王超，男，副教授，博士，近3年在影像处理等相关领域发表论文 20+ 篇, 其中 SCI 10篇，EI 10+篇. 以第一作者身份发表期刊 Knowledge-Based Systems (JCR: 8.038/ Q1) 1篇, 以通讯作者身份发表在Neural Computing and Applications(JCR分区:6.0/Q1) 1篇、IEEE Signal Processing Letters (JCR分区:3.109/Q2) 2篇、Remote sensing(JCR分区:5.0/Q2 TOP) 2篇、International Journal of Machine Learning and Cybernetics(JCR分区:3.6/Q2) 2篇. 以联合作者身份发表在Neurocomputing (JCR分 区:5.719/Q1) 1篇, IET Image Processing (JCR分区: 2.3729/ Q3) 1篇. 获得浙江省公益基金《通过模型与数据双向驱动的深度卷积神经网络去除图像雨雾混叠方法的研究》1项。参与国家面上基金1项。带领研究生与本科生参与“兆易创新杯”、“挑战杯”“虹软杯”“中国大学生计算机设计大赛”等比赛，获得国家级、省级奖项多项。指导的研究生获得“国家奖学金”“特等奖学金”多次。多次带领研究生、本科生参加国际学术会议并进行会议报告，发表SCI、EI文20余篇。担任IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)，Knowledge Based Systems Optimization Letters，International Journal of Business and Industrial Marketing，Heliyon，Computers & mathematics with applications，British Journal of Applied Science & Technology 等国际SCI 期刊的审稿人。多年来主要从事深度学习数据处理模型建模与领域内的多位研究学者保持着密切的合作，及时了解领域前沿研究成果，并组织了团队学术讨论班。
基本信息:
王超，副教授，博士，硕士生导师
应用数学专业
电子邮件-Email：wangchao1321654@163.com
通讯地址：浙江省舟山市定海区临城街道海大南路1号
个人教育与工作简历：
2010年9月-2014年6月，攻读电子科技大学理学应用数学博士学位。
2012年接受香港大学Wai-Ki Ching的邀请在香港大学进行访问。
博士点基金项目高效算法求解马尔科夫课题的主要研究人员。
2014年7月-2015年9月，成都华为技术有限公司微波信道算法平台开发部受聘15级技术专家，从事芯片的设计开发工作。从事：
MIMO关键技术攻关。
协助支撑项目交付。
负责法国技术合作项目。
负责与欧洲研究所和加拿大研究所的MIMO单点攻关与拉通。
参与支撑全公司层面的《数学支撑华为技术战略性研究》报告的撰写。
此间，完成了从数学专业到通信领域技术转型。积累了项目开发流程化经验。学习了IBM解决方案的先进理念。对团队配合，目标牵引，效率提升有了更深刻的见解。
2015年9月-至今，浙江海洋大学信息工程学院任教。曾受聘为浙江省海洋大数据挖掘中心重点实验室办公室主任。
研究方向：
1.图像去雾。
2.图像去雨。
3.数据增强。
4.卫星遥感图像去噪。
5.图像识别。
6.腹腔镜去雾。
7.低延时的去雾处理技术。
主讲课程：
《高等数学》《深度学习》等
第一作者论文\通信作者论文
[1]Haozhen Shen, Chao Wang*, Liangjian Deng. Liangtian He, Xiaoping Lu, Mingwen Shao, Deyu Meng. FDDN: frequency-guided network for single image dehazing[J]. Neural Computing and Applications, 2023. (SCI) (JCR分区:5.102/Q2) (通讯)
[2]Chuansheng Yang, Chao Zhang，Haozhen Shen, Tong Peng, Chao Wang* , Liangjian Den, Hongming Chen, Liangtian He. HFAN: High-Frequency Attention Network for hyperspectral image denoising[J]. International Journal of Machine Learning and Cybernetics, 2023: 1-15. (SCI) (JCR分区:5.6/Q2) (通讯)
[3]Guangrui Hu, Anhui Tan, Liangtian He, Haozhen Shen, Hongming Chen, Chao Wang*, Huandi Du. Pyramid feature boosted network for single image dehazing[J]. International Journal of Machine Learning and Cybernetics, 2023. (SCI) (JCR分区:5.6/Q2) (通讯)
[4]Liangtian He, Qinghua Zhang, Xuesong Yang, Yilun Wang, Chao Wang*. SLN-RED: Regularization by Simultaneous Local and Nonlocal Denoising for Image Restoration[J]. IEEE Signal Processing Letters, 2023. (30): 578-582. (JCR分区:3.109/Q2) (通讯)
[5]Hong-Xia Dou, Xing-Shun Lu, Chao Wang*, Hao-Zhen Shen, Yu-Wei Zhuo, Liang-Jian Deng. PatchMask: A Data Augmentation Strategy with Gaussian Noise in Hyperspectral Images[J]. Remote sensing, 2022, 14, 6308. (JCR分区:5.349/Q2) (TOP期刊) (通讯)
[6]Hong-Xia Dou, Xiao-Miao Pan, Chao Wang*, Hao-Zhen Shen, Liang-Jian Deng. Spatial and Spectral-Channel Attention Network for Denoising on Hyperspectral Remote Sensing Image[J]. Remote sensing, 2022, 14, 3338. (JCR分区:5.349/Q2) (TOP期刊)(通讯)
[7]Wang Chao, Shen Hao-Zhen, Fan Fan, Deng Liang-Jian*. EAA-Net: A novel edge assited attention network for single image dehazing[J]. Knowledge-Based Systems, 2021: 107279. (JCR分区:8.038/Q1) (一作)
