1 citations · 2 across the 4 of their papers we have counts for
4 papers
A Review of Reinforcement Learning in Financial Applications
Yahui Bai, Yuhe Gao, Runzhe Wan +2
In recent years, there has been a growing trend of applying Reinforcement Learning (RL) in financial applications. This approach has shown great potential to solve decision-making…
LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model
Haitao Jiang, Lin Ge, Yuhe Gao +2
Large Language Models (LLMs) have shown their success in language understanding and reasoning on general topics. However, their capability to perform inference based on user-specif…
Deep Spectral Q-learning with Application to Mobile Health
Yuhe Gao, Chengchun Shi, Rui Song
Dynamic treatment regimes assign personalized treatments to patients sequentially over time based on their baseline information and time-varying covariates. In mobile health applic…
Sparse Winograd Convolutional neural networks on small-scale systolic arrays
Feng Shi, Haochen Li, Yuhe Gao +2
The reconfigurability, energy-efficiency, and massive parallelism on FPGAs make them one of the best choices for implementing efficient deep learning accelerators. However, state-o…