计算机与通信工程学院 School of Computer and Communication Engineering
教授
当前位置: ABG欧博 > 研究生教育 > 导师队伍 > 教授 > 正文

李文军

发布时间: 2024-03-18 17:29:00 浏览量:

欧博官网计算机与通信工程学研究生导师基本信息表


1、个人基本信息:


 名:李文军

 别:


出生年月:198208

技术职称:教授


毕业院校中南大学

学历(学位):博士


所在学科: 计算机科学与技术

研究方向:计算机算法、人工智能、


2、教育背景:


1999.9-2003.7

湘潭大学

学士


2007.9-2010.7

中南大学

硕士


2010.9-2014.12

中南大学

博士


2011.10-2012.10

美国Texas A&M University

联培


3、目前研究领域:


计算机算法优化、人工智能


4、已完成或已在承担的主要课题:


主持或主持完成国家自然科学基金项目3项、教育部科技发展中心新一代信息技术重点项目1项、湖南省自然科学基金青年项目2项、湖南省教育厅自然科学基金2项。此外,作为校内主持人与校外合作者联合申请并获批国家自然科学基金项目3项。明细如下:

1. 国家自然科学基金面上项目:面向NP难问题多种求解算法的皇冠分解技术研究 (62372066,项目经费50万元. 研究时限为2024.01-2027.12)

2. 国家自然科学基金面上项目:基于深层局部搜索的核心化技术研究 (61872048,项目经费63万元. 研究时限为2019.01-2022.12)。  

3. 国家自然科学青年基金项目:基于核心化技术的FPT算法研究 (61502054,项目经费20万元. 研究时限为2016.01-2018.12)

4. 国家自然科学基金面上项目(合作申请,校内主持):边编辑问题的参数复杂性(62372394,项目经费10万元. 研究时限为2024.01-2027.12

5. 国家自然科学基金面上项目(合作申请,校内主持):弦图及相关图类的算法研究(61972330,项目经费9.8万元. 研究时限为2020.01-2013.12

6. 国家自然科学青年基金项目(合作申请,校内主持):投票问题在限定偏好集上的参数复杂性研究 61702557项目经费5.2万元. 研究时限为2018.01-2020.12

7. 湖南省自然科学基金面上项目:基于非确定性结构的皇冠分解技术研究(2022JJ30620,项目经费5万元,研究时限为2022.01-2024.12)。

8. 湖南省教育厅优秀青年项目:大规模WSN中计算难解问题的近似算法研究(21B0305,项目经费7万元,研究时限为2022.01-2024.12)。

9. 新一代信息技术创新重点项目基于区块链的高校科研评价系统(2020ITA09004项目经费5万元,研究时限为2022.09-2022.08)。

10. 湖南省自然科学青年基金项目:大数据时代WSNNP难解问题的核心化算法研究(2017JJ3333, 项目经费5万元,研究时限为2017.01-2019.12)。

11. 湖南省教育厅一般项目:参数计算中核心化技术研究 17C0047 项目经费1万元,研究时限为2017.09-2019.08

12. 军工保密项目子课题:***自动修复研究(项目经费20万元,研究时限为2013.01-2024.12


5、已发表的学术论文:


[1] Wenjun Li, Huan Peng, Yongjie Yang. Improved kernel and algorithm for claw and diamond free edge deletion based on refined observations. Theoretical Computer Science,2022, 906: 8393.

[2] Wenjun Li, Chao Xu, Yongjie Yang, Jianer Chen, Jianxin Wang. A refined branching algorithm for the maximum satisfiability problem. Algorithmica, 2022, vol 84, pp. 9821006.

[3] WenjunLi, Junjie Ye, Yixin Cao. A 5k-vertex kernel for P2-packing. Theoretical Computer Science, 2022, 910: 113.

[4] Wenjun Li, Siyang Zhang, Guangwei Wu, Aldosary Saad, Amr Tolba, and Gwang-jun Kim. A sustainable WSN system with heuristic schemes in IIoT. CMC-Computers,Materials & Continua, 2022, Vol.72, No.3, pp.4215-4231.

[5] Wenjun Li, Xiaojing Tang, Yongjie Yang: An improved branching algorithm for the proper interval edge deletion problem. Frontiers of Computer Science, 2022, 16(2): 162401.

