Infrared and Visible Image Fusion via Multi-discriminators Wasserstein Generative Adversarial Network. - Jing Li 040; Hongtao Huo; Kejian Liu; Chang Li 001; Shuo Li; Xin Yang (ICMLA, 2019)

Poisson Reconstruction-Based Fusion of Infrared and Visible Images via Saliency Detection. - Jing Li 040; Hongtao Huo; Chenhong Sui; Chenchen Jiang; Chang Li 001 (IEEE Access, 2019)

Infrared and visible image fusion using dual discriminators generative adversarial networks with Wasserstein distance. - Jing Li 040; Hongtao Huo; Kejian Liu; Chang Li 001 (Inf. Sci., 2020)

Multigrained Attention Network for Infrared and Visible Image Fusion. - Jing Li 040; Hongtao Huo; Chang Li 001; Renhua Wang; Chenhong Sui; Zhao Liu (IEEE Trans. Instrum. Meas., 2021)

AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks. - Jing Li 040; Hongtao Huo; Chang Li 001; Renhua Wang; Qi Feng (IEEE Trans. Multim., 2021)

An Attention-Guided and Wavelet-Constrained Generative Adversarial Network for Infrared and Visible Image Fusion. - Xiaowen Liu; Renhua Wang; Hongtao Huo; Xin Yang; Jing Li 040 (CoRR, 2022)

DSG-Fusion: Infrared and visible image fusion via generative adversarial networks and guided filter. - Xin Yang; Hongtao Huo; Jing Li 040; Chang Li 001; Zhao Liu; Xun Chen 001 (Expert Syst. Appl., 2022)

CGTF: Convolution-Guided Transformer for Infrared and Visible Image Fusion. - Jing Li 040; Jianming Zhu; Chang Li 001; Xun Chen 001; Bin Yang 008 (IEEE Trans. Instrum. Meas., 2022)

Enhancing Spatial Resolution of Building Datasets Using Transformer-Based Single-Image Super-Resolution. - Yuwei Cai; Hongjie He; Zhimeng He; Michael A. Chapman; Jing Li 040; Lingfei Ma; Jonathan Li 001 (IGARSS, 2023)

Graph Representation Learning for Infrared and Visible Image Fusion. - Jing Li 040; Lu Bai 001; Bin Yang 008; Chang Li 001; Lingfei Ma; Edwin R. Hancock (CoRR, 2023)

From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial-Channel Augmentation for Hyperspectral Images. - Bin Yang 008; Yin Mao; Licheng Liu; Xinxin Liu 002; Yuzhong Ma; Jing Li 040 (IEEE Trans. Geosci. Remote. Sens., 2023)

TFIV: Multigrained Token Fusion for Infrared and Visible Image via Transformer. - Jing Li 040; Bin Yang 008; Lu Bai 001; Hao Dou; Chang Li 001; Lingfei Ma (IEEE Trans. Instrum. Meas., 2023)

QBER: Quantum-based Entropic Representations for un-attributed graphs. - Lixin Cui; Ming Li 065; Lu Bai 001; Yue Wang 014; Jing Li 040; Yanchao Wang; Zhao Li 007; Yunwen Chen; Edwin R. Hancock (Pattern Recognit., 2024)

RdmkNet & Toronto-RDMK: Large-Scale Datasets for Road Marking Classification and Segmentation. - Jing Du 007; Lingfei Ma; Jing Li 040; Nannan Qin; John S. Zelek; Haiyan Guan; Jonathan Li 001 (IEEE Trans. Intell. Transp. Syst., 2024)

CEFusion: An Infrared and Visible Image Fusion Network Based on Cross-Modal Multi-Granularity Information Interaction and Edge Guidance. - Bin Yang 008; Yuxuan Hu; Xiaowen Liu; Jing Li 040 (IEEE Trans. Intell. Transp. Syst., 2024)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Jing Li 040; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2024)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Jing Li 040; Philip S. Yu; Edwin R. Hancock (ICDE, 2025)

A multi-level detection guided and co-encoding network for infrared and visible image fusion. - Bowen Zheng; Renhua Wang; Xiaowen Liu; Jing Li 040 (Pattern Recognit., 2025)

Graph Representation Learning for Infrared and Visible Image Fusion. - Jing Li 040; Lu Bai 001; Bin Yang 008; Chang Li 001; Lingfei Ma (IEEE Trans Autom. Sci. Eng., 2025)

Dual-Modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. - Jing Li 040; Lu Bai 001; Bin Yang 008; Chang Li 001; Lingfei Ma; Lixin Cui; Edwin R. Hancock (IEEE Trans. Intell. Transp. Syst., 2025)