| Learning graph convolutional network for skeleton-based human action recognition by neural searching W Peng, X Hong, H Chen, G Zhao The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI2020), 2020 | 404 | 2020 |
| Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement Z Yu*, W Peng*, X Li, X Hong, G Zhao IEEE International Conference on Computer Vision (ICCV2019)., 2019 | 349 | 2019 |
| Hyperbolic Deep Neural Networks: A Survey W Peng, T Varanka, A Mostafa, H Shi, G Zhao IEEE Transactions on Pattern Analysis & Machine Intelligence(T-PAMI) 44 (12 …, 2022 | 230 | 2022 |
| Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition Z Xia, W Peng, HQ Khor, X Feng, G Zhao IEEE Transactions on Image Processing (T-IP), 2020 | 148 | 2020 |
| Large language models in healthcare and medical domain: A review ZA Nazi, W Peng Informatics 11 (3), 57, 2024 | 105 | 2024 |
| Generative AI for Medical Imaging: Extending the MONAI Framework WHL Pinaya, MS Graham, E Kerfoot, PD Tudosiu, J Dafflon, V Fernandez, ... arXiv preprint arXiv:2307.15208, 2023 | 88 | 2023 |
| Mix Dimension in Poincar\'{e} Geometry for 3D Skeleton-based Action Recognition W Peng, J Shi, Z Xia, G Zhao Proceedings of the 28th ACM International Conference on Multimedia (ACM MM'20), 2020 | 71 | 2020 |
| Spatial temporal graph deconvolutional network for skeleton-based human action recognition W Peng, J Shi, G Zhao IEEE signal processing letters 28, 244-248, 2021 | 67 | 2021 |
| Rethinking the ST-GCNs for 3D skeleton-based human action recognition W Peng, J Shi, T Varanka, G Zhao Neurocomputing 454, 45-53, 2021 | 62 | 2021 |
| Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model W Peng, E Adeli, SH Bosschieter, Tomas, Park, Q Zhao, KM Pohl MICCAI 2023, 2023 | 61 | 2023 |
| Tripool: Graph triplet pooling for 3D skeleton-based action recognition W Peng, X Hong, G Zhao Pattern Recognition 115, 107921, 2021 | 56 | 2021 |
| A hybrid quantum–classical neural network with deep residual learning Y Liang, W Peng, ZJ Zheng, O Silvén, G Zhao Neural Networks 143, 133-147, 2021 | 52 | 2021 |
| Modality Unifying Network for Visible-Infrared Person Re-Identification H Yu, X Cheng, W Peng, W Liu, G Zhao IEEE International Conference on Computer Vision (ICCV 2023), 2023 | 49 | 2023 |
| A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework W Peng, X Hong, Y Xu, G Zhao IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019 | 48 | 2019 |
| Adaptive modality distillation for separable multimodal sentiment analysis W Peng, X Hong, G Zhao IEEE Intelligent Systems 36 (3), 82-89, 2021 | 41 | 2021 |
| Video Action Recognition Via Neural Architecture Searching W Peng, X Hong, G Zhao The 26th IEEE International Conference on Image Processing (ICIP 2019), 2019 | 41 | 2019 |
| Intrinsic-extrinsic preserved gans for unsupervised 3D pose transfer H Chen, H Tang, H Shi, W Peng, N Sebe, G Zhao IEEE International Conference on Computer Vision (ICCV2021), 8630-8639, 2021 | 32 | 2021 |
| APER: adaptive evidence-driven reasoning network for machine reading comprehension with unanswerable questions W Peng, Y Hu, J Yu, L Xing, Y Xie Knowledge-Based Systems 229, 107364, 2021 | 27 | 2021 |
| Multiscale 3D-shift graph convolution network for emotion recognition from human actions H Shi, W Peng, H Chen, X Liu, G Zhao IEEE Intelligent Systems 37 (4), 103-110, 2022 | 25 | 2022 |
| Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks W Peng, L Feng, G Zhao, F Liu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 24 | 2022 |
Guoying ZhaoAcademy Professor, IEEE Fellow, Professor of Computer Science and Engineering, University of OuluВерификована је имејл адреса на oulu.fi