Research Focus

I created Matrix Lab, affiliated with the Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing. Our team focuses on blockchain-centric next-generation value Internet (Web 3.0), with the ultimate goal of achieving a trade network that surpasses the traditional financial model. Currently, our research focuses on three interconnected directions:

1) AI-empowered Blockchain Security: We investigate blockchain fraud patterns and develop detection mechanisms from an AI-driven perspective.

2) AI-empowered Quantitative Trading: We explore AI-agent-based investment strategies for digital assets in Automated Market Maker (AMM) environments, targeting arbitrage opportunities enabled by intelligent systems.

3) Federated Multi-modal LLMs: We study LLMs cognition and reasoning processes through distributed training frameworks, enhancing model capability and privacy.

Through these integrated research streams, we strive to push the boundaries of AI and blockchain technology, moving closer to the vision of a decentralized, intelligent value network that exceeds conventional financial systems.