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Yan Liu

5 papers indexed

openalexFrontiers in Physiology2026-07-24

Association between KCNC1 gene polymorphisms and interindividual variability in aerobic capacity following high-intensity interval training

Yan Liu, Yi-Xiang Wang, Junren Lai, Liu W, Duoqi Zhou

Objective To explore the association between single nucleotide polymorphisms (SNPs) of the potassium voltage-gated channel subfamily C member 1 ( KCNC1 ) gene and the improvement of aerobic capacity after high-intensity interval training (HIIT), and to screen potential genetic ma…

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arxivcs.LGcs.AI2026-07-20

Trustworthy Protein-Ligand Binding Affinity Prediction via Reliability-Aware Multi-Engine Fusion

Yongchan Hong, Defu Cao, Wenjin Liu, Thomas Ku, Jordy Homing Lam, Emily Nguyen, et al.

Accurate protein-ligand binding affinity prediction is central to computational drug discovery, yet modern docking engines frequently disagree without indicating which prediction to trust. Consensus scoring and ensemble methods improve mean accuracy but treat all predictions iden…

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arxivcs.CVcs.AI2026-07-05

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding

Yinsheng Yao, Yan Liu, Chen Ye

Automated fine-grained perception of calligraphy styles--a task vital to cultural heritage preservation--remains a critical challenge for Large Vision-Language Models (LVLMs), largely constrained by existing datasets that suffer from modal mixture and flattened labels. To bridge…

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arxivcs.AI2026-06-28

Cognitive World Models for Process-Level Social Influence Evaluation

Minghui Ma, Bin Guo, Han Wang, Mengqi Chen, Jingqi Liu, Yan Liu, et al.

Social influence dialogue changes user behavior by altering internal cognitive states. The central evaluation question is whether the user's beliefs, desires, intentions, and emotions measurably change over the course of conversation, a process-oriented criterion that neither sur…

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crossrefMachine Learning and Knowledge Extraction2024-05-16Cited by 10

Assessment of Software Vulnerability Contributing Factors by Model-Agnostic Explainable AI

Ding Li, Yan Liu, Jun Huang

Software vulnerability detection aims to proactively reduce the risk to software security and reliability. Despite advancements in deep-learning-based detection, a semantic gap still remains between learned features and human-understandable vulnerability semantics. In this paper,…

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