教师姓名： 金鑫
职称： 副教授
系所： 数字媒体技术系
研究领域： 人工神经网络模型及安全、图像处理、信息融合
电子邮件： xinjin@ynu.edu.cn
个人主页： https://www.researchgate.net/profile/Jin-Xin-10
教育背景
2013.09—2018.06，云南大学，信息与通信工程，博士（硕博连读）
2009.09—2013.06，河南师范大学，电子信息工程，本科
个人简介
金鑫，1987年出生，河南商丘人，云南省”兴滇英才支持计划”青年人才，云南省优秀青年基金项目主持人，2018年8月至 2020年10月在云南大学软件学院从事博士后研究，2020年11月被遴选为硕士生导师，2021年3月晋升副教授，先后主持国家自然科学基金1项，云南省基础研究计划项目2项，中国博士后基金会项目2项，云南省博士后定向资助1项，云南省教育厅项目2项，云南大学校级项目2项；先后在IEEE Transactions on Cybernetics、IEEE Transactions on Instrumentation & Measurement、IEEE Transactions on Geoscience and Remote Sensing、 IEEE Transactions on Consumer Electronics、IEEE Transactions on Emerging Topics in Computational Intelligence、 IEEE Transactions on Intelligent Vehicles 、Signal Processing、Engineering Applications of Artificial Intelligence 、Physica A: Statistical Mechanics and its Applications, Information Sciences、Expert Systems with Application、计算机辅助设计与图形学学报等杂志发表学术论文100余篇（H指数19，被引1300余次），其中SCI收录60余篇，申请专利10项（已授权5项），软件著作权2项；先后获得云南省科学技术奖自然科学奖三等奖、云南省博士后科研基金优秀成果奖励三等奖、云南省优秀博士毕业论文。
主要研究领域
1. 人工神经网络方面：人工神经网络的建模与理论分析、面向嵌入式系统的神经网络应用。
2. 图像处理与计算机视觉方面：图像目标检测、目标跟踪、超分辨率、识别、彩色化、增强、融合、去噪等。
3. 信息融合方面：多模态图像特征提取与融合、基于软计算模型的信息融合技术。
4. 信息安全方面：人工智能模型中的对抗攻击与防御、伪造/虚假图像检测、图像隐写。
代表性学术论著
部分第一作者或通讯作者期刊论文
[1]. Xin Jin; Dongming Zhou; Qian Jiang; Xing Chu; Shaowen Yao; Keqin Li; Wei Zhou. How to analyze the neurodynamic characteristics of pulse coupled neural networks? A theoretical analysis and case study of intersecting cortical model, IEEE Transactions on Cybernetics, 2022, 52(7): 6354-6368, https://ieeexplore.ieee.org/document/9325888. (SCI，中科院一区 Top，IF= 19.118 ，CCF推荐 B类）
[2]. Jin X, Jiang Q, Chu X, Xun L, Yao S, Li K, Zhou W. Brain Medical Image Fusion Using L2-Norm-Based Features and Fuzzy-Weighted Measurements in 2D Littlewood-Paley EWT Domain. IEEE Transactions on Instrumentation & Measurement, 2020, 69 (8):5900-5913. http://doi.org/10.1109/TIM.2019.2962849 （SCI，中科院二区Top，IF= 5.332 ）
[3]. Xin Jin, Pingfan Zhang, Qian Jiang, Shengfa Miao, Shaowen Yao, Wei Zhou, F-UNet++: Remote Sensing Image Fusion Based on Multipurpose Adaptive Shuffle Attention and Composite Multi-input Reconstruction Network, IEEE Transactions on Instrumentation & Measurement, 2022, 72: 9501815. （SCI，中科院二区Top，IF= 5.332 ）
[4]. Jianan Feng, Qian Jiang, Ching-Hsun Tseng, Xin Jin*, Ling Liu, Shaowen Yao, Wei Zhou, A Deep Multitask Convolutional Neural Network for Remote Sensing Image Super-resolution and Colorization, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5407915. （SCI，中科院一区 Top，CCF推荐 B类， IF= 8.125）
[5]. Qian Jiang, Shinjye Lee, Xiaojun Zeng, Xin Jin*, Jingyu Hou, Wei Zhou, Shaowen Yao, A Multi-focus Image Fusion Scheme Based on Similarity Measure of Transformed Isosceles Triangles between Intuitionistic Fuzzy Sets, IEEE Transactions on Instrumentation & Measurement, 2022, 71: 5013115. （SCI，中科院二区Top，IF= 5.332 ）
[6]. Hangying Liao, Qian Jiang, Xin Jin*, Ling Liu, Lin Liu, Shin-Jye Lee, Wei Zhou. MUGAN: Thermal Infrared Image Colorization Using Mixed-Skipping UNet and Generative Adversarial Network, IEEE Transactions on Intelligent Vehicles, 2022, 8 (4) , pp.2954-2969. https://ieeexplore.ieee.org/document/9935274/（SCI，中科院区一，IF= 5.009）
[7]. Qian Jiang, Xin Jin*, Xiaohui Cui*, Shaowen Yao, Keqin Li, Wei Zhou, A Lightweight Multimode Medical Image Fusion Method Using Similarity Measure between Intuitionistic Fuzzy Sets Joint Laplacian Pyramid, IEEE Transactions on Emerging Topics in Computational Intelligence,2023, 7(3): 631 - 647. (中科院二区，IF= 4.851)
