2 citations · 3 across the 7 of their papers we have counts for
8 papers
Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories
Ran Tong, Tong Wang, Lanruo Wang +1
Medium-horizon Alzheimer's disease progression prediction is difficult because future clinical scores can remain tied to baseline severity, while biomarker histories are irregular…
Does Bigger Mean Better? Comparitive Analysis of CNNs and Biomedical Vision Language Modles in Medical Diagnosis
Ran Tong, Jiaqi Liu, Tong Wang +4
The accurate interpretation of chest radiographs using automated methods is a critical task in medical imaging. This paper presents a comparative analysis between a supervised ligh…
Lightweight Baselines for Medical Abstract Classification: DistilBERT with Cross-Entropy as a Strong Default
Jiaqi Liu, Tong Wang, Su Liu +4
The research evaluates lightweight medical abstract classification methods to establish their maximum performance capabilities under financial budget restrictions. On the public me…
Renaissance of RNNs in Streaming Clinical Time Series: Compact Recurrence Remains Competitive with Transformers
Ran Tong, Jiaqi Liu, Su Liu +2
We present a compact, strictly causal benchmark for streaming clinical time series on the MIT--BIH Arrhythmia Database using per-second heart rate. Two tasks are studied under reco…
Toward Causal-Visual Programming: Enhancing Agentic Reasoning in Low-Code Environments
Jiexi Xu, Jiaqi Liu, Lanruo Wang +1
Large language model (LLM) agents are increasingly capable of orchestrating complex tasks in low-code environments. However, these agents often exhibit hallucinations and logical i…
Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models
Ran Tong, Lanruo Wang, Tong Wang +1
Longitudinal voice biomarkers provide a non-invasive source of information for monitoring Parkinson's disease progression, but their statistical analysis is difficult because repea…
Rainbow Noise: Stress-Testing Multimodal Harmful-Meme Detectors on LGBTQ Content
Ran Tong, Songtao Wei, Jiaqi Liu +1
Hateful memes aimed at LGBTQ\,+ communities often evade detection by tweaking either the caption, the image, or both. We build the first robustness benchmark for this setting, pair…
MemeBLIP2: A novel lightweight multimodal system to detect harmful memes
Jiaqi Liu, Ran Tong, Aowei Shen +3
Memes often merge visuals with brief text to share humor or opinions, yet some memes contain harmful messages such as hate speech. In this paper, we introduces MemeBLIP2, a light w…