| Actional-structural graph convolutional networks for 3D skeleton-based action recognition M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 1334 | 2019 |
| Discrete signal processing on graphs: Sampling theory S Chen, R Varma, A Sandryhaila, J Kovacevic IEEE Transactions on Signal Processing 63 (24), 6510-6523, 2015 | 768 | 2015 |
| Dynamic multiscale graph neural networks for 3D skeleton-based human motion prediction M Li, S Chen, Y Zhao, Y Zhang, Y Wang, Q Tian IEEE Conference on Computer Vision and Pattern Recognition (CVPR) oral, 2020 | 388 | 2020 |
| Signal recovery on graphs: Variation minimization S Chen, A Sandryhaila, JMF Moura, J Kovačević IEEE Transactions on Signal Processing 63 (17), 4609-4624, 2015 | 321 | 2015 |
| Fast resampling of 3D point clouds via graphs S Chen, D Tian, C Feng, A Vetro, J Kovačević IEEE Transactions on Signal Processing 66 (3), 666-681, 2018 | 262* | 2018 |
| V2X-Sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving Y Li, D Ma, Z An, Z Wang, Y Zhong, S Chen, C Feng IEEE Robotics and Automation Letters, 2022 | 252* | 2022 |
| Symbiotic graph neural networks for 3D skeleton-based human action recognition and motion prediction M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 249 | 2021 |
| Learning distilled collaboration graph for multi-agent perception Y Li, S Ren, P Wu, S Chen, C Feng, W Zhang Neural Information Processing Systems (NeurIPS), 2021 | 233 | 2021 |
| 3D point cloud processing and learning for autonomous driving: Impacting map creation, localization, and perception S Chen, B Liu, C Feng, C Vallespi-Gonzalez, C Wellington IEEE Signal Processing Magazine 38 (1), 68-86, 2021 | 226 | 2021 |
| Where2comm: Communication-efficient collaborative perception via spatial confidence maps Y Hu, S Fang, Z Lei, Y Zhong, S Chen Neural Information Processing Systems (NeurIPS) Spotlight, 2022 | 223 | 2022 |
| Signal denoising on graphs via graph filtering S Chen, A Sandryhaila, JMF Moura, J Kovacevic IEEE GlobalSIP, 2014 | 199 | 2014 |
| MotionNet: Joint perception and motion prediction for autonomous driving based on bird's eye view maps P Wu, S Chen, D Metaxas IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 189 | 2020 |
| Semi-supervised multiresolution classification using adaptive graph filtering with application to indirect bridge structural health monitoring S Chen, F Cerda, P Rizzo, J Bielak, J Garrett, J Kovacevic IEEE Transactions on Signal Processing 62 (11), 2879 - 2893, 2014 | 156 | 2014 |
| Signal recovery on graphs: Fundamental limits of sampling strategies S Chen, R Varma, A Singh, J Kovačević IEEE Transactions on Signal and Information Processing over Networks, 2015 | 149 | 2015 |
| GroupNet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning C Xu, M Li, Z Ni, Y Zhang, S Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 143 | 2022 |
| Cell clustering for spatial transcriptomics data with graph neural networks J Li, S Chen, X Pan, Y Yuan, HB Shen Nature Computational Science 2 (6), 399-408, 2022 | 136 | 2022 |
| Remember intentions: Retrospective-memory-based trajectory prediction C Xu, W Mao, W Zhang, S Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 136 | 2022 |
| Leapfrog diffusion model for stochastic trajectory prediction W Mao, C Xu, Q Zhu, S Chen, Y Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 122 | 2023 |
| Multivariate time series forecasting with dynamic graph neural ODEs M Jin, Y Zheng, YF Li, S Chen, B Yang, S Pan IEEE Transactions on Knowledge and Data Engineering, 2022 | 122 | 2022 |
| Diagnosis algorithms for indirect structural health monitoring of a bridge model via dimensionality reduction J Liu, S Chen, M Bergés, J Bielak, JH Garrett, J Kovačević, HY Noh Mechanical Systems and Signal Processing 136, 106454, 2020 | 122 | 2020 |
Jelena KovacevicNYU Tandon School of Engineering在 nyu.edu 的电子邮件经过验证