现为1066vip威尼斯下载信息学院教授，博士，博士生导师。2014年获得1066vip威尼斯下载通信与信息系统专业博士学位。兼云南省高等学校电工电子基础课程教学指导委员会秘书长、云南省信息通信工程高级工程师评审委员会委员、中国高校电工电子在线开放课程联盟西南地区工作委员会委员等。长期从事深度神经网络计算、复杂神经系统、智能图像处理等的研究工作。主持2项国家自然科学基金、1项博士后科研基金面上项目、2项省应用基础研究项目，及多项厅校级项目。发表论文60余篇，其中以第一作者、通讯作者，在《IEEE Transactions on Circuits and Systems for Video Technology》、《IEEE Transactions on Multimedia》、《IEEE Transactions on Instrumentation and Measurement》、《通信学报》等国内外重要学术期刊发表论文近30篇；以第一顺序发明人申请公开职务发明专利5项。长期作为IEEE汇刊TNLS,TMM、TCDS等的审稿人。

[1]   R. Nie（聂仁灿）, C. Ma, J. Cao, D. Zhou, H. Ding. A Total Variation with Joint Norms for Infrared and Visible Image Fusion[J], IEEE Transactions on Multimedia, 24:1460-1472, 2021.

[2]   R. Nie（聂仁灿）, J. Cao, D. Zhou, W. Qian. Multi-Source Information Exchange Encoding with PCNN for Medical Image Fusion[J], IEEE Transactions on Circuits and Systems for Video Technology, 31(3): 986-1000, 2020.

[3]   B. Jin, R. Nie*（聂仁灿）, J. Cao, Y. Zhang, and D. Li. CHFusion: A Cross-modality High-resolution Representation Framework for Infrared and Visible Image Fusion[J], IEEE Transactions on Multimedia, 2023, doi: 10.1109/TMM.2023.3294814.

[4]   Y. Zhang, R. Nie*（聂仁灿）, J. Cao, C. Ma. Self-Supervised Fusion for Multi-Modal Medical Images via Contrastive Auto-Encoding and Convolutional Information Exchange[J], IEEE Computational Intelligence Magazine, 18(1): 68-80, 2023.

[5]   G. Zhang, R. Nie*（聂仁灿）, and J. Cao. SSL-WAEIE: Self-Supervised Learning with Weighted Auto-Encoding and Information Exchange for Infrared and Visible Image Fusion[J], IEEE-CAA Journal of Automatica Sinica, 9(9): 1694-1697, 2022.

[6]   C. Wang, R. Nie*（聂仁灿）, J. Cao, X. Wang, Y. Zhang. IGNFusion: An Unsupervised Information Gate Network for Multimodal Medical Image Fusion[J], IEEE Journal of Selected Topics in Signal Processing, 16(4): 854-868, 2022.

[7]   X. Guo, R. Nie*（聂仁灿）, J. Cao, D. Zhou, L. Mei, K. He. FuseGAN: Learning to Fuse Multi-Focus Image via Conditional Generative Adversarial Network[J], IEEE Transactions on Multimedia, 21(8): 1982-1996, 2019.

[8]   H. Li, R. Nie*（聂仁灿）, J. Cao, B. Jin and Y. Han. MPEFNet: Multilevel Progressive Enhancement Fusion Network for Pansharpening[J], IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16:9358-9368, 2023.

[9]   M. He, S. Yu, R. Nie*（聂仁灿）, C. Wang, X. Wang. Preference Learning to Multi-Focus Image Fusion via Generative Adversarial Network[J], IEEE Transactions on Cognitive and Developmental Systems, 14(4): 1604-1614, 2021.

[10] C. Ma, R. Nie*（聂仁灿）, H. Ding, J. Cao, J. Mei. A Fractional-Order Variation with a Novel Norm to Fuse Infrared and Visible Images[J], IEEE Transactions on Instrumentation and Measurement, 72: 1-12, 2023.

[11] H. Li, R. Nie*（聂仁灿）, J. Cao, X. Guo, D. Zhou, K. He. Multi-focus image fusion using u-shaped networks with a hybrid objective[J], IEEE Sensors Journal, 19(21): 9755-9765, 2019.

[12] Y. Zhang, R. Nie*（聂仁灿）, J. Cao, C. Ma, and C. Wang. SS-SSAN: a self-supervised subspace attentional network for multi-modal medical image fusion[J], Artificial Intelligence Review, 56(S1):421-443, 2023.

