姓名：王永振
职称：讲师
E-Mail：wangyz@ahut.edu.cn
个人主页：https://yz-wang.github.io
主要研究方向：
计算机视觉、图像处理、深度学习。
个人简介：
王永振，男，博士。2023年7月毕业于南京航空航天大学计算机科学与技术专业，获工学博士学位。主要研究方向为计算机视觉、深度学习和图像处理，专注于图像增强、图像复原和目标检测领域。近三年在IEEE TIP，IEEE TITS，IEEE TGRS，IEEE TIM等国内外权威期刊上发表学术论文20余篇。受邀担任CCF A类人工智能顶级会议AAAI 2022-2024年程序委员会委员。担任TNNLS、TITS、PR、CVIU、ESWA、ACM TOMM、IJIS等多个SCI期刊审稿人。
荣誉与获奖：
1. 江苏省人工智能学会优秀博士学位论文奖 (2023) 全省仅7名
2. 博士研究生国家奖学金 (2022)
3. 南京航空航天大学群星创新奖 (2022) 全校仅8名
学术服务：
Reviewer/PC Member：
(1) AAAI Conference on Artificial Intelligence (2021-)
(2) IEEE Transactions on Neural Networks and Learning Systems (2024-)
(3) IEEE Transactions on Intelligent Transportation Systems (2023-)
(4) Pattern Recognition (2024-)
(5) Computer Vision and Image Understanding (2023-)
(6) Expert Systems with Applications (2022-)
(7) ACM Transactions on Multimedia Computing, Communications and Applications (2023-)
(8) IEEE International Conference on Acoustics, Speech and Signal Processing (2023-)
(9) International Journal of Intelligent Systems (2023-)
(10) The Visual Computer (2021-)
(11) Journal of Electronic Imaging (2021-)
(12) The Journal of Supercomputing (2020-)
代表性论著：
[1]. Yongzhen Wang, Xuefeng Yan, Fu Lee Wang, et al. UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning[J]. IEEE Transactions on Image Processing, 2024, 33: 1361-1374. (SCI, IF: 10.6, JCR1区, CCF A类期刊, 中科院1区TOP期刊)
[2]. Yongzhen Wang, Jiamei Xiong, Xuefeng Yan, et al. USCFormer: Unified Transformer with Semantically Contrastive Learning for Image Dehazing[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(10): 11321-11333. (SCI, IF: 9.55, JCR1区, CCF B类期刊, 中科院1区TOP期刊)
[3]. Yongzhen Wang, Xuefeng Yan, Donghai Guan, et al. Cycle-SNSPGAN: Towards Real-World Image Dehazing via Cycle Spectral Normalized Soft Likelihood Estimation Patch GAN[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(11):20368-20382. (SCI, IF: 9.55, JCR1区, CCF B类期刊, 中科院1区TOP期刊)
[4]. Yongzhen Wang, Xuefeng Yan, Hexiang Bao, et al. Detecting Occluded and Dense Trees in Urban Terrestrial Views with a High-quality Tree Detection Dataset[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-12. (SCI, IF: 8.13, JCR1区, CCF B类期刊, 中科院1区TOP期刊)
[5]. Yongzhen Wang, Xuefeng Yan, Kaiwen Zhang, et al. TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning[J]. Computer Graphics Forum, 2022, 41(7): 465-476. (SCI, IF: 2.36, JCR2区, CCF B类期刊)
[6]. Yongzhen Wang, Xuefeng Yan, Jun’an Zhang. Research on GPU parallel algorithm for direct numerical solution of two-dimensional compressible flows[J]. The Journal of Supercomputing, 2021, 77(10): 10921-10941. (SCI, IF: 2.56, JCR2区, CCF C类期刊)
[7]. 王永振, 童鸣, 燕雪峰等. 面向真实战场环境的Transformer-CNN多特征聚合图像去雾算法[J]. 兵工学报, 2023: 1-11. (EI期刊, CSCD, 北大核心)
[8]. Yihua Fan, Yongzhen Wang, Dong Liang, et al. Low-FaceNet: Face Recognition-driven Low-light Image Enhancement[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-13. (SCI, IF: 5.6, JCR1区, TOP期刊)
[9]. Yiyang Shen, Yongzhen Wang, Mingqiang Wei, et al. Semi-MoreGAN: Semi-supervised Generative Adversarial Network for Mixture of Rain Removal[J]. Computer Graphics Forum, 2022, 41(7): 443-454. (SCI, IF: 2.36, JCR2区, CCF B类期刊)
[10]. Jie Wang, Yongzhen Wang, Yidan Feng, et al. Contrastive Semantic-Guided Image Smoothing Network[J]. Computer Graphics Forum, 2022, 41(7): 335-346. (SCI, IF: 2.36, JCR2区, CCF B类期刊)
[11]. Zhiheng Hu, Yongzhen Wang, Peng Li, et al. iSmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection[C]. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023: 1-5. (EI, CCF B类会议, 声学与信号处理领域顶级会议)
[12]. 熊佳梅, 王永振, 燕雪峰等. 一种基于语义引导和对比学习的战场图像去烟算法[J]. 兵工学报, 2022: 1-12. (EI期刊, CSCD, 北大核心)
备注：
欢迎对计算机视觉、图形与图像处理、目标检测领域感兴趣的同学与我联系。提供良好的科研环境与学术指导，支持学生参加国内外学术交流。表现优异者，可推荐到南京航空航天大学，香港理工大学攻读博士学位。
Feel free to contact me by：wangyz@ahut.edu.cn
