Xiaodan Zhang

Orcid: 0000-0001-7002-5447

Affiliations:
  • Beijing University of Technology, Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing, China
  • University of Chinese Academy of Sciences, Beijing, China (PhD 2018)


According to our database1, Xiaodan Zhang authored at least 24 papers between 2015 and 2024.

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

Timeline

2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
0
1
2
3
4
5
6
7
5
3
2
3
2
1
2
1
1
1
2
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Co-Occurrence Relationship Driven Hierarchical Attention Network for Brain CT Report Generation.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Prior tissue knowledge-driven contrastive learning for brain CT report generation.
Multim. Syst., April, 2024

GHCL: Gaussian heuristic curriculum learning for Brain CT report generation.
Multim. Syst., April, 2024

A New Federated Learning Framework Against Gradient Inversion Attacks.
CoRR, 2024

Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution.
CoRR, 2024

See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Weakly guided attention model with hierarchical interaction for brain CT report generation.
Comput. Biol. Medicine, December, 2023

A Survey on Brain Effective Connectivity Network Learning.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Multi-scale Superpixel based Hierarchical Attention model for brain CT classification.
J. Vis. Commun. Image Represent., March, 2023

Generic Attention-model Explainability by Weighted Relevance Accumulation.
Proceedings of the ACM Multimedia Asia 2023, 2023

Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Relation constraint self-attention for image captioning.
Neurocomputing, 2022

Sparse data augmentation based on encoderforest for brain network classification.
Appl. Intell., 2022

Cross-modal Contrastive Attention Model for Medical Report Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns.
Pattern Recognit., 2021

Divergent-convergent attention for image captioning.
Pattern Recognit., 2021

Fast scene labeling via structural inference.
Neurocomputing, 2021

Weakly Guided Hierarchical Encoder-Decoder Network for Brain CT Report Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Spatio-Temporal Memory Attention for Image Captioning.
IEEE Trans. Image Process., 2020

Image captioning via semantic element embedding.
Neurocomputing, 2020

2019
Deep Forest with Cross-shaped Window Scanning Mechanism to Extract Topological Features.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017
Keyword-driven image captioning via Context-dependent Bilateral LSTM.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Delving into Salient Object Subitizing and Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2015
Rich Image Description Based on Regions.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015


  Loading...