Qi Meng

Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction

2017 · Proceedings of the AAAI Conference on Artificial Intelligence

Regularized empirical risk minimization (R-ERM) is an important branch of machine learning, since it constrains the capacity of the hypothesis space and guarantees the generalization ability of the learning algorithm. Two classic proximal optimization algorithms, …

Research of Knowledge-Enhanced Large Language Model Based on Knowledge Graph

2024

The rapid development and wide application of Knowledge Graph(KG) and Large Language Model(LLM) have demonstrated strong basic capabilities of artificial intelligence. In the last two years, related research has explored the combination of KG and …