3 citations · 6 across the 11 of their papers we have counts for
6 papers · 1 filter
Learning from Unverified Peers via Shared Residual Distillation
Feiyang Chen, Runze Ma, Zichen Wang +4
A language model can generate several solutions to the same problem, some leading to correct answers and others to incorrect ones. Many post-training methods turn these trajectorie…
TRACE: Tractable Routing Autoencoder for Clinical ECG
Shunbo Jia, Runze Ma, Haonan Lyu +3
Deep learning has advanced automated electrocardiogram (ECG) diagnosis, but the field's most accurate models, foundation models pretrained on millions of recordings, are not decisi…
Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design
Xiaoliang Shi, Zichen Wang, Runze Ma +2
Antibodies are essential proteins that play a central role in immune recognition by binding specific antigen molecules. Although recent protein language models have enabled progres…
REALM: Retrospective Encoder Alignment for LFP Modeling
Peicheng Wu, Zhenyu Bu, Runze Ma +1
Spike activity has been the dominant neural signal for behavior decoding because its high spatiotemporal resolution supports accurate decoding. However, as intracortical brain-comp…
LiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering
Runze Ma, Shunbo Jia, Haonan Lyu +2
The reasoning gap between large and compact vision-language models (VLMs) limits the deployment of medical AI on portable clinical devices. Compact VLMs of 2-4B parameters can run…
BEAT-Net: Injecting Biomimetic Spatio-Temporal Priors for Interpretable ECG Diagnosis
Runze Ma, Haonan Lyu, Caizhi Liao +5
Automated electrocardiogram diagnosis using deep learning remains limited by signal-agnostic representations that treat multi-lead recordings as undifferentiated time-series or ima…