A master's candidate at the School of Software, Yunnan University, passionate about deep learning collaborative blockchain, focusing on utilizing deep learning methods to make blockchains work better. I am currently engaged in research that explores the use of reinforcement learning methods to optimize blockchain performance within an IoT framework.
My research interests encompass a wide range of topics including reinforcement learning, time series forecasting, blockchain technology, IoT, and federated learning.
For more information about my work, please refer to platforms such as [Researchgate] and [ORCID].