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姓名： 赵伟 |
职称： 副教授 |
E-Mail：zhaoweistuart@gmail.com 个人主页：https://zwlab23.github.io/Homepage/ |
主要研究方向：
深度强化学习、无线网络资源分配与优化、边缘计算、边缘缓存
个人简介：
安徽工业大学计算机科学与技术学院副教授，硕士生导师，2011.09-2011.11在日本信息研究所实习，2012年在中国科学技术大学获硕士学位，2012.04-2015.09通过国家留学基金委高水平大学项目（CSC）在日本东北大学攻读博士学位，2016-2018通过日本JSPS项目在日本大阪大学从事博士后研究。主要研究无线网络资源分配与优化、深度强化学习、边缘计算、以及边缘缓存等，在TVT、IEEE Network、IEICE、Globecom、MSN等国际期刊和会议上发表多篇论文，相关研究成果获2014 Globecom 最佳论文奖、2014 WCSP最佳论文奖。先后主持完成国家自然科学青年基金一项、安徽省重点实验室开放基金一项、以及教育部发展中心产学研项目一项。先后获批2016安徽省留学归国人员创新创业项目、2016江苏省人才计划科技副总、安徽省教育厅 2017年平台引进高层次人才资助奖等人才项目。
学术服务：
1.国际期刊审稿人
IEEE TVT, TII,IoT Journal,IEICE,IEEE TWC,IEEE Network,IJCDS，IEEETGCN等
2.国际会议程序委员会委员（TCP）
-IEEE Wireless Communications and Networking Conference (WCNC 2021, 2019),
-10th EAI International Conference on Mobile Networks and Management (EAI MONAMI 2020，2021)
-IEEE Middle East & North Africa Communications Conference (MENACOMM 2019)
-IEEE International Conference on Communications (ICC 2020, 2019, 2018)
-International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2019, 2020)
-9th International Conference on Data Science, Technology and Applications (data 2020)
-Wireless Days (WD 2019，2021)
-4th Cyber Security in Networking (CSNet 2020)
-2nd International Sustainability and Resilience Conference (SRC 2020)
-Sixth International Conference on e-Learning (ECONF 2020)
3.国际会议主席
-General Chair: Reinforcement Learning and Federated Learning for Trustworthy in Industrial Internet (RFTI 2021)
-Poster & Demo Co-Chairs: The 7th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM 2021)
-Web Chair: 1st International Workshop on Heterogeneous Mobile/Multi-Access Edge Computing (HMEC 2019)
-Publication Chair: 5th International Conference on Cloud and Big Data Computing (CBDCom 2019)
所授课程：
物联网通信技术、C++面向对象程序设计
科研课题：
主持国家自然科学青年基金1项（2018.01-2020.12）、教育部科学发展发展中心产学研项目1项(2020.01-2021.12)、安徽省重点实验开放基金1项(2019.01-2020.12)，2016安徽省留学归国人员创新创业项目、2016江苏省人才计划科技副总、安徽省教育厅 2017年平台引进高层次人才资助奖。
代表性论著：
n期刊论文
[1]Wei Zhao, et al. “ETC-IoT: Edge-Node-Assisted Transmitting for the Cloud-Centric Internet of Things.” IEEE Network 32.3 (2018): 101-107. DOI: 10.1109/MNET.2018.1700164（中科院大类1区）
[2]Wei Zhao, Jiajia Liu, and Takahiro Hara. "Optimal Replica Distribution in Edge-Node-Assisted Cloud-P2P Platforms for Real-Time Streaming." IEEE Transactions on Vehicular Technology (2018 TVT). DOI: 10.1109/TVT.2018.2839725（中科院大类2区）
[3]Wei Zhao, et al. "DAPA: Capacity optimization in wireless networks through a combined design of density of access points and partially overlapped channel allocation." IEEE Transactions on Vehicular Technology 65.5 (2016 TVT): 3715-3722. (中科院大类2区)
[4]Ruilin Pan, Chuanming Ge, Wei Zhao (通讯), Xun Shao. “A New Similarity Model based on Collaborative Filtering for New User Cold Start Recommendation” , IEICE Transaction on Information and SystemsVol.E103-D,No.06,pp.-,Jun. 2020 (SCI).
[5]Qian Wang, Qingmei Zhou, Wei Zhao (通讯), Xuangou Wu, Xun Shao. Top-N Recommendation using Low-rank Matrix Completion and Spectral Clustering, IEICE Trans. on Communications Vol.E103-B,No.9,pp.-,Sep. 2020 .(SCI).
[6]Jiayi Zhou, Chuanhua Zhou, Wei Zhao, “Multi-channel Sliced Deep RCNN with Residual Network for Text Classification”, Chinese Journal of Electronics 2020, 29(05):880-886.(SCI).
