教师姓名：江倩
职称： 副教授
系所： 人工智能
研究领域： 深度学习、模糊理论、图像处理、信息安全、生物信息学
电子邮件： jiangqian_1221@163.com (jiangqian@ynu.edu.cn)
个人主页： https://www.researchgate.net/profile/Qian-Jiang-29
教育背景
2008.09 2012.06 湖南，中南大学，能源科学与工程学院，学士
2012.09 2015.06 湖南，中南大学，能源科学与工程学院，硕士
2015.07 2016.08 广东，珠海格力电器股份有限公司，系统研究员
2016.09 2019.06 云南，云南大学，信息学院，博士
个人简介
江倩，2019年8月至2021年7月在云南大学软件学院从事博士后研究，2021年7月被遴选为硕士生导师，2021年11月晋升副教授，先后主持国家自然科学基金2项，云南省博士后基金会项目1项，云南省博士后定向资助1项，云南省博士研究生学术新人奖项目1项；在Information Sciences、Expert Systems with Applications、IEEE Transactions on Instrumentation & Measurement、IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Cybernetics、IEEE Transactions on Geoscience and Remote Sensing、计算机辅助设计与图形学学报、信息安全学报等杂志发表论文20余篇（H指数12，被引近800次），申请专利5项；获得云南省优秀博士研究生优秀成果奖、云南省博士研究生学术新人奖、云南省优秀博士论文。
主要研究领域
1. 在深度学习应用领域，主要开展基于深度神经网络的图像处理与生物信息学中的应用。
2. 在模糊集合理论方面，主要开展直觉模糊集合的度量理论研究，基于可解释性几何建模方法，研究针对具体应用的模糊度量理论模型。
3. 在图像处理方面，基于模糊度量理论，研究针对图像的模糊性特征提取与表示方法，将其引入图像融合领域；开展基于深度学习的图像彩色化、超分辨研究。
4. 在信息安全方面，主要开展数字图像取证技术方面研究，以图像伪造特征提取为基础，利用深度学习技术开展伪造/虚假图像的检测研究。
5. 在生物信息学领域，主要关注蛋白质二级机构预测方面的研究。
主要科研项目
1. 云南大学引进人才项目， 2022.01-2025.12，100万，主持，在研
2. 结合多模态图像融合的低空无人机检测技术研究，国家自然科学基金， 2023.01-2026.12，33万，主持，在研
3. 面向深度虚假图像的伪造特征提取及检测模型研究，国家自然科学基金， 2021.01-2023.12，24万，主持，在研
4. 多源微光图像的融合研究，云南省第五批博士后定向培养资助2020.01-2021.07，16万，主持，已结题
5. 新型模糊集度量模型及其在微光图像融合中的应用研究，云南省博士后科学基金项目， 2020.01-2021.07，5万，主持，已结题
6. 二型模糊理论及其应用研究，云南省博士研究生学术新人奖项目， 2017.01-2018.06，2万，主持，已结题
7. 基于ICM脉冲时间编码的蛋白质序列特征提取及二级结构预测研究，国家自然科学基金， 2019.01-2022.12，40万，参与，在研
8. 分布式环境下高阶张量分解关键技术研究，国家自然科学基金， 2018.01-2021.12，39万，参与，已结题
部分代表性学术论著
第一作者或通讯作者期刊论文
[1] Qian Jiang; X. Jin; G. Chen; S. Lee; X. Cui; S. Yao; L. Wu; Two-scale decomposition-based multifocus image fusion framework combined with image morphology and Fuzzy Set Theory, Information Sciences, 2020, 541:442-474. (IF= 8.233 中科院SCI一区 TOP)
[2] Qian Jiang; X. Jin; S. Lee; S. Yao; A new similarity/distance measure between intuitionistic fuzzy sets based on the transformed isosceles triangles and its applications to pattern recognition, Expert Systems with Applications, 2019,116:439-453. (IF= 8.665 中科院SCI一区 TOP)
[3] 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, pp. 1-15, Art no. 5013115. （中科院二区，IF= 5.332 ）
[4] 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, 2022, accepted. (中科院四区，IF= 4.851)
[5] Qian Jiang, Jinfang Huang, Xin Jin, Puming Wang, Wei Zhou, Shaowen Yao, Medical Image Fusion Using a New Entropy Measure between Intuitionistic Fuzzy Sets Joint Gaussian Curvature Filter, IEEE Transactions on Radiation and Plasma Medical Sciences, 2023, accepted.
