1 citations · 1 across the 6 of their papers we have counts for
7 papers
Lightweight Chunk Selection for Mobile Retrieval-Augmented Generation
Sicong Chang, Yidan Shen, Wen Yu +3
RAG improves the factual grounding of LLM by incorporating external knowledge, but deploying RAG on mobile and edge devices remains challenging because retrieved context increases…
MVMD: A Multi-View Approach for Enhanced Mirror Detection
Yidan Shen, Yu Wen, Chen Zhang +2
In 3D reconstruction, mirrors introduce significant challenges by creating distorted and fragmented spaces, resulting in inaccurate and unreliable 3D models. As 3D reconstruction t…
DMT: Demographic Conditioning, Morphology-Enhanced Transformer for Cuffless Blood Pressure Estimation from PPG Signals
Yidan Shen, Neville Mathew, Maham Rahimi +4
Blood pressure (BP) is a key marker for cardiovascular risk assessment and therapeutic decision-making, and Photoplethysmography (PPG) enables low-cost, wearable-friendly cuffless…
Nationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models
Sicong Chang, Yidan Shen, Justina Varghese +7
Chronic rhinosinusitis (CRS) is a common heterogeneous inflammatory disorder that causes substantial morbidity and healthcare costs. CRS is difficult to identify early from routine…
Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks
Pei-Yu Lin, Yidan Shen, Neville Mathew +6
Melanoma is the most lethal form of skin cancer, and early detection is critical for improving patient outcomes. Although dermoscopy combined with deep learning has advanced automa…
Benchmarking and Enhancing PPG-Based Cuffless Blood Pressure Estimation Methods
Neville Mathew, Yidan Shen, Renjie Hu +2
Cuffless blood pressure screening based on easily acquired photoplethysmography (PPG) signals offers a practical pathway toward scalable cardiovascular health assessment. Despite r…