About me
Hi, this is my homepage. I am a senior student in the School of Data Science (SDS) at The Chinese University of Hong Kong, Shenzhen (CUHKSZ), majoring in Data Science and Big Data Technology. During my undergraduate studies, I am fortunately advised by Prof. Guanting Chen, Prof. Xiaocheng Li, and Prof. Jianfeng Mao.
Previously, my research was focused on:
- (1) Data-Driven Optimization
- (2) Large Language Model
- (3) Deep Learning
Additionally, I am exploring the integration of LLMs with decision-making to address a broader range of real-world challenges: (1) how to utilize LLMs’ ability to make decision in queueing or scheduling. (2) how to combine data-driven optimization problems with LLMs. Feel free to connect with him on LinkedIn and check out my projects on GitHub.
Research Experience
- Resource Prediction and Allocation for Machine Learning Tasks
- May 2024 - Present, University of North Carolina at Chapel Hill & Imperial College London
- Predicted runtime and energy consumption of ML tasks on GPUs using LLMs.
- Research on Airport Congestion Contagion
- Dec 2023 - Present, The Chinese University of Hong Kong, Shenzhen
- Improved SIS models to predict and manage airport congestion using adaptive graph learning and ODE function.
- Optimization of Guangzhou Bus Rapid Transit (BRT) Public Road Usage
- Jan 2024 - Present, University of North Carolina at Chapel Hill
- Combined stochastic optimization model and machine learning to enhance public road usage.
- Study on Flight Delay Propagation Modeling
- Oct 2023 - Mar 2024, The Chinese University of Hong Kong, Shenzhen
- Authored a review on airport delay propagation methods, accepted by Transportation Research Part E.
- Lithology Based Rock Prediction
- Mar 2023 - Jun 2023, The Chinese University of Hong Kong, Shenzhen
- Predicted rock properties using SVM and HMM models based on depth curves.
Work Experience
- Quantitative Trading Intern
- Jun 2023 - Aug 2023, Maxtor Big Data, Hangzhou, China
- Developed and tested options trading and arbitrage strategies; implemented backtesting tools.
- COSCO Shipping Analysis
- Sept 2022 - Feb 2023, The Chinese University of Hong Kong, Shenzhen
- Enhanced maritime intelligent systems through clustering, route prediction, and congestion analysis.