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๐Ÿ” xiang zhou ๐Ÿ“‚ Engineering
Showing 34 results for "xiang zhou" in Engineering
Engineering Preprint PDF DOI

CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework

Shida Jiang, Shengyu Tao, Zihe Liu, Scott Moura ยท 2026

The ensemble Kalman filter (EnKF) is widely used for nonlinear and high-dimensional state estimation because it replaces complex covariance propagation with simple ensemble statistics. However, convenโ€ฆ

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Engineering Preprint PDF DOI

Design Guidelines for Nonlinear Kalman Filters via Covariance Compensation

Shida Jiang, Jaewoong Lee, Shengyu Tao, Scott Moura ยท 2026

Nonlinear extensions of the Kalman filter (KF), such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are indispensable for state estimation in complex dynamical systems, yetโ€ฆ

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Engineering Preprint PDF DOI

Rapid stabilization of the heat equation with localized disturbance

Patricio Guzman, Hugo Parada (SPHINX, IECL), Christian Calle-Cardenas ยท 2025

This paper studies the rapid stabilization of a multidimensional heat equation in the presence of an unknown spatially localized disturbance. A novel multivalued feedback control strategy is proposed,โ€ฆ

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Engineering Preprint PDF DOI

InnerGS: Internal Scenes Reconstruction and Segmentation via Factorized 3D Gaussian Splatting

Shuxin Liang, Yihan Xiao, Wenlu Tang ยท 2025

3D Gaussian Splatting (3DGS) has recently gained popularity for efficient scene rendering by representing scenes as explicit sets of anisotropic 3D Gaussians. However, most existing work focuses primaโ€ฆ

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Engineering Preprint PDF DOI

Overview of Controllability Definitions in Supervisory Control Theory

Jeroen J.A. Keiren, Michel A. Reniers ยท 2025

In the field of supervisory control theory, the literature often proposes different definitions for the same concept, making it difficult to understand how these definitions are related. This is definโ€ฆ

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Engineering Preprint PDF DOI

ABCDEFGH: An Adaptation-Based Convolutional Neural Network-CycleGAN Disease-Courses Evolution Framework Using Generative Models in Health Education

Ruiming Min, Minghao Liu ยท 2025

With the advancement of modern medicine and the development of technologies such as MRI, CT, and cellular analysis, it has become increasingly critical for clinicians to accurately interpret various dโ€ฆ

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Engineering Preprint PDF DOI

Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal Transformer

Muyun Jiang, Yi Ding, Wei Zhang, Kok Ann Colin Teo, LaiGuan Fong, Shuailei Zhang, Zhiwei Guo, Chenyu Liu, Raghavan Bhuvanakantham, Wei Khang Jeremy Sim, Chuan Huat Vince Foo, Rong Hui Jonathan Chua, Parasuraman Padmanabhan, Victoria Leong, Jia Lu, Balazs Gulyas, Cuntai Guan ยท 2025

Covert speech involves imagining speaking without audible sound or any movements. Decoding covert speech from electroencephalogram (EEG) is challenging due to a limited understanding of neural pronuncโ€ฆ

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Engineering Preprint PDF DOI

A Sharpness Based Loss Function for Removing Out-of-Focus Blur

Uditangshu Aurangabadkar, Darren Ramsook, Anil Kokaram ยท 2024

The success of modern Deep Neural Network (DNN) approaches can be attributed to the use of complex optimization criteria beyond standard losses such as mean absolute error (MAE) or mean squared error โ€ฆ

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Engineering Preprint PDF DOI

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI

Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen ยท 2024

Automated breast tumor segmentation on the basis of dynamic contrast-enhancement magnetic resonance imaging (DCE-MRI) has shown great promise in clinical practice, particularly for identifying the preโ€ฆ

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Engineering Preprint PDF DOI

Mitigating Overconfidence in Nonlinear Kalman Filters via Covariance Recalibration

