| Simple Spectral Graph Convolution H Zhu, P Koniusz International Conference on Learning Representation 2021, 2021 | 379 | 2021 |
| COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning Y Zhang, H Zhu, Z Song, P Koniusz, I King 2022 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022 | 129 | 2022 |
| Additively homomorphical encryption based deep neural network for asymmetrically collaborative machine learning Y Zhang, H Zhu arXiv preprint arXiv:2007.06849, 2020 | 100 | 2020 |
| Spectral feature augmentation for graph contrastive learning and beyond Y Zhang, H Zhu, Z Song, P Koniusz, I King Proceedings of the AAAI conference on artificial intelligence 37 (9), 11289 …, 2023 | 92 | 2023 |
| EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning H Zhu, P Koniusz The Conference on Computer Vision and Pattern Recognition (CVPR2022), 2022 | 66 | 2022 |
| Bottom-up saliency based on weighted sparse coding residual B Han, H Zhu, Y Ding Proceedings of the 19th ACM international conference on Multimedia, 1117-1120, 2011 | 56 | 2011 |
| Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement H Zhu, P Koniusz International Conference on Computer Vision and Pattern Recognition 2023, 2023 | 55 | 2023 |
| Contrastive laplacian eigenmaps H Zhu, K Sun, P Koniusz Thirty-fifth Conference on Neural Information Processing Systems (Neurips …, 2021 | 52 | 2021 |
| EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph Y Ren, H Zhu, J ZHang, P Dai, L Bo 37th IEEE International Conference on Data Engineering (ICDE'21), 2019 | 48 | 2019 |
| Graph-adaptive Rectified Linear Unit for Graph Neural Networks Y Zhang, H Zhu, Z Meng, P Koniusz, I King The Web Conference (WWW) 2022, https://arxiv.org/abs/2202.06281, 2022 | 33 | 2022 |
| Semi-automatic 10/20 identification method for MRI-free probe placement in transcranial brain mapping techniques X Xiao, H Zhu, WJ Liu, XT Yu, L Duan, Z Li, CZ Zhu Frontiers in neuroscience 11, 4, 2017 | 31 | 2017 |
| Locality Constrained Deep Supervised Hashing for Image Retrieval. H Zhu, S Gao IJCAI, 3567-3573, 2017 | 25 | 2017 |
| Doc2hash: Learning discrete latent variables for documents retrieval Y Zhang, H Zhu Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 24 | 2019 |
| Mitigating the popularity bias of graph collaborative filtering: A dimensional collapse perspective Y Zhang, H Zhu, Z Song, P Koniusz, I King Advances in Neural Information Processing Systems 36, 67533-67550, 2023 | 23 | 2023 |
| REFINE: random RangE FInder for Network Embedding H Zhu, P Koniusz Proceedings of the 30th ACM International Conference on Information and …, 2021 | 23 | 2021 |
| Vision-based interface: Using face and eye blinking tracking with camera Z Hao, Q Lei 2008 Second International Symposium on Intelligent Information Technology …, 2008 | 21 | 2008 |
| Generalized Laplacian Eigenmaps H Zhu, P Koniusz Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS22), 2022 | 18 | 2022 |
| Discrete wasserstein autoencoders for document retrieval Y Zhang, H Zhu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 12 | 2020 |
| From saliency to dino: Saliency-guided vision transformer for few-shot keypoint detection C Lu, H Zhu, P Koniusz arXiv preprint arXiv:2304.03140, 2023 | 9 | 2023 |
| Visual saliency: A manifold way of perception H Zhu, B Han, X Ruan Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 5 | 2012 |
Piotr KoniuszPrincipal Scientist (Data61❤CSIRO). Hon./Adj. Associate Professor (level D) (ANU & UNSW).E-mailová adresa ověřena na: anu.edu.au