Rich Image Description Based on Regions. - Xiaodan Zhang 003; Xinhang Song; Xiong Lv; Shuqiang Jiang; Qixiang Ye; Jianbin Jiao (ACM Multimedia, 2015)

Delving into Salient Object Subitizing and Detection. - Shengfeng He; Jianbo Jiao; Xiaodan Zhang 003; Guoqiang Han; Rynson W. H. Lau (ICCV, 2017)

Keyword-driven image captioning via Context-dependent Bilateral LSTM. - Xiaodan Zhang 003; Shengfeng He; Xinhang Song; Pengxu Wei; Shuqiang Jiang; Qixiang Ye; Jianbin Jiao; Rynson W. H. Lau (ICME, 2017)

Deep Forest with Cross-shaped Window Scanning Mechanism to Extract Topological Features. - Junwei Li; Junzhong Ji; Yin Liang; Xiaodan Zhang 003; Zihan Wang 003 (BIBM, 2019)

Image captioning via semantic element embedding. - Xiaodan Zhang 003; Shengfeng He; Xinhang Song; Rynson W. H. Lau; Jianbin Jiao; Qixiang Ye (Neurocomputing, 2020)

Spatio-Temporal Memory Attention for Image Captioning. - Junzhong Ji; Cheng Xu; Xiaodan Zhang 003; Boyue Wang; Xinhang Song (IEEE Trans. Image Process., 2020)

Weakly Guided Hierarchical Encoder-Decoder Network for Brain CT Report Generation. - Sisi Yang; Junzhong Ji; Xiaodan Zhang 003; Ying Liu; Zheng Wang (BIBM, 2021)

Fast scene labeling via structural inference. - Huaidong Zhang; Chu Han; Xiaodan Zhang 003; Yong Du 003; Xuemiao Xu; Guoqiang Han; Jing Qin 001; Shengfeng He (Neurocomputing, 2021)

Divergent-convergent attention for image captioning. - Junzhong Ji; Zhuoran Du; Xiaodan Zhang 003 (Pattern Recognit., 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 003 (Pattern Recognit., 2021)

Cross-modal Contrastive Attention Model for Medical Report Generation. - Xiao Song 003; Xiaodan Zhang 003; Junzhong Ji; Ying Liu; Pengxu Wei (COLING, 2022)

Sparse data augmentation based on encoderforest for brain network classification. - Junzhong Ji; Zihan Wang 003; Xiaodan Zhang 003; Junwei Li (Appl. Intell., 2022)

Relation constraint self-attention for image captioning. - Junzhong Ji; Mingzhan Wang; Xiaodan Zhang 003; Minglong Lei; Liangqiong Qu (Neurocomputing, 2022)

Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation. - Yanzhao Shi; Junzhong Ji; Xiaodan Zhang 003; Liangqiong Qu; Ying Liu (EMNLP, 2023)

Generic Attention-model Explainability by Weighted Relevance Accumulation. - Yiming Huang; Aozhe Jia; Xiaodan Zhang 003; Jiawei Zhang 002 (MMAsia, 2023)

Multi-scale Superpixel based Hierarchical Attention model for brain CT classification. - Xiao Song 003; Xiaodan Zhang 003; Junzhong Ji; Ying Liu (J. Vis. Commun. Image Represent., 2023)

A Survey on Brain Effective Connectivity Network Learning. - Junzhong Ji; Aixiao Zou; Jinduo Liu 001; Cuicui Yang; Xiaodan Zhang 003; Yongduan Song (IEEE Trans. Neural Networks Learn. Syst., 2023)

Weakly guided attention model with hierarchical interaction for brain CT report generation. - Xiaodan Zhang 003; Sisi Yang; Yanzhao Shi; Junzhong Ji; Ying Liu; Zheng Wang; Huimin Xu (Comput. Biol. Medicine, 2023)

See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning. - Chengxin Zheng; Junzhong Ji; Yanzhao Shi; Xiaodan Zhang 003; Liangqiong Qu (EMNLP (Findings), 2024)

Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution. - Jiahua Xiao; Jiawei Zhang 002; Dongqing Zou; Xiaodan Zhang 003; Jimmy S. J. Ren; Xing Wei 001 (CoRR, 2024)

GHCL: Gaussian heuristic curriculum learning for Brain CT report generation. - Qingya Shen; Yanzhao Shi; Xiaodan Zhang 003; Junzhong Ji; Ying Liu; Huimin Xu (Multim. Syst., 2024)

Prior tissue knowledge-driven contrastive learning for brain CT report generation. - Yanzhao Shi; Junzhong Ji; Xiaodan Zhang 003; Ying Liu; Zheng Wang; Huimin Xu (Multim. Syst., 2024)

Co-Occurrence Relationship Driven Hierarchical Attention Network for Brain CT Report Generation. - Xiaodan Zhang 003; Shixin Dou; Junzhong Ji; Ying Liu; Zheng Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation. - Xiaodan Zhang 003; Yanzhao Shi; Junzhong Ji; Chengxin Zheng; Liangqiong Qu (AAAI, 2025)

A New Federated Learning Framework Against Gradient Inversion Attacks. - Pengxin Guo; Shuang Zeng; Wenhao Chen; Xiaodan Zhang 003; Weihong Ren; Yuyin Zhou; Liangqiong Qu (AAAI, 2025)

Intra- and Inter-Head Orthogonal Attention for Image Captioning. - Xiaodan Zhang 003; Aozhe Jia; Junzhong Ji; Liangqiong Qu; Qixiang Ye (IEEE Trans. Image Process., 2025)

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding. - Yanzhao Shi; Xiaodan Zhang 003; Junzhong Ji; Haoning Jiang; Chengxin Zheng; Yinong Wang; Liangqiong Qu (CoRR, 2025)