From the 1 of 11 linked papers with an AI index.
2 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
A Cloud-Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings
Hei Ting, Chan, Chenwei Wu +8
Medical AI has demonstrated specialist-level diagnostic accuracy, yet these capabilities remain largely inaccessible in resource-constrained rural settings where bandwidth is scarc…
TIER-MoE: Trust-Informed Expert Routing via Conditional Modality Risk for Multimodal Fusion in Biomedical Classification
Yu Chang, Anzhe Cheng, Chenwei Wu +7
The paper proposes TIER-MoE, a risk‑guided mixture‑of‑experts framework that routes multimodal biomedical data to specialized experts based on estimated modality reliability, impro…
Beyond Time Series: Spatial Reasoning for Epidemic Forecasting via Multimodal Learning
Diana Guadalupe Gomez, Chenwei Wu, Zhiyi Wang +2
Epidemic forecasting models typically rely on surveillance data reported over administrative regions, treating them as atomic units, thereby obscuring sub-regional spatial structur…
REMIND: Rethinking Medical High-Modality Learning under Missingness--A Long-Tailed Distribution Perspective
Chenwei Wu, Zitao Shuai, Liyue Shen
Medical multi-modal learning is critical for integrating information from a large set of diverse modalities. However, when leveraging a high number of modalities in real clinical a…
Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity
Zitao Shuai, Chenwei Wu, Zhengxu Tang +1
Vision-language pre-training (VLP) has emerged as an effective scheme for multimodal representation learning, but its reliance on large-scale multimodal data poses significant chal…