2019 IEEE International Conference on Image Processing (ICIP), 365-369, 2019 | 10 | 2019 |
| Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network M Zhang, Z Pan, X Zhou, CCJ Kuo arXiv preprint arXiv:2207.11844, 2022 | 8 | 2022 |
| GreenPCO: An unsupervised lightweight point cloud odometry method P Kadam, M Zhang, J Gu, S Liu, CCJ Kuo 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP …, 2022 | 6 | 2022 |
| S3i-pointhop: So (3)-invariant pointhop for 3d point cloud classification P Kadam, H Prajapati, M Zhang, J Xue, S Liu, CCJ Kuo ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 5 | 2023 |
| A tiny machine learning model for point cloud object classification M Zhang, J Xue, P Kadam, H Prajapati, S Liu, CCJ Kuo APSIPA Transactions on Signal and Information Processing 12 (1), 2023 | 2 | 2023 |
| Traditional Point Cloud Analysis S Liu, M Zhang, P Kadam, CCJ Kuo, S Liu, M Zhang, P Kadam, CCJ Kuo 3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine …, 2021 | 2 | 2021 |
| Deep learning-based point cloud analysis S Liu, M Zhang, P Kadam, CCJ Kuo, S Liu, M Zhang, P Kadam, CCJ Kuo 3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine …, 2021 | 2 | 2021 |
| Explainable Machine Learning Methods for Point Cloud Analysis S Liu, M Zhang, P Kadam, CCJ Kuo, S Liu, M Zhang, P Kadam, CCJ Kuo 3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine …, 2021 | 1 | 2021 |
| 基于白光干涉法测量微光栅形貌及相关几何参量的研究 牛渊， 张敏， 王俊杰， 徐永祥 光学仪器 39 (2), 1-7, 2017 | | 2017 |
C.-C. Jay KuoMing Hsieh Chair Professor in ECE-Systems, University of Southern CaliforniaVerifisert e-postadresse på sipi.usc.edu