Theo dõi
Zhenghua Xu (许铮铧)
Zhenghua Xu (许铮铧)
Hebei University of Technology, China & University of Oxford, UK
Email được xác minh tại cs.ox.ac.uk - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
3522013
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
1202021
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
1122020
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
992016
Location-Aware Personalized News Recommendation With Deep Semantic Analysis
C Chen, X Meng, Z Xu, T Lukasiewicz
IEEE Access, 1624 - 1638, 2017
852017
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
802021
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
792023
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
782021
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
592024
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
572017
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
462020
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
462019
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
422012
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
402022
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
402020
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
382022
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
362023
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
362023
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
342020
Adversarial caching training: Unsupervised inductive network representation learning on large-scale graphs
J Chen, Z Gong, W Wang, C Wang, Z Xu, J Lv, X Li, K Wu, W Liu
IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7079-7090, 2022
302022
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