Xiangyang Li

Xiangyang Li is a Professor at the University of Science and Technology of China, School of Computer Science and Technology. His work spans interdisciplinary domains including computer science, machine learning, and geoscience.

• Research Focus: Machine Learning, Recommender Systems, Blockchain, and Computer Vision.
• Key Contributions: Development of novel algorithms for UWB positioning, code information retrieval benchmarks, and vision-language models.

Recent publications highlight trends in large language model (LLM) integration for recommendation systems, quantum-inspired optimization, and cross-chain consensus models. His 2025 work includes collaborations on semantic-driven inference, prompt tuning, and hybrid BFT consensus for blockchain scalability.