许静

2020年06月02日 10:32  点击:[]

基本信息


姓名:许静

性别:女

所属部门:机器智能研究所

行政职务:副院长

职称:教授

学历:博士

所学专业:计算机科学与技术

办公电话:23500350

电子邮件:xujing@nankai.edu.cn

研究方向:目标检测、伪装检测、医学图像处理、量子计算

个人简介

1989年获南开大学计算机系学士学位、1992年获北京航空航天大学计算机系硕士学位、2003年获南开大学博士学位。2002年7至2003年3月在微软亚洲研究院访问。1992年至1998年在航天部研究所从事军工软件开发工作,1998年9月始至今在南开大学机器智能所工作,主要从事目标检测、伪装检测、医学图像处理、量子计算的教学和科研工作。

科研项目、成果、获奖、专利

科研项目、成果及获奖

近年来已完成国家级、省部级、国际合作、国内合作项目多项。已发表论文120余篇,出版教材4部。已申请和授权发明专利30余项,已获得软件著作权20项。

2018年天津市科技进步二等奖(第一完成人)

2019年天津市科技进步二等奖(第四完成人)

2022年天津市科技进步二等奖(第二完成人)

2019年中国产学研合作创新成果三等奖(第一完成人)

2023年国家级本科教学成果二等奖(第五完成人)

2022年全国高校黄大年教师团队(核心成员)

2022年天津市级本科教学成果特等奖(第五完成人)

2022年天津市研究生教学成果一等奖(第三完成人)

2022年获得“兴智杯”全国人工智能应用大赛总决赛一等奖

2021全国互联网+创新创业大赛产业赛道全国铜奖(指导教师)

2024中国国际大学生创新大赛产业赛道全国铜奖(指导教师)

2021华北五省大学生机器人大赛一等奖(指导教师)

2021、2022华为“智能基座”奖教金

撰写论文、专著、教材等

近期发表的主要论文

  1. Learn from Examples: In-Context Learning for Camouflaged Object Detection, IEEE Transactions on Image Processing(TIP2026).

  2. Salient Object Detection in Traffic Scene Through the TSOD10K Dataset, IEEE Transactions on Image Processing(TIP2026).

  3. Alzheimer’s disease brain image segmentation using multi-feature fusion in 3D Rényi entropy model and quantum hybrid optimization[J].Artificial Intelligence Review, 2026. (中科院一区 TOP,人工智能领域国际权威期刊,ESI 热点论文,ESI 高被引论文)

  4. Pattern-aware multiobjective optimization with multimodal representations for UAV reconnaissance and task offloading[J].Pattern Recognition, 2026

  5. Feature Fusion-Based Hybrid Quantum-Classical Graph Residual Neural Network[J]. Advanced Quantum Technologies, 2026,

  6. Quantum Fourier Transform Neural Network with image blockwise representation for image classification[J]. Knowledge-Based Systems, 2026,

  7. CQNAS: Convolutional quantum hybrid neural network architecture search for image classification[J]. Neurocomputing, 2026

  8. Fractional-quantum reinforcement learning differential evolution for large-scale edge computing offloading[J]. Knowledge-Based Systems, 2026

  9. Bounty hunter optimizer: A novel metaheuristic with an application to multi-UAV mobile edge computing and path planning, Knowledge-Based Systems, 2026.

  10. UpGen: Unleashing Potential of Foundation Models for Training-Free Camouflage Detection via Generative Models,IEEE Transactions on Image Processing,TIP2025

  11. Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection,IEEE Conference on Computer Vision and Pattern Recognition (CVPR2025)

  12. Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection,IEEE International Conference on Computer Vision (ICCV2025)

  13. ECINFusion: A Novel Explicit Channel-Wise Interaction Network for Unified Multi-Modal Medical Image Fusion,TCSVT2025

  14. XKanFuse: A novel cross-modal fusion method based on Kolmogorov-Arnold Network for multi-modal medical image fusion,Knowledge-Based Systems,2025

  15. Unbiased multimodal fusion for medical image segmentation based on dual-Stream adapter,Knowledge-Based Systems,2025

  16. Information sparsity guided transformer for multi-modal medical image super-resolution,Expert Systems with Applications,2025

  17. Towards context-aware convolutional network for image restoration,Knowledge-Based Systems,2025

  18. Large coordinate attention network for lightweight image super-resolution,Engineering Applications of Artificial Intelligence,2025

  19. Superpixel-wise contrast exploration for salient object detection,Knowledge-based system,  2024

  20. Deeply Hybrid Contrastive Learning Based on Semantic Pseudo-Label for Salient Object Detection in Optical Remote Sensing Images. IEEE Transactions on Multimedia (TMM). 2024

  21. Improved multi-strategy adaptive Grey Wolf Optimization for practical engineering applications and high-dimensional problem solving,Artificial Intelligence Review 2024

  22. Lightweight blueprint residual network for single image super-resolution, Expert Systems with Applications,2024

  23. Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net, IEEE Transactions on Circuits and Systems for Video Technology,2023

  24. Transformer Fusion and Pixel-level Contrastive Learning for RGB-D Salient Object Detection,IEEE Transactions on MultiMedia, 2023

  25. MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023


出版教材:

《人工智能导论》,清华大学出版社,2025

《深度学习》,机械工业出版社,2025

《强化学习基本原理》,西电出版社,2025

翻译教材:

《深度强化学习:基于Python的理论及实践》,机械工业出版社,2021

讲授课程

人工智能技术(研究生)

高级语言程序设计(本科生)

社会兼职

IEEE会员、CCF高级会员、中国人工智能学会会员、天津市图形图像学会常务理事、天津市人工智能学会监事


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