| Invertible denoising network: A light solution for real noise removal Y Liu, Z Qin, S Anwar, P Ji, D Kim, S Caldwell, T Gedeon 2021 Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 122 | 2021 |
| Rethinking softmax with cross-entropy: Neural network classifier as mutual information estimator Z Qin, D Kim, T Gedeon 2021 International Conference on Machine Learning (ICML-XAI), 2019 | 57* | 2019 |
| Fusing higher-order features in graph neural networks for skeleton-based action recognition Z Qin, Y Liu, P Ji, D Kim, L Wang, B McKay, S Anwar, T Gedeon IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 | 53* | 2022 |
| Winter wheat identification by integrating spectral and temporal information derived from multi-resolution remote sensing data X ZHANG, J LIU, Z Qin, QIN Fen Journal of Integrative Agriculture 18 (11), 2628-2643, 2019 | 19 | 2019 |
| Visual saliency maps can apply to facial expression recognition Z Qin, J Wu arXiv preprint arXiv:1811.04544, 2018 | 18 | 2018 |
| Disentangling noise from images: A flow-based image denoising neural network Y Liu, S Anwar, Z Qin, P Ji, S Caldwell, T Gedeon arXiv preprint arXiv:2105.04746, 2021 | 11 | 2021 |
| Are deep neural architectures losing information? Invertibility is indispensable Y Liu, Z Qin, S Anwar, S Caldwell, T Gedeon 2020 International Conference on Neural Information Processing (ICONIP), 2020 | 11 | 2020 |
| Detecting the doubt effect and subjective beliefs using neural networks and observers’ pupillary responses X Zhu, Z Qin, T Gedeon, R Jones, MZ Hossain, S Caldwell International Conference on Neural Information Processing (ICONIP), 610-621, 2018 | 10 | 2018 |
| Your eyes say you’re lying: an eye movement pattern analysis for face familiarity and deceptive cognition J Zuo, T Gedeon, Z Qin 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 6 | 2019 |
| Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional Expressions Z Qin, T Gedeon, S Caldwell International Conference on Neural Information Processing (ICONIP), 205-216, 2018 | 6 | 2018 |
| Teamgl at acrv robotic vision challenge 1: Probabilistic object detection via staged non-suppression ensembling D Li, C Xu, Y Liu, Z Qin CVPR Workshop on the Robotic Vision Probabilistic Object Detection Challenge, 2019 | 5 | 2019 |
| Anonymization for Skeleton Action Recognition S Moon, M Kim, Z Qin, Y Liu, D Kim AAAI Conference on Artificial Intelligence (AAAI), 2023 | 4 | 2023 |
| ANUBIS: Review and Benchmark Skeleton-Based Action Recognition Methods with a New Dataset Z Qin, Y Liu, M Perera, S Anwar, T Gedeon, P Ji, D Kim Under Review, 2022 | 4* | 2022 |
| Position-sensing graph neural networks: Proactively learning nodes relative positions Z Qin, S Anwar, D Kim, Y Liu, P Ji, T Gedeon IEEE Transactions on Neural Networks and Learning Systems (TNNLS …, 2021 | 4 | 2021 |
| Why don't the modules dominate? Z Qin, T Gedeon, RI McKay 2018 Genetic and Evolutionary Computation Conference (GECCO), 2018 | 4 | 2018 |
| Anomalies in the behavior of a modularity inducing problem domain Z Qin, T Gedeon, RI McKay 2019 Artificial Life Conference (ALIFE), 2019 | 2 | 2019 |
| Resolving Anomalies in the Behaviour of a Modularity-Inducing Problem Domain with Distributional Fitness Evaluation Z Qin, B McKay, T Gedeon MIT Artificial Life Journal (ALIFEJ), 2022 | 1* | 2022 |
| Classification Models for Medical Data with Interpretative Rules X Xu, X Ding, Z Qin, Y Liu Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 1 | 2021 |
| Improving effectiveness and efficiency in Wagner’s modularity-evolving artificial gene regulatory networks Z Qin, R Jin, RIB McKay, T Gedeon 2020 IEEE symposium series on computational intelligence (SSCI), 1162-1170, 2020 | 1 | 2020 |
| SDXL and IP2P: Support instruction pix2pix SDXL in HuggingFace Diffusers Z Qin https://github.com/huggingface/diffusers/pull/4079, 2023 | | 2023 |
Tom GedeonHuman-Centric Advancements Chair in AI, Curtin UniversityVerified email at curtin.edu.au
