| Destination prediction by sub-trajectory synthesis and privacy protection against such prediction AY Xue, R Zhang, Y Zheng, X Xie, J Huang, Z Xu 2013 IEEE 29th international conference on data engineering (ICDE), 254-265, 2013 | 351 | 2013 |
| RSG: A Simple but Effective Module for Learning Imbalanced Datasets J Wang, T Lukasiewicz, X Hu, J Cai, Z Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 108 | 2021 |
| Can the Brain Do Backpropagation?---Exact Implementation of Backpropagation in Predictive Coding Networks Y Song, T Lukasiewicz, Z Xu, R Bogacz Advances in neural information processing systems 33, 22566-22579, 2020 | 97 | 2020 |
| Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling Z Xu, C Chen, T Lukasiewicz, Y Miao, X Meng Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 94 | 2016 |
| Location-Aware Personalized News Recommendation With Deep Semantic Analysis C Chen, X Meng, Z Xu, T Lukasiewicz IEEE Access, 1624 - 1638, 2017 | 84 | 2017 |
| Associative memories via predictive coding T Salvatori, Y Song, Y Hong, L Sha, S Frieder, Z Xu, R Bogacz, ... Advances in Neural Information Processing Systems 34, 3874-3886, 2021 | 77 | 2021 |
| Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation S Zhang, J Zhang, B Tian, T Lukasiewicz, Z Xu Medical Image Analysis 83, 102656, 2023 | 71 | 2023 |
| Detecting beneficial feature interactions for recommender systems Y Su, R Zhang, S Erfani, Z Xu Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4357-4365, 2021 | 69 | 2021 |
| Tag-Aware Personalized Recommendation Using a Hybrid Deep Model Z Xu, T Lukasiewicz, C Chen, Y Miao, X Meng the Twenty-Sixth International Joint Conference on Artificial Intelligence …, 2017 | 55 | 2017 |
| Inferring neural activity before plasticity as a foundation for learning beyond backpropagation Y Song, B Millidge, T Salvatori, T Lukasiewicz, Z Xu, R Bogacz Nature neuroscience 27 (2), 348-358, 2024 | 50 | 2024 |
| Semi-Supervised Attention-Guided CycleGAN for Data Augmentation on Medical Images Z Xu, C Qi, G Xu 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 46 | 2019 |
| Classifying melanoma skin lesions using convolutional spiking neural networks with unsupervised stdp learning rule Q Zhou, Y Shi, Z Xu, R Qu, G Xu IEEE Access 8, 101309-101319, 2020 | 42 | 2020 |
| An adaptive algorithm for online time series segmentation with error bound guarantee Z Xu, R Zhang, R Kotagiri, U Parampalli Proceedings of the 15th International Conference on Extending Database …, 2012 | 40 | 2012 |
| Short-Term Load Forecasting Using Recurrent Neural Networks With Input Attention Mechanism and Hidden Connection Mechanism M Zhang, Z Yu, Z Xu IEEE Access 8, 186514-186529, 2020 | 39 | 2020 |
| Reverse differentiation via predictive coding T Salvatori, Y Song, Z Xu, T Lukasiewicz, R Bogacz Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8150-8158, 2022 | 38 | 2022 |
| PAC-Net: Multi-pathway FPN with position attention guided connections and vertex distance IoU for 3D medical image detection Z Xu, T Li, Y Liu, Y Zhan, J Chen, T Lukasiewicz Frontiers in Bioengineering and Biotechnology 11, 1049555, 2023 | 34 | 2023 |
| ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution Z Xu, S Liu, D Yuan, L Wang, J Chen, T Lukasiewicz, Z Fu, R Zhang Neurocomputing 500, 177-190, 2022 | 34 | 2022 |
| Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation J Zhang, S Zhang, X Shen, T Lukasiewicz, Z Xu IEEE Transactions on Medical Imaging, 2023 | 31 | 2023 |
| Arena: A general evaluation platform and building toolkit for multi-agent intelligence Y Song, A Wojcicki, T Lukasiewicz, J Wang, A Aryan, Z Xu, M Xu, Z Ding, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7253-7260, 2020 | 31 | 2020 |
| SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images C Qi, J Chen, G Xu, Z Xu, T Lukasiewicz, Y Liu arXiv preprint arXiv:2011.07534, 2020 | 26 | 2020 |
Thomas LukasiewiczVienna University of Technology, Austria; University of Oxford, UKVerified email at tuwien.ac.at
