个人简介
2014年在瑞士伯尔尼大学获得博士学位， 2017年11月至2019年8月，在伯尔尼大学担任研究助理教授。2019年9月任职北京航空航天大学电子信息工程学院“卓越百人”特聘副教授。主要研究方向包括无人平台自组网、空天地一体化网、B5G、智能交通等。在国际顶级期刊会议发表论文60余篇。曾担任2019年IEEE WONS大会TPC主席、IEEE INFOCOM 2020EINSTEIN研讨会的主席、IEEE IWCMC 2021执行副主席。他还担任Elsevier Computer Communications和Elsevier Ad Hoc Networks杂志的编委。
研究领域
空基智能组网技术、陆海空天一体化技术、边缘智能技术
近期论文
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Yijie Wang,Ziping Yu,Xianbin Cao.AOR: Adaptive Opportunistic Routing Based on Reinforcement Learning for Planetary Surface Exploration:Computer Communications,2023
Meng Xiao,Huanxi Cui,Xianbin Cao,Dapeng Wu.Joint 3D Deployment and Beamforming for RSMA-Enabled UAV Base Station with Geographic Information:IEEE Transactions on Wireless Communications
Jingxuan Chen,Peng Yang,Siqiao Ren,Xianbin Cao,Depeng Wu.Enhancing AIoT Device Association with Task Offloading in Aerial MEC Networks:IEEE Internet of Things
Meng Xiao,Huanxi Cui,Dianrun Huang,Xianbin Cao,Dapeng Wu.Traffic-Aware Energy-Efficient Resource Allocation for RSMA Based UAV Communications:IEEE Transactions on Network Science and Engineering,2023
Yafei Qi,Zhibo Zhang,Dmitry Korzun.Fast and Accurate Multiple Frequency Estimation with Padé Approximation:IEEE Vehicular Technology Conference 2023,2023
Zan Li,Xiaohui Zhao,Zhongliang Zhao,Torsten Braun.CrowdFusion: Multi-Signal Fusion SLAM Positioning Leveraging Visible Light:IEEE Internet of Things Journal,2023
Jingxuan Chen,Xianbin Cao,Peng Yang,Meng Xiao,Siqiao Ren,Dapeng Oliver Wu.Deep Reinforcement Learning Based Resource Allocation in Multi-UAV-Aided MEC Networks:IEEE Transactions on Communications,2022
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.[期刊]:IEEE Transactions on Network Science and Engineering,2022
Hantao Li,Feng Liu,Mostafa Karimzadeh.Effective Safety Message Dissemination with Vehicle Trajectory Predictions in V2X Networks.[期刊]:Sensors,2022
Christian Esposito,Vincenzo Moscato,Giancarlo Sperlì,Zhongliang Zhao.On Attacks To Federated Learning and a Blockchain-empowered Protection.[会议录]: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.[期刊]:Elsevier Computer Communications,2022
Zhongliang Zhao*.Predictive UAV Base Station Deployment and Service Offloading with Distributed Edge Learning.[期刊].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.[会议录].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.[会议录].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.[会议录].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.[会议录]: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.[期刊].IEEE Transactions on Wireless Communications:IEEE Transactions on Wireless Communications,2021
Zhongliang Zhao*,Mostafa Karimzadeh,Lucas Pacheco,Hugo Santos,Denis Rosario,Torsten Braun,Eduardo Cerqueira.Mobility Management with Transferable Reinforcement Learning Trajectory Prediction.[期刊]:IEEE Transactions on Network and Service Management,2020
Christian Esposito,Jacek Rak.Reinforced Secure Gossiping against DoS Attacks in Post-Disaster Scenarios.[期刊].美国:IEEE Access,2020
Allan Souza,Horacio Oliveira,Torsten Braun,Leandro Villas,Antonio A. F. Loureiro.Enhancing Sensing and Decision-Making of Automated Driving Systems With Multi-Access Edge Computing and Machine Learning.[期刊]:IEEE Intelligent Transportation Systems Magazine,2020
Zan Li,Xiaohui Zhao,Fengye Hu,Zhongliang Zhao,Torsten Braun.SoiCP: A Seamless Outdoor–Indoor Crowdsensing Positioning System:IEEE Internet of Things Journal,2019
Zhongliang Zhao,Jose Carrera,Torsten Braun,Zhiyang Pan.Conditional probability-based ensemble learning for indoor landmark localization:Computer Communications,2019
Christian Esposito,Zhongliang Zhao,Ramon Alcarria,Gianluca Rizzo.Game Theoretic Optimal User Association in Emergency Networks:The 18th International Conference on Ad Hoc Networks and Wireless (AdHoc-Now 2019),2019
Jakob Schaerer,Zhongliang Zhao,Jose Carrera,Severin Zumbrunn,Torsten Braun.SDNWisebed: A Software-Defined WSN Testbed:Ad-Hoc, Mobile, and Wireless Networks,2019
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