Analysis of Similarity/Dissimilarity of DNA Sequences Based on Pulse Coupled Neural Network. - Xin Jin 005; Dongming Zhou; Shaowen Yao 001; Rencan Nie; Quan Wang; Kangjian He (MIWAI, 2016)

Multifocus Color Image Fusion Based on NSST and PCNN. - Xin Jin 005; Rencan Nie; Dongming Zhou; Quan Wang; Kangjian He (J. Sensors, 2016)

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). - Quan Wang; Rencan Nie; Xin Jin 005; Dongming Zhou; Kangjian He; Jiefu Yu (计算机科学, 2016)

Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems. - Kangjian He; Ruxin Wang 002; Dapeng Tao; Jun Cheng 002; Weifeng Liu 001 (IEEE Access, 2018)

Multi-focus: Focused region finding and multi-scale transform for image fusion. - Kangjian He; Dongming Zhou; Xuejie Zhang 002; Rencan Nie (Neurocomputing, 2018)

Infrared and Visible Image Fusion Combining Interesting Region Detection and Nonsubsampled Contourlet Transform. - Kangjian He; Dongming Zhou; Xuejie Zhang 002; Rencan Nie (J. Sensors, 2018)

A lightweight scheme for multi-focus image fusion. - Xin Jin 005; Jingyu Hou 001; Rencan Nie; Shaowen Yao 001; Dongming Zhou; Qian Jiang; Kangjian He (Multim. Tools Appl., 2018)

Multi-focus image fusion method using S-PCNN optimized by particle swarm optimization. - Xin Jin 005; Dongming Zhou; Shaowen Yao 001; Rencan Nie; Qian Jiang; Kangjian He; Quan Wang (Soft Comput., 2018)

MRI and PET/SPECT fusion with pseudo spatial frequency in local laplacian filter domain. - Lingyu Meng; Rencan Nie; Xiaopeng Guo; Min He; Kangjian He (IEEA, 2019)

Multi-focus image fusion combining focus-region-level partition and pulse-coupled neural network. - Kangjian He; Dongming Zhou; Xuejie Zhang 002; Rencan Nie; Xin Jin 005 (Soft Comput., 2019)

FuseGAN: Learning to Fuse Multi-Focus Image via Conditional Generative Adversarial Network. - Xiaopeng Guo; Rencan Nie; Jinde Cao; Dongming Zhou; Liye Mei; Kangjian He (IEEE Trans. Multim., 2019)

AMF-UNet: A CT Image Segmentation Approach of Pulmonary Tuberculosis. - Yan Zhao; Dan Xu 001; Kangjian He (ICIGP, 2021)

Adaptive colour restoration and detail retention for image enhancement. - Kangjian He; Dapeng Tao; Dan Xu 001 (IET Image Process., 2021)

Regions Preserving Edge Enhancement for Multisensor-Based Medical Image Fusion. - Kangjian He; Jian Gong; Lisiqi Xie; Xuejie Zhang 002; Dan Xu 001 (IEEE Trans. Instrum. Meas., 2021)

Contrastive learning for a single historical painting's blind super-resolution. - Hongzhen Shi; Dan Xu 001; Kangjian He; Hao Zhang 110; Yingying Yue (Vis. Informatics, 2021)

Image Inpainting Based on Edge Features and Attention Mechanism. - Yuting Fu; Dan Xu 001; Kangjian He; Haipeng Li; Tingting Zhang (ICIGP, 2022)

Precision Inspection and Evaluation System for Paper Packaging of Cigarettes. - Jian Gong; Haipeng Li; Dan Xu 001; Kangjian He; Hao Zhang 110; Chao Zhang; Zhong Luo (ICIGP, 2022)

OsaMOT: Occlusion and scale-aware multi-object tracking algorithm for low viewpoint. - Yingying Yue; Dan Xu 001; Kangjian He; Hongzhen Shi; Hao Zhang 110 (IET Image Process., 2022)

Infrared and visible image fusion based on visibility enhancement and norm optimization low-rank representation. - Yueying Luo; Kangjian He; Dan Xu 001; Wenxia Yin (J. Electronic Imaging, 2022)

