电子信息工程学院 -

夏克文

时间：2022-06-04 来源：作者：访问量：

夏克文（Kewen Xia）

性别：男

职称：教授

职务或社会兼职：计算智能与无线网络学科方向责任教授,留学生办公室主任,河北省大数据计算重点实验室副主任

邮箱：kwxia@www.ndytng.com

所在部门：通信工程系

主讲课程：

博士生：大数据与数据挖掘（英语授课，省级英语授课品牌课）

硕士生：通信网理论基础（英语授课）

本科生：卫星通信，数字图像处理（英语授课）

导师类型：博士生导师

研究方向

1、计算智能与数据挖掘：主要研究进化计算、粒计算、神经计算、量子计算、深度学习、半监督学习、稀疏表示和凸优化等方法，并应用于无线网络、无人系统、图像处理、大数据和石油测井等领域。

2、无线通信与智能天线：主要研究MIMO、UWB、WSN、导航与定位等无线通信技术和无线网络建模与优化，以及智能天线中的智能化发射技术、接收技术和动态信道分配技术等。

教育背景及工作经历

2000.09~2003.12 西安交通大学电子科学与技术专业，博士

2001.07~2001.08 清华大学物理系物理学专业，高级研修学者

2004.04~今任职于电子信息工程学院，教授

2004.05~2006.05 西安交通大学计算机科学与技术专业，在职博士后

2010.06~2011.06 美国伊利诺伊大学(UIUC)电子通信专业，研究学者

2012.09~2012.10 美国麻省理工学院(MIT)EECS系，高级研究员

2014.09~2014.10 加拿大谢布鲁克大学(USherbrooke)计算机科学系，高级研究员

2015.07~2015.08 爱尔兰沃特福德理工学院(WIT)国际教育中心，访问教授

2016.03~2016.04 澳大利亚中央昆士兰大学(CQU)智能与网络系统中心，访问教授

2017.03~2017.04 美国伍斯特理工学院(WPI)计算机科学系，访问教授

2017.04~2017.04 美国密西根大学(UMich)放射学系，访问教授

2018.09~2018.10 澳大利亚澳洲国立大学(ANU)工程研究院，访问教授

学术论文

[1] Wenbiao Yang, Kewen Xia*, Shurui Fan, Li Wang, Tiejun Li, Jiangnan Zhang, Yu Feng. A Multi-Strategy Whale Optimization Algorithm and Its Application[J]. Engineering Applications of Artificial Intelligence, 2022,108:104558.

[2] Ziping He, Kewen Xia*, Tiejun Li, Baokai Zu, Zhixian Yin, Jiangnan Zhang. A Constrained Graph-Based Semi-Supervised Algorithm Combined with Particle Cooperation and Competition for Hyperspectral Image Classification[J]. Remote Sensing, 2021,13(2): 193.

[3] Sijie Wang, Kewen Xia*, Li Wang, jiangnan Zhang, Huaijin Yang. Improved RPCA method via weighted non-convex regularization for image denoising[J]. IET Signal Processing, 2020, 14(5): 269-277.

[4] Ting Wang, Ke-Wen Xia*, Hai-Lin Tang, Su-Wei Zhang, Mukase Sandrine. A Modified Wolf Pack Algorithm for Multiconstrained Sparse Linear Array Synthesis[J]. International Journal of Antennas and Propagation, 2020, 2020: 948397.

[5] Zhang Jiangnan, Xia Kewen*, He Ziping, Fan Shurui. Dynamic Multi-Swarm Differential Learning Quantum Bird Swarm Algorithm and Its Application in Random Forest Classification Model [J]. Computational Intelligence and Neuroscience, 2020, 2020: 6858541.

[6] Aslam Nelofar, Xia Kewen, Hadi Muhammad Usman. Optimal Wireless Charging Inclusive of Intellectual Routing based on SARSA Learning in Renewable Wireless Sensor Networks[J]. IEEE Sensors Journal, 2019, 19(18):8340-8351.

[7] Baokai Zu, Kewen Xia*, Wei Du, Yafang Li, Ahamd Ali, Sagnik Chakraborty. Classification of Hyperspectral Images with Robust Regularized Block Low-rank Discriminant Analysis[J]. Remote Sensing, 2018, 10(6): 817.