[8]. Youwei He, Xin Jin*, Qian Jiang, Zien Cheng, Puming Wang, Wei Zhou, LKAT-GAN: A GAN for Thermal Infrared Image Colorization Based on Large Kernel and AttentionUNet-Transformer, IEEE Transactions on Consumer Electronics, 2023, 69( 3):478-489. (中科院二区，IF= 4.414)
[9]. Huanyu Guo, Xin Jin*, Qian Jiang, Michal Wozniak, Puming Wan, DMF-Net: A Dual Remote Sensing Image Fusion Network Based on Multi-Scale Convolutional Dense Connectivity with Performance Measure, IEEE Transactions on Instrumentation & Measurement, 2024, 73: 5013415. https://ieeexplore.ieee.org/document/10445492（SCI，中科院二区 top ）
[10]. Guorui Wang, Qian Jiang, Xin Jin*, Yu Lin, Yuanyu Wang, Wei Zhou*, SiamTDR :Time-efficient RGBT Tracking via Disentangled Representations, IEEE Transactions on Industrial Cyber-Physical Systems, 2023, 1: 167-181.
[11]. Xin Jin , Shanshan Huang, Qian Jiang , Shin-Jye Lee , Liwen Wu, and Shaowen Yao , Semisupervised Remote Sensing Image Fusion Using Multiscale Conditional Generative Adversarial Network With Siamese Structure, IEEE Journal of Selected Topics in Applied Earth Observations And Remote Sensing , 2021, 14: 7066–7084. (SCI，中科院二区top ，IF= 5.5).
[12]. Xin Jin, Ling Liu, Xiaoxuan Ren, Qian Jiang, Shin-Jye Lee, Jun Zhang, Shaowen Yao, A Restoration Scheme for Spatial and Spectral Resolution of Panchromatic Image Using Convolutional Neural Network, IEEE Journal of Selected Topics in Applied Earth Observations And Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17:3379 - 3393. (SCI，中科院二区top ， IF= 5.5).
[13]. Xin Jin, Pingfan Zhang, Youwei He, Jiang Qian, Puming Wang, Jingyu Hou, Wei Zhou, Shaowen Yao, A Theoretical Analysis of Continuous Firing Condition for Pulse-coupled Neural Networks with its Applications, Engineering Applications of Artificial Intelligence, 2023,126:107101. https://doi.org/10.1016/j.engappai.2023.107101.（SCI，中科院二区，top，IF=8）
[14]. Ling Liu, Qian Jiang, Xin Jin*, Jianan Feng, Ruxin Wang, Hangying Liao, Shin-Jye Lee, Shaowen Yao, CASR-Net: A Color-Aware Super-Resolution Network for Panchromatic Image, Engineering Applications of Artificial Intelligence, 2022, 14: 105084. （SCI，中科院二区top，IF=8）
[15]. Jiang Q, Jin X*, Lee S, Yao S*. A new similarity/distance measure between intuitionistic fuzzy sets based on the transformed isosceles triangles and its applications to pattern recognition. Expert Systems with Application, 2019, 116:439-453. （SCI，中科院一区top， IF= 8.665 ，CCF推荐 C类）
[16]. Quanli Wang, Xin Jin*, Qian Jiang, Liwen Wu, Yunchun Zhang, Wei Zhou, DBCT-Net:A Dual Branch Hybrid CNN-Transformer Network for Remote Sensing Image Fusion, Expert Systems with Applications, Volume 233, 15 December 2023, 120829. （SCI，中科院一区top ， IF= 8.665 ，CCF推荐 C类）
[17]. Shanshan Huang, Xin Jin*, Qian Jiang, and Li Liu*, Deep Learning for Image Colorization: Current and Future Prospects, Engineering Applications of Artificial Intelligence, 2022, 114: 105006. （中科院二区top，IF=8）
[18]. Xin Jin1, Lin Guo1, Qian Jiang, Nan Wu and Shaowen Yao*, Prediction of Protein Secondary Structure Based on Improved Channel Attention and Multiscale Convolution Module, Frontiers in Bioengineering and Biotechnology, 2022,10:901018. (SCI，中科院二区，IF= 5.7).