Graph transformer network with temporal kernel attention for skeleton-based action recognition. - Yanan Liu; Hao Zhang 110; Dan Xu 001; Kangjian He (Knowl. Based Syst., 2022)

Focus-pixel estimation and optimization for multi-focus image fusion. - Kangjian He; Jian Gong; Dan Xu 001 (Multim. Tools Appl., 2022)

Adaptive enhanced infrared and visible image fusion using hybrid decomposition and coupled dictionary. - Wenxia Yin; Kangjian He; Dan Xu 001; Yueying Luo; Jian Gong (Neural Comput. Appl., 2022)

Learning multi-level representations for affective image recognition. - Hao Zhang 110; Dan Xu 001; Gaifang Luo; Kangjian He (Neural Comput. Appl., 2022)

Multi-autoencoder with Perceptual Loss-Based Network for Infrared and Visible Image Fusion. - Kai Chen; Kangjian He; Dan Xu 001 (ICIGP, 2023)

Boosting Image Emotion Analysis via Coupling Dependent Attentive Model. - Xiao Han; Hao Zhang 110; Zhaoyu Xiong; Yanan Liu; Kangjian He; Dan Xu 001 (ICIGP, 2023)

D2BEGAN: A Dual-Discriminator Boundary Equilibrium Generative Adversarial Network for Infrared and Visible Image Fusion. - Wenbo Liu; Kangjian He; Dan Xu 001 (ICIGP, 2023)

Low-light image enhancement for infrared and visible image fusion. - Yiqiao Zhou; Lisiqi Xie; Kangjian He; Dan Xu 001; Dapeng Tao; Xu Lin (IET Image Process., 2023)

Fidelity-driven Optimization Reconstruction and Details Preserving Guided Fusion for Multi-Modality Medical Image. - Kangjian He; Xuejie Zhang 002; Dan Xu 001; Jian Gong; Lisiqi Xie (IEEE Trans. Multim., 2023)

Skeleton-based Human Action Recognition via Large-kernel Attention Graph Convolutional Network. - Yanan Liu; Hao Zhang 110; Yanqiu Li; Kangjian He; Dan Xu 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Superpixel-based adaptive salient region analysis for infrared and visible image fusion. - Chengzhou Li; Kangjian He; Dan Xu 001; Dapeng Tao; Xu Lin; Hongzhen Shi; Wenxia Yin (Neural Comput. Appl., 2023)

Cascade connection-based channel attention network for bidirectional medical image registration. - Lingxiang Kong; Tao Yang; Lisiqi Xie; Dan Xu 001; Kangjian He (Vis. Comput., 2023)

Adaptive low light visual enhancement and high-significant target detection for infrared and visible image fusion. - Wenxia Yin; Kangjian He; Dan Xu 001; Yingying Yue; Yueying Luo (Vis. Comput., 2023)

SFNet: A Scaling-down Fusion Network for Infrared and Visible Images with Texture Attention. - Yi Li; Kangjian He; Dan Xu 001 (CACML, 2024)

Multimodal Medical Image Registration Using Optimized Phase Consistency Within Joint Frequency-Space Domain. - Shanshan Chen; Dan Xu 001; Kangjian He (PRCV (5), 2024)

Hyperspectral Image Super-Resolution Based on Dual-Domain Gated Attention Network. - Songhan Zheng; Dan Xu 001; Kangjian He (PRCV (13), 2024)

ASFusion: Adaptive visual enhancement and structural patch decomposition for infrared and visible image fusion. - Yiqiao Zhou; Kangjian He; Dan Xu 001; Dapeng Tao; Xu Lin; Chengzhou Li (Eng. Appl. Artif. Intell., 2024)

Fidelity based visual compensation and salient information rectification for infrared and visible image fusion. - Yueying Luo; Dan Xu 001; Kangjian He; Hongzhen Shi; Jian Gong (Knowl. Based Syst., 2024)

