张岩博士副教授
E-mail：zy AT qust.edu.cn
Office：+86 532 88956997
Mobile：+86 13854232324
ResearcherID：P-9700-2017
教育经历
2000年9月-2004年6月，西北工业大学，计算机科学与技术专业，学士学位
2006年9月-2009年6月，青岛科技大学，控制理论与控制工程专业，硕士学位
2012年9月-2014年6月，青岛科技大学，化工过程机械专业，博士学位
2014年3月-2015年3月，法国NORMANDIE UNIVERSITÉ，GREAH实验室，访问学者
2018年4月-2018年5月，上海交通大学，访问学者
工作背景
2015年12月-2017年9月，青岛科技大学，副教授，研究生导师
2017年9月-至今，青岛科技大学，副教授，研究生导师，副馆长
研究方向
主要研究方向包括：无损检测，计算机视觉，深度学习，智能制造，红外线、超声波等数据可视化及其应用。
主持和作为主要的技术负责人承担科研项目18项，在IEEE Trans AUTOM SCI ENG,IEEE Trans INSTRUM MEAS，APPL SOFT COMPUT等国际学术期刊和重要学术会议上发表论文70余篇。在法国NORMANDIE UNIVERSITÉ访学期间，作为主要参与人参研欧盟资助课题两项（基于计算机视觉的工业机器人机械臂定位精度的测定方法、基于超声波散射成像分析的水下涡轮缺陷检测与定位方法）。
社会兼职
IEEE Member
ACMMember
CCFMember
获奖
山东省优秀博士论文
山东高等学校优秀科研成果贰等奖（自然科学类）（2014BZ20131）
山东高等学校科学技术贰等奖（自然科学类）（2017BK20006）
Recent Publications
Zhouzhou Zheng, Huanbo Yang, Liang Zhou, Bin Yu, Yan Zhang. HLU2-Net: A Residual U-structure Embedded U-Net with Hybrid Loss for Tire Defect Inspection. IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-11, 2021. https://doi.org/10.1109/TIM.2021.3126847.
Yuyi Shao, Yingwei Sun, Mengmeng Zhao, Yankang Chang, Zhouzhou Zheng, Chengliang Tian, Bin Yu, Yan Zhang. Infrared Image Stripe Noise Removing Using Least Squares and Gradient Domain Guided Filtering. Infrared Physics and Technology. Vol.119, pp. 103968, 2021.
Yan Zhang, Yao Lu, Wankun Chen, Yankang Chang, Haiming Gu, Bin Yu. MSMANet: A multi-scale mesh aggregation network for brain tumor segmentation, Applied Soft Computing, vol. 110, October 2021, 107733. https://doi.org/10.1016/j.asoc.2021.107733
Yan Zhang, Zhiwen Jiang, Cheng Chen, Qinqin Wei, Haiming Gu, Bin Yu. DeepStack-DTIs: Predicting Drug-target Interactions Using LightGBM Feature Selection and Deep Stacked Ensemble Classifier, Interdisciplinary Sciences: Computational Life Sciences, Online. https://doi.org/10.1007/s12539-021-00488-7.
Yan Zhang, Zhiwen Jiang, Haiming Gu, Bin Yu. LGBM-DTIs: Predicting drug-target interactions using LightGBM with protein sequence and chemical structure, Interdisciplinary Sciences-Computational Life Sciences, 2021.
Zhouzhou Zheng, Bin Yu, Chengliang Tian, Yan Zhang. A Two-stage CNN for Automated Tire Defect Inspection in Radiographic Image, Measurement Science and Technology, 2021, 32(11):115403 (15pp).
Yan Zhang, Yuyi Shao, Jinye Shen, Yao Lu, Zhouzhou Zheng, Yaya Sidib, Bin Yu. Infrared Image Impulse Noise Suppression Using Tensor Robust Principal Component Analysis and Truncated Total Variation, Applied Optics, vol. 60, Issue 16, pp. 4916-4929, Jun 1, 2021.
Zhouzhou Zheng, Jinyue Shen, Yuyi Shao, Jie Zhang, Chengliang Tian, Bin Yu, Yan Zhang. Tire Defect Classification Using Deep Convolutional Sparse-Coding Network. Measurement Science and Technology, vol. 32, no. 5, pp. 055401, May, 2021.
Xin Sun, Chengliang Tian, Weizhong Tian, Yan Zhang. Privacy-Enhanced and Verifiable Compressed Sensing Reconstruction for Medical Image Processing on the Cloud, IEEE Access, vol. 10, pp. 18134-18145, 2022.
