Výsledky vyhledávání - "DING Hongcheng"

Report

EUR/USD Exchange Rate Forecasting incorporating Text Mining Based on Pre-trained Language Models and Deep Learning Methods

Autor: Shi, Xiangyu, Ding, Hongcheng, Faroog, Salaar, Dewi, Deshinta Arrova, Abdullah, Shamsul Nahar, Malek, Bahiah A

This study introduces a novel approach for EUR/USD exchange rate forecasting that integrates deep learning, textual analysis, and particle swarm optimization (PSO). By incorporating online news and analysis texts as qualitative data, the proposed PSO

Externí odkaz: http://arxiv.org/abs/2411.07560

Zobrazit plný text záznamu

Report

Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models

Autor: Ding, Hongcheng, Hu, Fuzhen, Zhao, Xuanze, Jiang, Zixiao, Abdullah, Shamsul Nahar, Dewi, Deshinta Arrova

Sentiment analysis has become increasingly important for assessing public opinion and informing decision-making. Large language models (LLMs) have revolutionized this field by capturing nuanced language patterns. However, adapting LLMs to domain-spec

Externí odkaz: http://arxiv.org/abs/2410.16589

Zobrazit plný text záznamu

Report

EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods

Autor: Ding, Hongcheng, Zhao, Xuanze, Jiang, Zixiao, Abdullah, Shamsul Nahar, Dewi, Deshinta Arrova

Accurate forecasting of the EUR/USD exchange rate is crucial for investors, businesses, and policymakers. This paper proposes a novel framework, IUS, that integrates unstructured textual data from news and analysis with structured data on exchange ra

Externí odkaz: http://arxiv.org/abs/2408.13214

Zobrazit plný text záznamu

Report

Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models

Autor: Ding, Hongcheng, Zhao, Xuanze, Abdullah, Shamsul Nahar, Dewi, Deshinta Arrova, Jiang, Zixiao, Shi, Xiangyu

Sentiment analysis plays a crucial role in various domains, such as business intelligence and financial forecasting. Large language models (LLMs) have become a popular paradigm for sentiment analysis, leveraging multi-task learning to address specifi

Externí odkaz: http://arxiv.org/abs/2408.11856

Zobrazit plný text záznamu

Akademický článek

Analysis of Backup Protection Action of a Transformer Caused by Improper Implementation of Voltage Regulation Measures

Autor: Chen Yu, Ding Hongcheng, Zhang Junwei, Ding Ganghui, Cui Jun, Hu Shengzhi

Publikováno v: E3S Web of Conferences, Vol 252, p 02013 (2021)

It is an effective measure for power enterprises to improve the voltage level of the system by raising and lowering the tap position of the main transformer. For the parallel operation of the main transformer, the whole process of adjusting the tap m

Externí odkaz: https://doaj.org/article/0dab29ae0f1e4b248cc57da445c48b5a