[8] Dongyan Cui, Kewen Xia*. Dimension Reductuion and Strip Surface Defects Recognition Based on Intelligent Information Processing[J]. Arabian Journal for Science and Engineering, 2018, 43(12): 6729-6736.

[9] Xiao Chunjing, Qiao Yongwei, Xia Kewen, Zhang Yuxiang. Research on tourist routes recommendation based on the user preference drifting over time[J]. Computer Systems Science and Engineering, 2018, 3(2): 95-103.

[10] Wang Ting, Xia Ke-wen*, Lu Ning. Pattern Synthesis for Sparse Arrays by Compressed Sensing and Low-Rank Matrix Recovery Method[J]. International Journal of Antennas and Propagation, 2018, 2018: 6403269.

[11] Zhao Dongming, Xia Kewen, Liu Huijuan, Shi Xiaoxu. A Pitch Distribution in Slow-Wave Structure of STWT Using Cauchy Mutated Cat Swarm Optimization With Gravitational Search Operator[J]. Journal of the Chinese Institute of Engineers, 2018, 41 (4): 297-307.

[12] Khan Muhidul Islam, Xia Kewen, Ali Ahamd, Aslam Nelofar. Energy-Aware Task Scheduling by a True Online Reinforcement Learning in Wireless Sensor Networks[J]. International Journal of Sensor Networks, 2017, 25 (4): 244-258.

[13] Hou Jingzhong, Xia Kewen*, Yang Fan, Cui Dongyan. Application research on semi-definite programming optimized support vector machines [J]. Imaging Science Journal, 2018, 66(3):160-168.

[14] Xiao Chunjing, Xia Kewen*, Liu Xin, Zhang Yuxiang, Huo Weigang, Aslam Nelofar. Improving Session-Based Temporal Recommendation by Using Dynamic Clustering[J]. Intelligent Data Analysis, 2017, 21(5):1041-1059.

[15] Bai Jianchuan, Xia Kewen*, Lin Yongliang, Wu Panpan. Attribute Reduction based on Consistent Covering Rough Set and Its Application [J]. Complexity, 2017, 2017: 8986917.

[16] Wenjia Niu, Kewen Xia*, Baokai Zu, Jianchuan Bai. Efficient multiple kernel learning algorithms using low-rank representation [J]. Computational Intelligence and Neuroscience, 2017, 2017: 3678487.

[17] Khan Muhidul Islam, Xia Kewen. Effective Self Adaptive Multiple Source Localization Technique by Primal Dual Interior Point Method in Binary Sensor Networks[J]. IEEE Communications Letters, 2017, 21(5): 1119-1122.

[18] Baokai Zu, Kewen Xia*, Yongke Pan, Wenjia Niu. A Novel Graph Constructor for Semisupervised Discriminant Analysis: Combined Low-Rank and k-Nearest Neighbor Graph [J]. Computational Intelligence and Neuroscience, 2017, 2017: 9290230.

[19] Panpan Wu, Kewen Xia, Hengyong Yu. Correlation Coefficient based Supervised Locally Linear Embedding for Pulmonary Nodule Recognition [J]. Computer Methods and Programs in Biomedicine, 2016, 136:97-106.

[20] Panpan Wu, Kewen Xia*, Hengyong Yu. Relevance Vector Machine based Pulmonary Nodule Classification[J]. Journal of Medical Imaging and Health Informatics, 2016, 6(1): 163-169.

[21] Yongliang Lin, Kewen Xia*, Xiaoqing Jiang, Jianchuan Bai, Panpan Wu. Landslide Susceptibility Mapping Based on Particle Swarm Optimization of Multiple Kernel Relevance Vector Machines: Case of a Low Hill Area in Sichuan Province, China[J]. ISPRS International Journal of Geo-Information, 2016, 5(10): 1-16.

