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๐Ÿ” fei liu ๐Ÿ“‚ Engineering
Showing 2056 results for "fei liu" in Engineering
Engineering Preprint PDF DOI

On the Nesterov's acceleration: A NAIM perspective

Rachit Mehra, M Parimi, Amol Yerudkar, S.R. Wagh, Navdeep Singh ยท 2026

We present a unifying Nearly Asymptotically Invariant Manifold (NAIM) framework for understanding Nesterovs Accelerated Gradient (NAG) method. By lifting the first-order gradient flow into a second-orโ€ฆ

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Engineering Preprint PDF DOI

Pinching Antenna-Aided Spatial Multiplexing: Transceiver Design and Performance Analysis

Ruijie Li, Yue Xiao, Shuaixin Yang, Gang Wu, Xianfu Lei, Ming Xiao ยท 2026

In this paper, a novel pinching antenna-aided spatial multiplexing (PASM) architecture is conceived, which intrinsically amalgamates the benefits of flexible radiating element placement with radio-freโ€ฆ

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Engineering Preprint PDF DOI

FlowS: One-Step Motion Prediction via Local Transport Conditioning

Leandro Di Bella, Adrian Munteanu, Bruno Cornelis ยท 2026

Generative motion prediction must satisfy three simultaneous requirements for real-world autonomy: high accuracy, diverse multimodal futures, and strictly bounded latency. Diffusion models meet the fiโ€ฆ

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Engineering Preprint PDF DOI

GEGLU-Transformer for IMU-to-EMG Estimation with Few-Shot Adaptation

Miroljub Mihailovic, Luca Tonin, Stefano Tortora, Emanuele Menegatti ยท 2026

Reliable estimation of neuromuscular activation is a key enabler for adaptive and personalized control in wearable robotics. However, surface electromyography (EMG) remains difficult to deploy robustlโ€ฆ

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Engineering Preprint PDF DOI

VEHRON: A Configuration-Driven BEV Simulation Framework for Subsystem-Level Studies

Subramanyam Natarajan ยท 2026

In practical early-stage battery-electric vehicle studies, analysis workflows may become fragmented across spreadsheets, notebooks, and project-specific scripts, making reuse, audit, and extension harโ€ฆ

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Engineering Preprint PDF DOI

Extracting Exact Lie Derivatives Without Backpropagation: A Dual Compiler for Neural Control Barrier Functions

Mohammadreza Kamaldar ยท 2026

Deploying neural-network control barrier functions (CBFs) on embedded hardware requires evaluating the barrier value and its Lie derivatives along the system vector fields at every control cycle. The โ€ฆ

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Engineering Preprint PDF DOI

Equivariant Filter for Radar-Inertial Odometry

Giulio Delama, Jan Michalczyk, Morten Nissov, Martin Scheiber, Alessandro Fornasier, Kostas Alexis, Stephan Weiss ยท 2026

Radar-Inertial Odometry (RIO) based on the Extended Kalman Filter (EKF) relies on accurate extrinsic calibration between the radar and the Inertial Measurement Unit (IMU) and is sensitive to disturbanโ€ฆ

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Engineering Preprint PDF DOI

Algebraic Diversity: Principles of a Group-Theoretic Approach to Signal Processing

Mitchell A. Thornton ยท 2026

We present principles of algebraic diversity (AD), a group-theoretic approach to signal processing exploiting signal symmetry to extract more information per observation, complementing classical methoโ€ฆ

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Engineering Preprint PDF DOI

Sparsification of Precoding Codebooks for PAPR Reduction via Grassmannian Representations

Joe Asano, Yuto Hama, Hiroki Iimori, Szabolcs Malomsoky, Naoki Ishikawa ยท 2026

In this letter, we propose a sparsification method for precoding codebooks that reduces the peak-to-average power ratio (PAPR) while preserving the achievable rate. By exploiting the fact that precodeโ€ฆ

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Engineering Preprint PDF DOI

Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification

Chinthakuntla Meghan Sai, Murarisetty V Sai Kartheek, Sita Devi Bharatula, Karthik Seemakurthy ยท 2026

The scarcity of labeled clinical data in oncology makes Few-Shot Learning (FSL) a critical framework for Computer Aided Diagnostics, but we observed that standard Prototypical Networks often struggle โ€ฆ

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Engineering Preprint PDF DOI

