姓 名：曾春艳

出生年月：1986.2

职 称：副教授

个人简介：曾春艳，1986.2，副教授，南湖学者，工学博士。主持完成国家自然科学基金项目、湖北省教育厅项目各1项。近三年发表SCI/EI收录论文26篇，撰写专著2本，授权发明专利10项，软件著作权12项。主要从事深度学习、图像处理、智能信号处理、人工智能、压缩感知方面的研究。邮箱：cyzeng@hbut.edu.cn。目前已联合培养研究生17人，毕业研究生13人，其中2人赴985读博，1人入职国家“选调生”职位，其他入职海康威视、高德红外、空管局等互联网公司及事业单位，已毕业研究生均发表SCI/EI一篇及以上。

研究方向 深度学习、人工智能、压缩感知、图像处理、智能信号处理方向。

主讲课程 1.《C语言程序设计》

2.《信号与系统》

科研项目 1.国家自然科学基金青年项目：深度学习框架下压缩感知的可解释重建方法研究（No：61901165）2020.01-2022.12，主持

2.湖北省教育厅科学技术研究计划青年人才项目，面向数字媒体的分布式压缩感知与重建研究（No：Q20191406），2019.01-2020.12，主持

3.国家自然科学基金面上项目：无线多媒体传感器网络低复杂度视频编码及高容错传输技术研究（No：F010103）2015.01-2018.12，参与

4.国家自然科学基金青年项目：面向非对称网络信息的协作频谱共享合约机制研究（No：61501178）2016.01-2018.12，参与

科研成果 1.SCI期刊论文（中科院二区）:曾春艳,冯世雄,王志锋*等. Audio source recording device recognition based on representation learning of sequential Gaussian mean matrix.Forensic Science International: Digital Investigation,2024, DOI:10.1016/j.fsidi.2023.301676.

2.SCI期刊论文（中科院三区/JCR二区）:曾春艳,孔帅,王志锋*等. Deletion and insertion tampering detection for speech authentication based on fluctuating super vector of electrical network frequency.Speech Communication,2024,DOI:10.1016/j.specom.2024.103046.

3.SCI期刊论文（中科院三区）:曾春艳,冯世雄,王志锋*等. Spatio-temporal representation learning enhanced source cell-phone recognition from speech recordings.Journal of Information Security and Applications,2024,DOI:10.1016/j.jisa.2023.103672.

4.SCI期刊论文（中科院三区）:曾春艳,夏诗言,王志锋*等. Digital Multi-Channel Representation Learning Enhanced Unfolding Multi-Scale Compressed Sensing Network for High Quality Image Reconstruction.Entropy,2023,DOI:10.3390/e25121579.

5.SCI期刊论文（中科院三区）:曾春艳,冯世雄,朱栋梁等. Source Acquisition Device Identification from Recorded Audio Based on Spatiotemporal Representation Learning with Multi-Attention Mechanisms.Entropy,2023,DOI:10.3390/e25040626.

6.SCI期刊论文（中科院二区）:王志锋,严文星,曾春艳(通讯作者)*等. A Unified Interpretable Intelligent Learning Diagnosis Framework for Learning Performance Prediction in Intelligent Tutoring Systems.International Journal of Intelligent Systems,2023: 1-20.

7.SCI期刊论文（中科院三区）:王志锋,王正辉,曾春艳(通讯作者)*等. High-Quality Image Compressed Sensing and Reconstruction with Multi-Scale Dilated Convolutional Neural Network.Circuits, Systems, and Signal Processing,2023,42(3):1593–1616.

8.SCI期刊论文（中科院二区）:王志锋,李龙龙,曾春艳(通讯作者)*等. Student Learning Behavior Recognition Incorporating Data Augmentation with Learning Feature Representation in Smart Classrooms.Sensors,2023,23(19): 8190.

9.SCI期刊论文（中科院三区）:王志锋,侯玉林,曾春艳(通讯作者)*等. Multiple Learning Features–Enhanced Knowledge Tracing Based on Learner–Resource Response Channels.Sustainability,2023,15(12): 9427.

10.SCI期刊论文（中科院四区）:王志锋,姚嘉龙,曾春艳(通讯作者)*等. Students’ Classroom Behavior Detection System Incorporating Deformable DETR with Swin Transformer and Light-Weight Feature Pyramid Network.Systems,2023,11(7):372.

11.SCI期刊论文:曾春艳,叶佳翔,王志锋*等. Cascade neural network-based joint sampling and reconstruction for image compressed sensing.Signal, Image and Video Processing,2022, 16 (1): 47-54.

