1 citations · 1 across the 3 of their papers we have counts for
6 papers
Automated Glaucoma Report Generation via Dual-Attention Semantic Parallel-LSTM and Multimodal Clinical Data Integration
Cheng Huang, Weizheng Xie, Zeyu Han +5
Generative AI for automated glaucoma diagnostic report generation faces two predominant challenges: content redundancy in narrative outputs and inadequate highlighting of pathologi…
BioVessel-Net and RetinaMix: Unsupervised Retinal Vessel Segmentation from OCTA Images
Cheng Huang, Weizheng Xie, Fan Gao +8
Structural changes in retinal blood vessels are critical biomarkers for the onset and progression of glaucoma and other ocular diseases. However, current vessel segmentation approa…
SPH-Net: A Co-Attention Hybrid Model for Accurate Stock Price Prediction
Yiyang Wu, Hanyu Ma, Muxin Ge +5
Prediction of stock price movements presents a formidable challenge in financial analytics due to the inherent volatility, non-stationarity, and nonlinear characteristics of market…
AttnBoost: Retail Supply Chain Sales Insights via Gradient Boosting Perspective
Yadi Liu, Xiaoli Ma, Muxin Ge +6
Forecasting product demand in retail supply chains presents a complex challenge due to noisy, heterogeneous features and rapidly shifting consumer behavior. While traditional gradi…
Modeling Insider Filing Delays in Financial Markets with an Interpretable XGBoost Framework
Cheng Huang, Yao Ma, Fan Gao +10
Timely disclosure of insider transactions is a cornerstone of market transparency, yet delays in filing remain widespread and challenging to monitor at scale. This study introduces…
X-GAN: A Generative AI-Powered Unsupervised Model for Main Vessel Segmentation of Glaucoma Screening
Cheng Huang, Weizheng Xie, Tsengdar J. Lee +4
Structural changes in main retinal blood vessels serve as critical biomarkers for the onset and progression of glaucoma. Identifying these vessels is vital for vascular modeling ye…