Weizhi Wang

Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement

2021 · arXiv (Cornell University)

End-to-end speech-to-text translation (E2E-ST) is becoming increasingly popular due to the potential of its less error propagation, lower latency, and fewer parameters. Given the triplet training corpus $\langle speech, transcription, translation\rangle$, the conventional high-quality E2E-ST …

ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models

2025 · arXiv (Cornell University)

Anomaly detection (AD) is a fundamental task of critical importance across numerous domains. Current systems increasingly operate in rapidly evolving environments that generate diverse yet interconnected data modalities -- such as time series, system logs, …