[19]. Xin Jin, Xin Jin, Ruxin Wanga, Shin-Jye Lee, Qian Jianga, Shaowen Yao, Wei Zhou. Adversarial Attacks on Multi-focus Image Fusion Models, Computers & Security, Computers & Security 134 (2023) 103455. (SCI，中科院二区， IF= 5.6，CCF推荐 B类)
[20]. Jin X, Chen G, Hou J, Jiang Q, Zhou D, Yao S. Multimodal Sensor Medical Image Fusion Based on Nonsubsampled Shearlet Transform and S-PCNNs in HSV Space, Signal Processing, 2018, 153: 379-395. https://doi.org/10.1016/j.sigpro.2018.08.002 （SCI，中科院二区， IF= 4.4，CCF推荐 C类）
[21]. Jin X, Nie R, Zhou D, Yao S, Chen Y, Yu J, Wang Q. A novel DNA sequence similarity calculation based on simplified pulse-coupled neural network and Huffman coding. Physica A: Statistical Mechanics and its Applications, 2016, 461:325-338.（SCI，中科院二区，IF= 3.3）
[22]. Jin X, Zhou D, Yao S, Nie R. Multi-Focus Image Fusion Method Using S-PCNN Optimized by Particle Swarm Optimization. Soft Computing, 2018, 22:6395-6407. （SCI，中科院三区，IF= 4.1 ，CCF推荐 C类）
[23]. Xin Jin, Yide Di, Qian Jiang, Xing Chu, Qing Duan, Shaowen Yao, Wei Zhou*, Image Colorization Using Deep Convolutional Auto-Encoder with Multi-Skip Connections, Soft Computing, 2022, 27 (6) :3037-3052. https://doi.org/10.1007/s00500-022-07483-0. （SCI，中科院三区，IF=4.1 ，CCF推荐 C类）
[24]. Xin Jin, Nan Wu, Qian Jiang, Yuru Kou, Hanxian Duan, Shuai Liu, Puming Wang, Shaowei Yao, A dual descriptor combined with frequency domain reconstruction learning for face forgery detection in deepfake videos, Forensic Science International: Digital Investigation, 2024, Accepted.
[25]. Jin X, Jiang Q, Yao S, Zhou D, Nie R, Hai J, He K. A Survey of Infrared and Visual Image Fusion Methods. Infrared Physics & Technology, 2017,85:478–501. https://doi.org/10.1016/j.infrared.2017.07.010 （SCI，中科院二区，IF=3.3 ）
[26]. Jin X, Jiang Q, Yao S, Zhou D, Nie R, Lee S, He K. Infrared and Visual Image Fusion Method Based on Discrete Cosine Transform and Local Spatial Frequency in Discrete Stationary Wavelet Transform Domain. Infrared Physics & Technology, 2018, 88:1-12. https://doi.org/10.1016/j.infrared.2017.10.004 （SCI，中科院二区，IF= 3.3 ）
[27]. Jin X, Jiang Q, Chen Y, Lee S, Nie R, Yao S, Zhou D, He K. Similarity/Dissimilarity Calculation Methods of DNA Sequences: A Survey. Journal of Molecular Graphics & Modelling, 2017, 76:342–355. https://doi.org/10.1016/j.jmgm.2017.07.019 （SCI，中科院四区，IF= 2.9 ）
[28]. Jin X, Nie R, Zhou D, Wang Q, He K. Multifocus color image fusion based on NSST and PCNN. Journal of Sensors, 2016(2): 83596021.（SCI，中科院四区，IF=1.9 ）
[29]. Jin X, Zhou D, Yao S, Nie R, Yu C, Ding T. Remote sensing image fusion method in CIELab color space using nonsubsampled shearlet transform and pulse coupled neural networks. Journal of Applied Remote Sensing, 2016, 10(2):025023.（SCI，中科院四区，IF= 1.7）
[30]. Jin X, Hou J, Nie R, Yao S, Zhou D, Jiang Q, He K, A Lightweight Scheme for Multi-Focus Image Fusion. Multimedia Tools and Applications, 2018, 77:23501-23572.（SCI，中科院四区，IF= 3.6 ，CCF推荐 C类）
[31]. Xin Jin, Xiuliang Xi, Ding Zhou, Xiaoxuan Ren, Jie Yang, Qian Jiang, An Unsupervised Multi-focus Image Fusion Method Based on Transformer and U-Net, IET Image Processing, 2023, 17, 733-746. (SCI，中科院四区，CCF推荐 C类，IF= 2.3)
[32]. Hongen Liu, Xin Jin, Ling Liu, Xin Jin*, Low-dose CT Image Denoising Based on Improved DD-Net and Local Filtered Mechanism, Computational Intelligence and Neuroscience, vol. 2022, Article ID 2692301, 18 pages, 2022. https://doi.org/10.1155/2022/2692301.