科研项目

1. 河北省自然科学基金项目，面向测井大数据的智能挖掘方法研究（No.E2021202179, 2021.2- 2023.12），主持

2. 河北省重点研发计划项目，智能无人系统自主探测与卫星遥感协同关键技术研究（No. 21351803D, 2021.6-2023.06），主持

3. 国家自然科学基金联合基金项目重点支持项目，约束空间下大载荷建筑施工机器人关键技术研究（No. U1813222, 2019.01-2022.12），主研

4. 河北省重点研发计划项目，旋翼机载多参数环境监测系统研究与应用（No.19210404D，2019.05-2021.12），主研

5. 天津市自然科学基金项目，CT图像肺结节智能检测技术研究（No. 18JCYBJC16500, 2018.04-2021.03），主持

6. 河北省自然科学基金项目，海量复杂测井智能数据挖掘技术研究（No. E2016202341, 2016.01- 2018.12），主持

7. 河北省高等学校科学技术研究项目，基于图像与LIDAR数据融合的室内高精度三维定位技术研究（No. BJ2014013, 2014.11- 2017.12），主持

8. 天津市自然科学基金项目，基于车载多传感器数据的道路目标高精度定位技术研究（No.13JCYBJC37700, 2014.04-2017.03），主持

9. 国家自然科学基金项目，基于车载路景图像三维重建的智能化道路资产建档（IRAI）（No. 51208168, 2013.01-2015.12），主研

10. 河北省高层次人才资助项目，基于压缩传感的粗糙集属性约简技术研究（No. C2012003038, 2013.1-2015.12），主持

11. 天津市自然科学基金项目，基于量子计算智能的测井数据挖掘技术研究（No. 11JCYBJC00900, 2011.04-2014.03），主持

获奖情况

1. 河北省优秀硕士学位论文指导教师（2010, 2012, 2014）

2. 爱尔兰驻华大使馆颁发的“WIT-HEBUT Academic Ambassador”嘉奖（2016）

3. 优秀博士学位论文指导教师（2018,2019）

招生信息

1. 博士后：1-2名/年，不限国内或国外博士，要求研究方向相近，能用英语交流。

2. 博士生：1-2名/年，其中国内1名、国外1名；要求学习背景为电子、通信、计算机，以及数学、物理等相关专业或方向。

3. 硕士生：3-4名/年，其中国内3名、国外1名；国内学生可以申请硕博连读并公派赴美国、加拿大、英国、爱尔兰、北欧和澳大利亚等名校联培。

Kewen Xia

PhD, Professor

School of Electronics and Information Engineering

Hebei University of Technology

Beichen District, Tianjin, 300401, China

E-mail: kwxia@www.ndytng.com

Tel: (86) 022-60435739; Fax: (86) 022-60438244

Courses Taught:

PhD student： Big Data & Data Mining (In English)

Master student： Theory of Telecommunication Network (In English)

Undergraduate：Satellite Communication, Digital Image Processing (In English)

Supervisor Type:

Doctoral Supervisor: Electronic Science and Technology

Master’s Supervisor: Information and Communication Engineering, Electronic Science and Technology, Electronic Information (PRO)

Research Interests

1. Computational Intelligence and Data Mining: mainly focuses on Evolutionary Computing, Granular Computing, Neural Computing, Quantum Computing, Deep Learning, Semi-supervised Learning, Sparse Representation and Convex Optimization, and their Applications in Wireless Communications, Unmanned System, Image Processing, Big Data, Oil Logging and so on.

2. Wireless Communications and Smart Antenna: mainly focuses on OFDM, MIMO, UWB, WSN, Navigation and Positioning, Wireless Network Modeling and Optimization, and intelligent transmitting, intelligent receiving and dynamic channel allocation in Smart Antenna.

Education and Qualifications

Professor, School of electronics and information engineering, Hebei University of Technology

PhD, Electronic Science and Technology, Xi’an Jiaotong University, China

Postdoc, Computer Science and Technology, Xi’an Jiaotong University, China

Senior Scholar, Physics, Department of Physics, Tsinghua University, China

Research Scholar, Electronic Engineering, University of Illinois at Urbana-Champaign, USA

Senior Research Fellow, EECS department, Massachusetts Institute of Technology, USA

Senior Research Fellow, Computer Science, University of Sherbrooke, Canada

Visiting Professor, Centre for International Relations, Waterford Institute of Technology, Ireland

Visiting Professor, Centre for Intelligent & Networked Systems, Central Queensland University, Australia

Visiting Professor, Department of Computer Science, Worcester Polytechnic Institute, USA

Visiting Professor, Radiology department, University of Michigan, Ann Arbor, USA

Visiting Professor, Research School of Engineering, Australian National University, Australia

Academic Papers

[3] Sijie Wang, Kewen Xia*, Li Wang, jiangnan Zhang, Huaijin Yang. Improved RPCA method via weighted non-convex regularization for image denoising[J]. IET Signal Processing, 2020, 14(5): 269-277.

