Zhenghua Xu
Orcid: 0000-0002-6719-7333
According to our database1,
Zhenghua Xu
authored at least 70 papers
between 2012 and 2024.
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Bibliography
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
Precision control system of rice potting and transplanting machine based on GA-Fuzzy PID controller.
Comput. Electron. Agric., 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
A Robust Agatston Score for Coronary Artery Calcium Scoring from Non-ECG-Gated CT with Different Reconstruction Kernels.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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
Towards recurrent neural network with multi-path feature fusion for signal modulation recognition.
Wirel. Networks, 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
A Primary Frequency Control Strategy for Variable-Speed Pumped-Storage Plant in Power Generation Based on Adaptive Model Predictive Control.
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
J. Intell. Fuzzy Syst., 2021
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks.
CoRR, 2021
Application Analysis of Radial Basis Function Neural Network Algorithm of Genetic Algorithm for Environmental Restoration and Treatment Effect Evaluation of Decommissioned Uranium Tailings Ponds.
Comput. Intell. Neurosci., 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
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 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
Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks.
CoRR, 2020
On Collision Avoiding Fixed-Time Flocking with Measurable Diameter to a Cucker-Smale-Type Self-Propelled Particle Model.
Complex., 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
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
2013
Destination prediction by sub-trajectory synthesis and privacy protection against such prediction.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
2012
An adaptive algorithm for online time series segmentation with error bound guarantee.
Proceedings of the 15th International Conference on Extending Database Technology, 2012
Proceedings of the Twenty-Third Australasian Database Conference, 2012