[33]. Shanshan Huang, Xin Jin*, Qian Jiang, J. Li, S. Lee, P. Wang, S. Yao. A Fully-Automatic Image Colorization Scheme using Improved CycleGAN with Skip Connections, Multimedia Tools and Applications, 80:26465–26492, 2021.（SCI，中科院SCI四区，CCF推荐 C类，IF= 2.577）
[34]. Lin Guo, Qian Jiang, Xin Jin*, Lin Liu, Wei Zhou, Shaowen Yao, Min Wu, Yun Wang, A Deep Convolutional Neural Network to Improve the Prediction of Protein Secondary Structure. Current Bioinformatics, 2020, 15: 767-777. （SCI，中科院四区， IF= 4 ）
[35]. Zhe Cheng, Lin Liu, Guoliang Lin, Chao Yi, Xing Chu, Yu Liang*, Wei Zhou*, Xin Jin*. ReHiC: Enhancing Hi-C Data Resolution via Residual Convolutional Network. Journal of Bioinformatics and Computational Biology, 2021,19 (2):2150001. （SCI，中科院四区， IF= 1）
[36]. Shengdong Shi, Qian Jiang, Xin Jin* , Weiqiang Wang, Kaihua Liu, Haiyang Chen, Peng Liu, Wei Zhou and Shaowen Yao, A Comparative Analysis of Near Infrared Image Colorization Methods on Low Power NVIDIA Jetson Embedded Systems, Frontiers in Neurorobotics, 2023,17:1143032.（SCI，中科院三区,IF=3.1）
[37]. Zien Cheng, Xin Jin*, Qian Jiang, Liwen Wu, Ping Wei, Yunyun Dong, Wei Zhou, SIHNet: A Safe Image Hiding Method With Less Information Leaking, IET image processing.
[38]. Pengcheng Zhu, Xin Jin, Qian Jiang, Xueshuai Gao, Shaowen Yao, Transferable Adversarial Attacks for Classification Model through Image Fusion Task, Computers and Security.
[39]. 黄珊珊, 江倩, 金鑫*, 李昕洁, 冯佳男, 姚绍文，结合双胞胎结构与生成对抗网络的半监督遥感图像融合，计算机辅助设计与图形学学报，2021 , 33 (1): 92-105. （CCF推荐 A类）
部分其他合作者期刊论文
[40]. Sizhang Li; Jing Xu; Peng Liu; Xue Li; Puming Wang; Xin Jin; Shaowen Yao, "Truncated Lanczos-TSVD: An Effective Dimensionality Reduction Algorithm for Detecting DDoS Attacks in Large-Scale Networks," IEEE Transactions on Network Science and Engineering, 2024, Online, doi: 10.1109/TNSE.2024.3368048.
[41]. J. Xu, X. Li, P. Wang, X. Jin and S. Yao, Multi-Modal Noise-Robust DDoS Attack Detection Architecture in Large-Scale Networks Based on Tensor SVD," IEEE Transactions on Network Science and Engineering, 2022, Inpress. doi: 10.1109/TNSE.2022.3205708. (SCI )
[42]. Shenghong He, Ruxin Wang, Tongliang Liu, Chao Yi, Xin Jin, Renyang Liu, Wei Zhou*,Type-I Generative Adversarial Attack, IEEE Transactions on Dependable and Secure Computing, 2023, 20(3): 2593-2606. (SCI )
[43]. Xing Chu, Zhi Liu, Lei Mao, Xin Jin ID, Zhaoxia Peng, and Guoguang Wen, Robust Event Triggering Control for Lateral Dynamics of Intelligent Vehicle with Designable Inter-event Times, IEEE Transactions on Circuits And Systems—II: Express Briefs, 2022, doi: 10.1109/TCSII.2022.3182729. (SCI )
[44]. Puming Wang, Xue Li, Xin Jin, Qian Jiang, Wei Zhou, Saowen Yao, Reinforcement Learning Architecture for Cyber-Physical-Social AI: State-of-the-Art and Perspectives, Artificial Intelligence Review, 2023, 56 (11) :12655-12688. (SCI )
[45]. Ding Zhou, Xin Jin, Qian Jiang, Li Cai, Shin-jye Lee, Shaowen Yao, MCRD‐Net: An unsupervised dense network with multi‐scale convolutional block attention for multi‐focus image fusion, IET Image Processing, 16, 1558– 1574 (2022). https://doi.org/10.1049/ipr2.12430. (SCI，CCF推荐C类 )
[46]. Yuting Feng, Xin Jin, Qian Jiang, Quanli Wang, Lin Liu, Shaowen Yao, MPFINet: A Multilevel Parallel Feature Injection Network for Panchromatic and Multispectral Image Fusion, Remote Sensing, 2022, 14, 6118. https://doi.org/10.3390/rs14236118. (SCI )
[47]. Qian Jiang, Xin Jin, Shin-Jye Lee, ShaowenYao; Protein Secondary Structure Prediction: A Survey of the state of the art, Journal of Molecular Graphics and Modelling, 2017, 76: 379-402. https://doi.org/10.1016/j.jmgm.2017.07.015 (SCI )
