Lastest Update: 9th Sep 2024
Internship Experience
- Imperial Vision Technology/Power System and Equipment Industry Research Institute(Jan 2023 - present)
mmPowerHAR: A Framework Using mmRadar for Human Activity Recognition in Power Station
Research Assistant (supervised by Prof. Jiang Hao, Fuzhou University and Prof. Chen Zhenghua, Nanyang Technological University)
• Outline:
Based on the situations at the power distribution station, using mmWave radar evaluation boards to realise the determination of personnel posture and trajectory tracking;
• Responsibilities:
Implemented real-time data collection using TI’s mmWave radar, developed deep learning algorithms and achieved human pose classification;
• Achievement:
Authored a research paper and submitted to IEEE Transactions on Network Science and Engineering.
Research Projects
-
Research on Marketization Allocation of Public Data Assets(Jun 2023-present)
National Social Science Foundation Project
Supervisor: Prof. Yong Tang, Fuzhou University
• Outline: Deeply mining the characteristics of public and market-related data and further evaluate its inner value;
• Responsibilities:
Researching the impact of market sentiment on the stock market and quantitative analysis of market sentiment using deep learning and other AI models;
• Achievement:
Published LEET: stock market forecast with long-term emotional change enhanced temporal model in PeerJ Computer Science, 2024.( JCR Q1, IF 3.5) as First author and corresponding author. -
Stock Price Prediction Research Based on RoBERTa-Informer(Jun 2023-Jun 2024)
Supervisor: Prof. Yong Tang, Fuzhou University
• Responsibilities:
Project proposal and opening report writing, algorithm construction and experimentation, completion of project conclusion report and defense PPT production;
• Achievement:
Received provincial scientific innovation fund of ¥10,000for research, excellent conclusion(Only one in Economic and Managememt college). -
Quantitative Finance and Fintech under Artificial Intelligence (Application of Machine Learning in Business Data Analysis and Stock Market Prediction)(Aug 2023-Sep 2023)
Provincial Undergraduate Innovation and Entrepreneurship Training Programme
Supervisor: Prof. Patrick Rebeschini, Oxford University
• Responsibilities:
Exploring the application of deep learning models based on self-attention mechanism in quantitative trading
Under Construction