王雪元
   发布时间: 2023-03-26    访问次数: 1306


 

王雪元

博士讲师

 

常州大学

计算机与人工智能学院  阿里云大数据学院  软件学院

 

江苏常州 213164

 

E-MAIL: xywang@cczu.edu.cn

 

 

 

 

教育背景:

2016.08-2021.07  美国锡拉丘兹大学电子与计算机工程    哲学博士

2014.08-2016.05  美国锡拉丘兹大学电子工程专业        理学硕士

2009.09-2013.06  北京邮电大学    电子科学与技术专业   理学学士

 

工作履历:

2021.12-至今 常州大学  计算机与人工智能学院、阿里云大数据学院、软件学院  讲师

 

学术兼职:

IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Network Magazine, Science China Information Sciences, Chines Journal of Aeronautics 等期刊审稿人

 

研究领域:

机器学习强化学习分布式系统

多智能体联合控制无人机系统 路径规划

移动通信5G/6G  网络优化

 

学术成果:

期刊论文

1. Xueyuan Wang, Mustafa Cenk Gursoy, ``Resilient Path Planning for UAVs in Data Collection under Adversarial Attacks, in IEEE Transactions on Information Forensics & Security, 2023SCI, 中科院1TOP, CCF-A2022影响因子=7.231)  

2. Xueyuan Wang, Mustafa Cenk Gursoy, Tugba Erpek and Yalin E. Sagduyu, ``Learning-Based UAV Path Planning for Data Collection with Integrated Collision Avoidance, in IEEE Internet of Things Journal, vol. 9, no. 17, pp. 16663-16676, September 2022.SCI, 中科院1TOP, CCF-C2022影响因子=10.238

3. Xueyuan Wang, Mustafa Cenk Gursoy, ``Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints, in IEEE Transactions on Wireless Communicationsvol. 21, no. 6, pp. 4350-4363, June 2022. SCI, 中科院 1TOP, CCF-B2022影响因子=8.346

4. Xueyuan Wang, Mustafa Cenk Gursoy, ``Uplink Coverage in Heterogeneous mmWave Cellular Networks With Clustered Users,  in IEEE Access, vol. 9, no. 4, pp. 69439-69455, April 2021. SCI, 中科院3区,2022影响因子=3.476

5. Xueyuan Wang, Mustafa Cenk Gursoy, ``Coverage Analysis for Energy-Harvesting UAV-Assisted mmWave Cellular Networks, in IEEE Journal on Selected Areas in Communications, vol. 37, no. 12, pp. 2832-2850, Dec. 2019. SCI, 中科院 1TOP, CCF-A2022影响因子=13.081

6. Xueyuan Wang, Esma Turgut and Mustafa Cenk Gursoy, ``Coverage in Downlink Heterogeneous mmWave Cellular Networks With User-Centric Small Cell Deployment,  in IEEE Transactions on Vehicular Technology, vol. 68, no. 4, pp. 3513-3533, April 2019. SCI, 中科院 2TOP2022影响因子=6.239

会议论文(近三年)

1. Ziyang Lu, Xueyuan Wang, Mustafa Cenk Gursoy, ``Trajectory Design for Unmanned Aerial Vehicles via Meta-Reinforcement Learning”, IEEE Conference on Computer Communications Workshops (INFOCOM Wksps) 2023.

2. Xueyuan Wang and Mustafa Cenk Gursoy, ``Resilient UAV Path Planning for Data collection under Adversarial Attacks, in Proc. of the IEEE International Conference on Communications (ICC), Seoul, South Korea, 2022. 

3. Xueyuan Wang, Mustafa Cenk Gursoy, Tugba Erpek and Yalin E. Sagduyu, ``Collision-Aware UAV Trajectories for Data Collection via Reinforcement Learning, in Proc. of the IEEE Global Communications Conference (GLOBECOM), Madrid, Spain 2021.

4. Xueyuan Wang, Mustafa Cenk Gursoy, ``Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints, in Proc. of the IEEE International Conference on Communications (ICC), Montreal, QC, 2021.

5. Xueyuan Wang, Mustafa Cenk Gursoy, Tugba Erpek and Yalin E. Sagduyu, ``Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning, in Proc. of the IEEE International Conference on Communications Workshops (ICC Workshops), Montreal, QC, 2021.

6. Xueyuan Wang, Mustafa Cenk Gursoy, ``Coverage in Networks with Hybrid Terahertz, Millimeter Wave, and Microwave Transmissions, in Proc. of the  IEEE 18th Annual Consumer Communications \& Networking Conference (CCNC), Las Vegas, NV, 2021.

研究项目:

1. 2022.10-2024.10 环境信息部分可观测下实现多目标平衡的无人机集群路径规划算法研究,常州市应用基础研究计划,主持

 

奖励与荣誉:

1. 美国锡拉丘兹大学2021-2022年度优秀博士毕业生

2. 美国锡拉丘兹大学全额奖学金、LePage Fellowship奖学金

3. 美国锡拉丘兹大学Future Professoriate Program荣誉证书

4. 北京邮电大学电子工程学院优秀学生干部、特殊贡献奖

 

主授课程:

数据结构数据库

 

招生:

硕士研究生:请见学院硕士研究生招生简章。有意向学生请将简历发邮件xywang@cczu.edu.cn,使用邮件主题“申请硕士研究生+姓名+毕业院校+专业”。由于时间精力有限,恕无法一一回复申请;邮件会在收到申请后一周内回复相关符合条件的申请人。

1. 招生要求:

(1)  有浓厚科研学习兴趣,自我激励性强,善于沟通;

(2)  编程能力:MATLABPython等语言,TensorFlowPyTorch等深度学习框架;

(3)  对机器学习、神经网络、强化学习有一定基础。

(4)  较好的数学、英语基础;

2. 附加说明:

(1) 请预先了解实验室近期发表的相关论文;

(2) 无学院、专业限制。


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