牛晓光

武汉大学计算机学院 计算机科学系 网络研究所

研究方向

大数据挖掘管理与分析,机器学习与智能交互,计算机网络,模式识别,网络安全,无线网络,物联网,智能计算

教育背景

牛晓光，武汉大学计算机学院教授，CCF/IEEE/ACM会员，CCF物联网专委会委员，教育部创新团队成员。研究领域包括移动感知与智能计算、物联网、空间智能认知与位置服务、计算机网络、网络安全与隐私保护、模式识别/人工智能在移动计算/位置服务方面的应用。主持国家自然科学基金2项，国家重点研发计划项目子课题2项，湖北省自然科学基金2项，湖北省教改项目1项，教育部重点实验室开放基金1项。作为研究骨干获中国测绘科技进步特等奖1项，北京市科技进步三等奖1项；在国际期刊和会议发表论文30余篇(SCI 检索21篇)，担任多个国际会议/SCI期刊的审稿人。

工作经验

教授课程

《计算机网络》、《物联网定位技术》、《物联网应用与技术》

发表论文

近期论文：

[1] Xiaoguang Niu, Kaiyi Zou, Da Shen, Steve Drew, Shaowu Wu, GuangyiGuo, Ruizhi Chen. UltraMotion: High-precision Ultrasonic Arm Tracking for Real-world Exercises. in IEEE Transactions on Mobile Computing, pp. 1-18, doi: 10.1109/TMC.2023.3241077.

[2] Yuanzhuo Xu，Xiaoguang Niu, Jie Yang, Steve Drew, Jiayu Zhou, Ruizhi Chen. USDNL: Uncertainty-based Single Dropout in Noisy Label Learning. In 37th AAAI Conference on Artificial Intelligence(AAAI), pp. 1-7, AAAI, 2023. (EI检索)

[3] Shiwen Gong, Dandan Liu, MdZakirulAlamBhuiyan, and Xiaoguang Niu. OCP: an OLAP-based bus crowdedness smart-perceiving mechanism for urban transportation. Connection Science 34, no. 1 (2022): 2066-2083.(SCI检索)

[4] 陈锐志,钱隆,牛晓光,徐诗豪,陈亮,裘超. 基于数据与模型双驱动的音频/惯性传感器耦合定位方法. 测绘学报. 51(7):1160-1171, 2022. (EI检索)

[5] Chao Qiu, Yuanzhuo Xu, Yu Zhu, LuyaoXie, Da Shen, Junhui Huang, and Xiaoguang Niu. MAGINS: Neural Network Inertial Navigation System Corrected by Magnetic Information. In 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC), pp. 1-8. IEEE, 2021.(EI检索)

[6] XingxingXiong, Shubo Liu, Dan Li, ZhaohuiCai, and Xiaoguang Niu. Real-time and private spatio-temporal data aggregation with local differential privacy. Journal of Information Security and Applications 55 (2020): 102633.(SCI检索)

[7] Siyu Chen, Yu Zhu, Xiaoguang Niu, and Zhiyong Hu. Improved window segmentation for deep learning based inertial odometry. 2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC), pp. 1-7. IEEE, 2020.(EI检索)

[8] XingxingXiong, Shubo Liu, Dan Li, ZhaohuiCai, and Xiaoguang Niu. A comprehensive survey on local differential privacy. Security and Communication Networks 2020 (2020).(SCI检索)

[9] Xiaoguang Niu, LuyaoXie, Jiawei Wang, Haiming Chen, Dandan Liu, and Ruizhi Chen. AtLAS: An activity-based indoor localization and semantic labeling mechanism for residences. IEEE Internet of Things Journal 7, no. 10 (2020): 10606-10622.(SCI检索)

[10] Shiyu Li, Dengpan Ye, Shunzhi Jiang, Changrui Liu, Xiaoguang Niu, and Xiangyang Luo. Anti-steganalysis for image on convolutional neural networks. Multimedia Tools and Applications 79, no. 7 (2020): 4315-4331.(SCI检索)

[11] XingxingXiong, Shubo Liu, Dan Li, Jun Wang, and Xiaoguang Niu. Locally differentially private continuous location sharing with randomized response. International Journal of Distributed Sensor Networks 15, no. 8 (2019): 1550147719870379.(SCI检索)

[12] Fangfang Ma, Shubo Liu, XingxingXiong, and Xiaoguang Niu. Privacy protection based on local differential privacy for numerical sensitive data of wearable devices. Journal of Computer Applications 39, no. 7 (2019): 1985.(SCI检索)

[13] Zhibo Wang, Jiahui Hu, Qian Wang, RuizhaoLv, Jian Wei, Honglong Chen, and Xiaoguang Niu. Task-bundling-based incentive for location-dependent mobile crowdsourcing. IEEE Communications Magazine 57, no. 2 (2019): 54-59.(SCI检索)

[14] Zheng Li, Jingbin Liu, Fan Yang, Xiaoguang Niu, Leilei Li, Zemin Wang, and Ruizhi Chen. A Bayesian density model based radio signal fingerprinting positioning method for enhanced usability. Sensors 18, no. 11 (2018): 4063.(SCI检索)

[15] Xiaoguang Niu, Chun Zhang, Ankang Wang, Jingbin Liu. A Crowdsourcing-based Wi-Fi Fingerprinting Mechanism Using Un-Supervised Learning. International Conference on Wireless Algorithms, Systems, and Applications (WASA2018), pp. 1-9, Mar., 2018.(EI检索)