[6] Guozhen Rong, Yongjie Yang, Wenjun Li. A Polynomial-Time Algorithm for MCS Partial Search Order on Chordal Graphs[C]// International Symposium on Mathematical Foundations of Computer Science (MFCS), 2023, 77:1-77:15

[7] Guozhen Rong, Wenjun Li, Jianxin Wang. AND YONGJIE YANG. Cycle extendability of hamiltonian strongly chordal graphs. SIAM Journal on Discrete Mathematics. 2021, Vol. 35, No. 3, pp. 2115--2128.

[8] Wenjun Li, Yang Ding, Yongjie Yang, Guozhen Rong: A (2 + ϵ)k-vertex kernel for the dual coloring problem. Theoretical Computer Science, 2021, 868: 6-11.

[9] Wenjun Li, Yang Ding,  Yongjie Yang, et al. Parameterized algorithms of fundamental NP-hard problems: a survey. Human-Centric Computing and Information Sciences, 10, 29(2020). DOI: 10.1186/s13673-020 -00226-w.

[10] Wenjun Li, Huayi Xu, Huixi Li, Yongjie Yang, Pradip Kumar Sharma, Jin Wang, and Saurabh Singh. Complexity and Algorithms for Superposed Data Uploading Problem in Networks with Smart Devices. IEEE Internet of Things Journal,7(7), 2020, pp. 5882 - 5891.

[11] Wenjun Li; Zhenyu Chen; Xingyu Gao; Wei Liu; Jin Wang. MultiModel Framework for Indoor Localization under Mobile Edge Computing Environment.IEEE Internet of Things Journal, 6(3) ,2019, pp. 4844 - 4853.

[12] Wenjun Li, Haiyan Liu, Jianxin Wang, Lingyun Xiang, Yongjie Yang. An Improved Linear Kernel for Complementary Maximal Strip Recovery: Simpler and Smaller[J]. Theoretical Computer Science, 2019, 786:55-66.

[13] Wenjun Li, Binhai Zhu. A 2k-kernelization algorithm for vertex cover based on crown decomposition[J]. Theoretical Computer Science. 2018, 739: 80-85.

[14] Wenjun Li, Jianxin Wang, Jianer Chen, Yinxin Cao. Deeper Local Search for Parameterized and Approximation Algorithms for Maximum Internal Spanning Tree[J]. Information and Computation, 2017, 252: 187-200

[15] Wenjun Li, Qilong Feng, Jianer Chen, Shuai Hu. Improved kernel results for some FPT problems based on simple observations[J]. Theoretical Computer Science, 2017, 657: 20-27

[16] Wenjun Li, Jianxin Wang, Yongjie Yang. Improved Kernels and Algorithms for Claw and Diamond Free Edge Deletion Based on Refined Observations. 2017, https://arxiv.org/abs/1707.06779.

[17] Wenjun Li, Yongjie Yang, Jianer Chen, Jianxin Wang. Further Kernelization of Proper Interval Vertex Deletion: New Observations and Refined Analysis, 2016, https://arxiv.org/abs/1606.01925.

[18] Jianxin Wang, Wenjun Li, Jianer Chen. A Parameterized Algorithm for the Hyperplane-Cover problem[J]. Theoretical Computer Science, 2010, 411: 4005-4009.

[19] Jianxin Wang, Wenjun Li, Jianer Chen. On the Parameterized Vertex Cover Problem for Graphs with Perfect Matching[J]. SCIENCE CHINA Information Sciences, 2014, 57(7): 1-12.

[20] Wenjun Li, Jianer Chen, Jianxin Wang. Deeper Local Search for better Approximation on Maximum Internal Spanning Trees[C]// European Symposium on Algorithms (ESA), 2014, 8737: 642-653.

[21] Wenjun Li, Jianxin Wang, Jianer Chen, Yinxin Cao. A 2k-Vertex Kernel for Maximum Internal Spanning Tree[C]// Algorithms and Data Structures Symposium (WADS), 2015, 9214: 495-505.

[22] Wenjun Li, Shuai Hu. Smaller kernels for several FPT problems based on simple observations[C]// International Frontiers of Algorithmics Workshop (FAW), 2015, 9130: 170-179

[23] Wenjun Li, Haiyan Liu, Jianxin Wang, Lingyun Xiang, Yongjie Yang. A 42k Kernel for the Complementary Maximal Strip Recovery Problem[C]// International Frontiers of Algorithmics Workshop (FAW), 2017175-186.

[24] Wenjun Li, Jianxin Wang, Chao Xu, and Yongjie Yang. An Improved Branching Algorithm for (n, 3)-MaxSAT Based on Refined Observations. COCOA 2017, 2017.

