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• 2026
• 
  [j45]
  Yiqiao Zhou,Kangjian He,Dan Xu,Jian Gong,Wencheng Mei:
  DIFusion: Multimodal medical image fusion based on detail preservation and invertible neural networks.Biomed. Signal Process. Control.115:109415 (2026)
• 
  [j44]
  Zhaisheng Ding,Ruichao Hou,Yunzhe Men,Shengyang Luan,Yanyu Liu,Kangjian He,Shidong Xie:
  DSKFuse: Passive-active distillation learning for multi-modal image fusion via dynamic sparse kansformer.Expert Syst. Appl.303:130610 (2026)
• 
  [j43]
  Jundong Zhang,Yanan Guo,Kangjian He,Dan Xu,Songhan Zheng,Wencheng Mei:
  Enhancing infrared-visible image fusion via text-guided adaptive feature integration.Multim. Syst.32(1):12 (2026)
• 2025
• 
  [j42]
  Shanshan Chen,Kangjian He,Dan Xu,Hongzhen Shi,Rong Zeng:
  A dual-domain framework for multimodal medical image registration: Optimizing phase consistency with LPC-GIMI.Biomed. Signal Process. Control.99:106809 (2025)
• 
  [j41]
  Mengting Hu,Dan Xu,Kangjian He,Kunyuan Zhao,Hao Zhang:
  Cross-subject emotion recognition with contrastive learning based on EEG signal correlations.Biomed. Signal Process. Control.104:107511 (2025)
• 
  [j40]
  Wencheng Mei,Kangjian He,Dan Xu,Songhan Zheng,Jundong Zhang:
  A lightweight medical image fusion network by structural similarity pseudo labels iteration.Biomed. Signal Process. Control.110:108043 (2025)
• 
  [j39]
  Jiacheng Qin,Dan Xu,Hao Zhang,Zhaoyu Xiong,Yejing Yuan,Kangjian He:
  BTSegDiff: Brain tumor segmentation based on multimodal MRI Dynamically guided diffusion probability model.Comput. Biol. Medicine186:109694 (2025)
• 
  [j38]
  Guanhao Chen,Dan Xu,Kangjian He,Hongzhen Shi,Hao Zhang:
  TSSA-Net: Transposed Sparse Self-Attention-based network for image super-resolution.Eng. Appl. Artif. Intell.153:110823 (2025)
• 
  [j37]
  Tao Feng,Kangjian He,Geng Yue,Junkai Yin:
  LIGFusion: a light-integrated and guided fusion method for multimodal image fusion.J. Electronic Imaging34(3) (2025)
• 
  [j36]
  Yueying Luo,Kangjian He,Dan Xu,Hongzhen Shi,Wenxia Yin:
  Infrared and visible image fusion based on hybrid multi-scale decomposition and adaptive contrast enhancement.Signal Process. Image Commun.130:117228 (2025)
• 
  [j35]
  Jundong Zhang,Kangjian He,Dan Xu,Hongzhen Shi:
  CLIP-Based Natural Language-Guided Low-Redundancy Fusion of Infrared and Visible Images.IEEE Trans. Consumer Electron.71(1):931-944 (2025)
• 
  [j34]
  Yueying Luo,Wenbo Liu,Kangjian He,Dan Xu,Hongzhen Shi,Hao Zhang:
  CycleFusion: Automatic Annotation and Graph-to-Graph Transaction Based Cycle-Consistent Adversarial Network for Infrared and Visible Image Fusion.IEEE Trans. Emerg. Top. Comput. Intell.9(1):494-508 (2025)
• 
  [j33]
  Chenou Liu,Kangjian He,Dan Xu,Hongzhen Shi:
  MDH-Net: advancing 3D brain MRI registration with multi-stage transformer and dual-stream feature refinement hybrid network.J. Supercomput.81(1):19 (2025)
• 
  [j32]
  Wencheng Mei,Kangjian He,Dan Xu,Siqi Xie,Yiqiao Zhou:
