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Zhengmao Ye

2 accepted papers

2025

Diffusion Counterfactual-Based Anomaly Detection in Class-Imbalanced Data

ICASSP 2025accepted

Anomaly detection suffers from data imbalance, as anomalies are typically rare. Due to the smaller number of anomaly samples, models may overfit the features of the normal samples, resulting in poor performance when detecting anomalies. Historically, this issue has typically been addressed by unders…

Cited by 0SourceScholar
2025

Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation

EMNLP 2025

Natural language transformation (NLT) tasks, such as machine translation (MT) and text style transfer (TST), require models to generate accurate and contextually appropriate outputs. However, existing approaches face significant challenges, including the computational costs of leveraging large pre-t