[6] Qian Jiang; X. Jin; J. Hou; S. Lee; S. Yao; Multi-Sensor Image Fusion Based on Interval Type-2 Fuzzy Sets and Regional Features in Nonsubsampled Shearlet Transform Domain, IEEE Sensors Journal, 2018,18(6):2494-2505. (IF= 4.325 中科院SCI二区 Top)
[7] Qian Jiang, X. Jin, S. Lee and S. Yao, A Novel Multi-Focus Image Fusion Method Based on Stationary Wavelet Transform and Local Features of Fuzzy Sets, IEEE Access, vol. 5, pp. 20286-20302, 2017, doi: 10.1109/ACCESS.2017.2758644. (中科院SCI三区 IF= 3.476)
[8] Qian Jiang, X. Jin, S. Lee, S. Yao; 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 (IF= 2.942 中科院SCI四区)
[9] 江倩, 彭小奇, 宋彦坡, 伍雁鹏, 浮选三相流中气泡运动特性的数值模拟[J]. 工程科学学报. 2016, 38(03): 320-327. (EI)
[10] X. Jin; D. Zhou; Qian Jiang*（通讯）; X. Chu; S. Yao; K. Li; W. Zhou*（通讯）; 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, doi: 10.1109/TCYB.2020.3043233, Early Access, 2020. (IF= 19.118 中科院SCI一区 TOP)
[11] X. Jin, S. Huang*(通讯), Qian Jiang*(通讯), S. Lee, L. Wu, S. Yao, Semi-Supervised Remote Sensing Image Fusion Using Multi-Scale Conditional Generative Adversarial network with Siamese Structure, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 461:325-338.（SCI，中科院二区，IF= 3.778 ）
[12] Yi Zhao, Xin Jin, Song Gao, Liwen Wu, Shaowen Yao*, Qian Jiang*. TAN-GFD: generalizing face forgery detection based on texture information and adaptive noise mining. Applied Intelligence (2023). https://doi.org/10.1007/s10489-023-04462-2
[13] 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. (中科院二区Top，IF=5.349 , 2021级硕士研究生）
[14] Ding Zhou, Xin Jin, Qian Jiang*（通讯）, 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. (中科院，四区，IF=1.773，CCF推荐 C类) (2019级硕士研究生）
[15] J. Huang, X. Jin, S. Lee, S. Huang, Qian Jiang*（通讯）, An effective similarity/distance measure between intuitionistic fuzzy sets based on the areas of transformed isosceles right triangle and its applications, Journal of Intelligent & Fuzzy Systems, vol. 40, no. 5, pp. 9289-9309, 2021. (IF=1.737 中科院SCI四区) (黄锦芳 2018级硕士研究生）
[16] M. Wu, X. Jin, Qian Jiang*（通讯）, S. Lee, W. Liang, L. Guo, S. Yao. Remote sensing image colorization using symmetrical multi-scale DCGAN in YUV color space. The Visual Computer, 37:1707–1729, 2021. https://doi.org/10.1007/s00371-020-01933-2 ( IF= 2.835 中科院SCI三区, CCF推荐 C类 ) （吴敏 2017级硕士研究生）
[17] S Huang, Y Yang, X Jin, Y Zhang, Qian Jiang*（通讯）, S. Yao. Multi-Sensor Image Fusion Using Optimized Support Vector Machine and Multiscale Weighted Principal Component Analysis. Electronics. 2020; 9(9):1531. (IF= 2.690 中科院SCI三区) （黄珊珊 2018级硕士研究生）
[18] L Wu, S Huang, F Wu, Qian Jiang*（通讯）, S Yao*（通讯）, X. Jin. Protein Subnuclear Localization Based on Radius-SMOTE and Kernel Linear Discriminant Analysis Combined with Random Forest. Electronics. 2020; 9(10):1566. (IF= 2.690 中科院SCI三区)
[19] Nan Wu, Xin Jin, Qian Jiang*(通讯), 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. (中科院SCI四区，CCF推荐C类）
[20] Defen He, Shuai Liu, Xin Jin, Shanshan Huanng, Qian Jiang*(通讯), An Overview of Image Forgery Detection, Current Chinese Computer Science, 2022, Accepted. （何德芬 2021级硕士研究生）
[21] 冯佳男, 江倩*, 金鑫, 李昕洁, 黄珊珊, 姚绍文，基于多尺度残差感受域深度神经网络的遥感图像彩色化, ，计算机辅助设计与图形学学报, 2021, 33(11):10.（EI，CCF推荐 T1类）（冯佳男 2019级硕士研究生）
[22] 张亚，金鑫，江倩*(通讯)，李昕洁，董云云，姚绍文，一种基于自动编码器的深度伪造图像检测技术，计算机应用， 2021, 41(10):6.（CSCD， CCF推荐T2类） （张亚 2019级硕士研究生）
[23] J. Huang, X. Jin, D. Fang, S.-J. Lee, Qian Jiang*（通讯）, 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) (黄锦芳 2018级硕士研究生）
[24] M. Wu; X. Jin; Qian Jiang*（通讯）; S. Lee; L. Guo; Y. Di; S. Huang; J. Huang, "Remote Sensing Image Colorization Based on Multiscale SEnet GAN," 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, Suzhou, China, 2019, pp. 1-6. (EI) （吴敏 2017级硕士研究生）
[25] Ya Zhang, Xin Jin, Qian Jiang*(通讯), 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, accepted. (CCF 推荐C类) （张亚 2019级硕士研究生）
[26] Shuai Liu, 江倩*(通讯), Jin Xin, Zhenli He, Wei Zhou, Shaowen Yao, Qiannian Wang, Multiple Feature Mining based on Local Correlation and Frequency Information for Face Forgery Detection, 34th International Conference , on Tool with Artificial Intelligence (ICTAI 2022), accepted. (CCF推荐C类） （刘帅 2021级硕士研究生）
部分其他作者论文
[27] 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.
