4 papers
Nonconvex Decentralized Stochastic Bilevel Optimization under Heavy-Tailed Noise
Xinwen Zhang, Yihan Zhang, Heng Liang +1
Existing decentralized stochastic optimization methods assume the lower-level loss function is strongly convex and the stochastic gradient noise has finite variance. These strong a…
EMA: Efficient Model Adaptation for Learning-based Systems
Daiyang Yu, Xinyu Chen, Yihan Zhang +3
Machine learning (ML) is increasingly applied to optimize system performance in tasks such as resource management and network simulation. Unlike traditional ML tasks (e.g., image c…
Data-driven Symbolic Closure for Turbulence Modeling in the Lattice Boltzmann Framework
Yujie Fu, Yihan Zhang, Wanru Deng +1
Turbulence modeling within the Lattice Boltzmann Method (LBM) framework has long relied on traditional algebraic sub-grid scale (SGS) models, which often suffer from over-dissipati…
Evaluating LLMs in the Context of a Functional Programming Course: A Comprehensive Study
Yihan Zhang, Brigitte Pientka, Xujie Si
Large-Language Models (LLMs) are changing the way learners acquire knowledge outside the classroom setting. Previous studies have shown that LLMs seem effective in generating to sh…