Honglin Liao bio photo

Email

Github

Google Scholar

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