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of 172
pro vyhledávání: '"Zhang, Haochuan"'
Approximate Message Passing (AMP), originally developed to address high-dimensional linear inverse problems, has found widespread applications in signal processing and statistical inference. Among its notable variants, Vector Approximate Message Pass
Externí odkaz:
http://arxiv.org/abs/2410.20902
Autor:
Zhang, Zhaotian, Li, Fei, Zhang, Haochuan, Miao, Zhipeng, Wei, Yantao, Wang, Li, Zhang, Shaochong
Publikováno v:
JMIR mHealth and uHealth, Vol 7, Iss 6, p e14592 (2019)
BackgroundPars plana vitrectomy (PPV) with intravitreous tamponade of gas or air has been widely used for a series of vitreoretinal diseases. It is estimated that 100,000 patients per year undergo PPV globally, and half of them were subsequently tamp
Externí odkaz:
https://doaj.org/article/f478506c17f7438aab37f9016dda9dcf
Approximate Message Passing (AMP), originally designed to solve high-dimensional linear inverse problems, has found broad applications in signal processing and statistical inference. Among its key variants, Vector Approximate Message Passing (VAMP) a
Externí odkaz:
http://arxiv.org/abs/2311.05111
This paper explicitly models a coarse and noisy quantization in a communication system empowered by orthogonal time frequency space (OTFS) for cost and power efficiency. We first point out, with coarse quantization, the effective channel is imbalance
Externí odkaz:
http://arxiv.org/abs/2309.11759
Autor:
Zhang, Haochuan
Thesis advisor: Dunwei Wang
Thesis advisor: Matthias Waegele
Lithium metal anode (LMA) holds great promise as alternative anode material for next-generation high energy density batteries. Efficiency and safety are two most critical concerns
Thesis advisor: Matthias Waegele
Lithium metal anode (LMA) holds great promise as alternative anode material for next-generation high energy density batteries. Efficiency and safety are two most critical concerns
Externí odkaz:
http://hdl.handle.net/2345/bc-ir:109464
ARSA-UNet: Atrous residual network based on Structure-Adaptive model for retinal vessel segmentation
Publikováno v:
In Biomedical Signal Processing and Control October 2024 96 Part B
The reconstruction of sparse signal is an active area of research. Different from a typical i.i.d. assumption, this paper considers a non-independent prior of group structure. For this more practical setup, we propose EM-aided HyGEC, a new algorithm
Externí odkaz:
http://arxiv.org/abs/2103.01833
This is Part II of a two-part work on the estimation for a multi-layer generalized linear model (ML-GLM) in large system limits. In Part I, we had analyzed the asymptotic performance of an exact MMSE estimator, and obtained a set of coupled equations
Externí odkaz:
http://arxiv.org/abs/2007.09827
This two-part work considers the minimum means square error (MMSE) estimation problem for a high dimensional multi-layer generalized linear model (ML-GLM), which resembles a feed-forward fully connected deep learning network in that each of its layer
Externí odkaz:
http://arxiv.org/abs/2007.09826
In this paper, we extend the bilinear generalized approximate message passing (BiG-AMP) approach, originally proposed for high-dimensional generalized bilinear regression, to the multi-layer case for the handling of cascaded problem such as matrix-fa
Externí odkaz:
http://arxiv.org/abs/2007.00436