[8]He Liang-Tian, Miao Jia-Qing, Zhou Xiao-Bin, Wang Chao*. Wavelet Frame-based Image Restoration Viaℓ2-relaxed Truncatedℓ0 Regularization and Nonlocal Estimation. IEEE SIGNAL PROCESSING LETTERS[J]. 2021, 107279. (JCR分区:3.109/Q2) (通讯)
[9]Wang Chao, Ting-Zhu Huang, Wen Chun. A new preconditioner for indefinite and asymmetric matrices[J]. Applied Mathematics and Computation, 2013, 219(23): 11036-11043 (JCR分区:4.397/Q1) (TOP期刊) (一作)
[10]Wang Chao, Ting-Zhu Huang, Wai-Ki Ching. A new multivariate Markov chain model for adding a new categorical data sequence[J]. Mathematical Problems in Engineering, Volume 2014, Article ID 502808, 8 pages (JCR分区:1.305/Q3) (一作)
[11]Wang Chao, Huang Ting-Zhu. A new improved parsimonious multivariate Markov chain model[J]. Journal of Applied Mathematics, Volume 2013, Article ID 902972, 1-10. (SCI) (一作)
[12]Wang Chao, Huang Ting-Zhu, Yang Chuan-Sheng. An improved algorithm for linear complementarity problems with interval data[J]. Journal of Computational Analysis & Applications, 2014, 17(2). (SCI) (一作)
[13]Qiang Pan, Yueting Yang, Chuansheng Yang, Chao Wang* and Anhui Tan. Underwater Mixed Spatial Attention Network [C]. 2021 International Conference on Advanced Algorithms and Signal Image Processing, 2021:012018 (EI) (通讯 王超)
[14]Xiaomiao Pan, Yueting Yang, Chuansheng Yang, Chao Wang* and Anhui Tan. Two-Stage Fusion Model for Heavy Rain Removal on Single Image[C]. 2021 International Conference on Advanced Algorithms and Signal Image Processing, 2021:012041 (EI) (通讯 王超)
[15]Yuanshun Cheng, Anhui Tan, Chuansheng Yang, Yueting Yang and Chao Wang*。Attention-based Feature Enhanced Dehazing Network [C]. 2021 International Conference on Advanced Algorithms and Signal Image Processing, 2021:012035 (EI) (通讯 王超)
[16]Xufeng Xu, Quanqing Wang, Xiaomiao Pan, Qiang Pan, Yueting Yang, Chao Wang. Feature enhancement composition model for heavy rain removal on single image[C]. International Conference on Computer Graphics, Artificial Intelligence, and Data Processing, 2021, 12168. (EI) (通讯)
[17]Xiaomiao Pan, Qiang Pan, Chao Wang*, Chuansheng Yang, Yueting Yang, Liangtian He . Multi-stage Enhanced Denoising Network on Hyperspectral Image[C]. International Conference on Information Science, Parallel and Distributed Systems, 2022: 141-144 (EI)(通讯)
[18]Ai De Zhi, Wu Yuan, Gu Li Dan, Wang Chao*. The Atmospheric Light Estimation by Divergence Operator[C]//Proceedings of the 2nd International Conference on Computer Science and Software Engineering. 2019: 192-196.(EI) (通讯)
[19]Gu Li-Dan, Yang Chuan-Sheng, Wang Chao*. Atmospheric Light Estimation Using Gradient Information [C] Proceedings of the 2nd International Conference on Computer Science and Software Engineering. 2019: 166-171.(EI) (通讯)
[20]Gu Li-Dan, Yang Chuan-Sheng, Wang Chao*. Atmospheric Light Estimation by Edge Detection[C]//Proceedings of the 2nd International Conference on Computer Science and Software Engineering. 2019: 172-177.(EI) (通讯)
[21]Wang Chao, Yang Chuan-Sheng. A tridiagonal parsimonious higher order multivariate Markov chain model [C] IOP Conference Series: Materials Science and Engineering. 2017, 231(1): 012009.(EI) (一作)
