科研状况
发表论文
[1] Li H , Liu Y , Qin Z , et al. ALarge-scale Urban Vehicular Network Framework for IoT in Smart Cities[J]. IEEEAccess PP(99):1-1
[2] H Li, Liu Y , Zhou S . Power inSilence: Revealing the Stationarity of Private-owned Vehicle in Urban VehicularAd Hoc Networks[C]// the 6th ACM Symposium. ACM, 2016.
[3] Li H , Liu Y , Yi S , et al. PlaceIdentification in Location Based Urban VANETs[C]// IEEE InternationalConference on Mobile Ad Hoc & Sensor Systems. IEEE, 2015.
[4]Heng, Li, Yonghe, et al. Toward Locationbased Vehicular Networks in Urban Environments[J]. Procedia Computer Science,2014, 34:442-449.
[5] Siwang Zhou, Zhineng Chen, Qian Zhong,Heng Li.Block compressed sampling of image signals by saliency based adaptivepartitioning. Multim. Tools Appl. 78(1): 537-553 ,2019
[6] Zhou, S. , Xiang, S. , Liu, X. , &Li, H. Asymmetric Block Based Compressive Sensing for Image Signals[C]// 2018IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2018.
[7] Jalali, R. , Koohi-Fayegh, S. ,El-Khatib, K. , Hoornweg, D. , & Li, H. Investigating the Potential ofRidesharing to Reduce Vehicle Emissions[J]. Urban Planning, 2017, 2(2):26.
[8] Li, W. , Zheng, Q. , Hui, Y. , Rui, L., Lu, O. , & Li, H. . (2016). An Approach to Rule Placement inSoftware-Defined Networks. the 19th ACM International Conference. ACM.
[9] Arshad, S. , Feng, C. , Liu, Y. , Hu,Y. , & Li, H. . (2017). Wi-chase: A WiFi based human activity recognitionsystem for sensorless environments. 2017 IEEE 18th International Symposium on" World of Wireless, Mobile and Multimedia Networks (WoWMoM). IEEE.
软件著作权、发明专利
1. 2020SR0343961 基于WiFi的室内环境自适应人体活动识别系统
2. 2018SR246740 实时液体检测系统v1.0
3. 2018SR246862 深度学习可视化系统
4. 2018SR237273 基于WIFI的室内人体活动检测系统V1.0
5. CN201310723027.9 一种身份认证方法及装置,发明人:林亚平,赵小超,周四望,李珩,范金桥,贺新初,朱韧,李炎,姜峰