所在学院

信息学院

职称

副教授

职务

所在办公室

大数据教研室

招生学科

办公电话

邮箱

liuning0928@bjfu.edu.cn

最后学历

博士研究生

最高学位

入选的“人才”项目

目前的研究领域

计算机视觉，自然语言处理，深度学习

个人简介：

刘宁，男，1988年生，现任北京林业大学信息学院大数据教研室讲师。博士毕业于北京大学数学科学学院应用数学专业。发表SCI/EI检索论文10余篇，国家发明专利授权7项。

近年来发表的学术成果（部分）：

1. Jiabang He, Lei Wang, Yi Hu, Ning Liu, Hui Liu, Xing Xu, Heng Tao Shen, ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction, ICCV 2023. (CCF-A)

2. Jiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen, Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models, SIGIR 2023. (CCF-A)

3. Lei Wang, Jiabang He, Xing Xu, Ning Liu, Hui Liu, Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models, AAAI 2022. (CCF-A)

4. Qian Hu, Wansi Li, Xing Xu, Ning Liu(*), Lei Wang, Learning discriminative representations via variational self-distillation for crossview geo-localization, Computers & Electrical Engineering, 2022. (SCI, IF=4.3)

5. Gongmian Wang, Xun Jiang, Ning Liu(*), Xing Xu, Language-enhanced object reasoning networks for video moment retrieval with text query, Computers and Electrical Engineering, 2022. (SCI, IF=4.3)

6. Ning Liu, Qian Hu, Huayun Xu, Xing Xu, Mengxin Chen, Med-BERT: A Pre-Training Framework for Medical Records Named Entity Recognition, IEEE Transactions on Industrial Informatics, 2021. (SCI, 一区TOP, IF=12.3)

7. Qian Hu, Ning Liu(*), Jing Wang, Zhichao Wu, Xuan Zhang, Qiang Liu, Yixin Zhao, Feng Xu, An Overlapping Sequence Tagging Mechanism for Symptoms and Details Extraction on Chinese Medical Records, Computers and Electrical Engineering, 2021, (SCI, IF=4.3)

8. Jing Wang, Ning Liu, Qian Hu, Zhichao Wu, Wan Dong, Yanan Shen, The Intelligent Diagnostic System for Common Diseases using the Optimized Medical Knowledge Graph, IWCMC, 2020. (CCF-C)

9. Qian Hu, Wan Dong, Ning Liu, Jing Wang, Yanan Shen, Zhichao Wu, Joint Extraction of Symptoms and Details in Chinese Medical Records using the Overlapping Mechanism, IWCMC, 2020. (CCF-C)

10. Ning Liu, Pan Zhou, Wenju Liu, Dengfeng Ke, Sparse Representation Based Image Super-resolution Using Large Patches, Chinese Journal of Electronics,2018. (SCI, IF=1.2)

11. Ning Liu, Xing Xu, Yujie Li, Anna Zhu, Sparse Representation Based Image Super-Resolution on The the KNN Based Dictionaries, Optics and Laser Technology, 2018. (SCI, IF=5)

12. Ning Liu, Dongxiang Zhang, Xing Xu, Long Guo, Lijiang Chen, Robust Math Formula Recognition in Degraded Chinese Document Images. ICDAR 2017. (CCF-C)

13. Ning Liu, Dongxiang Zhang, Xing Xu, Wenju Liu, Dengfeng Ke, An Iterative Refinement Framework for Image Document Binarization with Bhattacharyya Similarity Measure. ICDAR 2017. (CCF-C)