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🔍 dinghao wu 📂 Engineering 📄 Preprint
Showing 33 results for "dinghao 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

VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning

Binghao Huang, Jie Xu, Iretiayo Akinola, Wei Yang, Balakumar Sundaralingam, Rowland O'Flaherty, Dieter Fox, Xiaolong Wang, Arsalan Mousavian, Yu-Wei Chao, Yunzhu Li · 2025

Humans excel at bimanual assembly tasks by adapting to rich tactile feedback -- a capability that remains difficult to replicate in robots through behavioral cloning alone, due to the suboptimality an…

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Engineering Preprint PDF DOI

L2Calib: $SE(3)$-Manifold Reinforcement Learning for Robust Extrinsic Calibration with Degenerate Motion Resilience

Baorun Li, Chengrui Zhu, Siyi Du, Bingran Chen, Jie Ren, Wenfei Wang, Yong Liu, Jiajun Lv · 2025

Extrinsic calibration is essential for multi-sensor fusion, existing methods rely on structured targets or fully-excited data, limiting real-world applicability. Online calibration further suffers fro…

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Engineering Preprint PDF DOI

Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper

Xinyue Zhu, Binghao Huang, Yunzhu Li · 2025

Handheld grippers are increasingly used to collect human demonstrations due to their ease of deployment and versatility. However, most existing designs lack tactile sensing, despite the critical role …

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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

3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing

Binghao Huang, Yixuan Wang, Xinyi Yang, Yiyue Luo, Yunzhu Li · 2024

Tactile and visual perception are both crucial for humans to perform fine-grained interactions with their environment. Developing similar multi-modal sensing capabilities for robots can significantly …

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Engineering Preprint PDF DOI

A Geometric Model with Stochastic Error for Abnormal Motion Detection of Portal Crane Bucket Grab

Baichen Yu, Xiao Wang, Hansheng Wang · 2024

Abnormal swing angle detection of bucket grabs is crucial for efficient harbor operations. In this study, we develop a practically convenient swing angle detection method for crane operation, requirin…

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Engineering Preprint PDF DOI

A Planar-Symmetric SO(3) Representation for Learning Grasp Detection

Tianyi Ko, Takuya Ikeda, Hiroya Sato, Koichi Nishiwaki · 2024

Planar-symmetric hands, such as parallel grippers, are widely adopted in both research and industrial fields. Their symmetry, however, introduces ambiguity and discontinuity in the SO(3) representatio…

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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

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

Dynamic Handover: Throw and Catch with Bimanual Hands

Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang · 2023

Humans throw and catch objects all the time. However, such a seemingly common skill introduces a lot of challenges for robots to achieve: The robots need to operate such dynamic actions at high-speed,…

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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

Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography

Johannes Grun, Jonah Sieg, Thomas Schultz · 2023

Low-rank higher-order tensor approximation has been used successfully to extract discrete directions for tractography from continuous fiber orientation density functions (fODFs). However, while it acc…

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Engineering Preprint PDF DOI

Online Estimation of Self-Body Deflection With Various Sensor Data Based on Directional Statistics

Hiroya Sato, Kento Kawaharazuka, Tasuku Makabe, Kei Okada, Masayuki Inaba · 2023

In this paper, we propose a method for online estimation of the robot's posture. Our method uses von Mises and Bingham distributions as probability distributions of joint angles and 3D orientation, wh…

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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

Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning

Stephen James, Pieter Abbeel · 2022

We propose a new policy parameterization for representing 3D rotations during reinforcement learning. Today in the continuous control reinforcement learning literature, many stochastic policy paramete…

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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

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

The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Meiyu Huang, Yao Xu, Lixin Qian, Weili Shi, Yaqin Zhang, Wei Bao, Nan Wang, Xuejiao Liu, Xueshuang Xiang · 2021

Deep learning techniques have made an increasing impact on the field of remote sensing. However, deep neural networks based fusion of multimodal data from different remote sensors with heterogenous ch…

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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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