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Heng Wu

Researcher at Guangdong University of Technology

Publications -  77
Citations -  716

Heng Wu is an academic researcher from Guangdong University of Technology. The author has contributed to research in topics: Computer science & Ghost imaging. The author has an hindex of 12, co-authored 50 publications receiving 407 citations. Previous affiliations of Heng Wu include University of Tokyo & South China University of Technology.

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Sub-Nyquist computational ghost imaging with deep learning.

TL;DR: Experimental results indicate that the proposed deep learning computational ghost imaging scheme can provide high-quality images with a sub-Nyquist sampling ratio and performs better than the conventional and compressive-sensing CGI methods in sub-nyquist sampled ratio conditions.
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A generalized Prandtl-Ishlinskii model for characterizing the rate-independent and rate-dependent hysteresis of piezoelectric actuators.

TL;DR: The results of the experiments and simulations have shown that the proposed models can accurately describe both rate-independent and rate-dependent hysteresis in piezoelectric actuators.
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Deep-learning denoising computational ghost imaging

TL;DR: An end-to-end deep neural network (DDANet) for CGI image reconstruction that uses a one-dimensional bucket signals and multiple tunable noise-level maps as input, and outputs a clear image.
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Full closed-loop controls of micro/nano positioning system with nonlinear hysteresis using micro-vision system

TL;DR: In this paper, an adaptive controller using direct inverse modeling approach based on a modified Prandtl-Ishlinskii model is presented to compensate for nonlinear hysteresis in the piezoelectric actuators.
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Double freeform surfaces lens design for LED uniform illumination with high distance–height ratio

TL;DR: In this article, a double freeform surfaces (DFS) lens was designed to form uniform illumination in the high distance-height ratio (DHR) lighting system, where the ray mapping relationship was established between the solid angle of the source and the target plane according to the energy conservation law and the variable separation method.