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Zhe Tang

2 accepted papers

2026

Detecting Errors in AI-Generated Annotations: When and Why Semantic Neighbors Help

ICML 2026poster

Large language models (LLMs) and vision-language models (VLMs) have emerged as efficient annotators for tasks such as generation and classification. While these models offer significant cost and speed advantages over human annotation, a critical challenge remains: existing self-evaluation methods, s…

Cited by 0SourceScholar
2025

LitePest: Real-Time and Efficient Detection of Agricultural Pests Using an Advanced Lightweight Deep Learning Network

ICASSP 2025accepted

Pest detection is a challenging task due to the high visual similarity between species, their dense distribution in fields, and complex agricultural backgrounds. Existing models often have large parameter sizes, making them unsuitable for deployment on resource-constrained devices commonly used in a…

Cited by 0SourceScholar