About
I am a Postdoc at the Hong Kong Generative AI Research and Development Center, The Hong Kong University of Science and Technology, advised by Prof. Dapeng Wu.
Prior to this, I obtained a PhD degree in Computer Science from The University of Sydney, advised by A/Prof. Wei Bao and Prof. Albert Y. Zomaya.
My current research focuses on federated learning, edge computing, semi-supervised learning, and multi-modal LLMs.
Selected Publications
View All →Pleno-Alignment Framework for Stock Trend Prediction
Yongcan Luo, Jiahao Zheng, Zhengjie Yang, Ning Chen, Dapeng Wu
IEEE Transactions on Neural Networks and Learning Systems
FairGuard: A Fairness Attack and Defense Framework in Federated Learning
Xinyi Sheng, Zhengjie Yang, Wei Bao
IEEE Transactions on Dependable and Secure Computing
Hierarchical federated learning with adaptive momentum in multi-tier networks
Zhengjie Yang, Sen Fu, Wei Bao, Dong Yuan, Bing Zhou
2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)
Federated Learning with Nesterov Accelerated Gradient
Zhengjie Yang, Wei Bao, Dong Yuan, Nguyen H Tran, Albert Y Zomaya
IEEE Transactions on Parallel and Distributed Systems
Follow me fog: Toward seamless handover timing schemes in a fog computing environment
Wei Bao, Dong Yuan, Zhengjie Yang, Shen Wang, Wei Li, Bing Bing Zhou, Albert Y Zomaya
IEEE Communications Magazine
News
Our work has been accepted by a prestigious journal 🎉
Starting my PhD at the University of Example