团队简介
本团队面向国家重大战略需求，围绕学校行业特色与优势，服务安徽省“三地一区”建设和区域经济发展，长期从事计算机网络、新型智能服务网络、分布式计算、网络与数据安全、数据隐私保护、软件服务工程与领域软件工程研究。近年来，承担国家基金项目8项，省重大专项、省协同攻关项目、省重点研究与开发项目、科技强警等省级项目20余项，与企业委托重大产学研项目10余项。团队在工业互联网、智能物联网、网络安全与隐私保护和行业数字化底座方面取得一系列重要研究成果。发表包括CCF A、B、C类高水平论文在内的论文80余篇，授权发明专利40余项，获省级和行业协会科技奖3项。
团队成员
本团队现有成员10人，其中教授2人、副教授3人、博士教师9人，
教 授：吴宣够 郑 啸
副 教 授：陶 陶 赵 伟 王修君
青年博士：卫琳娜 王 越 高云全 樊 旭 陆长彬
代表性科研项目
1. 国家自然科学基金面上项目，面向联邦学习的异构智能物联网资源优化研究
2. 国家自然科学基金面上项目，面向路径隐私保护的移动群智感知数据收集研究
3. 国家自然科学基金青年项目，不可靠无线传感器网络中自适应稀疏压缩采样关键技术研究
4. 国家自然科学基金青年项目，多无人机MANETs协同应急网络
5. 安徽省高校协同创新项目，工业互联网边缘智能计算平台及应用系统
6. 安徽省高校协同创新项目，路边辅助感知协同的自动驾驶技术
7. 安徽省青年自然科学基金项目面上项目，基于深度强化学习的雾协同实时视频传输
8. 安徽省高等学校自然科学研究重点项目，基于深度强化学习的移动雾协同缓存
9. 安徽省青年自然科学基金项目, 基于低空轻小型无人机的遥感红外图像拼接技术研究
10. 天津大学微光机电系统技术教育部重点实验室, 立体视觉系统快速标定方法,
11. 安徽省高等学校自然科学基金重点项目, 面向物联网环境的可信数据聚合方法研究
代表性论文
[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.
[2]. Xiujun Wang, Zhi Liu, Yan Gao,Xiao Zheng, Zhe Dang, Xiaojun Shen, "A Near-Optimal Protocol for the Grouping Problem in RFID systems", IEEE Transactions on Mobile Computing.
[3]. Xiujun Wang, Zhi Liu, Susumu Ishihara, Zhe Dang, Jie Li, A Near-Optimal Protocol for the Subset Selection Problem in RFID Systems, The 16th International Conference on Mobility, Sensing and Networking (MSN 2020),Tokyo, Japan on 17 - 19 December 2020 (最佳论文奖)
[4]. 吴宣够, 储昭斌等，链路不可靠下稀疏投影无线传感器网络数据收集研究[J]. 计算机学报, 2019, 42 (2):160-174.
[5]. Xuangou Wu, Zhaobin Chu, Panlong Yang, Chaocan Xiang, Xiao Zheng, Wenchao Huang, TW-See: Human Activity Recognition through the Wall with Commodity Wi-Fi Devices [J]. IEEE Transactions on Vehicular Technology, 2019, 68(1): 306-319
[6]. Xuangou Wu, Panlong Yang, Shaojie Tang, Xiao Zheng, Xiaolin Wang, Privacy-Aware Data Publishing against Sparse Estimation Attack [J]. Journal of Network and Computer Applications, 2018, 109: 78-88.
[7]. Xuangou Wu, Shaojie Tang, Panlong Yang, Chaocan Xiang, Xiao Zheng, Cloud is Safe when Compressive: Efficient Image Privacy Protection via Shuffling Enabled Compressive Sensing [J]. Computer Communications, 2018, 117: 36-45.
[8]. 吴宣够, 王朋飞, 郑啸, 樊旭. 基于路径上报的车联网用户轨迹隐私保护研究[J]. 计算机研究与发展，2017, 54(11): 2467-2474.
[9]. Xiujun Wang, Yusheng Ji, Zhe Dang,Xiao Zheng, Baohua Zhao, Improved weighted Bloom filter and space lower bound analysis of algorithms for approximated membership query. The 20th International Conference on Database Systems for Advanced Applications 2015 (DASFAA), pp. 346-362, Hanoi, Vietnam (最佳论文候选)
[10]. Xuangou Wu, Panlong Yang, Shaojie Tang, Xiao Zheng and Yang Xiong, Privacy preserving RSS map generation for a crowdsensing network [J]. IEEE Wireless Communications, 2015, 22(4): 42-48.
[11]. Xuangou Wu, Yan Xiong, Panlong Yang, Shouhong Wan, and Wenchao Huang, Sparsest random scheduling for compressive data gathering in wireless sensor networks [J]. IEEE Transactions on Wireless Communications, 2014, 13(10): 5867-5877.
[12]. Xuangou Wu, Panlong Yang, Taeho Jung, Yan Xiong, and Xiao Zheng, Compressive sensing meets unreliable link: sparsest random scheduling for compressive data gathering in lossy WSNs[C]. ACM MobiHoc, 2014: 13-22. (Best paper candidate，最佳候选论文)
[13]. 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.
[14]. 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.
[15]. Wei Zhao, et al. “ETC-IoT: Edge-Node-Assisted Transmitting for the Cloud-Centric Internet of Things.” IEEE Network 32.3 (2018): 101-107.
[16]. Yunquan Gao, Xiaoyong Li, Jirui Li, Yali Gao. Distributed and Efficient Minimum-Latency Data Aggregation Scheduling for Multi-Channel Wireless Sensor Networks[J]. IEEE Internet of Things Journal, 2019，6(5): 8482-8495.
[17]. Yunquan Gao, Xiaoyong Li, Jirui Li, Yali Gao. A Trustworthy Data Aggregation Model Based on Context and Data Density Correlation Degree[C]，ACM MSWiM, 2018: 265-273.
[18]. Yue Wang; Xiangjun Wang ; A mobile stereo vision system with variable baseline distance for three-dimensional coordinate measurement in large FOV, Measurement, 2021, 175: 109086
[19]. Yue Wang; Xiangjun Wang ; On-line three-dimensional coordinate measurement of dynamic binocular stereo vision based on rotating camera in large FOV, Optics Express, 2021, 29(4): 4986-5005
[20]. Yue Wang; Jing Rui; Xuefeng Zhang; Xiangjun Wang;Xuangou Wu ; Method for online matchingof multiple identical targets using local homography matrix based on Moving DLT, Measurement Science and Technology, 2022, 33: 055009
科研获奖
- 生物行为启发的智能计算方法及应用，安徽省自然科学奖
- 钢铁冶金质量大数据分析云服务平台，冶金科技技术奖
-基于多组织协同物资供应链管理关键技术研究与应用，中国物流与采购联合会科技进步奖