[13] Hou Jingzhong, Xia Kewen*, Yang Fan, Cui Dongyan. Application research on semi-definite programming optimized support vector machines [J]. Imaging Science Journal, 2018, 66(3):160-168.

[15] Bai Jianchuan, Xia Kewen*, Lin Yongliang, Wu Panpan. Attribute Reduction based on Consistent Covering Rough Set and Its Application [J]. Complexity, 2017, 2017: 8986917.

[20] Panpan Wu, Kewen Xia*, Hengyong Yu. Relevance Vector Machine based Pulmonary Nodule Classification[J]. Journal of Medical Imaging and Health Informatics, 2016, 6(1): 163-169.

Research Grants and Roles

[1] Hebei Province Natural Science Foundation, Research on Intelligent Mining Method for Logging Big Data (E2021202179, 2021.2- 2023.12). PI

[2] Key research and development project from Hebei Province, Research on Key Technologies of cooperation between autonomous detection and satellite remote sensing of intelligent unmanned system (No.21351803D, 2021.6-2023.06). PI

[3] Key Supporting Project of the Joint Fund of the National Natural Science Foundation of China, Research on Key Technologies of Construction Robot with Large Load in Constrained Space (No. U1813222, 2019.01-2022.12). Co-PI

[4] Key research and development project from Hebei Province, Research and application of multi-parameter environmental monitoring system based on rotor drone (No.19210404D, 2019-2021). Co-PI

[5] Tianjin Natural Science Foundation, Research on intelligent detection technology of pulmonary nodule in CT images (No. 18JCYBJC16500, 2018.04-2021.03). PI

[6] Hebei Province Natural Science Foundation, Research on intelligent data mining technology in massive complex logging (No. E2016202341, 2016.01-2018.12). PI

[7] Research Project of Science and Technology for Hebei Province Higher Education Institutions, Research on indoor high precision three dimensional localization technology based on data fusion between image and LIDAR (No.BJ201401, 2014.11-2017.12). Co-PI

[8] Tianjin Natural Science Foundation, Study on high precision positioning technology for road target based on multi-sensor data in vehicle (No. 13JCYBJC37700, 2014.04-2017.03). Co-PI

[9] National Natural Science Foundation of China, Intelligent road asset inventory (IRAI) based on 3D reconstruction from vehicle-borne video log images (No.51208168, 2013.01-2015.12). Co-PI

[10] Hebei Province Foundation for High Level Personnel, Rough set attribute reduction technology based on compressed sensing (No. C2012003038, 2013.01-2015.12). PI

[11] Tianjin Natural Science Foundation, Research on logging data mining technology based on quantum computational intelligence (No. 11JCYBJC00900, 2011.04-2014.03). PI

Awards and Honors

1. Supervisor of Outstanding Master Thesis in Hebei Province (2010, 2012, 2014)

2. The “WIT-HEBUT Academic Ambassador” Award from the Irish Embassy in China (2016)

3. Supervisor of Outstanding Doctoral Dissertation in Hebei University of Technology (2018, 2019)

Opening

PhD/Master positions in every year starting from September are available at Prof. Xia's research group for major in Electronic Science & Technology (PhD) or in Communication and Information System (Master), HEBUT, China, with full scholarship support during the academic period. Prof. Xia is looking for the highly motivated and diligent international PhD/Master students with Msc/Bsc degree in EE or CS or related fields (such as computational mathematics, applied physics and industrial engineering) to conduct research on the above topics and exciting projects in his research group.

In addition, a postdoctoral fellow position in every year starting from anytime is available for international scholars who must be a PhD degree’s holder under the age of 40.

Interested applicants please contact Prof. Xia via email at kwxia@www.ndytng.com, including the CV (in English or Chinese), transcripts and publications (if any).