3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations
Hui Chen, Hengyu Liu, Longbing Cao +1
Bayesian personalized federated learning (BPFL) addresses challenges in existing personalized FL (PFL). BPFL aims to quantify the uncertainty and heterogeneity within and across cl…
cs.LG2023★ 3 cited
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability
Hengyu Liu, Tiancheng Zhang, Fan Li +2
Knowledge tracing aims to track students' knowledge status over time to predict students' future performance accurately. Markov chain-based knowledge tracking (MCKT) models can tra…
cs.LG2022
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima
Hengyu Liu, Qiang Fu, Lun Du +4
Learning rate is one of the most important hyper-parameters that has a significant influence on neural network training. Learning rate schedules are widely used in real practice to…