李红军
邮箱：lihongjun2012@cdut.edu.cn
学位：工学博士
职称：副教授
研究方向：数据挖掘、人工智能
基本信息
李红军，博士，副教授，硕士生导师，四川省海外高层次人才，中国计算机学会数据库专委会通讯委员，四川绵阳人。2011年毕业于四川大学计算机学院。美国佛罗里达国际大学访问学者。主要从事数据挖掘、数据库以及人工智能方面的研究工作。发表SCI、EI收录学术论文10余篇，授权发明专利1项，主研四川省教育厅等项目多项，参与国家十一五科技支撑计划重点项目、国家自然科学基金等项目多项，多个SCI期刊审稿人。
工作经历
2000/07–2011/06，西南科技大学，计算机学院，讲师
2011/07–今，成都理工大学，计算机与网络安全学院，副教授
2017/12-2018/12，美国佛罗里达国际大学访问学者
教育经历
2007/09 – 2011/06，四川大学，计算机学院，博士
2004/09 – 2007/06，四川大学，计算机学院，硕士
1996/09 – 2000/06，四川师范学院，计算机学院，学士
发表论文
1.Hongjun Li, Mingzhe Cheng, Zelin Yang, Liqun Yang, and Yansong Chua. Named Entity Recognition for Chinese Based on Global Pointer and Adversarial Training.Scientific Reports, 2023.
2.Mingzhe Cheng, Hongjun Li*, Zelin Yang, Wenjie Fan, Yujin Gan. Named Entity Recognition for Medical Dialogue Based on BERT and Adversarial Training. the 5th International Conference on Pattern Recognition and Artificial Intelligence, 2022: 955-959.
3.Zelin Yang, Hongjun Li*, Mingzhe Cheng, Shulin Liu, Xiya Luo. T2V-TransD: A Method of Temporal Knowledge Representation Learning Based on Mapping Matrix. the 5th International Conference on Pattern Recognition and Artificial Intelligence, 2022: 76-82.
4.Biao Cai, Yanpeng Wang, Lina Zeng, Yanmei Hu, Hongjun Li. Edge classification based on Convolutional Neural Networks for community detection in complex network[J]. PHYSICA A:STATISTICAL MECHANICS AND ITS APPLICATIONS,2020,556.
5.Biao Cai, Lina Zeng, Yanpeng Wang, Hongjun Li, Yanmei Hu. Community Detection Method Based on Node Density, Degree Centrality, and K-Means Clustering in Complex Network[J]. ENTROPY,2019,21(12):1145.
6.HONGJUN LI, BIAO CAI, SHAOJIE QIAO,QING WANG, AND YAN WANG.ExTCKNN: Expanding Tree-Based Continuous K Nearest Neighbor Query in Road Networks With Traffic Rules. IEEE Access, 2018:72594-72608.
7.Biao Cai, Xiaowang Yang, Yusheng Huang, Hongjun Li, Qiang Sang, "A Triangular Personalized Recommendation Algorithm for Improving Diversity", Discrete Dynamics in Nature and Society, vol. 2018, Article ID 3162068, 11 pages, 2018.
8.TANG Rong, TANG Changjie, XU Kaikuo, ZUO Jie, LI Hongjun(2012). “Automatic Clustering Algorithm for Complex Networks Based on Gene Expression Programming”. Journal of Sichuan University(Engineering Science Edition), 2012,(S1):138-144.
9.YANG Ning, TANG Changjie, WANG Yue, CHEN Yu, ZHENG Jiaoling, LI Hongjun(2011). “Mining Hotspots from Multiple Text Streams Based on Stream Information Distance”. Journal of Software, 2011,(08):1761-1770.
10.ZHENG Jiaoling, TANG Changjie, XU Kaikuo, YANG Ning, DUAN Lei, LI Hongjun(2011). “Gene Expression Programming Evolution Difficulty Prediction Based on Posture Model”. Journal of Software,2011, (05):899-913
11.WANG Yue, TANG Changjie, YANG Ning, ZHANG Yue, LI Hongjun, ZHENG Jiaoling, ZHU Jun(2011). “Mining Optimized Probabilistic Intervention Strategy over Uncertain Data Set”. Journal of Software,2011,(02):285-297
12.Li Hongjun, Tang Changjie, Qiao Shaojie, Dai Shucheng, Wang yue, Zheng Jiaoling(2010). “UTR~*-Tree: An Uncertain Trajectories Model for Indexing Moving Objects in Constrained Networks”. Journal of Sichuan University(Engineering Science Edition),2010,(02):118-125.
13.Li Hongjun ,Tang Changjie,Qiao Shaojie(2010). “A novel predictor for moving objects”. 3rd International Conference on Information Sciences and Interaction Sciences, ICIS2010,220-223,Chengdu,2010.6.23-2010.6.25
14.Li Hongjun, Tang Changjie, Qiao Shaojie, Wang Yue, Yang Ning, Li Chuan(2010). “Hotspot district trajectory prediction”. 1st International Workshop on Graph Database, IWGD 2010, Held in Conj. with WAIM 2010,74-84,Jiuzhaigou,2010.7.15-2010.7.17.
15.Qiao Shaojie,Peng Jing,Li Hong,Li Tianrui,Liu Liangxu,Li Hongjun(2010). “WebRank: A hybrid page scoring approach based on social network analysis”. 5th International Conference on Rough Set and Knowledge Technology, RSKT 2010,475-482,Beijing, 2010.10.15-2010.10.17.
发明专利
基于交通规则的道路网络中移动对象连续最近邻监视算法，中国，Z201811396521.8
科研项目
1.自然资源部深时地理环境重建与应用重点实验室开放基金：岩相古地理文献知识实体关系抽取研究，2022.12--2024.11，主持。
2.四川省教育厅项目：智能交通中移动对象数据管理关键技术研究，2015.1——2016.12,主持。
3.国家自然科学基金面上项目：亚复杂系统干预规则挖掘关键技术研究，编号600773169，主研。
4.国家十一五科技支撑计划重点项目：以医院为基础的出生缺陷现有防治综合技术干预效果的评价研究，编号2006BAI05A01，参研。
