About Me

I am a Ph.D. student at Zhejiang University, working on artificial intelligence, computational social science, and quantitative finance. I received my B.Eng. degree in Automation from Harbin Institute of Technology in 2023.

My research interests lie in financial time-series modeling, deep learning, reinforcement learning, multi-agent systems, and interpretable financial AI. I am especially interested in how computational and AI methods can be used to model complex financial markets, design adaptive trading systems, and support decision-making under uncertainty.

My recent work includes multi-scale residual LSTM models for exchange-rate forecasting, multi-agent quantitative trading systems, and prediction-market arbitrage models based on Polymarket. I also work on related topics such as factor modeling, CTA and futures strategies, agent-based simulation, and LLM-based financial agents.

You can contact me at zjulihongyang@gmail.com or hongyangli@zju.edu.cn. My CV is available here: Chinese / English.