李文军副教授
发布时间: 2020-03-16 10:20:16 浏览量:
新利luck在线·(中国)有限公司官网计算机与通信工程学研究生导师基本信息表 |
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1、个人基本信息: |
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姓 名:李文军 |
性 别:男 |
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出生年月:1982年08月 |
技术职称:副教授 |
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毕业院校:中南大学 |
学历(学位):博士 |
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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、物联网 |
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2、教育背景: |
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1999.9-2003.7 |
湘潭大学 |
学士 |
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2007.9-2010.7 |
中南大学 |
硕士 |
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2010.9-2014.12 |
中南大学 |
博士 |
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2011.10-2012.10 |
美国Texas A&M University |
联培 |
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3、目前研究领域: |
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计算机算法优化、人工智能、物联网 |
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4、已完成或已在承担的主要课题: |
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已完成或主持国家自然科学基金面上项目1项,国家自然科学基金青年基金项目1项,湖南省自然科学基金青年基金项目1项,湖南省教育厅一般项目(自然科学)1项,湖南省学位与研究生教育改革研究项目1项,新利luck在线·(中国)有限公司官网教研教改项目1项。明细如下: [1] 国家自然科学基金面上项目:基于深层局部搜索技术的核心化技术研究 (61872048,项目经费63万元. 研究时限为2019.01-2022.12)。在研,主持。 [2] 国家自然科学基金青年基金项目: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)。已完成,主持。 [3] 湖南省自然科学青年基金项目:大数据时代WSN中NP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)。已完成,主持。 [4] 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)已完成,主持。 [5] 湖南省2019年学位与研究生教育改革研究项目《“新工科”背景下计算机专业硕士研究生课程体系建设研究》(项目编号:2019JGYB178)。在研,主持。 [6] 新利luck在线·(中国)有限公司官网教研教改项目《互联网时代背景下移动计算课程教学模式研究》(项目编号:JG201866)。在研,主持。 |
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5、已发表的学术论文:
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[1] 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[J]. IEEE Internet of Things Journal, 2019, DOI:10.1109/JIOT.2019.2949352 (中科院一区) [2] 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, vol.786, pp.55-66, 2019 (CCF推荐B类期刊) [3] Wenjun Li, Zhenyu Chen, Xingyu Gao, Wei Liu, Jin Wang. Multi-Model Framework for Indoor Localization under Mobile Edge Computing Environment[J]. IEEE Internet of Things Journal, 6(3) ,2019, pp. 4844 - 4853. (中科院一区) [4] 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. (CCF推荐A类期刊) [5] 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 (CCF推荐B类期刊) [6] Wenjun Li, Binhai Zhu. A 2k-vertex kernel for Vertex Cover based on Crown Decomposition[J]. Theoretical Computer Science. 2018, 739: 80-85. (CCF推荐B类期刊) [7] 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. [8] 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. [9] Jianxin Wang, Wenjun Li, Jianer Chen. A Parameterized Algorithm for the Hyperplane-Cover problem[J]. Theoretical Computer Science, 2010, 411: 4005-4009. [10] 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. [11] 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. (CCF 推荐B类会议) [12] 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. [13] 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 [14] 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), 2017,175-186. [15] Wenjun Li, Jianxin Wang, Chao Xu, and Yongjie Yang. An Improved Branching Algorithm for (n, 3)-MaxSAT Based on Refined Observations. COCOA 2017, 2017. [16] Wenjun Li, Junjie Ye and Yixin Cao. Kernelization for P2-packing: A Gerrymandering Approach[C]// International Frontiers of Algorithmics Workshop (FAW), 2018. Accepted. [17] ChaoXu, WenjunLi, YongjieYang, JianerChen and JianxinWang. Resolution and Domination: An Improved Exact MaxSAT Algorithm[C]//IJACI,2019. (CCF推荐A类会议) [18] Yuping Ke, Yixin Cao, Xiating Ouyang, Wenjun Li, Jianxin Wang. Unit interval vertex deletion: Fewer vertices are relevant. Journal of Computer and System Sciences, 2018, https://doi.org/10.1016/j.jcss. 2018.01.001. [19] 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 [20] Qilong Feng, Qian Zhou, Wenjun Li, Jianxin Wang. Kernelization in Parameterized Computation: A Survey[J]. Tsinghua Science and Technology, 2014, 19(4): 338-345 [21] 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. [22] 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. [23] 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. [24] Yongjie Yang, Yash Raj Shrestha, Wenjun Li, Jiong Guo. On the Kernelization of Split Graph Problems. Theoretical Computer Science. 2017, https://doi.org/10.1016/j.tcs.2017.09.023. [25] 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. [26] 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. 2018, 84: 98-107. [27] Huixi Li, Wenjun Li, Zhang Shigen, et al. Page-sharing-based virtual machine packing with multi-resource constraints to reduce network traffic in migration for clouds[J]. Future Generation Computer Systems, 2019, 96: 462-471.
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7、 所获学术荣誉及学术影响: |
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1、 中国计算机学会理论计算机专委委员 2、 IEEE会员 3、 中国计算机学会会员 |
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