Shida Jiang, Junzhe Shi, Scott Moura ยท 2024

The Kalman filter (KF) is an optimal linear state estimator for linear systems, and numerous extensions, including the extended Kalman filter (EKF), unscented Kalman filter (UKF), and cubature Kalman โ€ฆ

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Engineering Preprint PDF DOI

A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing

Edward L. Zhu, Francesco Borrelli ยท 2024

Dynamic games can be an effective approach for modeling interactive behavior between multiple competitive agents in autonomous racing and they provide a theoretical framework for simultaneous predictiโ€ฆ

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Engineering Preprint PDF DOI

InCoRo: In-Context Learning for Robotics Control with Feedback Loops

Jiaqiang Ye Zhu, Carla Gomez Cano, David Vazquez Bermudez, Michal Drozdzal ยท 2024

One of the challenges in robotics is to enable robotic units with the reasoning capability that would be robust enough to execute complex tasks in dynamic environments. Recent advances in LLMs have poโ€ฆ

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Engineering Preprint PDF DOI

Onboard View Planning of a Flying Camera for High Fidelity 3D Reconstruction of a Moving Actor

Qingyuan Jiang, Volkan Isler ยท 2023

Capturing and reconstructing a human actor's motion is important for filmmaking and gaming. Currently, motion capture systems with static cameras are used for pixel-level high-fidelity reconstructionsโ€ฆ

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Engineering Preprint PDF DOI

Learning to Solve Tasks with Exploring Prior Behaviours

Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Celiktutan ยท 2023

Demonstrations are widely used in Deep Reinforcement Learning (DRL) for facilitating solving tasks with sparse rewards. However, the tasks in real-world scenarios can often have varied initial conditiโ€ฆ

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Engineering Preprint PDF DOI

Target Active Speaker Detection with Audio-visual Cues

Yidi Jiang, Ruijie Tao, Zexu Pan, Haizhou Li ยท 2023

In active speaker detection (ASD), we would like to detect whether an on-screen person is speaking based on audio-visual cues. Previous studies have primarily focused on modeling audio-visual synchronโ€ฆ

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Engineering Preprint PDF DOI

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

Iksung Kang, Yi Jiang, Mirko Holler, Manuel Guizar-Sicairos, A. F. J. Levi, Jeffrey Klug, Stefan Vogt, George Barbastathis ยท 2023

Three-dimensional inspection of nanostructures such as integrated circuits is important for security and reliability assurance. Two scanning operations are required: ptychographic to recover the complโ€ฆ

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Engineering Preprint PDF DOI

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation

Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Lei Zhu ยท 2023

In recent years, Denoising Diffusion Models have demonstrated remarkable success in generating semantically valuable pixel-wise representations for image generative modeling. In this study, we proposeโ€ฆ

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Engineering Preprint PDF DOI

Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging

Yusheng Zhou, Hao Li, Jianan Liu, Zhengmin Kong, Tao Huang, Euijoon Ahn, Zhihan Lv, Jinman Kim, David Dagan Feng ยท 2023

Motion artifacts compromise the quality of magnetic resonance imaging (MRI) and pose challenges to achieving diagnostic outcomes and image-guided therapies. In recent years, supervised deep learning aโ€ฆ

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Engineering Preprint PDF DOI

Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech

Ziyue Jiang, Zhe Su, Zhou Zhao, Qian Yang, Yi Ren, Jinglin Liu, Zhenhui Ye ยท 2022

Polyphone disambiguation aims to capture accurate pronunciation knowledge from natural text sequences for reliable Text-to-speech (TTS) systems. However, previous approaches require substantial annotaโ€ฆ

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Engineering Preprint PDF DOI

A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria

Edward L. Zhu, Francesco Borrelli ยท 2022

Dynamic games can be an effective approach to modeling interactive behavior between multiple non-cooperative agents and they provide a theoretical framework for simultaneous prediction and control in โ€ฆ

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