3 papers
cs.LG2026
Uncertainty-Gated Generative Modeling
Xingrui Gu, Haixi Zhang
Financial time-series forecasting is a high-stakes problem where regime shifts and shocks make point-accurate yet overconfident models dangerous. We propose Uncertainty-Gated Gener…
cs.AI2024
Conceptual Belief-Informed Reinforcement Learning
Xingrui Gu, Chuyi Jiang, Laixi Shi
Reinforcement learning (RL) has achieved significant success but is hindered by inefficiency and instability, relying on large amounts of trial-and-error data and failing to effici…
cs.LG2024
CauSkelNet: Causal Representation Learning for Human Behaviour Analysis
Xingrui Gu, Chuyi Jiang, Erte Wang +5
Traditional machine learning methods for movement recognition often struggle with limited model interpretability and a lack of insight into human movement dynamics. This study intr…