Xiaodan Zhang

According to our database, Xiaodan Zhang authored at least 30 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction.

Hua Wang, Xiaodan Zhang, Yanzhao Shi, Chengxin Zheng, Wanyu Zhang, Zhen Wang, Jianing Wang, Xiaobing Yu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MARE: Multimodal Analogical Reasoning for Disease Evolution-Aware Radiology Report Generation.

Qingqing Gao, Tengfei Liu, Xiaoyan Li, Xiaodan Zhang, Zhongfan Sun, Boyue Wang, Baocai Yin, Zhaohui Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding.

Yanzhao Shi, Xiaodan Zhang, Junzhong Ji, Haoning Jiang, Chengxin Zheng, Yinong Wang, Liangqiong Qu

CoRR, June, 2025

Intra- and Inter-Head Orthogonal Attention for Image Captioning.

Xiaodan Zhang, Aozhe Jia, Junzhong Ji, Liangqiong Qu, Qixiang Ye

IEEE Trans. Image Process., 2025

Scale-aware Multi-head Attention with Explainability for Image Captioning.

Yuanzhen Guo, Xiaodan Zhang, Aozhe Jia, Boyue Wang

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

A New Federated Learning Framework Against Gradient Inversion Attacks.

Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation.

Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Co-Occurrence Relationship Driven Hierarchical Attention Network for Brain CT Report Generation.

Xiaodan Zhang, Shixin Dou, Junzhong Ji, Ying Liu, Zheng Wang

IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Prior tissue knowledge-driven contrastive learning for brain CT report generation.

Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Ying Liu, Zheng Wang, Huimin Xu

Multim. Syst., April, 2024

GHCL: Gaussian heuristic curriculum learning for Brain CT report generation.

Qingya Shen, Yanzhao Shi, Xiaodan Zhang, Junzhong Ji, Ying Liu, Huimin Xu

Multim. Syst., April, 2024

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

Jiahua Xiao, Jiawei Zhang, Dongqing Zou, Xiaodan Zhang, Jimmy S. J. Ren, Xing Wei

CoRR, 2024

See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning.

Chengxin Zheng, Junzhong Ji, Yanzhao Shi, Xiaodan Zhang, Liangqiong Qu

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.

Xiaodan Zhang, Sisi Yang, Yanzhao Shi, Junzhong Ji, Ying Liu, Zheng Wang, Huimin Xu

Comput. Biol. Medicine, December, 2023

A Survey on Brain Effective Connectivity Network Learning.

Junzhong Ji, Aixiao Zou, Jinduo Liu, Cuicui Yang, Xiaodan Zhang, Yongduan Song

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Multi-scale Superpixel based Hierarchical Attention model for brain CT classification.

Xiao Song, Xiaodan Zhang, Junzhong Ji, Ying Liu

J. Vis. Commun. Image Represent., March, 2023

Generic Attention-model Explainability by Weighted Relevance Accumulation.

Yiming Huang, Aozhe Jia, Xiaodan Zhang, Jiawei Zhang

Proceedings of the ACM Multimedia Asia 2023, 2023

Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation.

Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Liangqiong Qu, Ying Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Relation constraint self-attention for image captioning.

Junzhong Ji, Mingzhan Wang, Xiaodan Zhang, Minglong Lei, Liangqiong Qu

Neurocomputing, 2022

Sparse data augmentation based on encoderforest for brain network classification.

Junzhong Ji, Zihan Wang, Xiaodan Zhang, Junwei Li

Appl. Intell., 2022

Cross-modal Contrastive Attention Model for Medical Report Generation.

Xiao Song, Xiaodan Zhang, Junzhong Ji, Ying Liu, Pengxu Wei

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.

Junzhong Ji, Xinying Xing, Yao Yao, Junwei Li, Xiaodan Zhang

Pattern Recognit., 2021

Divergent-convergent attention for image captioning.

Junzhong Ji, Zhuoran Du, Xiaodan Zhang

Pattern Recognit., 2021

Fast scene labeling via structural inference.

Huaidong Zhang, Chu Han, Xiaodan Zhang, Yong Du, Xuemiao Xu, Guoqiang Han, Jing Qin, Shengfeng He

Neurocomputing, 2021

Weakly Guided Hierarchical Encoder-Decoder Network for Brain CT Report Generation.

Sisi Yang, Junzhong Ji, Xiaodan Zhang, Ying Liu, Zheng Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Spatio-Temporal Memory Attention for Image Captioning.

Junzhong Ji, Cheng Xu, Xiaodan Zhang, Boyue Wang, Xinhang Song

IEEE Trans. Image Process., 2020

Image captioning via semantic element embedding.

Xiaodan Zhang, Shengfeng He, Xinhang Song, Rynson W. H. Lau, Jianbin Jiao, Qixiang Ye

Neurocomputing, 2020

2019

Deep Forest with Cross-shaped Window Scanning Mechanism to Extract Topological Features.

Junwei Li, Junzhong Ji, Yin Liang, Xiaodan Zhang, Zihan Wang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017

Keyword-driven image captioning via Context-dependent Bilateral LSTM.

Xiaodan Zhang, Shengfeng He, Xinhang Song, Pengxu Wei, Shuqiang Jiang, Qixiang Ye, Jianbin Jiao, Rynson W. H. Lau

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Delving into Salient Object Subitizing and Detection.

Shengfeng He, Jianbo Jiao, Xiaodan Zhang, Guoqiang Han, Rynson W. H. Lau

Proceedings of the IEEE International Conference on Computer Vision, 2017

2015

Rich Image Description Based on Regions.

Xiaodan Zhang, Xinhang Song, Xiong Lv, Shuqiang Jiang, Qixiang Ye, Jianbin Jiao

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015