[25] Wenjun Li, Junjie Ye and Yixin Cao. Kernelization for P2-packing: A Gerrymandering Approach[C]// International Frontiers of Algorithmics Workshop (FAW), 2018. pp: 140-153.

[26] Mugang Lin, Qilong Feng, Jianer Chen. Wenjun Li. Partition on trees with supply and demand: Kernelization and algorithms[J]. Theoretical Computer Science, 2017, 657: 11-19

[27] Qilong Feng, Qian Zhou, Wenjun Li, Jianxin Wang. Kernelization in Parameterized Computation: A Survey[J]. Tsinghua Science and Technology, 2014, 19(4): 338-345

[28] Yongjie Yang, Yash Raj Shrestha, Wenjun Li, Jiong Guo. Kernelization of Two Path Searching Problems on Split Graphs[C]// International Frontiers of Algorithmics Workshop (FAW), 2016, 238-249.

[29] Shuai Hu, Wenjun Li. An Improved Kernel for the Complementary Maximal Strip Recovery Problem [C]// International Computing and Combinatorics Conference (COCOON), 2015, 9198: 601-608.

[30] Mugang Lin, Wenjun Li, Qilong Feng. Parameterized Minimum Cost Partition of a Tree with Supply and Demand [C]// International Frontiers of Algorithmics Workshop (FAW), 2015, 9130: 180-189.

[31] Yongjie Yang, Yash Raj Shrestha, Wenjun Li, Jiong Guo. On the Kernelization of Split Graph Problems. Theoretical Computer Science. 2018, 734:72-82..

[32] Huixi Li, Wenjun Li, Qilong Feng, Shigeng Zhang, Haodong Wang, Jianxin Wang. Leveraging content similarity among VMI files to allocate virtual machines in cloud[J]. Future Generation Computer Systems, 2018, 79: 528-542.

[33] Huixi Li, Wenjun Li, Haodong Wang, Jianxin Wang. An Optimization of Virtual Machine Selection and Placement by Using Memory Content Similarity for Server Consolidation in Cloud [J]. Future Generation Computer Systems, 2018, 84:98-107.

[34] href="#!" Huixi Li, Wenjun Li, Shigeng Zhang, HaodongWang, Yi Pan, JianxinWang, Page-sharing-based virtual machine packing with multi-resource constraints to reduce network traffic in migration for clouds. Future Generation Computer Systems, Volume 96, July 2019, Pages 462-471.

[35] Chao Xu, Wenjun Li, Jianxin Wang, Yongjie Yang. An Improved Algorithm for the (n, 3)-MaxSAT problem: Asking Branchings to Satisfy the Clauses. Journal of Combinatorial Optimization (JOCO). 2019, Accepted.

[36] Guozhen Rong, Wenjun Li, Yongjie Yang, Jianxin Wang: Reconstruction and verification of chordal graphs with a distance oracle. Theor. Comput. Sci. 859: 48-56 (2021)

[37] Guozhen Rong, Wenjun Li, Jianxin Wang, Yongjie Yang: Cycle Extendability of Hamiltonian Strongly Chordal Graphs. SIAM J. Discret. Math. 35(3): 2115-2128 (2021)

[38] Chao Xu, Wenjun Li, Jianxin Wang, Yongjie Yang: An improved algorithm for the (n, 3)-MaxSAT problem: asking branchings to satisfy the clauses. J. Comb. Optim. 42(3): 524-542 (2021)


6授权发明专利

(1) 发明专利:李文军、张思杨、张经宇等. 基于启发式算法的可持续无线传感器网络系统构建方法. ZL 2021 1 0755857.4. 2023425.

(2) 发明专利:李文军徐华奕丁洋. 一种数据传输网的建立方法、系统及相关装置. ZL 2019 1 0816606.5. 2023425

7、所获学术荣誉及学术影响

1、 中国计算机学会(CCF)理论计算机科学专委会委员;

2、 中国人工智能学会(CAAI)智慧医疗专委会委员;

3、 湖南省计算机学会理事;

4、 湖南省人工智能学会理事;

6湖南省计算机学会机器视觉与医学影像专委会委员。

 

 


下一篇:邓泽林

Copyright © 2020 All Right Reserved 欧博官网 计算机与通信工程学院 版权所有

地址:欧博官网云塘校区理科楼B-404物联网实验室 电话:0731-85258462