[48]. Min Wu, Xin Jin, Qian Jiang*, Shin-jye Lee, Wentao Liang, Guo Lin & Shaowen Yao Remote sensing image colorization using symmetrical multi-scale DCGAN in YUV color space. The Visual Computer,2020,37(7):1707-1729. https://doi.org/10.1007/s00371-020-01933-2 (SCI，CCF推荐C类 )
[49]. Huang J, Jin X, Lee S J, Huang, Shanshan; Jiang Qian*. An effective similarity/distance measure between intuitionistic fuzzy sets based on the areas of transformed isosceles right triangle and its applications. Journal of Intelligent and Fuzzy Systems, In Press, 2021(3):1-21. (SCI,IF=2 )
[50]. Yide Di, Xiaoke Zhu, Xin Jin, Qiwei Dou, Wei Zhou, Qing Duan. Color-UNet++: A resolution for colorization of grayscale images using improved UNet++. Multimedia Tools and Applications, 2021,80 (28-29) :35629-35648. https:/doi.org/10.1007/s11042-021-10830-2. (SCI，CCF推荐C类 )
[51]. Liu, Lin; Tang, Lin; Jin, Xin; Zhou, Wei. 2019. "A Multi-Label Supervised Topic Model Conditioned on Arbitrary Features for Gene Function Prediction" Genes 10, no. 1: 57. https://doi.org/10.3390/genes10010057 (SCI )
[52]. Yun Wang, Xin Jin, Jie Yang, Qian Jiang, Yue Tang, Puming Wang, Shin-Jye Lee, Color Multi-focus Image Fusion Based on Transfer Learning, Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 2083-2102, 2022. (SCI )
[53]. Nan Wu, Xin Jin, Qian Jiang*, Puming Wang, Ya Zhang, Shaowen Yao, Wei Zhou, Multi-semantic Path Neural Network for Deepfake Detection, Security and Communication Networks, Volume 2022 | Article ID 4976848 | https://doi.org/10.1155/2022/4976848. (SCI，CCF推荐C类）
[54]. Puming Wang, Ting Cao , Xue Li , Xin Jin , Peng Liu , Wei Zhou , Ruxin Wang , Shiyu Chen, Multi-focus image fusion based on gradient tensor HOSVD, Journal of Electronic Imaging, 2023, 32 (2):023028.
[55]. 冯佳男, 江倩*, 金鑫, 李昕洁, 黄珊珊, 姚绍文，基于深度神经网络的遥感图像彩色化方法，计算机辅助设计与图形学学报，2021,33(11):1658-1667. （CCF推荐 A类）
[56]. 张亚,金鑫，江倩，李昕洁，董云云,姚绍文.基于自动编码器的深度伪造图像检测技术方法,计算机应用,接受 ,2021,41(10):2985-2990. （CCF 推荐 C类）
[57]. 黄珊珊,金鑫, 吴楠, 江倩*, 结合频域信息与对抗网络的虚假图像检测, 信息安全学报，接受，2023. （CCF推荐 T2类）
[58]. 陈施宇，金鑫，习修良，江倩，邵鑫凤,基于Transformer和生成对抗网络的多聚焦图像融合, 云南大学学报（自然科学），2024，录用。
部分会议论文
[59]. Ruoshu Wang, Shengfa Miao, Di Liu, Xin Jin, Weisheng Zhang MULTI-LAYER SEASONAL PERCEPTION NETWORK FOR TIME SERIES FORECASTING, ICASSP (International Conference on Acoustics, Speech and Signal Processing), 2023, 8 (6):37-47. (CCF推荐B类）
[60]. Ya Zhang, Xin Jin, Qian Jiang*, Yunyun Dong, Nan Wu, Shaowen Yao and Wei Zhou, Deepfake Detection Using Multiple Feature Fusion, Eighteenth IFIP WG 11.9 International Conference on Digital Forensics, 2022, IFIP AICT 653, pp. 123–139, 2022. (CCF 推荐C类)
[61]. Pingfan Zhang, Qian Jiang, Li Cai, Ruxin Wang, Puming Wang, Xin Jin*(通讯), Attention-Based F-UNet for Remote Sensing Image Fusion, 2021 High Performance Computing and Communications (HPCC-2021), , 2021, pp. 81-88, 30 May 2022. 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00038 (CCF 推荐 C类)
[62]. Jianan Feng, Qian Jiang, Xin Jin*(通讯), ChingHsun Tseng, ShinJye Lee and Shaowen Yao, CSRDNN: An Integrated Scheme for Single Satellite Image Colorization and Super-Resolution Using Deep Neural Networks, IJCNN 2021. (CCF 推荐 C类)
[63]. J. Huang, X. Jin, D. Fang, S.-J. Lee, Qian Jiang*, S. Yao, "New Entropy and Distance Measures of Intuitionistic Fuzzy Sets," 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, UK, 2020, pp. 1-8. (EI)
[64]. Wang Yun, Jiang Qian, Jin Xin (通讯), Lee Shin-Jye, Jianan Feng, Ding Zhou, Ya Zhang, Deep neural network joint multi-scale attention for remote sensing image colorization, Proc. SPIE 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021), 118781P (30 June 2021); doi: 10.1117/12.2599849.