[28] 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, Accepted.
[29] 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, accepted. (SCI )
[30] 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, Accepted. （刘玲 2020级硕士研究生）
[31] Xuan Wang, Xing Chu, Yunhe Meng, Guoguang Wen & Qian Jiang, Leaderless maneuver guidance and event-triggered formation control for distributed multi-space-robot systems. Nonlinear Dynamics (2022), In press. https://doi.org/10.1007/s11071-022-07638-6
[32] Wang Gaojian, Qian Jiang, Jin Xin, et al. MC-LCR: Multimodal contrastive classification by locally correlated representations for effective face forgery detection, Knowledge-Based Systems, 2022, 250: 109114. （汪高健 2019级硕士研究生） 8.139
[33] Gaojian Wang, Qian Jiang, Xin Jin, Xiaohui Cui, FFR_FD: Effective and Fast Detection of DeepFakes via Feature Point Defects, Information Sciences, 2022, 596:472-488 https://doi.org/10.1016/j.ins.2022.03.026. （汪高健 2019级硕士研究生）
[34] Gaojian Wang, Wei Li, Qian Jiang, Xin Jin; XiaoHui Cui, "Using Grayscale Frequency Statistic to Detect Manipulated Faces in Wavelet-Domain," 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, pp. 2986-2993, doi: 10.1109/SMC52423.2021.9658971.（CCF C类会议 汪高健 2019级硕士研究生）
[35] Hui Zeng, Ruxin Wang, Yan Huang, Xiaohui Cui, Qian Jiang," Scientific Rumors Detection in Short Online Texts, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, pp. 1233-1240, doi: 10.1109/SMC52423.2021.9659056. （CCF C类会议 曾辉 2019级硕士研究生）
[36] Y P Wu, X Q Peng *, Qian Jiang, et al. An improved method of flotation froth image segmentation based on watershed transformation. Journal of Information Hiding and Multimedia Signal Processing, 2017, 8(1):238-247. (EI)
主要获奖成果
1. 云南省优秀博士论文,云南省教育厅, 2022.4
2. 云南省博士研究生学术新人奖, 云南省教育厅, 2017
3. 云南省博士研究生优秀成果奖, 云南省教育厅, 2019
4. 博士研究生国家奖学金，教育部，2018
5. 云南大学东陆英才奖学金，云南大学，2018
6. ACM博士优秀论文提名奖，ACM协会中国成都分会，2020
专利
1. 江倩，金鑫，金辛，施盛栋，何有维，冯明，习修良，李淑婷，唐榕蔚，金樱，一种微光多源图像融合方法、系统及产品，2022.
2. 江倩,金鑫,崔晓晖,姚绍文,张亚,郭淋,黄锦芳.一种基于新型直觉模糊相似度测量技术的多聚焦图像融合方法.（受理号201911362883X）,申请日期：2020.06.02，已公开.
3. 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.（受理号201910160670.2）,申请日期：2019.03.04,已公开.
4. 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（受理号2020100990045）,申请日期：2020.06.26，已公开. （黄珊珊 2018级硕士研究生）
5. 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.（专利号2019114099829 ）,申请日期：2019.12.31,已授权. （邸一得 2018级硕士研究生）
主要学术任职
ACM会员
IEEE Transactions on Fuzzy Systems、Knowledge-Based Systems、International Journal of Remote Sensing and Remote Sensing Letters、Journal of Molecular Graphics and Modelling、Journal of Intelligent and Fuzzy Systems、IEEE ACCESS、Songklanakarin Journal of Science and Technology、Journal of Imaging、Jordanian Journal of Computers and Information Technology等杂志审稿人。
