Jiacheng Gu — accepted AI-conference papers

2025

Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment

Shaode Yu, Ze Chen, Zhimu Yang, Jiacheng Gu, Bizu Feng, Qiurui Sun

ICASSP 2025accepted

Score prediction is crucial in evaluating realistic image sharpness based on collected informative features. Recently, Kolmogorov-Arnold networks (KANs) have been developed and witnessed remarkable success in data fitting. This study introduces the Taylor series-based KAN (TaylorKAN). Then, differen…

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2018

Monophone-Based Background Modeling for Two-Stage On-Device Wake Word Detection

Minhua Wu, Sankaran Panchapagesan, Ming Sun, Jiacheng Gu, Ryan Thomas, Shiv Naga Prasad Vitaladevuni +2

ICASSP 2018accepted

Accurate on-device wake word detection is crucial to products with far-field voice control such as the Amazon Echo. It is quite challenging to build a wake word system with both low False Reject Rate (FRR) and low False Alarm Rate (FAR) in real scenarios where there are various types of background s…

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