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副教授

李秀红
2017年03月01日 11:19:00  

李秀红

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副教授,博士,硕士生导师

研究领域:自然语言处理,图像处理

办公室&实验室:新疆大学博达校区工程研究中心

电子邮件:xjulxh@xju.edu.cn

联系电话:

教育背景

  1. 2012/09-2018/07,新疆大学信息科学与工程学院,计算机应用专业,博士研究生

  2. 期间:2013.09-2014.07 清华大学访问学者

  3. 2006/03-2008/01,新疆大学信息科学与工程学院,计算机应用专业,硕士研究生

  4. 1996/09-2000/07,吉林大学信息学院 通信工程专业,本科

工作简历

  1. 2019/09-至今,新疆大学, 信息科学与工程学院,副教授

  2. 2005/09-2019/08,新疆大学, 信息科学与工程学院,讲师

  3. 2000/09-2005/08,新疆大学 ,信息科学与工程学院,助教

主持项目

  1. 新疆大学博士启动项目,多语种网络空间下图片与文本的特定内容识别方法研究,2019/06-2020/12,10万元,主持

  2. 自治区科技计划项目,多尺度十亿像素视频生成关键技术研究,2020/06-2023/05,7万元,主持

  3. 自治区科技计划项目,低资源场景下多模态数据自监督学习关键技术研究,2023/01-2025/12,25万元,主持

  4. 国土资源调查数据处理,2019/07-2020/05,55万元,主持

  5. 银行信息系统开发及维护项目,2022/02-2022/11,5万元,主持

  6. 钢铁缺陷检测系统开发,2022/08-2023/05,17万元,主持

  7. 基于银行大数据的信息加工及维护,2021/11-2022/05,6.8万元,主持

  8. 自治区科技计划项目,基于数字全息的微振动检测技术研究,2020/06-2023/05,7万元,参与

  9. 文书图的自动生成分系统开发,2021/04-2022/03,150万元,参与

  10. 少数民族语言识别、转译与关键词提取引擎研发,2019/08-2020/07,70万元,参与

  11. 基于图像增强的低分辨率设备缺陷识别算法优化研究,2022/06-2022/12,59万元,参与

  12. 智慧物流管理平台维护,2019/07-2020/05,41.25万元,参与

学术成果

  1. Songlin Li, Xiuhong Li*, Zhe Li. Dual Guidance Enhancing Camouflaged Object Detection via Focusing Boundary and Localization Representation. IEEE International Conference on Multimedia & Expo (ICME) (Oral Presentation)

  2. Boyuan Li, Xiuhong Li*, Songlin Li. Adaptive Feature Fusion Network for Infrared Small Target Detection. IEEE International Conference on Multimedia & Expo (ICME) (Oral Presentation)

  3. Kangwei Liu, Xiuhong Li*, Boyuan Li. Lightweight Camouflaged Object Detection Network Based on Feature Complementation and Enhancement. IEEE International Conference on Multimedia & Expo (ICME)

  4. Dan Yang, Xiuhong Li*. PROMPT FUSION INTERACTION TRANSFORMER FOR ASPECT-BASED MULTIMODAL SENTIMENT ANALYSIS. IEEE International Conference on Multimedia & Expo (ICME)

  5. 5.Boyuan Li, Xiuhong Li*, Songlin Li. Cross-Layer Feature Guided Multiscale Infrared Small Target Detection. IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1–5, 2024.

  6. Songlin Li, Xiuhong Li, Zhe Li.Emphasizing Boundary-Positioning and Leveraging Multi-Scale Feature Fusion for Camouflaged Object Detection. 2023PRCV

  7. Chenyu Zhou , Xiuhong Li*, Zhe Li.Multimoda. Rumor Detection by Using Additive Angular Margin with Class-aware Attention for Hard Samples.2023PRCV

  8. Tianchi Qiu , Xiuhong Li*, Kangwei Liu.Boundary Guided Feature fusion Network for Camouflaged Object Detection.2023PRCV

  9. Kangwei Liu , Tianchi Qiu, Yinfeng Yu , Songlin Li and Xiuhong Li* .Edge-Guided Camouflaged Object Detection via Multi-Level Feature Integration sensors.2023.23.5789

  10. Ying Zheng , Yuye Zhang, Ruichen Ding, Chunming Ma and Xiuhong Li *.Fast and Robust Infrared Small Target Detection Using Weighted Local Difference Variance Measure’ sensors.2023.23.2630

  11. Huiru Wang , Xiuhong Li,*, Zenyu Ren.Multimodal Sentiment Analysis Representations Learning via Contrastive Learning with Condense Attention Fusion. sensors.2023.23.2679

  12. Xiuhong Li , Jiale Yang and Huilong Fan.Dynamic Network Resource Autonomy Management and Task Scheduling Method .mathematics.2023.11.1232

  13. Chunming Ma, Xiuhong Li*, Huiru Wang.GCAT-GTCU: Graph-Connected Attention Network and Gate Than Change Unit for Aspect-Level Sentiment Analysis.symmetry.2023.15.309

  14. Yuye Zhang , Ying Zheng and Xiuhong Li* .Multi-Scale Strengthened Directional Difference Algorithm Based on the Human Vision System.sensors 2023.22.10009

  15. Xiuhong Li,Gulila·Altenbek,Efficient Page Coloring for Multi-Threaded Programs[J].ICIC Express Letters, Part B,2016,7(10):2149-2154

  16. Xiuhong Li,Gulila·Altenbek ,Efficient Memory Allocator With Better Performance and less Memory Usage[J].International Association of Engineers: International Journal of Computer Science.2018,1(45): 135-141

  17. Xiuhong Li,Gulila·Altenbek,Optimized Memory Allocator for Hot-size[J].International journal of innovative computing,information & control.2018,5(14):1603-1615

  18. Xiuhong Li,Gulila·Altenbek ,Optimized Memory Allocator for less abortion and better performance in handware transactional memory[J]. International journal of parallel,emergent and distributed systems .2019.05

  19. Li, Z, Li, X, Sheng, J, & Slamu, W. (2020). AgglutiFiT: Efficient Low-Resource Agglutinative Language Model Fine-Tuning. IEEE Access, 8, 148489-148499

  20. Li, X, Li, Z, Sheng, J, & Slamu, W. (2020, October). Low-Resource Text Classification via Cross-lingual Language Model Fine-tuning. In Proceedings of the 19th Chinese National Conference on Computational Linguistics. (pp. 994-1005)

  21. 李斌,李秀红,艾斯卡尔·艾木都拉基于生物启发模型的红外小目标检测.激光与红外 .2021,51(10):1388-1395

  22. 王惠茹,李秀红*,李 哲.多模态预训练模型综述.计算机应用.2023,43(4)

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