  Multi-modality medical image fusion by edge supervising and multi-scale attention features extraction.J. Supercomput.81(13):1248 (2025)
• 
  [j31]
  Zhaijuan Ding,Yanyu Liu,Sen Liu,Kangjian He,Dongming Zhou:
  $\hbox {KD}^{3}$mt: knowledge distillation-driven dynamic mixer transformer for medical image fusion.Vis. Comput.41(6):3679-3693 (2025)
• 
  [c16]
  Kuanghong Liu,Jin Wang,Kangjian He,Dan Xu,Xuejie Zhang:
  Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation.AAAI2025:18897-18905
• 
  [c15]
  Qianhan Tang,Yanan Liu,Ningxin Wang,Kangjian He,Hao Zhang,Dan Xu:
  Construct a Powerful Discriminative Relationship for Few-Shot Action Recognition.ICME2025:1-6
• 
  [c14]
  Yinghui Zhu,Congcong Zeng,Dan Xu,Jiangang Pan,Kangjian He,Hongzhen Shi:
  Bridging the Degradation Gap in Real Super-Resolution: A Transfer-Based Paired Dataset Construction.PRCV (9)2025:226-239
• 
  [c13]
  Liye Li,Kangjian He,Gaifang Luo,Hao Zhang,Yijie He,Dan Xu:
  DPA-SAM: Enhancing Medical Image Segmentation with 3D-DCAF and PGAttention.PRCV (14)2025:278-292
• 
  [c12]
  Yijie He,Dan Xu,Yueying Luo,Zihang Sun,Kangjian He:
  FCReg: Medical Image Registration Network with Image-Text Feature Coupling.PRCV (14)2025:379-391
• 
  [i1]
  Kuanghong Liu,Jin Wang,Kangjian He,Dan Xu,Xuejie Zhang:
  Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation.CoRRabs/2503.06106 (2025)
• 2024
• 
  [j30]
  Yiqiao Zhou,Kangjian He,Dan Xu,Dapeng Tao,Xu Lin,Chengzhou Li:
  ASFusion: Adaptive visual enhancement and structural patch decomposition for infrared and visible image fusion.Eng. Appl. Artif. Intell.132:107905 (2024)
• 
  [j29]
  Yueying Luo,Dan Xu,Kangjian He,Hongzhen Shi,Jian Gong:
  Fidelity based visual compensation and salient information rectification for infrared and visible image fusion.Knowl. Based Syst.299:112132 (2024)
• 
  [j28]
  Hao Zhang,Gaifang Luo,Yingying Yue,Kangjian He,Dan Xu:
  Affective image recognition with multi-attribute knowledge in deep neural networks.Multim. Tools Appl.83(6):18353-18379 (2024)
• 
  [j27]
  Yiqiao Zhou,Kangjian He,Dan Xu,Hongzhen Shi,Hao Zhang:
  A multi-weight fusion framework for infrared and visible image fusion.Multim. Tools Appl.83(27):68931-68957 (2024)
• 
  [j26]
  Chenou Liu,Kangjian He,Dan Xu,Hongzhen Shi,Hao Zhang,Kunyuan Zhao:
  RegFSC-Net: Medical Image Registration via Fourier Transform With Spatial Reorganization and Channel Refinement Network.IEEE J. Biomed. Health Informatics28(6):3489-3500 (2024)
• 
  [j25]
  Chengzhou Li,Kangjian He,Dan Xu,Yueying Luo,Yiqiao Zhou:
  MVSFusion: infrared and visible image fusion method for multiple visual scenarios.Vis. Comput.40(10):6739-6761 (2024)
• 
  [c11]
  Yi Li,Kangjian He,Dan Xu:
  SFNet: A Scaling-down Fusion Network for Infrared and Visible Images with Texture Attention.CACML2024:101-108
• 
  [c10]
  Songhan Zheng,Dan Xu,Kangjian He:
  Hyperspectral Image Super-Resolution Based on Dual-Domain Gated Attention Network.PRCV (13)2024:472-485
• 
  [c9]
  Shanshan Chen,Dan Xu,Kangjian He:
  Multimodal Medical Image Registration Using Optimized Phase Consistency Within Joint Frequency-Space Domain.PRCV (5)2024:497-510