[65]. Shiyu Chen, Xin Jin*(通讯), Qian Jiang, Jie Yang, Ting Cao, Xiuliang Xi, Yunyun Dong, DDF-GAN: A Generative Adversarial Network with Dual-Discriminator for Multi-Focus Image Fusion, MSN 2022: International Conference on Mobility, Sensing and Networking, 2022, pp.576-580. (CCF推荐C类）
[66]. Xin Jin, Qian Jiang, Peng Liu, Xin Jin*(通讯), Xueshuai Gao, Puming Wang and Shin-Jye Lee, Generate Frequency-limited Adversarial Examples to Attack Multi-focus Image Fusion Models, IEEE International Conference on Ubiquitous Intelligence and Computing, 2022, 1216-1223. (CCF推荐C类）
[67]. Shuting Li, Qian Jiang, Xin Jin*(通讯), Nanqing Liu, Shiyu Chen and Shin-Jye Lee, CSMA: Cascade-meta network for few-shot object detection, 21th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2023), 2023, accepted.
专利授权与申请
专利授权：
1. 金鑫,施盛栋,江倩,何有维,付昌陇,姚国梁,程祥；一种面向边缘设备的近红外图像彩色化方法, 申请公布号：CN116740211A, 申请公布日：2023.09.12, 专利号：ZL 2023 1 0705944.8 申请日：2023.06.15. 已授权20240130
2. 金鑫,江倩,周维,储星,姚绍文,黄锦芳,黄珊珊,武丽雯.基于二维Littlewood-Paley经验小波变换的脑部图像融合方法. 申请公布号：CN110084770A, 申请公布日：2019.08.02, 申请号：ZL2019101606702, 申请日：2019.03.04. 已授权20230307
3. 邸一得,金鑫,江倩,黄姗姗,周维,储星,姚绍文,王云.一种图像彩色化方法、系统和计算机可读存储介质.申请公布号：CN111145290A, 申请公布日：2020.05.12, 专利号：ZL2019114099829, 申请日：2019.12.31, 已授权事务数据公告日：2022.09.20.
4. 聂仁灿,金鑫,周冬明,王佺,余介夫,贺康建,何敏,谭明川.一种基于S-PCNN与拉普拉斯金字塔的彩色图像融合方法.申请公布号：CN105225213A，申请公布日：2016.01.06，申请号：2015106309367，申请日：2015.09.29, 已授权事务数据公告日：2018.03.09.
5. 聂仁灿,金鑫,周冬明,王佺,贺康建,何敏,余介夫,谭明川.一种基于PCNN与LP变换的多聚焦图像融合方法. 申请公布号：CN105139371A，申请公布日：2015.12.09，申请号：2015105625460，申请日：2015.09.07,已授权事务数据公告日：2019.03.15.
6. 聂仁灿,何敏,徐涛,余江,周冬明,武浩,赵苡积,金鑫,赵金榜,余介夫.一种基于单元格邻接关系与深度优先遍历的表格排序方法.申请公布号：CN105786957A，申请公布日：2016.07.20，申请号：2016100120479，申请日：2016.01.08, 已授权事务数据公告日：2019.07.09.
7. 黄珊珊,江倩,金鑫,李昕洁,姚绍文,吴敏,周鼎. 一种半监督多光谱和全色遥感图像融合方法和系统，申请公布号：CN111340743A申请公布日：2020.06.26，申请号：ZL2020100990045，申请日期：2020.06.26，已授权. 2023.06.06
专利申请：
8. 金鑫，刘玲，江倩，冯佳男，章平凡，刘帅，王全力，高学帅, 一种遥感图像空间和光谱分辨率恢复方法及系统，申请公布日：2022.05.27, 申请号：2022100707040, 申请日：2022.01.21.