Affective image recognition with multi-attribute knowledge in deep neural networks. - Hao Zhang 110; Gaifang Luo; Yingying Yue; Kangjian He; Dan Xu 001 (Multim. Tools Appl., 2024)

RegFSC-Net: Medical Image Registration via Fourier Transform With Spatial Reorganization and Channel Refinement Network. - Chenou Liu; Kangjian He; Dan Xu 001; Hongzhen Shi; Hao Zhang 110; Kunyuan Zhao (IEEE J. Biomed. Health Informatics, 2024)

A multi-weight fusion framework for infrared and visible image fusion. - Yiqiao Zhou; Kangjian He; Dan Xu 001; Hongzhen Shi; Hao Zhang 110 (Multim. Tools Appl., 2024)

MVSFusion: infrared and visible image fusion method for multiple visual scenarios. - Chengzhou Li; Kangjian He; Dan Xu 001; Yueying Luo; Yiqiao Zhou (Vis. Comput., 2024)

Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation. - Kuanghong Liu; Jin Wang 008; Kangjian He; Dan Xu 001; Xuejie Zhang 002 (AAAI, 2025)

A dual-domain framework for multimodal medical image registration: Optimizing phase consistency with LPC-GIMI. - Shanshan Chen; Kangjian He; Dan Xu 001; Hongzhen Shi; Rong Zeng (Biomed. Signal Process. Control., 2025)

Cross-subject emotion recognition with contrastive learning based on EEG signal correlations. - Mengting Hu; Dan Xu 001; Kangjian He; Kunyuan Zhao; Hao Zhang 110 (Biomed. Signal Process. Control., 2025)

A lightweight medical image fusion network by structural similarity pseudo labels iteration. - Wencheng Mei; Kangjian He; Dan Xu 001; Songhan Zheng; Jundong Zhang (Biomed. Signal Process. Control., 2025)

BTSegDiff: Brain tumor segmentation based on multimodal MRI Dynamically guided diffusion probability model. - Jiacheng Qin; Dan Xu 001; Hao Zhang 110; Zhaoyu Xiong; Yejing Yuan; Kangjian He (Comput. Biol. Medicine, 2025)

TSSA-Net: Transposed Sparse Self-Attention-based network for image super-resolution. - Guanhao Chen; Dan Xu 001; Kangjian He; Hongzhen Shi; Hao Zhang 110 (Eng. Appl. Artif. Intell., 2025)

LIGFusion: a light-integrated and guided fusion method for multimodal image fusion. - Tao Feng; Kangjian He; Geng Yue; Junkai Yin (J. Electronic Imaging, 2025)

Infrared and visible image fusion based on hybrid multi-scale decomposition and adaptive contrast enhancement. - Yueying Luo; Kangjian He; Dan Xu 001; Hongzhen Shi; Wenxia Yin (Signal Process. Image Commun., 2025)

MDH-Net: advancing 3D brain MRI registration with multi-stage transformer and dual-stream feature refinement hybrid network. - Chenou Liu; Kangjian He; Dan Xu 001; Hongzhen Shi (J. Supercomput., 2025)

CLIP-Based Natural Language-Guided Low-Redundancy Fusion of Infrared and Visible Images. - Jundong Zhang; Kangjian He; Dan Xu 001; Hongzhen Shi (IEEE Trans. Consumer Electron., 2025)

CycleFusion: Automatic Annotation and Graph-to-Graph Transaction Based Cycle-Consistent Adversarial Network for Infrared and Visible Image Fusion. - Yueying Luo; Wenbo Liu; Kangjian He; Dan Xu 001; Hongzhen Shi; Hao Zhang 110 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

$ hbox {KD}^{3}$mt: knowledge distillation-driven dynamic mixer transformer for medical image fusion. - Zhaijuan Ding; Yanyu Liu; Sen Liu; Kangjian He; Dongming Zhou (Vis. Comput., 2025)

Multi-modality medical image fusion by edge supervising and multi-scale attention features extraction. - Wencheng Mei; Kangjian He; Dan Xu 001; Siqi Xie; Yiqiao Zhou (J. Supercomput., 2025)