[7]Xiujun Wang, Gaoming Yang, Ji Zhang, Zhi Liu, Xuangou Wu, Wei Zhao, Huibin Feng, “A Block-wise Updating Strategy for Approximate Duplicate Detection”, IEEE Access 2020, accepted. (SCI).
[8]Fan Wu, Si Hong, Wei Zhao(通讯), Xiaoyan Wang, Xun Shao, Xiao Zheng. “Neural Networks with Improved Extreme Learning Machine for Demand Prediction of Bike-sharing”, Mobile Networks and Applications 2020, accepted. (SCI).
[9]Shi, Shuyu, Stephan Sigg, Wei Zhao, and Yusheng Ji. "Monitoring attention using ambient FM radio signals." IEEE Pervasive Computing 13, no. 1 (2014): 30-36. (中科院大类2区)
n会议论文
[1]Wei Zhao, Taoyang Zhou, Xuangou Wu, Xiujun Wang, Ruilin Pan, and Xun Shao. Boosting Cooperative Game with Complete Information in Multi-UAV Mesh Router Networks. 16th International Conference on Mobility, Sensing and Networking (MSN), Dec. 12-17, 2020. Tokyo, Japan. (CCF C)
[2]Chen, X. , Wu, X. , Wang, X. , Zhao, W. , & Xue, W. . Real-location Reporting Based Differential Privacy Trajectory Protection for Mobile Crowdsensing. 2019 5th IEEE International Conference on Big Data Computing and Communications (BIGCOM). Aug. 9-11, 2019, Qingdao, China.
[3]Zhao, W., Qiu, W., Zhou, T., Shao, X. and Wang, X.. Sarsa-based Trajectory Planning of Multi-UAVs in Dense Mesh Router Networks. In 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Dec 9-13, 2019, Hawaii, USA.
[4]Zhao, Wei, Lianwei Zhu, Xuangou Wu, Zhi Liu, Xiujun Wang, Ruilin Pan, and Takahiro Hara. "Resource Assignment for Real-Time Streaming in Edge Node-Assisted Transmitting." 2019 IEEE Global Communications Conference (GLOBECOM), Oct. 21-23 2019, Barcelona, Spain. (CCF C)
[5]Wei Zhao, Wen Qiu, Chuanhua Zhou, Zhi Liu, and Takahiro Hara. Edge-node Assisted Live Video Streaming: A Coalition Formation Game Approach, IEEE Global Communications Conference (GLOBECOM), Dec 9-13, 2018, Abu Dhabi, UAE. (CCF C)
[6]Zhao, W., Xin, W., Zheng, X., & Hara, T. Comparison Study On UAV Movement for Adapting to Multimedia Burst in Post-Disaster Networks. In 2018 IEEE International Conference on Smart Computing (SMARTCOMP), June 18-20, 2018, Sicily, Italy .
[7]Jiayi Zhou, Chuanhua Zhou, and Wei Zhao, “Multi-channel Sliced Deep RCNN with Residual Network for Text Classification”, in 5-th International Conference on Artificial Intelligence and Security, July 26-28, 2019, New York, USA.
[8]Fan Wu, Si Hong, Wei Zhao, Xiao Zheng, and Xun Shao, “A novel neural network model for demand prediction of bike-sharing”, 10th EAI International Conference on Mobile Networks and Management (MONAMI 2020), August 25-27, 2020, Chiba, Japan.
[9]Xiujun Wang, Yan Gao, Yangzhao Yang, Xiao Zheng, Zhe Dang, Xuangou Wu, Wei Zhao. “An Efficient Protocol for Tag-information Sampling in RFID Systems”. In 10th EAI International Conference on Mobile Networks and Management (MONAMI 2020), August 25-27, 2020, Chiba, Japan.
[10]Zhao, W., Fadlullah, Z., Nishiyama, H., Kato, N., & Hamaguchi, K.. On joint optimal placement of access points and partially overlapping channel assignment for wireless networks. In 2014 IEEE Global Communications Conference (GLOBECOM). Nov. 16-11, 2014, Austin, USA (CCF C)
[11]Zhao, W., Fadlullah, Z., Nishiyama, H., Kato, N., & Hamaguchi, K.. Joint design of density of access points and partially overlapped channel assignment for capacity optimization in wireless networks. 2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP). IEEE. Oct. 10-25, 2014. Hefei, China
[12]Zhao, W., Fadlullah, Z. M., Nishiyama, H., & Kato, N.. Characterizing the impact of non-uniform deployment of APs on network performance under partially overlapped channels. 2013 International Conference on Wireless Algorithms, Systems, and Applications (WASA). Aug. 8-10, 2013. Zhangjiajie, China. (CCF C)
成果展示：
1.2014 GLOBECOM 最佳论文奖(14 Awards from 859 papers)
2.2014 WCSP 最佳论文奖(8 Awards from 213 papers)
