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Jingjing Zheng (Publications)

Jingjing Zheng (Publications)

Jingjing Zheng (Publications)

PhD Student

Jingjing Zheng was born in 1991 in Hubei, China. From a very young age he showed enormously passionate about computers and mathematics. During his college years, he participated in China Undergraduate Mathematical Contest in Modeling three times, and obtained the Second Prize in Jiangxi Province, the First Prize in Jiangxi Province, the Second Prize in the Nation, respectively. In 2015 he began to study Control Science and Engineering at the Guangdong University of Technology, where he had done the master thesis of Research on Resource Allocation and Multi-agent Co-optimization for Dynamic Heterogeneous Multi-core Processors, and having obtained a good result through peer reviews. After that he rceived the M.S.degree from Guangdong University of Technology, China, in June 2018. Currently his research interests are in Real Time Embedded Systems, Multi-core processors and Optimization Algorithm. 

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Journal Papers
Leverage Variational Graph Representation for Model Poisoning on Federated Learning CISTER-TR-240507 
Kai Li, Xin Yuan, Jingjing Zheng, Wei Ni, Falko Dressler, Abbas JamalipourIEEE Transactions on Neural Networks and Learning Systems (TNNLS) (TNNLS), IEEE. 3, May, 2024.
Biasing Federated Learning with A New Adversarial Graph Attention Network CISTER-TR-241101 
Kai Li, Jingjing Zheng, Wei Ni, Hailong Huang, Pietro Lio, Falko Dressler, Ozgur B. AkanIEEE Transactions on Mobile Computing (TMC) (TMC), IEEE. 2024.
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach CISTER-TR-240201 
Kai Li, Jingjing Zheng, Xin Yuan, Wei Ni, Ozgur B. Akan, H. Vincent PoorIEEE Transactions on Information Forensics and Security (TIFS) (TIFS), IEEE. 2024.
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT CISTER-TR-220503 
Jingjing Zheng, Kai Li, Wei Ni, Eduardo Tovar, Mohsen Guizani, Naram MhaisenIEEE Internet of Things Journal (IoTJ), IEEE. 2022.
BloothAir: A Secure Aerial Relay System Using Bluetooth Connected Autonomous Drones CISTER-TR-210202 
Kai Li, Ning Lu, Jingjing Zheng, Pei Zhang, Wei Ni, Eduardo TovarACM Transactions on Cyber-Physical Systems (TCPS), ACM. 9, Feb, 2021.In press.
Confidentiality and Timeliness of Data Dissemination in Platoon-based Vehicular Cyber-Physical Systems CISTER-TR-210402 
Kai Li, Wei Ni, Jingjing Zheng, Eduardo Tovar, Mohsen GuizaniIEEE Network (NET-M), IEEE. 2021.In press
Conference or Workshop Papers/Talks
Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation Mapping CISTER-TR-240302 
Jingjing Zheng, Kai Li, Xin Yuan, Wei Ni, Eduardo TovarThe Web Conference 2024 (TheWebConf (WWW 2024) 2024). 13 to 17, May, 2024. Singapore, Singapore.
Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things CISTER-TR-230301 
Kai Li, Xin Yuan, Jingjing Zheng, Wei Ni, Mohsen GuizaniInternational Wireless Communications & Mobile Computing Conference (IWCMC) (IWCMC). 19 to 23, Jun, 2023, IoT & Wireless Sensors. Marrakesh, Morocco.Kai Li is a chair of AI FOR AUTONMOUS UNMANNED SYSTEMS SYMPOSIUM (AAUSS).
Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach CISTER-TR-221201 
Jingjing Zheng, Kai Li, Wei Ni, Eduardo Tovar, Mohsen Guizani, Naram MhaisenIEEE Wireless Communications and Networking Conference (WCNC2023). 2022. Glasgow, Scotland, United Kingdom.
Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing CISTER-TR-210305 
Jingjing Zheng, Kai Li, Eduardo Tovar, Mohsen Guizani17th International Wireless Communications & Mobile Computing Conference (IWCMC 2021). 28, Jun to 2, Jul, 2021. Harbin, China.Jingjing Zheng, Kai Li, Eduardo Tovar, Mohsen Guizani
Conference or Workshop Posters/Demos
A Practical Secret Key Management for Multihop Drone Relay Systems based on Bluetooth Low Energy CISTER-TR-210601 
Kai Li, Ning Lu, Jingjing Zheng, Pei Zhang, Wei Ni, Eduardo TovarDemo in International Conference on Sensing, Communication and Networking (SECON). 6 to 9, Jul, 2021, Demo. Virtual conference.
Exploring Visual Explanations for Defending Federated Learning against Poisoning Attacks CISTER-TR-240902 
Jingjing Zheng, Kai Li, Xin Yuan, Wei Ni, Eduardo TovarPoster presented in The 30th Annual International Conference on Mobile Computing and Networking (MobiCom 2024). 2024. Washington, D.C., U.S.A..