12.SCI期刊论文:曾春艳,严康,王志锋*等. Abs-CAM: a gradient optimization interpretable approach for explanation of convolutional neural networks.Signal, Image and Video Processing,2022.

13.SCI期刊论文:王志锋,王正辉,曾春艳(通讯作者)*等. High-Quality Image Compressed Sensing and Reconstruction with Multi-scale Dilated Convolutional Neural Network.Circuits, Systems, and Signal Processing,2022.

14.SCI期刊论文:曾春艳,朱栋梁,王志锋*等. Spatial and temporal learning representation for end-to-end recording device identification.EURASIP Journal on Advances in Signal Processing,2021, 2021(1): 1-19.

15.SCI期刊论文:王志锋,杨尧,曾春艳(通讯作者)*等. Shallow and deep feature fusion for digital audio tampering detection.EURASIP Journal on Advances in Signal Processing,2022, 2022(1): 69-88.

16.SCI期刊论文:饶哲恒、曾春艳、武明虎*等. Research on a Handwritten Character Recognition Algorithm based on an Extended Nonlinear Kernel Residual Network.KSII Transactions on Internet and Information Systems,2018, 12(1): 413-435.

17.ESCI/EI期刊论文:曾春艳、杨尧、王志锋*等. Audio Tampering Forensics Based on Representation Learning of ENF Phase Sequence.International Journal of Digital Crime and Forensics,2022, 14(1): 1-19.

18.ESCI/EI期刊论文:曾春艳、朱栋梁、王志锋, An end-to-end deep source recording device identification system for Web media forensics.International Journal of Web Information Systems,2020, 16(4):413~425.

19.ESCI/EI期刊论文:王志锋,左驰,曾春艳(通讯作者)*. SAE based unified double JPEG compression detection system for Web image forensics.International Journal of Web Information Systems,2021, 17(2): 84-98.

20.EI期刊论文:曾春艳、余琰、王志锋等.面向可解释压缩感知的算法展开综述.华中科技大学学报(自然科学版),2022, 50(11)：35-43.

21.ESCI/EI期刊论文:曾春艳、杨尧、王志锋*等. Digital Audio Tampering Detection Based on Deep Temporal–Spatial Features of Electrical Network Frequency.Information,2023,14(5).

22.EI期刊论文:曾春艳、严康、王志锋等.多尺度生成对抗网络下图像压缩感知重建.吉林大学学报(工学版),2022, 1-8.

23.EI期刊论文:曾春艳、王正辉、王志锋*等. Image Compressed Sensing and Reconstruction of Multi-Scale Residual Network Combined with Channel Attention Mechanism.Journal of Physics: Conference Series,2021, 2010(1): 1-6.

24.EI期刊论文:曾春艳,马超峰,王志锋.基于卷积神经网络的鲁棒性说话人识别.华中科技大学学报(自然科学版),2020,48(06):1~6.

25.EI期刊论文:武明虎,蔡松,曾春艳(通讯作者)*, Zhifeng Wang, Nan Zhao, Li Zhu, Juan Wang. Big data analytics: an improved method for large-scale fabrics detection based on feature importance analysis from cascaded representation.International Journal of Grid and Utility Computing,2021, 12 (1): 81-93.

26.EI期刊论文:武明虎,吕松南,曾春艳(通讯作者)*,赵楠. A hybrid recommender method based on multiple dimension attention analysis.Mobile Computing and Multimedia Communications,2020,11(1):42-57.

27.核心期刊论文:曾春艳,严康,王志锋,余琰,纪纯妹.深度学习模型可解释性研究综述.计算机工程与应用:2021,57(08):1~9.

28.核心期刊论文:曾春艳,马超峰,王志锋.深度学习框架下说话人识别研究综述.计算机工程与应用,2020,56(03):1~11.

29.核心期刊论文:王志锋,湛健,曾春艳(通讯作者)*.数字音频来源被动取证研究综述.计算机工程与应用,2020,56(05):1-12.

30.核心期刊论文:曾春艳,叶佳翔,深度学习框架下压缩感知重建算法综述.计算机工程与应用,2019, 55(17)：1~8.

31.核心期刊论文:曾春艳,王志锋*,数字音频篡改被动检测研究综述.计算机工程与应用,2019, 55(2)：1~11.

32.专著：曾春艳、王志锋，压缩感知重建算法及应用，华中师范大学出版社，2016.

33. 2016年湖工大第十三届“优秀教学质量奖”十佳

34. 2015年湖工大青年教师授课竞赛理工组二等奖