Publications: 2025

2025          2024             2023             2022         2021              2020           2019 

学術論文誌

1. Xian-Hua Han:
   High-Generalized Unfolding Model With Coupled Spatial-Spectral Transformer for Hyperspectral Image Reconstruction 
   IEEE Trans. Computational Imaging 11: 625-637 (2025) 

2. Xian-Hua Han, Zhe Liu:
   Deep RGB-guided generative network for unsupervised hyperspectral image super-resolution 
   Appl. Intell. 55(8): 717 (2025) . 

3. Quanyu E, Huiyan Jiang, Guoyu Tong, Xianhua Han:
   Hierarchical multiscale feature fusion spectral transformer for the generation of medical hyperspectral image 
   Applied Soft Computing, Volume 183, November 2025, 113632.

4.  Quanyu E, Huiyan Jiang, Guoyu Tong, Zhaoshuo Diao, Xianhua Han, Zhimin Liu:
   A Dual-Branch Pathology-Prior Attention Mechanism Based on Swin Transformer for the Classification of p16/Ki-67 Dual-Staining Cervical Pathological Cytology Images 
   Biomedical Signal Processing and Control. (Accepted）

5. Zhihuai Hu, Rihito Kojima , Xianhua Han:
   Multi-scale Attention-driven Hierarchical Learning for Fine-Grained Visual Categorization
   Electronics 2025, 14(14), 2869; https://doi.org/10.3390/electronics14142869

6. Ekei Harimoto, Xian-Hua Han:
   CenterFormer: Coupling CenterNet and Vision Transformer for Accurate Wheat Head Detection  
   Journal of Image and Graphics. (Accepted） 

7. H Li, Y Iwamoto, Xian-Hua Han, L Lin, R Tong, H Hu, S Kanasaki, YW Chen:
   Weakly-Supervised Liver Lesion Detection in CT Images Using Adversarial Networks   
   IEEE Transactions on Emerging Topics in Computational Intelligence . 

8. Xian-Hua Han, Jian Wang, Huiyan Jiang:
   Recent Advancements in Hyperspectral Image Reconstruction from a Compressive Measurement   
   Sensors (Basel, Switzerland) 25 (11), 3286 . 

9. X Li, Xian-Hua Han, Y Sun:
   Using SDPC for Visual Exploratory Analysis of Semiconductor Production Line Sensor Data    
   Sensors (Basel, Switzerland) 25 (7), 1984 . 

国際学会

1.  Xian-Hua Han, Jian Wang:

Multi-Degradation Oriented Deep Unfolding Model for Hyperspectral Image Reconstruction .

 ICASSP 2025.

2. Yongqing Sun, Hong Liu, Qiong Chang , Xian-Hua Han:

Deep Dual Internal Learning for Hyperspectral Image Super-Resolution . 

MMM (1) 2025: 263-276 . 

国内会議・研究報告

1.  伊與田颯人, 韓先花 :

Parameter-Efficient Tuningを活用した階層型ViTの医用画像セグメンテーションへの効率的適応 .

 画像の認識・理解シンポジウム（MIRU2025）, 2025年7月29日〜8月1日, 国立京都国際会館, IS2-051.

2. 胡之槐, 韓 先花:

自己注意に基づく重要領域の自動学習とグラフ特徴相互作用による細粒度画像認識 . 

画像の認識・理解シンポジウム（MIRU2025）, 2025年7月29日〜8月1日, 国立京都国際会館, IS2-049. 

3. 周星宇, 韓 先花:

Mambaベースプライア学習を導入したDeep Unfolding型ハイパースペクトル画像再構成 . 

画像の認識・理解シンポジウム（MIRU2025）, 2025年7月29日〜8月1日, 国立京都国際会館, IS1-119 .