[13] S. Liang, R. Nie*（聂仁灿）, J. Cao, X. Wang, G. Zhang. FCF: Feature complement fusion network for detecting COVID-19 through CT scan images[J], Applied Soft Computing, 109111, 2022.

[14] G. Zhang, R. Nie*（聂仁灿）, J. Cao, L. Chen, Y. Zhu. FDGNet: A pair feature difference guided network for multimodal medical image fusion[J], Biomedical Signal Processing and Control, 81: 104545, 2022.

[15] Y. Han, R. Nie*（聂仁灿）, J. Cao, S. Liang, and L. Pan. IE-CFRN: Information exchange-based collaborative feature representation network for multi-modal medical image fusion[J], Biomedical Signal Processing and Control,86:105301, 2023.

[16] X. Yang, R. Nie*（聂仁灿）, G. Zhang, L. Chen, H. Li. DPAFNet: A Multistage Dense-Parallel Attention Fusion Network for Pansharpening[J], Remote Sensing, 14(21): 5539, 2022.

[17] Z. Guan, X. Wang, R. Nie*（聂仁灿）, S. Yu, C. Wang. NCDCN: multi-focus image fusion via nest connection and dilated convolution network[J], Applied Intelligence, 1-16, 2022. L. Chen, X. Wang, Y. Zhu, R. Nie*（聂仁灿）. Multi-level difference information replenishment for medical image fusion[J], Applied Intelligence, 53(4): 4579-4591, 2022.

[18] L. Pan, R. Nie*（聂仁灿）, G. Zhang, J. Cao, and Y. Han. WAE-TLDN: self-supervised fusion for multimodal medical images via a weighted autoencoder and a tensor low-rank decomposition network[J]. Applied Intelligence, 2024, doi:10.1007/s10489-023-05097-z.

[19] R. Nie（聂仁灿） , M. He M , J. Cao, et al. Pulse coupled neural network based MRI image enhancement using classical visual receptive field for smarter mobile healthcare[J]. Journal of Ambient Intelligence and Humanized Computing, 10:4059-4070, 2019.

[20] Y. Zhu, X. Wang, L. Chen, R. Nie*（聂仁灿）. CEFusion: Multi-Modal medical image fusion via cross encoder[J], IET Image Processing, 16(12): 3177-3189, 2022.

[21] C. Wang, Y. Pu, X. Wang, C. Ma, and R. Nie*（聂仁灿）. MCNN: Conditional focus probability learning to multi-focus image fusion via mutually coupled neural network[J], IET Image Processing, 17(8): 2422-2436, 2023.

[22] J. Mei, Y. Liu, C. Wang, D. Zhou, R. Nie（聂仁灿）, J. Cao. Asymmetric Global-Local Mutual Integration Network for RGBT Tracking[J], IEEE Transactions on Instrumentation and Measurement, 71, 2022.

[23] Y. Zang, D. Zhou, C. Wang, R. Nie（聂仁灿）, Y. Guo. UFA-FUSE: A novel deep supervised and hybrid model for multifocus image fusion[J], IEEE Transactions on Instrumentation and Measurement, 70, 1-17, 2021.

[24] R. Hou, D. Zhou, R. Nie（聂仁灿）, D. Liu, L. Xiong, Y. Guo, C. Yu. VIF-Net: an unsupervised framework for infrared and visible image fusion[J], IEEE Transactions on Computational Imaging, 6, 640-651, 2020.

[25] J. Mei, D. Zhou, J. Cao, R. Nie（聂仁灿）, Y. Guo. HDINet: hierarchical dual-sensor interaction Network for RGBT tracking[J], IEEE Sensors Journal, 21, 16915-16926, 2021.

[26] C. Wang, D. Zhou, Y. Zang, R. Nie（聂仁灿）, Y. Guo. A Deep and Supervised Atrous Convolutional Model for Multi-Focus Image Fusion[J], IEEE Sensors Journal, 21(20): 23069-23084, 2021.

[27] H. Li, W Qian, R. Nie（聂仁灿）, et al. Siamese conditional generative adversarial network for multi-focus image fusion[J]. Applied Intelligence, 53(14): 17492-17507, 2023. Y. Liu, Y. Zang, D. Zhou, J. Cao, R. Nie（聂仁灿）, et al. An Improved Hybrid Network with a Transformer Module for Medical Image Fusion[J]. IEEE Journal of Biomedical and Health Informatics, 27 (7): 3489-3500, 2023.