[16] Zhibo Wang, Ran Tan, Jiahui Hu, Jing Zhao, Qian Wang, Feng Xia, and Xiaoguang Niu. Heterogeneous incentive mechanism for time-sensitive and location-dependent crowdsensing networks with random arrivals. Computer Networks, 131(2018), pp.96-109, 2018. (SCI检索)

[17] Xiaoguang Niu, Jiawei Wang, Qiongzan Ye, Yihao Zhang. A Privacy-Preserving Incentive Mechanism for Participatory Sensing Systems. Security and Communication Networks (SCN), pp.1-15, 2018. doi:10.1155/2018/2593537. (SCI检索)

[18] Xiaoguang Niu, Zhen Wang, Qiongzan Ye, Yihao Zhang, Jiawei Wang. A hierarchical-learning-based crowdedness estimation mechanism for crowdsensing buses. IEEE International Performance Computing and Communications Conference (IPCCC2017), pp. 1-8, Dec., 2017. (EI检索)

[19] Xiaoguang Niu, Yihao Zhang, Yalan Yao, Xu Chen*, JosepMiquelJornet, Jin Liu. An Energy-Efficient Source-Anonymity Protocol in Surveillance Systems. Personal and Ubiquitous Computing (PUC), 20(5), pp.771-783, 2016. (SCI检索)

[20] Ziwei Liu, Xiaoguang Niu, Xu Lin, Ting Huang, Yunlong Wu, Hui Li. A Task-centric Cooperative Sensing Scheme for Mobile Crowdsourcing Systems. Sensors, 16(5):1-19, 2016. (SCI检索)

[21] Xiaoguang Niu, Yihao Zhang, Ting Huang, Xiaoping Wu. OSim: An OLAP-based Similarity Search Service Solver for Dynamic Information Networks. International Conference on Wireless Algorithms, Systems, and Applications (WASA2016), LNCS, Vol. 9798, pp.536-547, Aug. 2016. (EI检索)

[22] 牛晓光, 魏川博. 无线传感网中能量均衡高效的源位置隐私保护协议. 通信学报, 37(4):2016069, 2016. (EI检索)

[23] Xiaoguang Niu, Ying Zhu, Qingqing Cao, Kun Zheng, Wei Xie. An Online Traffic Prediction Based Routing Service Mechanism for Smart City. International Journal of Distributed Sensor Networks IJDSN, 2015(970256):1-16, 2015. (SCI检索)

[24] 牛晓光, 魏川博, 冯为江, 彭国军, 张焕国. ONSA:传感网中基于优化非均匀统计特性的源匿名协议. 通信学报, 36(6):2015143, 2015. (EI检索)

[25] Jin Liu, Juan Li, Xiaohui Cui, Xiaoguang Niu, Xiaoping Sun, Jing Zhou. Social Sensing Enhanced Time Estimation for Bus Service. Concurrency and Computation: Practice and Experience, 27(15), pp. 3961-3981, 2015. (SCI检索)

[26] Jin Liu, Juan Li, Xiaoguang Niu, Xiaohui Cui, Yunchuan Sun. GreenOCR: An Energy-efficient Optimal Clustering Routing Protocol. Computer Journal. 58(6), pp.1344-1359, 2015. (SCI检索)

[27] Xiaoguang Niu, Meng Li, Qianyuan Chen, Qingqing Cao, Houzhen Wang. EPPI: An E-cent-based Privacy-preserving Incentive Mechanism for Participatory Sensing Systems. IEEE International Performance Computing and Communications Conference (IPCCC2014), pp. 1-8, Dec., 2014. (EI检索)

[28] Xiaoguang Niu, Ying Zhu, Xining Zhang. DeepSense: A Novel Learning Mechanism for Traffic Prediction with Taxi GPS Traces. IEEE Global Telecommunications Conference (GLOBECOM2014), pp. 2805-2810, Dec., 2014. (EI检索)

[29] Xiaoguang Niu, Meng Li, Jin Liu. WTrack: HMM-based Walk Pattern Recognition and Indoor Pedestrian Tracking Using Phone Inertial Sensors. Personal and Ubiquitous Computing (PUC), 18(8), pp.1901-1915, 2014. (SCI检索)

[30] Xiaoguang Niu, Chuanbo Wei, Weijing Feng. OSAP: Optimal-cluster-based Source Anonymity Protocol in Delay-sensitive Wireless Sensor Networks. IEEE Wireless Communications and Networking Conference (WCNC 2014), pp.2880- 2885, Apr., 2014(EI检索)

获奖情况：

2022 中国测绘科技进步奖特等奖

2018 全国研究生移动终端应用设计创新大赛一等奖 - "优秀指导教师"

2018 中国高校计算机大赛-"优秀指导教师"

2013 全国大学生信息安全竞赛一等奖 - "优秀指导教师"

2014 北京科技进步三等奖

科研课题

研究团队

本课题组招收博士/硕士研究生和优秀本科生，将为学生提供良好的工作学习环境、待遇和悉心的指导，欢迎有意从事物联网、移动感知与智能计算、空间智能认知与位置服务、模式识别、群智感知隐私保护方向研究的同学与我联系。课题组将努力引导学生接触最新的科学研究，发表高水平研究成果，为将来毕业工作或继续深造打造良好的基础。对于优秀学生，本课题组将提供去国外高校学习交流的机会，以及推荐到国内外知名大学攻读博士学位。

知识产权

学术服务

成果展示

其他