Back
  1. Home
  2. Profile of Hui HUANG (Unilu)
Profil

HUANG Hui

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN

ORCID
0000-0002-5134-2081
Main Referenced Co-authors
STATE, Radu  (4)
Fang, Wenqi (3)
Li, Huiyun (3)
WANG, Yiqun  (3)
Dang, S. (2)
Main Referenced Keywords
Collective perceptions (2); connected and autonomous vehicles (2); Crop mapping (2); Cropland data layer (2); cropland data layer (2);
Main Referenced Disciplines
Computer science (12)

Publications (total 12)

The most downloaded
142 downloads
HUANG, H., Hassan, M., Geers, G., & Libman, L. (13 August 2018). CarAgent: Collecting and disseminating floating car data in vehicular networks. Vehicular Communications, 13. doi:10.1016/j.vehcom.2018.08.002 https://hdl.handle.net/10993/44371

The most cited

126 citations (OpenAlex)

Zhang, J., Wu, F. W., Wei, B., Zhang, Q., HUANG, H., Shah, S. W., & Cheng, J. (2020). Data Augmentation and Dense-LSTM for Human Activity Recognition using WiFi Signal. IEEE Internet of Things Journal. doi:10.1109/JIOT.2020.3026732 https://hdl.handle.net/10993/44668

WANG, Y., HUANG, H., & STATE, R. (09 May 2024). Cross Domain Early Crop Mapping with Label Spaces Discrepancies using MultiCropGAN. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-1-2024, 241-248. doi:10.5194/isprs-annals-X-1-2024-241-2024
Peer Reviewed verified by ORBi

WANG, Y., HUANG, H., & STATE, R. (2024). Cross Domain Early Crop Mapping Using CropSTGAN. IEEE Access, 12, 130800 - 130815. doi:10.1109/ACCESS.2024.3436620
Peer Reviewed verified by ORBi

WANG, Y., HUANG, H., & STATE, R. (2023). Early Crop Mapping Using Dynamic Ecoregion Clustering: A USA-Wide Study. Remote Sensing. doi:10.3390/rs15204962
Peer Reviewed verified by ORBi

HUANG, H., XU, Y., Zhang, J., & STATE, R. (2023). NIRWatchdog: Cross-Domain Product Quality Assessment Using Miniaturized Near-Infrared Sensors. IEEE Internet of Things Journal, 1-1. doi:10.1109/jiot.2023.3331948
Peer Reviewed verified by ORBi

Zhang, J., Wu, F. W., Wei, B., Zhang, Q., HUANG, H., Shah, S. W., & Cheng, J. (2020). Data Augmentation and Dense-LSTM for Human Activity Recognition using WiFi Signal. IEEE Internet of Things Journal. doi:10.1109/JIOT.2020.3026732
Peer Reviewed verified by ORBi

Fang, W., Zhang, S., HUANG, H., Dang, S., Huang, Z., Li, W., Wang, Z., Sun, T., & Li, H. (28 August 2020). Learn to Make Decision with Small Data for Autonomous Driving : Deep Gaussian Process and Feedback Control. Journal of Advanced Transportation, 2020. doi:10.1155/2020/8495264
Peer Reviewed verified by ORBi

Fang, W., Li, H., HUANG, H., Dang, S., Huang, Z., & Wang, Z. (2020). Sparse Gaussian Process Based On Hat Basis Functions. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-5). IEEE. doi:10.1109/ICECCE49384.2020.9179226
Peer reviewed

HUANG, H., Li, H., Shao, C., Sun, T., Fang, W., & Dang, S. (10 January 2020). Data Redundancy Mitigation in V2X based Collective Perceptions. IEEE Access, 8, 13405 - 13418. doi:10.1109/access.2020.2965552
Peer Reviewed verified by ORBi

HUANG, H., Fang, W., & Li, H. (2019). Performance Modelling of V2V based Collective Perceptions in Connected and Autonomous Vehicles. In 2019 IEEE 44th Conference on Local Computer Networks (LCN) (pp. 356--363). IEEE. doi:10.1109/LCN44214.2019.8990854
Peer reviewed

Fang, W., Li, H., Dang, S., HUANG, H., Peng, L., Hsu, L., & Wen, W. (2019). Combining Deep Gaussian Process and Rule-Based Method for Decision-Making in Self-Driving Simulation with Small Data. In 2019 15th International Conference on Computational Intelligence and Security (CIS) (pp. 267-271). IEEE. doi:10.1109/CIS.2019.00063
Peer reviewed

HUANG, H., Hassan, M., Geers, G., & Libman, L. (13 August 2018). CarAgent: Collecting and disseminating floating car data in vehicular networks. Vehicular Communications, 13. doi:10.1016/j.vehcom.2018.08.002
Peer Reviewed verified by ORBi

HUANG, H., Libman, L., & Geers, G. (2015). An agent based data collection scheme for vehicular sensor networks. In 24th International Conference on Computer Communications and Networks, ICCCN 2015. doi:10.1109/ICCCN.2015.7288374
Peer reviewed

Contact ORBilu