• 2023
• 
  [j24]
  Yiqiao Zhou,Lisiqi Xie,Kangjian He,Dan Xu,Dapeng Tao,Xu Lin:
  Low-light image enhancement for infrared and visible image fusion.IET Image Process.17(11):3216-3234 (2023)
• 
  [j23]
  Chengzhou Li,Kangjian He,Dan Xu,Dapeng Tao,Xu Lin,Hongzhen Shi,Wenxia Yin:
  Superpixel-based adaptive salient region analysis for infrared and visible image fusion.Neural Comput. Appl.35(30):22511-22529 (2023)
• 
  [j22]
  Kangjian He,Xuejie Zhang,Dan Xu,Jian Gong,Lisiqi Xie:
  Fidelity-driven Optimization Reconstruction and Details Preserving Guided Fusion for Multi-Modality Medical Image.IEEE Trans. Multim.25:4943-4957 (2023)
• 
  [j21]
  Yanan Liu,Hao Zhang,Yanqiu Li,Kangjian He,Dan Xu:
  Skeleton-based Human Action Recognition via Large-kernel Attention Graph Convolutional Network.IEEE Trans. Vis. Comput. Graph.29(5):2575-2585 (2023)
• 
  [j20]
  Lingxiang Kong,Tao Yang,Lisiqi Xie,Dan Xu,Kangjian He:
  Cascade connection-based channel attention network for bidirectional medical image registration.Vis. Comput.39(11):5527-5545 (2023)
• 
  [j19]
  Wenxia Yin,Kangjian He,Dan Xu,Yingying Yue,Yueying Luo:
  Adaptive low light visual enhancement and high-significant target detection for infrared and visible image fusion.Vis. Comput.39(12):6723-6742 (2023)
• 
  [c8]
  Xiao Han,Hao Zhang,Zhaoyu Xiong,Yanan Liu,Kangjian He,Dan Xu:
  Boosting Image Emotion Analysis via Coupling Dependent Attentive Model.ICIGP2023:76-82
• 
  [c7]
  Kai Chen,Kangjian He,Dan Xu:
  Multi-autoencoder with Perceptual Loss-Based Network for Infrared and Visible Image Fusion.ICIGP2023:104-110
• 
  [c6]
  Wenbo Liu,Kangjian He,Dan Xu:
  D2BEGAN: A Dual-Discriminator Boundary Equilibrium Generative Adversarial Network for Infrared and Visible Image Fusion.ICIGP2023:127-134
• 2022
• 
  [j18]
  Yingying Yue,Dan Xu,Kangjian He,Hongzhen Shi,Hao Zhang:
  OsaMOT: Occlusion and scale-aware multi-object tracking algorithm for low viewpoint.IET Image Process.16(2):622-640 (2022)
• 
  [j17]
  Yueying Luo,Kangjian He,Dan Xu,Wenxia Yin:
  Infrared and visible image fusion based on visibility enhancement and norm optimization low-rank representation.J. Electronic Imaging31(1) (2022)
• 
  [j16]
  Yanan Liu,Hao Zhang,Dan Xu,Kangjian He:
  Graph transformer network with temporal kernel attention for skeleton-based action recognition.Knowl. Based Syst.240:108146 (2022)
• 
  [j15]
  Kangjian He,Jian Gong,Dan Xu:
  Focus-pixel estimation and optimization for multi-focus image fusion.Multim. Tools Appl.81(6):7711-7731 (2022)
• 
  [j14]
  Hao Zhang,Dan Xu,Gaifang Luo,Kangjian He:
  Learning multi-level representations for affective image recognition.Neural Comput. Appl.34(16):14107-14120 (2022)
• 
  [j13]
  Wenxia Yin,Kangjian He,Dan Xu,Yueying Luo,Jian Gong:
  Adaptive enhanced infrared and visible image fusion using hybrid decomposition and coupled dictionary.Neural Comput. Appl.34(23):20831-20849 (2022)
• 
  [c5]
  Jian Gong,Haipeng Li,Dan Xu,Kangjian He,Hao Zhang,Chao Zhang,Zhong Luo:
  Precision Inspection and Evaluation System for Paper Packaging of Cigarettes.ICIGP2022:9-14
• 
  [c4]
  Yuting Fu,Dan Xu,Kangjian He,Haipeng Li,Tingting Zhang:
  Image Inpainting Based on Edge Features and Attention Mechanism.ICIGP2022:64-71
• 2021
• 
  [j12]
  Kangjian He,Dapeng Tao,Dan Xu:
  Adaptive colour restoration and detail retention for image enhancement.IET Image Process.15(14):3685-3697 (2021)
• 
  [j11]
  Kangjian He,Jian Gong,Lisiqi Xie,Xuejie Zhang,Dan Xu:
  Regions Preserving Edge Enhancement for Multisensor-Based Medical Image Fusion.IEEE Trans. Instrum. Meas.70:1-13 (2021)
• 
  [j10]
  Hongzhen Shi,Dan Xu,Kangjian He,Hao Zhang,Yingying Yue:
  Contrastive learning for a single historical painting's blind super-resolution.Vis. Informatics5(4):81-88 (2021)
• 
  [c3]
  Yan Zhao,Dan Xu,Kangjian He:
  AMF-UNet: A CT Image Segmentation Approach of Pulmonary Tuberculosis.ICIGP2021:182-188

• 2019
• 
  [j9]
  Kangjian He,Dongming Zhou,Xuejie Zhang,Rencan Nie,Xin Jin:
  Multi-focus image fusion combining focus-region-level partition and pulse-coupled neural network.Soft Comput.23(13):4685-4699 (2019)
• 
  [j8]
  Xiaopeng Guo,Rencan Nie,Jinde Cao,Dongming Zhou,Liye Mei,Kangjian He:
  FuseGAN: Learning to Fuse Multi-Focus Image via Conditional Generative Adversarial Network.IEEE Trans. Multim.21(8):1982-1996 (2019)
• 
  [c2]
  Lingyu Meng,Rencan Nie,Xiaopeng Guo,Min He,Kangjian He:
  MRI and PET/SPECT fusion with pseudo spatial frequency in local laplacian filter domain.IEEA2019:226-233
• 2018
• 
  [j7]
  Kangjian He,Ruxin Wang,Dapeng Tao,Jun Cheng,Weifeng Liu:
  Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems.IEEE Access6:32850-32860 (2018)
• 
  [j6]
  Kangjian He,Dongming Zhou,Xuejie Zhang,Rencan Nie:
  Multi-focus: Focused region finding and multi-scale transform for image fusion.Neurocomputing320:157-170 (2018)
• 
  [j5]
  Kangjian He,Dongming Zhou,Xuejie Zhang,Rencan Nie:
  Infrared and Visible Image Fusion Combining Interesting Region Detection and Nonsubsampled Contourlet Transform.J. Sensors2018:5754702:1-5754702:15 (2018)
• 
  [j4]
  Xin Jin,Jingyu Hou,Rencan Nie,Shaowen Yao,Dongming Zhou,Qian Jiang,Kangjian He:
  A lightweight scheme for multi-focus image fusion.Multim. Tools Appl.77(18):23501-23527 (2018)
• 
  [j3]
  Xin Jin,Dongming Zhou,Shaowen Yao,Rencan Nie,Qian Jiang,Kangjian He,Quan Wang:
  Multi-focus image fusion method using S-PCNN optimized by particle swarm optimization.Soft Comput.22(19):6395-6407 (2018)
• 2016
• 
  [j2]
  Xin Jin,Rencan Nie,Dongming Zhou,Quan Wang,Kangjian He:
  Multifocus Color Image Fusion Based on NSST and PCNN.J. Sensors2016:8359602:1-8359602:12 (2016)
• 
  [j1]
  Quan Wang,Rencan Nie,Xin Jin,Dongming Zhou,Kangjian He,Jiefu Yu:
  基于拉普拉斯金字塔与PCNN-SML的图像融合算法 (Image Fusion Algorithm Using LP Transformation and PCNN-SML).计算机科学43(Z6):122-124 (2016)
• 
  [c1]
  Xin Jin,Dongming Zhou,Shaowen Yao,Rencan Nie,Quan Wang,Kangjian He:
  Analysis of Similarity/Dissimilarity of DNA Sequences Based on Pulse Coupled Neural Network.MIWAI2016:279-287

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