no code implementations • 2 May 2024 • Yin Huang, Yongqi Dong, Youhua Tang, Li Li
The escalation in urban private car ownership has worsened the urban parking predicament, necessitating effective parking availability prediction for urban planning and management.
no code implementations • 11 May 2023 • Yuwei Ren, Matt Zivney, Yin Huang, Eddie Choy, Chirag Patel, Hao Xu
Speaker protection algorithm is to leverage the playback signal properties to prevent over excursion while maintaining maximum loudness, especially for the mobile phone with tiny loudspeakers.
no code implementations • 30 Mar 2023 • Mia Garrard, Hanson Wang, Ben Letham, Shaun Singh, Abbas Kazerouni, Sarah Tan, Zehui Wang, Yin Huang, Yichun Hu, Chad Zhou, Norm Zhou, Eytan Bakshy
Many organizations measure treatment effects via an experimentation platform to evaluate the casual effect of product variations prior to full-scale deployment.
no code implementations • 27 Feb 2023 • Igor L. Markov, Pavlos A. Apostolopoulos, Mia R. Garrard, Tanya Qie, Yin Huang, Tanvi Gupta, Anika Li, Cesar Cardoso, George Han, Ryan Maghsoudian, Norm Zhou
ML platforms help enable intelligent data-driven applications and maintain them with limited engineering effort.
no code implementations • 10 Feb 2023 • Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort
We experimentally validate our proposed method on several computer vision tasks, natural language processing tasks and many different networks, and show that we can find mixed precision networks that provide a better trade-off between accuracy and efficiency than their homogeneous bit-width equivalents.
no code implementations • 14 Nov 2022 • Yuwei Ren, Jiuyuan Lu, Andrian Beletchi, Yin Huang, Ilia Karmanov, Daniel Fontijne, Chirag Patel, Hao Xu
Range-Doppler information (RDI) is obtained by using pulse Doppler radar for gesture recognition.
no code implementations • 14 Oct 2021 • Igor L. Markov, Hanson Wang, Nitya Kasturi, Shaun Singh, Sze Wai Yuen, Mia Garrard, Sarah Tran, Yin Huang, Zehui Wang, Igor Glotov, Tanvi Gupta, Boshuang Huang, Peng Chen, Xiaowen Xie, Michael Belkin, Sal Uryasev, Sam Howie, Eytan Bakshy, Norm Zhou
Modern software systems and products increasingly rely on machine learning models to make data-driven decisions based on interactions with users, infrastructure and other systems.