A Model and Estimation of the Bitcoin Transaction Fee

Daniel Aronoff, Kristian Praizner, Armin Sabouri ยท 2026

Bitcoin transaction fees will become more important as the block subsidy declines, but fee formation is hard to study with blockchain data alone because the relevant queueing environment is unobservedโ€ฆ

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Engineering Preprint PDF DOI

E2E-WAVE: End-to-End Learned Waveform Generation for Underwater Video Multicasting

Khizar Anjum, Tingcong Jiang, Dario Pompili ยท 2026

We present E2E-WAVE, the first end-to-end learned waveform generation system for underwater video multicasting. Acoustic channels exhibit 20--46% bit error rates where forward error correction becomesโ€ฆ

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Engineering Preprint PDF DOI

Iterated Invariant EKF for Quadruped Robot Odometry

Hilton Marques Souza Santana, Joao Carlos Virgolino Soares, Sven Goffin, Ylenia Nistico, Silvere Bonnabel, Claudio Semini, Marco Antonio Meggiolaro ยท 2026

Kalman filter-based algorithms are fundamental for mobile robots, as they provide a computationally efficient solution to the challenging problem of state estimation. However, they rely on two main asโ€ฆ

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Engineering Preprint PDF DOI

ProtoAoA: Few-Shot Angle-of-Arrival Estimation using Prototypical Networks

Elsayed Mohammed, Omar Mashaal, Alec Digby, Pasquale Leone, Lorne Swersky, Ashkan Eshaghbeigi, Hatem Abou-Zeid ยท 2026

Angle-of-arrival (AoA) estimation is a crucial function in wireless communications used for localization, beam-forming, interference management, and other applications. Deep learning (DL) solutions haโ€ฆ

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Engineering Preprint PDF DOI

BIEVR-LIO: Robust LiDAR-Inertial Odometry through Bump-Image-Enhanced Voxel Maps

Patrick Pfreundschuh, Turcan Tuna, Cedric Le Gentil, Roland Siegwart, Cesar Cadena, Helen Oleynikova ยท 2026

Reliable odometry is essential for mobile robots as they increasingly enter more challenging environments, which often contain little information to constrain point cloud registration, resulting in deโ€ฆ

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Engineering Preprint PDF DOI

Stable Long-Horizon Neural ODE Reduced-Order Models via Learned Feedback for Biological Growth and Remodeling

Joel Laudo, Adrian Buganza Tepole ยท 2026

Reduced-order models (ROMs) are essential for rapid simulation of complex biomechanical systems and for bridging the gap between high fidelity models and clinical application. However, ROMs for tissueโ€ฆ

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Engineering Preprint PDF DOI

SpeakerRPL v2: Robust Open-set Speaker Identification through Enhanced Few-shot Foundation Tuning and Model Fusion

Zhiyong Chen, Shuhang Wu, Yingjie Duan, Xinkang Xu, Xinhui Hu ยท 2026

This paper proposes an improved approach for open-set speaker identification based on pretrained speaker foundation models. Building upon the previous Speaker Reciprocal Points Learning framework (V1)โ€ฆ

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Engineering Preprint PDF DOI

Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation

Nafis Fuad Shahid, Maroof Ahmed, Md Akib Haider, Saidur Rahman Sagor, Aashnan Rahman, Md Azam Hossain ยท 2026

Multimodal federated learning enables privacy-preserving collaborative model training across healthcare institutions. However, a fundamental challenge arises from modality heterogeneity: many clinicalโ€ฆ

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Engineering Preprint PDF DOI

Complementarity by Construction: A Lie-Group Approach to Solving Quadratic Programs with Linear Complementarity Constraints

Arun L. Bishop, Micah I. Reich, Zachary Manchester ยท 2026

Many problems in robotics require reasoning over a mix of continuous dynamics and discrete events, such as making and breaking contact in manipulation and locomotion. These problems are locally well mโ€ฆ

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Engineering Preprint PDF DOI

An Argument-Principle Based Stability Assessment Method for Grey-Box DFIG Systems

Tao Zhang, Zhiguo Hao, Songhao Yang, Hongyue Ma, Baohui Zhang ยท 2026

Considerable efforts have been made to analyze the small-signal stability of doubly fed induction generator (DFIG) systems. However, commercial confidentiality and frequency coupling make the DFIG sysโ€ฆ

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