Xiaodan Zhang - RankMe

33 papers A* 7A 1B 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MARE: Multimodal Analogical Reasoning for Disease Evolution-Aware Radiology Report Generation. AAAI Qingqing Gao, Tengfei Liu, Xiaoyan Li, Xiaodan Zhang, Zhongfan Sun, Boyue Wang, Baocai Yin, Zhaohui Liu
2026	A*	`conf`	MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction. AAAI Hua Wang, Xiaodan Zhang, Yanzhao Shi, Chengxin Zheng, Wanyu Zhang, Zhen Wang, Jianing Wang, Xiaobing Yu
2025	A*	`conf`	A New Federated Learning Framework Against Gradient Inversion Attacks. AAAI Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu
2025	J	`jnl`	HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding. CoRR Yanzhao Shi, Xiaodan Zhang, Junzhong Ji, Haoning Jiang, Chengxin Zheng, Yinong Wang, Liangqiong Qu
2025	J	`jnl`	Intra- and Inter-Head Orthogonal Attention for Image Captioning. IEEE Trans. Image Process. Xiaodan Zhang, Aozhe Jia, Junzhong Ji, Liangqiong Qu, Qixiang Ye
2025	A*	`conf`	MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation. AAAI Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu
2025	J	`jnl`	MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation. CoRR Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu
2025	—	`conf`	Scale-aware Multi-head Attention with Explainability for Image Captioning. PRCV (3) Yuanzhen Guo, Xiaodan Zhang, Aozhe Jia, Boyue Wang
2024	J	`jnl`	A New Federated Learning Framework Against Gradient Inversion Attacks. CoRR Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu
2024	J	`jnl`	Co-Occurrence Relationship Driven Hierarchical Attention Network for Brain CT Report Generation. IEEE Trans. Emerg. Top. Comput. Intell. Xiaodan Zhang, Shixin Dou, Junzhong Ji, Ying Liu, Zheng Wang
2024	J	`jnl`	GHCL: Gaussian heuristic curriculum learning for Brain CT report generation. Multim. Syst. Qingya Shen, Yanzhao Shi, Xiaodan Zhang, Junzhong Ji, Ying Liu, Huimin Xu
2024	J	`jnl`	Prior tissue knowledge-driven contrastive learning for brain CT report generation. Multim. Syst. Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Ying Liu, Zheng Wang, Huimin Xu
2024	—	`conf`	See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning. EMNLP (Findings) Chengxin Zheng, Junzhong Ji, Yanzhao Shi, Xiaodan Zhang, Liangqiong Qu
2024	J	`jnl`	See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning. CoRR Chengxin Zheng, Junzhong Ji, Yanzhao Shi, Xiaodan Zhang, Liangqiong Qu
2024	J	`jnl`	Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution. CoRR Jiahua Xiao, Jiawei Zhang, Dongqing Zou, Xiaodan Zhang, Jimmy S. J. Ren, Xing Wei
2023	J	`jnl`	A Survey on Brain Effective Connectivity Network Learning. IEEE Trans. Neural Networks Learn. Syst. Junzhong Ji, Aixiao Zou, Jinduo Liu, Cuicui Yang, Xiaodan Zhang, Yongduan Song
2023	—	`conf`	Generic Attention-model Explainability by Weighted Relevance Accumulation. MMAsia Yiming Huang, Aozhe Jia, Xiaodan Zhang, Jiawei Zhang
2023	A*	`conf`	Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation. EMNLP Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Liangqiong Qu, Ying Liu
2023	J	`jnl`	Multi-scale Superpixel based Hierarchical Attention model for brain CT classification. J. Vis. Commun. Image Represent. Xiao Song, Xiaodan Zhang, Junzhong Ji, Ying Liu
2023	J	`jnl`	Weakly guided attention model with hierarchical interaction for brain CT report generation. Comput. Biol. Medicine Xiaodan Zhang, Sisi Yang, Yanzhao Shi, Junzhong Ji, Ying Liu, Zheng Wang, Huimin Xu
2022	B	`conf`	Cross-modal Contrastive Attention Model for Medical Report Generation. COLING Xiao Song, Xiaodan Zhang, Junzhong Ji, Ying Liu, Pengxu Wei
2022	J	`jnl`	Relation constraint self-attention for image captioning. Neurocomputing Junzhong Ji, Mingzhan Wang, Xiaodan Zhang, Minglong Lei, Liangqiong Qu
2022	J	`jnl`	Sparse data augmentation based on encoderforest for brain network classification. Appl. Intell. Junzhong Ji, Zihan Wang, Xiaodan Zhang, Junwei Li
2021	J	`jnl`	Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns. Pattern Recognit. Junzhong Ji, Xinying Xing, Yao Yao, Junwei Li, Xiaodan Zhang
2021	J	`jnl`	Divergent-convergent attention for image captioning. Pattern Recognit. Junzhong Ji, Zhuoran Du, Xiaodan Zhang
2021	J	`jnl`	Fast scene labeling via structural inference. Neurocomputing Huaidong Zhang, Chu Han, Xiaodan Zhang, Yong Du, Xuemiao Xu, Guoqiang Han, Jing Qin, Shengfeng He
2021	—	`conf`	Weakly Guided Hierarchical Encoder-Decoder Network for Brain CT Report Generation. BIBM Sisi Yang, Junzhong Ji, Xiaodan Zhang, Ying Liu, Zheng Wang
2020	J	`jnl`	Image captioning via semantic element embedding. Neurocomputing Xiaodan Zhang, Shengfeng He, Xinhang Song, Rynson W. H. Lau, Jianbin Jiao, Qixiang Ye
2020	J	`jnl`	Spatio-Temporal Memory Attention for Image Captioning. IEEE Trans. Image Process. Junzhong Ji, Cheng Xu, Xiaodan Zhang, Boyue Wang, Xinhang Song
2019	—	`conf`	Deep Forest with Cross-shaped Window Scanning Mechanism to Extract Topological Features. BIBM Junwei Li, Junzhong Ji, Yin Liang, Xiaodan Zhang, Zihan Wang
2017	A*	`conf`	Delving into Salient Object Subitizing and Detection. ICCV Shengfeng He, Jianbo Jiao, Xiaodan Zhang, Guoqiang Han, Rynson W. H. Lau
2017	A	`conf`	Keyword-driven image captioning via Context-dependent Bilateral LSTM. ICME Xiaodan Zhang, Shengfeng He, Xinhang Song, Pengxu Wei, Shuqiang Jiang, Qixiang Ye, Jianbin Jiao, Rynson W. H. Lau
2015	A*	`conf`	Rich Image Description Based on Regions. ACM Multimedia Xiaodan Zhang, Xinhang Song, Xiong Lv, Shuqiang Jiang, Qixiang Ye, Jianbin Jiao