9. 金鑫 冯佳男 江倩 冯雨婷 王汝欣 刘玲 董云云 王普明， 基于神经网络的遥感图像彩色化和超分辨率方法及系统，申请公布号：CN114332625A, 申请公布日：2022.04.12, 申请号：2021116705036, 申请日：2021.12.31.
10. 章平凡; 江倩;金鑫;冯雨婷;王全力;施盛栋;刘帅;周维;姚绍文, 一种遥感图像融合方法、装置、电子设备及存储介质, 申请公布日: 2022.12.09, 申请号: 2022112079409, 申请日：2022.09.30.
主要科研项目
1. 微光夜视彩色化技术研究，2023年度云南省基础研究计划优秀青年项目，30万，20230601-20260531，在研，主持
2. 云南大学，引进人才项目，2021-4至2024-3，50万，在研，主持
3. 结合多模图像融合与深度迁移学习的微光夜视彩色化技术研究，国家自然科学基金，青年项目，62101481，2022-1至2024-12，30万，在研，主持
4. 面向多源图像融合模型的对抗攻击与防御技术研究，云南省基础研究专项青年项目，202201AU070033 ，2023-01-01至2025-12-31，5万，在研，主持
5. 基于深度自注意力网络的遥感图像全色锐化技术研究，云南省基础研究专项面上项目，202201AT070112 ，2022-06-01至2025-05-31，10万，在研，主持
6. 中国博士后科学基金，特别资助，2020T130564，微光多模图像融合及其彩色化术研究，2020-08至2020-08，18万，已结题，主持
7. 中国博士后科学基金，面上资助，2019M653507，基于迁移学习的微光多模图像融合研究，2019-05至2020-08，8万，已结题，主持
8. 云南省软件工程重点实验室项目，青年项目，2020SE408，基于Transformer模型的全色遥感图像彩色化及超分辨率技术研究，2020-9至2022-8，3万，在研，主持
9. 云南省人社厅，云南省第五批博士后定向培养资助，多源图像融合研究及其应用，2018.10至2020.08，16万，已结题，主持
10. 云南省教育厅，云南省博士研究生学术新人奖，脉冲耦合神经网络理论及其在DNA相似度分析中的应用，2017-01至2019-06，2万，已结题，主持
11. 云南省教育厅，科学研究基金研究生项目，2017YJS108，脉冲耦合神经网络理论及其应用，2017-01至2019-06，0.5万，已结题，主持
12. 云南省科技厅 重点研发计划，基于人工智能的红外目标探测识别技术研究与应用， 2021-1 至 2023-12，500万元，在研，参与
13. 国家自然科学基金，应急管理项目，61640306，基于PCNN脉冲时间编码的基因表达谱特征提取及应用研究，2017-01至2017-12，10万元，已结题，参加
14. 国家自然科学基金，地区基金项目，61463052，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，2015-01至2018-12，47万元，已结题，参加
主要获奖成果
1. 人工神经网络动力学机制研究及应用, 云南省科学技术奖自然科学奖三等奖 ，20200630，云南省人民政府
2. 神经网络与模糊集度量理论建模及应用研究， 云南省博士后科研基金优秀成果奖励三等奖 ，2019.10.24，云南省人社厅。
3. 基于脉冲耦合神经网络与多尺度分析的多源图像融合研究，云南省优秀博士学位论文，20210326，云南省教育厅
4. 2017学年获得CSC-IBM中国优秀学生奖学金，国家留学基金委
5. 2018届省级优秀博士毕业生，20180601，云南省教育厅
6. 2022年云南省”兴滇英才支持计划”青年人才
主要学术任职
学术组织：
IEEE会员，ACM会员，CCF会员，CSIG会员
期刊编委：
Frontiers in Artificial Intelligence，编委会成员， https://www.frontiersin.org/journals/artificial-intelligence
Intelligence & Robotics，编委会成员（2024.03-2026.02），https://www.oaepublish.com/ir/junior_editorial_board
Current Chinese Computer Science ，编委会成员，https://benthamscience.com/journals/current-chinese-computer-science/
期刊客座编辑：
1. Frontiers in Neurorobotics （IF=3.1，中科院三区）客座编辑，第一期特刊：Recent Advances in Artificial Neural Networks and Embedded Systems for Multi-Source Image Fusion (https://www.frontiersin.org/research-topics/19074/recent-advances-in-artificial-neural-networks-and-embedded-systems-for-multi-source-image-fusion)，2021；第二期特刊：Recent Advances in Image Fusion and Quality Improvement for Cyber-Physical Systems (https://www.frontiersin.org/research-topics/43906/recent-advances-in-image-fusion-and-quality-improvement-for-cyber-physical-systems), 2022；第三期特刊：Recent Advances in Artificial Neural Networks and Embedded Systems for Multi-Source Image Fusion (https://www.frontiersin.org/research-topics/54722/recent-advances-in-image-fusion-and-quality-improvement-for-cyber-physical-systems-volume-ii), 2023.