[22]Wang Chao, Yang Chuan-Sheng. A simplified parsimonious higher order multivariate Markov chain model[C] IOP Conference Series: Materials Science and Engineering. 2017, 231(1): 012010.(EI) (一作)
[23]Wang Chao. A preconditioner for symmetric saddle point matrices[C] IOP Conference Series: Materials Science and Engineering. 2017, 231(1): 012012.(EI) (一作)
[24]Liu Kou, Yang Chuan-Sheng, Wang Chao*. A Tridiagonal Parsimonious Higher Order Multivariate Markov Chain Model with New Convergence Condition[C]//2017 7th International Conference on Advanced Design and Manufacturing Engineering. Atlantis Press, 2017, 276-280.(EI) (通讯)
[25]Wang Chao, Huang Ting-Zhu, Ching Wai-Ki. A new higher-order multivariate Markov chain model. Chinese Journal of Engineering Mathematics（《工程数学学报》）2015，3：462-474(EI) (一作)
既非第一作者又非通讯作者论文
[26]He Liang-Tian, Wang Yi-Lun, Liu Jun, Wang Chao, Gao Shao-Bing. Single image restoration throughℓ2-relaxed truncatedℓ0 analysis-based sparse optimization in tight frames[J]. Neurocomputing, 2021, 443: 272-291.(JCR分区:5.719/Q1) (联合作者)
[27]He Liang-Tian, Miao Jia-Qing, Zhou Xiao-Bin*, Wang Chao. A novel denoising algorithm for medical images based on the non‐convex non‐local similar adaptive regularization [J]. IET Image Processing, 2021, 15(8): 1702-1711. (JCR分区:2.3729/Q3) (联合作者)
[28]Shanmin Li, Bei Pan, Yuanshun Cheng*, Xiaojun Yan, Chao Wang, Chuansheng Yang. Underwater Fish Object Detection based on Attention Mechanism improved Ghost-YOLOv5[C]. International Conference on Intelligent Computing and Signal Processing, 2022: 599-603 (EI) (联合作者)
[29]Xingshun Lu, Chao Zhang, Qihong Ye*, Chao Wang, Chuansheng Yang, Quanqing Wang. RSI-Mix: Data Augmentation Method for Remote Sensing Image Classification[C]. International Conference on Intelligent Computing and Signal Processing, 2022: 1982-1985 (EI)(联合作者)
[30]Bei Pan, Shanmin Li, Yuanshun Cheng*, Xiaojun Yan, Chao Wang, Chuansheng Yang. Fixed Point Clip: A New Data Augmentation Method for Object Detection[C]. International Conference on Intelligent Computing and Signal Processing, 2022: 625-628 (EI) (联合作者)
[31]Chao Zhang, Xingshun Lu, Qihong Ye*, Chao Wang, Chuansheng Yang, Quanqing Wang. MFENet: Multi-Feature Extraction Net for Remote Sensing Semantic Segmentation[C]. International Conference on Intelligent Computing and Signal Processing, 2022: 1986-1990(EI) (联合作者)
[32]Quanqing Wang , Yuanshun Cheng, Yueting Yang, Chao Wang and Chuansheng Yang*. Multi-Stage Enhanced Rain Image Restoration Network [C]. 2021 International Conference on Advanced Algorithms and Signal Image Processing, 2021:012040 (EI) (通讯 杨传胜)
[33]Guangrui Hu , Yueting Yang , Chuansheng Yang, Chao Wang and Anhui Tan*. Adaptive Feature Normalization Network for Single Image Dehazing [C]. 2021 International Conference on Advanced Algorithms and Signal Image Processing, 2021:012030 (EI) (通讯 谭安辉)
[34]Yiting Wu, Chuansheng Yang, Chao Wang, Hongming Chen, Qihong Ye. Low-light image enhancement combining dehazing and auxiliary channels[C]//Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023). SPIE, 2023, 12799: 1288-1294.
[35]Xiang Zhao, Chuansheng Yang, Chao Wang, Xiaoshuang Wang. MADNet: based on multiple attention and dilated convolution for CSI feedback[C]//International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023). SPIE, 2023, 12759: 663-668.
