Hechuan Wang — accepted AI-conference papers

2021

Adaptive Importance Sampling Via Auto-Regressive Generative Models and Gaussian Processes

Hechuan Wang, Mónica F. Bugallo, Petar M. Djuric

ICASSP 2021accepted

The quality of importance distribution is vital to adaptive importance sampling, especially in high dimensional sampling spaces where the target distributions are sparse and hard to approximate. This requires that the proposal distributions are expressive and easily adaptable. Because of the need fo…

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2020

Indoor Altitude Estimation of Unmanned Aerial Vehicles Using a Bank of Kalman Filters

Liu Yang, Hechuan Wang, Yousef El-Laham, José Ignacio Lamas Fonte, David Trillo Pérez, Mónica F. Bugallo

ICASSP 2020accepted

Altitude estimation is important for successful control and navigation of unmanned aerial vehicles (UAVs). UAVs do not have indoor access to GPS signals and can only use on-board sensors for reliable estimation of altitude. Unfortunately, most existing navigation schemes are not robust to the presen…

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