[28] Y. Liu, D. Zhou, R. Nie（聂仁灿）, et al. Green fluorescent protein and phase contrast image fusion via Spectral TV filter-based decomposition[J]. Biomedical Signal Processing and Control, 79: 104265, 2023.

[29] W. Yin, D. Zhou, R. Nie（聂仁灿）. Di-unet: dual-branch interactive u-net for skin cancer image segmentation[J]. Journal of Cancer Research and Clinical Oncology, 149(17): 15511-15524, 2023.

[30] C. Wang, Y. Zang, D. Zhou, J. Mei, R. Nie（聂仁灿）, et al. Robust multi-focus image fusion using focus property detection and deep image matting[J]. Expert Systems with Applications, 237: 121389, 2024.

[31] F. Kong, Y. Pu, I. Lee, R. Nie（聂仁灿）, et al. Unpaired Artistic Portrait Style Transfer via Asymmetric Double-Stream GAN[J]. IEEE Transactions on Neural Networks and Learning Systems, 34(9): 5427-5439, 2023.

[32] C. Wang, Y. Zang, D. Zhou, R. Nie（聂仁灿）, et al. An interactive deep model combined with Retinex for low-light visible and infrared image fusion[J]. Neural Computing and Applications, 35(16): 11733-11751, 2023.

[33] J. Zhang, W. Qian, R. Nie（聂仁灿）, et al. Generate adversarial examples by adaptive moment iterative fast gradient sign method[J]. Applied Intelligence, 53(1): 1101-1114, 2023.

[34]  聂仁灿, 周冬明, 赵东风,等. 竞争型脉冲耦合神经网络及用于多约束QoS路由求解[J]. 通信学报, 2010, 31(1):65-72，doi:10.3969/j.issn.1000-436X.2010.01.010.

[35] [18]聂仁灿, 姚绍文, 周冬明,等. 基于脉冲耦合神经网络的椒盐噪声滤波[J]. 激光与红外, 2013, 43(6):689-693, doi:10.3969/j.issn.1001-5078.2013.06.020

[36] 聂仁灿, 姚绍文, 周冬明. 基于简化脉冲耦合神经网络的人脸识别[J]. 计算机科学, 2014, 41(2):297-301,doi: 10.3969/j.issn.1002-137X.2014.02.065

[37] 聂仁灿,何敏，周冬明，余江.一种视觉表格图像全局阈值分割算法[J]. 激光与红外, 2016,05,doi：10.3969/j.issn.1001-5078.2017.02.021

[1]   云南省基础研究计划重点项目：“高级视觉任务驱动的红外与可见光图像融合研究”（202301AS070025），2023.6-至今

[2]   国家基金地区项目：“面向多源图像融合贡献估计的多源脉冲信息交换编码与分数阶变分方法” (61966037), 2020.1-2023.12，主持。

[3]   中国博士后科学基金面上项目：“多源图像融合的脉冲信息交换表示与贡献度量方法研究”(2017M621586)，2018.1-2020.12，主持。

[4]   国家自然科学基金项目“视感知模型脉冲耦合神经网络的图像特征提取及应用研究” 2015.1-2018.12，主持。

[5]   省科技厅项目“视感知模型PCNN的图像特征提取与应用研究” 2012.10-2015.9， 主持。

[6]   教育厅项目“视觉皮层的视感知模型理论与应用研究”2010.9-2012.8， 主持。

[7]   1066vip威尼斯下载“视觉皮层模型中的脉冲振荡相关性理论与应用研究”2010.1-2010.12， 主持。

[8]   国家自然科学基金项目“视觉皮层神经元模型的脉冲同步振荡相关性理论及应用研究” 2011.1-2013.12， 参与（排名第二）。

[9]   国家自然科学基金项目“视觉皮层神经元脉冲同步振荡信息的图像融合技术研究” 2014.1-2017.12， 参与（排名第二）。

[10] 省科技厅项目“国家农村信息化示范省综合信息服务平台建设关键技术研发与应用” 2014.6-2016.12 参与（排名第三）。

[11] 国家自然科学基金项目“轮询服务系统的优化及接入控制应用研究” 2015.1-2018.12 参与（排名第四）。

“中关村青联杯”第十二届全国研究生数学建模竞赛”2015.12 三等奖，指导教师

“美国大学生数学建模竞赛”2015.12  二等奖，指导教师 

“大学生创新创业训练计划项目”2013.11  特优，指导教师

“全国大学生电子设计竞赛” 2014.3 本科组云南赛区三等奖，指导教师