赵中亮
Zhongliang Zhao*,Negar Emami,Hugo Santos,Lucas Pacheco,Mostafa Karimzadeh,Torsten Braun,Arnaud Braud,Benoit Radier,Philippe Tamagnan.Reinforced-LSTM Trajectory Prediction-driven Dynamic Service Migration: A Case Study.[J]:IEEE Transactions on Network Science and Engineering,2022
Hantao Li,Feng Liu,Zhongliang Zhao*,Mostafa Karimzadeh.Effective Safety Message Dissemination with Vehicle Trajectory Predictions in V2X Networks.[J]:Sensors,2022
Christian Esposito,Vincenzo Moscato,Giancarlo Sperlì,Zhongliang Zhao*.On Attacks To Federated Learning and a Blockchain-empowered Protection.[Conference]:IEEE Consumer Communications and Networking Conference (IEEE CCNC 2022),2022
Zhongliang Zhao,Pedro Cumino,Christian Esposito,Meng Xiao,Denis Rosario,Torsten Braun,Eduardo Cerqueira,Susana Sargento.Smart Unmanned Aerial Vehicles as Base Stations Placement to Improve the Mobile Network Operations.[J]:Elsevier Computer Communications,2022
Zhongliang Zhao*.Predictive UAV Base Station Deployment and Service Offloading with Distributed Edge Learning.[J].IEEE Transactions on Network and Service Management:IEEE Transactions on Network and Service Management,2021
Lucas Pacheco,Helder Oliveira,Denis Rosário,Zhongliang Zhao*,Eduardo Cerqueira,Torsten Braun,Paulo Mendes.Towards the Future of Edge Computing in the Sky: Outlook and Future.[Conference].Cyprus:International Conference on Distributed Computing in Sensor Systems (IEEE DCOSS 2021),2021
Mostafa Karimzadeh,Alessandro Esposito,Zhongliang Zhao,Torsten Braun,Susana Sargento.RL-CNN: Reinforcement Learning-designed Convolutional Neural Network for Urban Traffic Flow Estimation.[Conference].China:IEEE International Wireless Communications & Mobile Computing Conference (IEEE IWCMC 2021),2021
Mostafa Karimzadeh,Samuel Martin Schwegler,Zhongliang Zhao,Torsten Braun,Susana Sargento.MTL-LSTM: Multi-Task Learning-based LSTM for Urban Traffic Flow Forecasting.[Conference].China:The International Wireless Communications and Mobile Computing Conference (IEEE IWCMC 2021),2021
,M. Karimzadeh, R. Aebi, A. Souza, Z. Zhao, T. Braun, S. Sargento, L. Villas.Reinforcement Learning-designed LSTM for Trajectory and Traffic Flow Prediction.[Conference]:IEEE Wireless Communications and Networking Conference, 2021.,2021
Zan Li,Xiaohui Zhao,Zhongliang Zhao,Torsten Braun.WiFi-RITA Positioning: Enhanced Crowdsourcing Positioning based on Massive Noisy User Traces.[J].IEEE Transactions on Wireless Communications:IEEE Transactions on Wireless Communications,2021