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Yanshuo Chen

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Preprint Oct 2026

Grounding Multimodal Reasoning with Evidence-Ablated Negatives

Reinforcement learning with verifiable rewards (RLVR) has become a powerful tool for improving multimodal reasoning. However, standard outcome supervision suffers from credit assignment ambiguity, as a model may receive positive rewards by exploiting language priors or dataset shortcuts rather than grounding its reason...

Chen-Xi Liu, Tianyi Xiong, Yan-Shuo Chen et al. · 0 citations
#machine learning Preprint Oct 2026

CloneOT: predicting clone-specific perturbation responses with lineage-supervised neural inverse optimal transport

CloneOT is a neural inverse OT method that learns both the transport cost and the transport map from partially lineage-traced single-cell datasets, and reveals the clone-specific transcriptional programs of drug-tolerant persister cells and forecasts the fate of each clone from its cells before treatment.

Yan-Shuo Chen, Wei Chen, Heng Huang · 0 citations
Open access Aug 2026

MOFUN-CCC: A Multi-omics Intermediate Fusion Network for Digital White Blood Cell Count Prediction.

A novel multi-modal deep learning model with intermediate fusion: multi-omics fusion neural network- computational cell counting (MOFUN-CCC) designed to predict absolute cell counts directly by integrating gene expression and DNA methylation data within a supervised framework, assuming that the underlying true cell com...

Mo-Lin Yue, Manqi Cai, Chong-Yue Zhao et al. · 0 citations

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