Qi Zhang; Shan Li; Bin Yu; Qingmei Zhang; Yu Han; Yan Zhang; Qin Ma. DMLDA-LocLIFT: Identification of multi-label protein subcellular localization using DMLDA dimensionality reduction and LIFT classifier. Chemometrics and Intelligent Laboratory Systems, 2020: 104148.
Cheng Chen, Qingmei Zhang, Bin Yu, Zhaomin Yu, Patrick J. Lawrence, Qin Ma, Yan Zhang. Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier, Computers in Biology and Medicine, Vol. 123, 103899, 2020.
Zhouzhou Zheng, Sen Zhang, Bin Yu, Qingdang Li, Yan Zhang. Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation. IEEE Access, vol. 8, pp. 112674-112687, 2020.
W. Zhao, Chengliang. Tian, W. Tian and Yan Zhang. Securely and Efficiently Computing the Hermite Normal Form of Integer Matrices via Cloud Computing. IEEE Access, vol. 8, pp. 137616-137630, 2020.
Xiaofen Zhao, Li Lin, Yan Zhang. Contamination and human health risks of metals in indoor dust from university libraries: A case study from Qingdao, China. Human and Ecological Risk Assessment: An International Journal ,2019():1-11.
Yan Zhang, Xuehong Cui, Yun Liu, Bin Yu, Tire Defects Classification Using Convolution Architecture for Fast Feature Embedding, International Journal of Computational Intelligence Systems, vol. 11, pp. 1056-1066, 2018.
Xuehong Cui, Yun Liu, Yan Zhang, Chuanxu Wang, Tire defects Classification with Multi-Contrast Convolutional Neural Networks, International Journal of Pattern Recognition and Artificial Intelligence, vol. 32, no. 4, 1850011 1-17, 2018.
Yan Zhang, Yutao Zhao, Guangxu Li, Robot Arm Repeated Positioning Accuracy Measurement Using Nonlinear Local Feature Matching, 2018 IEEE International Conference on Signal Processing Communications and Computing (ICSPCC 2018), pp. 8567779, 14 September 2018.
Yan Zhang, Yutao Zhao, Guangxu Li, Bin Yu, Robotic Manipulator Arms Repeatability Measurement Using Image Registration, in Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications (ICIEA 2018), pp. 813-817, 31 May-2 June 2018.
Yan Zhang, Dimitri Lefebvere, Qingling Li, “Automatic Detection of Defects in Tire Radiographic Images”, IEEE Transactions on Automation Science and Engineering, vol. 14, Issue: 3, pp. 1378-1386, Jul 2017. http://dx.doi.org/10.1109/TASE.2015.2469594
Yu Bin, Li Shan, Qiu Wenying, Chen Cheng, Chen Ruixin, Wang Lei, Wang Minghui, Zhang Yan. Accurate prediction of subcellular location of apoptosis proteins combining Chou’s PseAAC and PsePSSM based on wavelet denoising[J]. Oncotarget, 2017, 8(64): 107640.
Yan Zhang, Yaya Sidibé, Gérard Maze, Fernand Leon, Fabrice Druaux, Dimitri Lefebvre, Detection of damages in underwater metal plate using acoustic inverse scattering and image processing methods, Applied Acoustics, vol. 103, pp. 110-121, February 2016.
Yan Zhang, Tao LI, Qingling LI, “Detection of Foreign Bodies and Bubble Defects in Tire Radiography Images Based on Total Variation and Edge Detection,” Chinese Physics Letters, Vol. 30, No. 8, pp. 084205, 2013.
Yan Zhang, Tao Li, Qingling Li, “Defect detection for tire laser shearography image using curvelet transform based edge detector,” Optics & Laser Technology, Volume 47, Pages 64-71, April 2013.
Biography
Yan Zhang (M’18) received the B.S. degree in computer science and technology from Northwestern Polytechnical University, Xi'an, China, in 2004, and the M.S. and Ph.D. degrees in automatic control from Qingdao University of Science and Technology, Qingdao, China, in 2009 and 2014, respectively.
He is an associate Professor of Electrical and Computer Engineering with Qingdao University of Science and Technology, Qingdao, China. He was a visiting scholar in the Research Group on Electrical Engineering and Automatic Control (GREAH), Faculty of Sciences, Normandy University, Le Havre, France during 2014 and 2015. He visited the Shanghai Jiaotong University, Shanghai China, in 2018. His research interests include computer vision, image processing, and nondestructive testing. He has published more than 70 research papers in peer-viewed international journals and proceedings.
