1 citations · 1 across the 4 of their papers we have counts for
4 papers
Volatility Forecasting and Return Prediction under Market Regimes: Evidence from High-Frequency Chinese Equity Data
Xinyue Fang, Robert Ślepaczuk
This study investigates whether regime-dependent volatility forecasting and machine-learning-based return prediction can be jointly integrated to improve both statistical forecasti…
GIFT: LLM-Guided State-Reward Interface for Financial Reinforcement Learning
Yanyan Wu, Boyi Zhang, Yanlin Liu +10
Financial portfolio trading is naturally formulated as a reinforcement learning problem, where an agent sequentially rebalances assets under changing market conditions to balance r…
A New Chinese Landscape Paintings Generation Model based on Stable Diffusion using DreamBooth
Yujia Gu, Xinyu Fang, Xueyuan Deng +2
This study mainly introduces a method combining the Stable Diffusion Model (SDM) and Parameter-Efficient Fine-Tuning method for generating Chinese Landscape Paintings. This trainin…
JieHua Paintings Style Feature Extracting Model using Stable Diffusion with ControlNet
Yujia Gu, Haofeng Li, Xinyu Fang +2
This study proposes a novel approach to extract stylistic features of Jiehua: the utilization of the Fine-tuned Stable Diffusion Model with ControlNet (FSDMC) to refine depiction t…