52 citations · 283 across the 12 of their papers we have counts for
8 papers · 1 filter
Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
Haowei Ni, Shuchen Meng, Xupeng Chen +7
Accurate stock market predictions following earnings reports are crucial for investors. Traditional methods, particularly classical machine learning models, struggle with these pre…
Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods
Yiming Zhou, Zixuan Zeng, Andi Chen +7
Exploring the capabilities of Neural Radiance Fields (NeRF) and Gaussian-based methods in the context of 3D scene reconstruction, this study contrasts these modern approaches with…
A Review of Electromagnetic Elimination Methods for low-field portable MRI scanner
Wanyu Bian, Panfeng Li, Mengyao Zheng +5
This paper analyzes conventional and deep learning methods for eliminating electromagnetic interference (EMI) in MRI systems. We compare traditional analytical and adaptive techniq…
Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers
Haowei Ni, Shuchen Meng, Xieming Geng +5
Cardiovascular disease (CVD) is a leading cause of death globally, necessitating precise forecasting models for monitoring vital signs like heart rate, blood pressure, and ECG. Tra…
Enhance Image-to-Image Generation with LLaVA-generated Prompts
Zhicheng Ding, Panfeng Li, Qikai Yang +1
This paper presents a novel approach to enhance image-to-image generation by leveraging the multimodal capabilities of the Large Language and Vision Assistant (LLaVA). We propose a…
Regional Style and Color Transfer
Zhicheng Ding, Panfeng Li, Qikai Yang +2
This paper presents a novel contribution to the field of regional style transfer. Existing methods often suffer from the drawback of applying style homogeneously across the entire…
A Comparative Study on Enhancing Prediction in Social Network Advertisement through Data Augmentation
Qikai Yang, Panfeng Li, Xinhe Xu +3
In the ever-evolving landscape of social network advertising, the volume and accuracy of data play a critical role in the performance of predictive models. However, the development…
Exploring Diverse Methods in Visual Question Answering
Panfeng Li, Qikai Yang, Xieming Geng +3
This study explores innovative methods for improving Visual Question Answering (VQA) using Generative Adversarial Networks (GANs), autoencoders, and attention mechanisms. Leveragin…