most citedAutomated Glaucoma Report Generation via Dual-Attention Semantic Parallel-LSTM and Multimodal Clinical Data Integration

1 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CE2025★ 1 cited

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…

cs.CV2025

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…

cs.CE2025

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…

cs.LG2025

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…

cs.LG2025

GlaBoost: A Multimodal Structured Framework for Glaucoma Risk Stratification

Cheng Huang, Zeyu Han, Weizheng Xie +4

Early and accurate glaucoma detection is critical to prevent irreversible vision loss, yet existing AI methods often rely on unimodal inputs and lack interpretability. We present G…

cs.CE2025

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…

eess.IV2025

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…

eess.IV2024★ 1 cited

GlaLSTM: A Concurrent LSTM Stream Framework for Glaucoma Detection via Biomarker Mining

Cheng Huang, Weizheng Xie, Tsengdar Lee +3

Glaucoma is a complex group of eye diseases marked by optic nerve damage, commonly linked to elevated intraocular pressure and biomarkers like retinal nerve fiber layer thickness.…