2. Life （SCI, IF=3.2）客座编辑，第一期特刊: Modeling and Theoretical Analysis of Artificial Neural Networks for Life Sciences (https://www.mdpi.com/journal/life/special_issues/226V39O6XK), 2022；第二期特刊: Advances in Artificial Intelligence for Medical Image Analysis (https://www.mdpi.com/journal/life/special_issues/N50XKUIWD8), 2023.
3. Discover Applied Sciences (EI, ESCI, IF=2.6): Engineering: Applications of Machine Learning in Image Processing and Data Mining, (https://link.springer.com/collections/cbhbghbcgd), 2024.
4. Intelligence & Robotics (Scopus): Applications of Generative Adversarial Networks in Computer Vision and Image Processing (https://www.oaepublish.com/specials/ir.1922) 2024.
期刊审稿经历：
IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Computational Social Systems, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Emerging Topics in Computational Intelligence, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Consumer Electronics, Artificial Intelligence Review, Signal Processing, IEEE Journal of Biomedical and Health Informatics, Artificial Intelligence Review, International Journal of Applied Earth Observation and Geoinformation, Engineering Science and Technology, Neurocomputing, CAAI Transactions on Intelligence Technology, International Journal for Numerical Methods in Biomedical Engineering, Physica A: Statistical Mechanics and its Applications, Infrared Physics & Technology, International Journal of Machine Learning and Cybernetics, Multidimensional Systems and Signal Processing, Journal of Molecular Graphics and Modelling, Computational and Mathematical Methods in Medicine, Journal of Intelligent & Fuzzy Systems, Frontiers in Neuroscience, Journal of Electronic Imaging, Electronics Letters, Journal of Applied Remote Sensing, Journal of Medical Imaging, Journal of Sensors, IEEE Access, International Journal of Imaging Systems and Technology, IET image processing, IET Computer Vision, IET signal processing, Optical Engineering, Journal Of Molecular Graphics & Modelling, International Journal of Pattern Recognition and Artificial Intelligence, Mathematical Problems in Engineering, ，光学学报、激光与光电子学进展，电子学报
学术会议：
2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2023)， session chair.
2023中国多媒体大会（ChinaMM 2023），财务主席
2023 ACM International Conference on Multimedia (A2023 CM MM), 审稿人
2022 8th International Conference on Systems and Informatics (ICSAI 2022), Publicity Chairs
2022 International Conference on IoT based Smart Cities and Modern Transportation (I-SCMT 2022) 技术委员会成员
2022 International Conference on Digital Image Processing (ICDIP 2021, 2022) 技术委员会成员
2021 International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI 2021) 技术委员会成员
2021 IEEE International Conference on Systems, Man and Cybernetics (SMC 2021) 审稿人
2017 Annual International Conference on Information System and Artificial Intelligence (ISAI 2017) 技术委员会成员
Conference Partner(会伴)征稿网站管理员： https://www.myhuiban.com/
现有主要研究设备
研究小组拥有高性能计算机与服务器10余台套，GPU近20片（包括：A100、RTX 3090、 GTX Titan、 2080Ti、 1080Ti等）；拥有面向嵌入式人工智能系统的开套件，如：华为海思Hi35系列、英伟达Jetson系列开发板等6套。
欢迎加盟
本研究小组欢迎对图像处理、机器学习、神经网络、人工智能模型安全、嵌入式人工智能系统开发等领域感兴趣的研究生和本科生加入！
在读成员：
2021级硕士研究生：冯雨婷[46]、习修良[31]、冯明、程子恩[37]、何有维[8]；
2022级硕士研究生：程祥、郭环宇[9]、任笑萱、朱鹏程[38]、李致远、邵鑫凤；
2020级本科生：吴涛、王千年、付昌陇等；
2021级本科生：孟云浩、于昕阳等；
已毕业成员：
2017级硕士研究生：吴敏[48]；
2018级硕士研究生：黄珊珊（云南大学校级优秀硕士论文，毕业后前往重庆大学攻读博士学位）[11][17][33] [57]、郭淋[18][34]、黄锦芳（毕业后入职于高职院校）[49][63]、王云[52][64]；
2019级硕士研究生：冯佳男（毕业后前往中国人民大学攻读博士学位）[4][55][62]、张亚[56][60]、周鼎[31] [45]；
2020级硕士研究生：刘玲[12][14]、章平凡[3][13][61]、吴楠[24][53]、陈施宇[58][65]、廖航英[6]、施盛栋[36]、金辛[66][19]；
2018级本科生：刘宏恩（毕业后前往天津大学攻读硕士学位）[32]、夏语遥（毕业后前往西安交通大学攻读硕士学位）。
