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🔍 yanjun wu 📂 Engineering 📄 Preprint
Showing 26 results for "yanjun wu" in Engineering · Preprint
Engineering Preprint PDF DOI

Deep learning water-unsuppressed MRSI at ultra-high field for simultaneous quantitative metabolic, susceptibility and myelin water imaging

Paul J. Weiser, Jiye Kim, Jongho Lee, Amirmohammad Shamaei, Gulnur Ungan, Malte Hoffmann, Antoine Klauser, Berkin Bilgic, Ovidiu C. Andronesi · 2025

Purpose: Magnetic Resonance Spectroscopic Imaging (MRSI) maps endogenous brain metabolism while suppressing the overwhelming water signal. Water-unsuppressed MRSI (wu-MRSI) allows simultaneous imaging…

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Engineering Preprint PDF DOI

Avoidance of an unexpected obstacle without reinforcement learning: Why not using advanced control-theoretic tools?

Cedric Join, Michel Fliess · 2025

This communication on collision avoidance with unexpected obstacles is motivated by some critical appraisals on reinforcement learning (RL) which "requires ridiculously large numbers of trials to lear…

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Engineering Preprint PDF DOI

Reinforcement Learning-based Control via Y-wise Affine Neural Networks (YANNs)

Austin Braniff, Yuhe Tian · 2025

This work presents a novel reinforcement learning (RL) algorithm based on Y-wise Affine Neural Networks (YANNs). YANNs provide an interpretable neural network which can exactly represent known piecewi…

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Engineering Preprint PDF DOI

A Machine Learning Framework for Climate-Resilient Insurance and Real Estate Decisions

Lang Qin, Yuejin Xie, Daili Hua, Xuhui Meng · 2025

Extreme weather events increasingly threaten the insurance and real estate industries, creating conflicts between profitability and homeowner burdens. To address this, we propose the SSC-Insurance Mod…

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Engineering Preprint PDF DOI

A hybrid framework integrating classical computers and quantum annealers for optimisation of truss structures

Van-Dung Nguyen, Erin Kuci, Michel Rasquin, Ludovic Noels · 2025

This work proposes a hybrid framework combining classical computers with quantum annealers for structural optimisation. At each optimisation iteration of an iterative process, two minimisation problem…

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Engineering Preprint PDF DOI

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction

Yiran Sun, Osama Mawlawi · 2024

Positron emission tomography (PET) is widely utilized for cancer detection due to its ability to visualize functional and biological processes in vivo. PET images are usually reconstructed from histog…

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Engineering Preprint PDF DOI

ViewActive: Active viewpoint optimization from a single image

Jiayi Wu, Xiaomin Lin, Botao He, Cornelia Fermuller, Yiannis Aloimonos · 2024

When observing objects, humans benefit from their spatial visualization and mental rotation ability to envision potential optimal viewpoints based on the current observation. This capability is crucia…

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Engineering Preprint PDF DOI

DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays

Yiran Sun, Hana Baroudi, Tucker Netherton, Laurence Court, Osama Mawlawi, Ashok Veeraraghavan, Guha Balakrishnan · 2024

Computed Tomography (CT) scans are the standard-of-care for the visualization and diagnosis of many clinical ailments, and are needed for the treatment planning of external beam radiotherapy. Unfortun…

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Engineering Preprint PDF DOI

SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image

Yunhao Li, Xiaodong Wang, Ping Wang, Xin Yuan, Peidong Liu · 2024

In this paper, we explore the potential of Snapshot Compressive Imaging (SCI) technique for recovering the underlying 3D scene representation from a single temporal compressed image. SCI is a cost-eff…

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Engineering Preprint PDF DOI

Improving Drone Imagery For Computer Vision/Machine Learning in Wilderness Search and Rescue

Robin Murphy, Thomas Manzini · 2023

This paper describes gaps in acquisition of drone imagery that impair the use with computer vision/machine learning (CV/ML) models and makes five recommendations to maximize image suitability for CV/M…

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Engineering Preprint PDF DOI

CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller

Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots · 2023

We present CAJun, a novel hierarchical learning and control framework that enables legged robots to jump continuously with adaptive jumping distances. CAJun consists of a high-level centroidal policy …

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Engineering Preprint PDF DOI

Sub-structure characteristic mode analysis of microstrip antennas using a global multi-trace formulation

Ran Zhao, Yuyu Lu, Guang Shang Cheng, Wei Zhu, Jun Hu, Hakan Bagci · 2022

A characteristic mode (CM) method that relies on a global multi-trace formulation (MTF) of surface integral equations is proposed to compute the modes and the resonance frequencies of microstrip patch…

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Engineering Preprint PDF DOI

Localized adversarial artifacts for compressed sensing MRI

Rima Alaifari, Giovanni S. Alberti, Tandri Gauksson · 2022

As interest in deep neural networks (DNNs) for image reconstruction tasks grows, their reliability has been called into question (Antun et al., 2020; Gottschling et al., 2020). However, recent work ha…

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Engineering Preprint PDF DOI

A global sharing mechanism of resources: modeling a crucial step in the fight against pandemics

G.K. den Nijs, J. Edivaldo, B.D.L. Chatel, J.F. Uleman, M. Olde Rikkert, H. Wertheim, R. Quax · 2022

To face pandemics like the one caused by COVID-19, resources such as personal protection equipment (PPE) are needed to reduce the infection rate and protect those in close contact with patients (Heyma…

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Engineering Preprint PDF DOI

BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring

Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma · 2021

The defocus deblurring raised from the finite aperture size and exposure time is an essential problem in the computational photography. It is very challenging because the blur kernel is spatially vary…

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Engineering Preprint PDF DOI

Single-Source SIE for Two-Dimensional Arbitrarily Connected Penetrable and PEC Objects with Nonconformal Meshes

Zekun Zhu, Aipeng Sun, Xiaochao Zhou, Shunchuan Yang, Zhizhang (David) Chen · 2021

We proposed a simple and efficient modular single-source surface integral equation (SS-SIE) formulation for electromagnetic analysis of arbitrarily connected penetrable and perfectly electrical conduc…

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Engineering Preprint PDF DOI

Comparing the Notions of Opacity for Discrete-Event Systems

Jiri Balun, Tomas Masopust · 2021

Opacity is an information flow property characterizing whether a system reveals its secret to a passive observer. Several notions of opacity have been introduced in the literature. We study the notion…

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Engineering Preprint PDF DOI

RGB-D SLAM with Structural Regularities

Yanyan Li, Raza Yunus, Nikolas Brasch, Nassir Navab, Federico Tombari · 2020

This work proposes a RGB-D SLAM system specifically designed for structured environments and aimed at improved tracking and mapping accuracy by relying on geometric features that are extracted from th…

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Engineering Preprint PDF DOI

Are wave union methods still suitable for 20 nm FPGA-based high-resolution (< 2 ps) time-to-digital converters?

Wujun Xie, Haochang Chen, David Day-Uei Li · 2020

This paper presents several new structures to pursue high-resolution (< 2 ps) time-to-digital converters (TDCs) in Xilinx 20 nm UltraScale field-programmable gate arrays (FPGAs). The proposed TDCs com…

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Engineering Preprint PDF DOI

A Novel Received Signal Strength Assisted Perspective-three-Point Algorithm for Indoor Visible Light Positioning

Lin Bai, Yang Yang, Chunyan Feng, Caili Guo · 2020

In this paper, a received signal strength assisted Perspective-three-Point positioning algorithm (R-P3P) is proposed for visible light positioning (VLP) systems. The basic idea of R-P3P is to joint vi…

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