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Qianlong Wang
Qianlong Wang
Bestätigte E-Mail-Adresse bei towson.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Channel state information prediction for 5G wireless communications: A deep learning approach
C Luo, J Ji, Q Wang, X Chen, P Li
IEEE transactions on network science and engineering 7 (1), 227-236, 2018
4142018
Earthquake prediction based on spatio-temporal data mining: an LSTM network approach
Q Wang, Y Guo, L Yu, P Li
IEEE Transactions on Emerging Topics in Computing 8 (1), 148-158, 2017
1922017
Multidimensional time series anomaly detection: A gru-based gaussian mixture variational autoencoder approach
Y Guo, W Liao, Q Wang, L Yu, T Ji, P Li
Asian Conference on Machine Learning, 97-112, 2018
1532018
AI at the edge: Blockchain-empowered secure multiparty learning with heterogeneous models
Q Wang, Y Guo, X Wang, T Ji, L Yu, P Li
IEEE Internet of Things Journal 7 (10), 9600-9610, 2020
572020
Unsupervised anomaly detection in IoT systems for smart cities
Y Guo, T Ji, Q Wang, L Yu, G Min, P Li
IEEE Transactions on Network Science and Engineering 7 (4), 2231-2242, 2020
532020
Spectrum availability prediction in cognitive aerospace communications: A deep learning perspective
L Yu, Q Wang, Y Guo, P Li
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA), 1-4, 2017
442017
STEP: A spatio-temporal fine-granular user traffic prediction system for cellular networks
L Yu, M Li, W Jin, Y Guo, Q Wang, F Yan, P Li
IEEE Transactions on Mobile Computing 20 (12), 3453-3466, 2020
412020
Online power control for 5G wireless communications: A deep Q-network approach
C Luo, J Ji, Q Wang, L Yu, P Li
2018 IEEE International Conference on Communications (ICC), 1-6, 2018
392018
TrafficChain: A blockchain-based secure and privacy-preserving traffic map
Q Wang, T Ji, Y Guo, L Yu, X Chen, P Li
Ieee Access 8, 60598-60612, 2020
352020
Community detection in online social networks: A differentially private and parsimonious approach
T Ji, C Luo, Y Guo, Q Wang, L Yu, P Li
IEEE transactions on computational social systems 7 (1), 151-163, 2020
282020
Learning to Learn Gradient Aggregation by Gradient Descent.
J Ji, X Chen, Q Wang, L Yu, P Li
IJCAI, 2614-2620, 2019
282019
Spectrum availability prediction for cognitive radio communications: A DCG approach
L Yu, Y Guo, Q Wang, C Luo, M Li, W Liao, P Li
IEEE Transactions on Cognitive Communications and Networking 6 (2), 476-485, 2020
262020
Energy-efficient computation offloading in mobile edge computing systems with uncertainties
T Ji, C Luo, L Yu, Q Wang, S Chen, A Thapa, P Li
IEEE Transactions on Wireless Communications 21 (8), 5717-5729, 2022
212022
Resisting distributed backdoor attacks in federated learning: A dynamic norm clipping approach
Y Guo, Q Wang, T Ji, X Wang, P Li
2021 IEEE International Conference on Big Data (Big Data), 1172-1182, 2021
132021
Deep Q-Network-Based Feature Selection for Multisourced Data Cleaning
Q Wang, Y Guo, L Yu, X Chen, P Li
IEEE Internet of Things Journal 8 (21), 16153-16164, 2020
132020
Perrnn: Personalized recurrent neural networks for acceleration-based human activity recognition
X Wang, W Liao, Y Guo, L Yu, Q Wang, M Pan, P Li
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
122019
Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology
A Falayi, Q Wang, W Liao, W Yu
Future Internet 15 (5), 178, 2023
102023
A fairness-aware peer-to-peer decentralized learning framework with heterogeneous devices
Z Chen, W Liao, P Tian, Q Wang, W Yu
Future Internet 14 (5), 138, 2022
92022
Toward combatting COVID-19: A risk assessment system
Q Wang, Y Guo, T Ji, X Wang, B Hu, P Li
IEEE Internet of Things Journal 8 (21), 15953-15964, 2021
92021
Economy: Point clouds-based energy-efficient autonomous navigation for UAVs
T Ji, Y Guo, Q Wang, X Wang, P Li
IEEE Transactions on Network Science and Engineering 8 (4), 2885-2896, 2021
72021
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