Zhenghua Xu
Orcid: 0000-0002-6719-7333Affiliations:
- Hebei University of Technology, School of Health Sciences and Biomedical Engineering, Tianjin, China
- University of Oxford, Department of computer science, UK (PhD 2018)
- University of Melbourne, Melbourne, VIC, Australia (former)
According to our database1,
Zhenghua Xu
authored at least 62 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
C2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network.
Inf. Fusion, 2026
2025
CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media.
IEEE Trans. Comput. Soc. Syst., August, 2025
Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty.
IEEE Trans. Neural Networks Learn. Syst., February, 2025
IEEE Trans. Medical Imaging, January, 2025
IEEE Trans. Netw. Sci. Eng., 2025
Aggregated Mutual Learning between CNN and Transformer for semi-supervised medical image segmentation.
Knowl. Based Syst., 2025
Comput. Biol. Medicine, 2025
MPL: Multiple Programming Languages with Large Language Models for Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning.
Comput. Biol. Medicine, February, 2024
Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, January, 2024
Cross-domain attention-guided generative data augmentation for medical image analysis with limited data.
Comput. Biol. Medicine, January, 2024
PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention.
IEEE Trans. Netw. Sci. Eng., 2024
Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation.
IEEE Trans. Netw. Sci. Eng., 2024
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising.
Comput. Biol. Medicine, December, 2023
IEEE Trans. Comput. Soc. Syst., October, 2023
Data Sci. Eng., September, 2023
Comput. Biol. Medicine, September, 2023
Comput. Biol. Medicine, June, 2023
Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing.
Comput. Biol. Medicine, February, 2023
Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks.
IEEE Trans. Serv. Comput., 2023
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation.
Medical Image Anal., 2023
C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network.
CoRR, 2023
AMLP: Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation.
CoRR, 2023
Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation.
Proceedings of the IEEE International Conference on Acoustics, 2023
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs.
IEEE Trans. Neural Networks Learn. Syst., 2022
ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution.
Neurocomputing, 2022
CoRR, 2022
Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty.
CoRR, 2022
CoRR, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution.
CoRR, 2020
CoRR, 2020
CoRR, 2020
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images.
CoRR, 2020
CoRR, 2020
Classifying Melanoma Skin Lesions Using Convolutional Spiking Neural Networks With Unsupervised STDP Learning Rule.
IEEE Access, 2020
Short-Term Load Forecasting Using Recurrent Neural Networks With Input Attention Mechanism and Hidden Connection Mechanism.
IEEE Access, 2020
Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.
CoRR, 2019
Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity.
IEEE Access, 2018
2017
CoRR, 2017
IEEE Access, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Database Systems for Advanced Applications, 2017
2016
Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2014
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014