1 citations · 1 across the 3 of their papers we have counts for
4 papers
Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems
You Wu, Mengfang Sun, Hongye Zheng +3
This document presents an in-depth examination of stock market sentiment through the integration of Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU), enabling pr…
Stock Type Prediction Model Based on Hierarchical Graph Neural Network
Jianhua Yao, Yuxin Dong, Jiajing Wang +3
This paper introduces a novel approach to stock data analysis by employing a Hierarchical Graph Neural Network (HGNN) model that captures multi-level information and relational str…
Reducing Bias in Deep Learning Optimization: The RSGDM Approach
Honglin Qin, Hongye Zheng, Bingxing Wang +3
Currently, widely used first-order deep learning optimizers include non-adaptive learning rate optimizers and adaptive learning rate optimizers. The former is represented by SGDM (…
Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function
Hongye Zheng, Bingxing Wang, Minheng Xiao +3
Adaptive optimizers are pivotal in guiding the weight updates of deep neural networks, yet they often face challenges such as poor generalization and oscillation issues. To counter…