李文軍副教授
發(fā)布時(shí)間: 2020-03-16 10:20:16 瀏覽量:
長(zhǎng)沙理工大學(xué)計(jì)算機(jī)與通信工程學(xué)研究生導(dǎo)師基本信息表 |
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1、個(gè)人基本信息: |
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姓 名:李文軍 |
性 別:男 |
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出生年月:1982年08月 |
技術(shù)職稱:副教授 |
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畢業(yè)院校:中南大學(xué) |
學(xué)歷(學(xué)位):博士 |
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所在學(xué)科: 計(jì)算機(jī)科學(xué)與技術(shù) |
研究方向:計(jì)算機(jī)算法、人工智能、物聯(lián)網(wǎng) |
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2、教育背景: |
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1999.9-2003.7 |
湘潭大學(xué) |
學(xué)士 |
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2007.9-2010.7 |
中南大學(xué) |
碩士 |
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2010.9-2014.12 |
中南大學(xué) |
博士 |
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2011.10-2012.10 |
美國(guó)Texas A&M University |
聯(lián)培 |
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3、目前研究領(lǐng)域: |
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計(jì)算機(jī)算法優(yōu)化、人工智能、物聯(lián)網(wǎng) |
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4、已完成或已在承擔(dān)的主要課題: |
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已完成或主持國(guó)家自然科學(xué)基金面上項(xiàng)目1項(xiàng),國(guó)家自然科學(xué)基金青年基金項(xiàng)目1項(xiàng),湖南省自然科學(xué)基金青年基金項(xiàng)目1項(xiàng),湖南省教育廳一般項(xiàng)目(自然科學(xué))1項(xiàng),湖南省學(xué)位與研究生教育改革研究項(xiàng)目1項(xiàng),長(zhǎng)沙理工大學(xué)教研教改項(xiàng)目1項(xiàng)。明細(xì)如下: [1] 國(guó)家自然科學(xué)基金面上項(xiàng)目:基于深層局部搜索技術(shù)的核心化技術(shù)研究 (61872048,項(xiàng)目經(jīng)費(fèi)63萬元. 研究時(shí)限為2019.01-2022.12)。在研,主持。 [2] 國(guó)家自然科學(xué)基金青年基金項(xiàng)目:基于核心化技術(shù)的FPT算法研究 (61502054,項(xiàng)目經(jīng)費(fèi)20萬元. 研究時(shí)限為2016.01-2018.12)。已完成,主持。 [3] 湖南省自然科學(xué)青年基金項(xiàng)目:大數(shù)據(jù)時(shí)代WSN中NP難解問題的核心化算法研究(2017JJ3333, 項(xiàng)目經(jīng)費(fèi)5萬元,研究時(shí)限為2017.01-2019.12)。已完成,主持。 [4] 湖南省教育廳一般項(xiàng)目:參數(shù)計(jì)算中核心化技術(shù)研究 (17C0047, 項(xiàng)目經(jīng)費(fèi)1萬元,研究時(shí)限為2017.09-2019.08)已完成,主持。 [5] 湖南省2019年學(xué)位與研究生教育改革研究項(xiàng)目《“新工科”背景下計(jì)算機(jī)專業(yè)碩士研究生課程體系建設(shè)研究》(項(xiàng)目編號(hào):2019JGYB178)。在研,主持。 [6] 長(zhǎng)沙理工大學(xué)教研教改項(xiàng)目《互聯(lián)網(wǎng)時(shí)代背景下移動(dòng)計(jì)算課程教學(xué)模式研究》(項(xiàng)目編號(hào):JG201866)。在研,主持。 |
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5、已發(fā)表的學(xué)術(shù)論文:
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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 (中科院一區(qū)) [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推薦B類期刊) [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. (中科院一區(qū)) [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推薦A類期刊) [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推薦B類期刊) [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推薦B類期刊) [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 推薦B類會(huì)議) [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推薦A類會(huì)議) [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、 所獲學(xué)術(shù)榮譽(yù)及學(xué)術(shù)影響: |
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1、 中國(guó)計(jì)算機(jī)學(xué)會(huì)理論計(jì)算機(jī)專委委員 2、 IEEE會(huì)員 3、 中國(guó)計(jì)算機(jī)學(xué)會(huì)會(huì)員 |
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