Be brave! You will not be younger than today anymore.

About me

• Curious man, who is exploring the frontier of the interdisciplinary of AI + Civil Engineering/Trading

• Currently a PhD student at the University of Queensland, Brisbane, Australia🇦🇺 fully funded by the QUEX Institution (01/2026 - present)

• Quant researcher at a crypto trading company in Shanghai, China🇨🇳(10/2024 - 06/2025)

• Achieved a Distinction master’s degree in Financial Technology at UCL, London, UK🇬🇧(09/2023 - 09/2024)

• Achieved a First-class bachelor’s degree in Artificial Intelligence at the University of Manchester, Manchester, UK🇬🇧(09/2020 - 07/2023)

Recent Research

• AI for Time Series Causality in Complex System

Granger Causality Detection with Kolmogorov-Arnold Networks

Discovering causal relationships in time series data is central in many scientific areas, ranging from economics to climate science. Granger causality is a powerful tool for causality detection....

https://arxiv.org/abs/2412.15373

• PINN for Option Pricing by Solving Black-Schole’s equation

• Algorithmic Trading by Different Strategies

• Improving PINNs By Algebraic Inclusion of Boundary and Initial Conditions

Improving PINNs By Algebraic Inclusion of Boundary and Initial Conditions

"AI for Science" aims to solve fundamental scientific problems using AI techniques. As most physical phenomena can be described as Partial Differential Equations (PDEs) , approximating their...

https://arxiv.org/abs/2407.20741

• Comparison and Analysis of Prediction for High Volatility Stocks Using Different Machine Learning Models [published]-(first/corresponding author)

Comparison and Analysis of Prediction for High Volatility Stocks using Different Machine Learning Models - EUDL

As the global situation is facing many unpredictable risks, like the covid pandemic and the wars between some countries, a high level of volatility is disturbing the stock market in a world range. Besides, due to the development of machine learning techniques, more and more of these techniques have

https://eudl.eu/doi/10.4108/eai.28-10-2022.2328453

Presentation

• Advances in Data Science and AI Conference 2023 (the only undergraduate)

• The 1st Manchester Interdisciplinary Mathematics Undergraduate Conference

Interests

• AI-based project(AI4S, ML trading strategies, classic AI project, Digital Twin)

• Quantitative trading/researching

• Explore the world(unlocked 🇨🇳🇬🇧🇰🇷🇭🇰🇲🇴🇲🇪🇲🇦🇪🇸🇵🇹🇮🇹🇫🇷🇩🇪🇪🇬🇮🇸🇸🇪🇳🇴🇨🇭🇳🇱🇨🇿🇦🇹🇭🇺🇷🇸🇧🇬🇹🇷🇦🇿🇰🇿)

• Music(R&B, Neo-Soul, Vaporwave, Jazz, Classical, Hip-hop)

• Instrument(Piano, Guitar)

Next steps are……

1. More AI research projects in Civil Engineering

2. Find one PhD opportunity[Achieved😊]

3. Get the Dr. title

4. Cryptocurrency

5. Blockchain

6. Photographing

7. More trading

8. More blogs