张岩 博士 教授

E-mail：zy AT qust.edu.cn

Office：+86 532 88956997

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

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 Transactions on Automation Science and Engineering, IEEE Transactions on Instrumentation and Measurement, APPL SOFT COMPUT, Optics and Laser Technology等国际学术期刊和重要学术会议上发表论文80余篇。获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）（2017BK20006）（2014BZ20131）两项。

Membership

IEEE Member, ACM Member, CCF Member

Recent publications:

HLU2-Net: A Residual U-structure Embedded U-Net with Hybrid Loss for Tire Defect Inspection. IEEE Transactions on Instrumentation and Measurement

https://doi.org/10.1109/TIM.2021.3126847

MFCANet: A Road Scene Segmentation Network Based on Multi-Scale Feature Fusion and Context Information Aggregation. Journal of Visual Communication and Image Representation

https://doi.org/10.1016/j.jvcir.2024.104055

Automatic pixel-level detection of tire defects based on a lightweight transformer architecture. Measurement Science and Technology

https://doi.org/10.1088/1361-6501/acd5f2

AGHRNet: An Attention Ghost-HRNet for Confirmation of Catch-and-Shake Locations in Jujube Fruits Vibration Harvesting. Computers and Electronics in Agriculture

https://doi.org/10.1016/j.compag.2023.107921

AFFU-Net: Attention Feature Fusion U-Net with Hybrid Loss for Winter Jujube Crack Detection. Computers and Electronics in Agriculture

https://doi.org/10.1016/j.compag.2022.107049

Infrared Image Stripe Noise Removing Using Least Squares and Gradient Domain Guided Filtering. Infrared Physics and Technology

https://doi.org/10.1016/j.infrared.2021.103968

Automatic Detection of Defects in Tire Radiographic Images.

IEEE Transactions on Automation Science and Engineering

http://dx.doi.org/10.1109/TASE.2015.2469594

Detection of damages in underwater metal plate using acoustic inverse scattering and image processing methods. Applied Acoustics

http://dx.doi.org/10.1016/j.apacoust.2015.10.013

Defect detection for tire laser shearography image using curvelet transform based edge detector. Optics & Laser Technology

http://dx.doi.org/10.1016/j.optlastec.2012.08.023

Detection of Foreign Bodies and Bubble Defects in Tire Radiography Images Based on Total Variation and Edge Detection. Chinese Physics Letters

http://dx.doi.org/10.1088/0256-307X/30/8/084205

MSMANet: A multi-scale mesh aggregation network for brain tumor segmentation.

Applied Soft Computing

https://doi.org/10.1016/j.asoc.2021.107733

GMetaNet: Multi-scale Ghost Convolutional Neural Network with Auxiliary MetaFormer Decoding Path for Brain Tumor Segmentation. Biomedical Signal Processing and Control

https://doi.org/10.1016/j.bspc.2023.104694

DPAFNet: A Residual Dual-Path Attention-Fusion Convolutional Neural Network for Multimodal Brain Tumor Segmentation. Biomedical Signal Processing and Control

https://doi.org/10.1016/j.bspc.2022.104037