周玉，女，博士/博士后，副教授，硕士研究生导师，信息与控制工程学院电子信息工程系副主任，获中国矿业大学学士和博士学位（导师：西安电子科技大学李雷达教授）。主要从事人工智能和计算机视觉方向研究，在IEEE TIP、IEEE TMM、IEEE TCSVT，IEEE TIM, IEEE ICIP等领域著名刊物及会议上发表学术论文40余篇；申请国家发明专利20余项；主持国家自然科学基金项目、江苏省自然科学基金项目、中国矿业大学优秀青年骨干教师项目、青年教师“启航计划”项目、企业委托横向项目、教育部产学合作协同育人项目、中国矿业大学教学研究项目；中国矿业大学卓越创新团队“工业物联网与应急协同”成员，获教育部-华为“智能基座”产教融合协同育人基地优秀教师奖、“智能基座”华为云与计算先锋教师、中国矿业大学百佳本科教学教师奖、中国矿业大学教书育人先进个人。

代表性学术论文

周玉, 等，关键细粒度信息指导的多尺度遮挡行人重识别, 电子与信息学报, 2024. （EI中文核心）

Yu Zhou, Leida Li*（李雷达）, Shiqi Wang, Jinjian Wu, Yuming Fang, Xinbo Gao, "No-Reference Quality Assessment for View Synthesis Using DoG-based Edge Statistics and Texture Naturalness", IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4566-4579, Sep. 2019. （中科院1区TOP）

Yu Zhou, Weikang Gong, Yanjing Sun, Leida Li, Ke Gu and Jinjian Wu, "Quality Assessment for Stitched Panoramic Images via Patch Registration and Bidimensional Feature Aggregation", IEEE Transactions on Multimedia, 2023. （中科院1区TOP）

Yu Zhou, Y. Ding, Y. Sun, Leida Li, J. Wu and X. Gao, "Perceptual Information Completion based Siamese Omnidirectional Image Quality Assessment Network", IEEE Transactions on Instrumentation & Measurement, 2023.（中科院2区）

Yu Zhou, W. Gong, Y. Sun, Leida Li, J. Wu and X. Gao, "Pyramid Feature Aggregation for Hierarchical Quality Prediction of Stitched Panoramic Images", IEEE Transactions on Multimedia, Aug. 2022. doi: 10.1109/TMM.2022.3171684.（中科院1区TOP）

Yu Zhou, Y. Sun, Leida Li, K. Gu, Y. Fang, "Omnidirectional Image Quality Assessment by Distortion Discrimination Assisted Multi-Stream Network", IEEE Transactions on Circuits and Systems for Video Technology, April. 2022.（中科院1区TOP）

Yu Zhou, Leida Li*, J. Wu, K. Gu, W. Dong, and G. Shi, "Blind Quality Index for Multiply Distorted Images Using Biorder Structure Degradation and Nonlocal Statistics", IEEE Transactions on Multimedia, vol. 20, no.11, pp: 3019-3032, 2018. （中科院1区TOP）

周玉, 汪一, 李雷达*, 高陈强, 卢兆林, 虚拟现实图像客观质量评价研究进展, 中国图象图形学报, 2022. doi: 10.11834/jig.210949.（中文核心）

Leida Li*, Yu Zhou*, J. Wu, F. Li and G. Shi, "Quality Index for View Synthesis by Measuring Instance Degradation and Global Appearance", IEEE Transactions on Multimedia, vol. 23, pp. 320-332, Mar. 2020. doi: 10.1109/TMM.2020.2980185.（中科院1区TOP，共同通讯作者）

Leida Li, Yu Zhou*, K. Gu, W. Lin and S. Wang, "Quality Assessment of DIBR-Synthesized Images by Measuring Local Geometric Distortions and Global Sharpness", IEEE Transactions on Multimedia, vol. 20, no. 4, pp. 914-926, April. 2018. doi: 10.1109/TMM.2017.2760062. (SCI: 000427623000012)（中科院1区TOP，唯一通讯作者）

Leida Li, Yu Zhou*, K. Gu, Y. Yang and Y. Fang, "Blind Realistic Blur Assessment Based on Discrepancy Learning", IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 11, pp. 3859-3869, Nov. 2020. doi: 10.1109/TCSVT.2019.2947450.（唯一通讯作者，中科院1区TOP）

Leida Li, Yu Zhou, W. Lin, J. Wu, X. Zhang and B. Chen, "No-Reference Quality Assessment of Deblocked Images", Neurocomputing, 177: 572-584, 2016.  （中科院2区TOP，ESI高被引）

K. Dong, K. Riou, J. Zhu, A. Pastor, K. Subrin, Yu Zhou, et al., "Geometric Consistency-Guaranteed Spatio-Temporal Transformer for Unsupervised Multiview 3-D Pose Estimation", IEEE Transactions on Instrumentation & Measurement, 2024.（中科院2区）

S. Li, B. Wang, S. Qian, Y. Sun, X. Yun, Yu Zhou, “Influence Maximization for Emergency Information Diffusion in Social Internet of Vehicles”, IEEE Transactions on Vehicular Technology, 71: 8768–8782, 2022.（中科院2区TOP）

• [1] 人工智能
• [2] 深度学习
• [3] 图像处理