most citedMVMD: A Multi-View Approach for Enhanced Mirror Detection

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

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…

cs.CV20261 cited

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…

cs.CV2026

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…

cs.LG2026

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…

eess.IV2025

NeuroMoE: A Transformer-Based Mixture-of-Experts Framework for Multi-Modal Neurological Disorder Classification

Wajih Hassan Raza, Aamir Bader Shah, Yu Wen +6

The integration of multi-modal Magnetic Resonance Imaging (MRI) and clinical data holds great promise for enhancing the diagnosis of neurological disorders (NDs) in real-world clin…