Zhikang Xu

Orcid: 0000-0002-8607-8209

According to our database1, Zhikang Xu authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation.
Medical Image Anal., 2024

Dual Prototype Learning for Robust Open Set Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024

Safe Data Resampling Method Based on Counterfactuals Analysis.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

Correlation and Foreground Attention to Improve Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

Trusted Fine-grained Medical Image Classification through Multiple Evidence Fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Hierarchical multilabel classification by exploiting label correlations.
Int. J. Mach. Learn. Cybern., 2022

Domain Adaptation with Data Uncertainty Measure Based on Evidence Theory.
Entropy, 2022

Deep Link-Prediction Based on the Local Structure of Bipartite Networks.
Entropy, 2022

Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Selecting Reliable Instances from ImageNet for Medical Image Domain Adaptation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Neural Networks with Prior Evidence for Bladder Cancer Staging.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image Classification.
Proceedings of the Belief Functions: Theory and Applications, 2021

Ensemble of Adapters for Transfer Learning Based on Evidence Theory.
Proceedings of the Belief Functions: Theory and Applications, 2021

2020
Combine Topic Modeling with Semantic Embedding: Embedding Enhanced Topic Model.
IEEE Trans. Knowl. Data Eng., 2020

2019
Financial news recommendation based on graph embeddings.
Decis. Support Syst., 2019

Efficient Attribute Reduction with Submodular Function Optimization.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
Water Level Estimation Based on Image of Staff Gauge in Smart City.
Proceedings of the 2018 IEEE SmartWorld, 2018

A Novel Handover Control Strategy Combined with Multi-hop Routing in LEO Satellite Networks.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Research of Recharging Scheduling Scheme for Wireless Sensor Networks Based on Cuckoo Search.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018


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