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๐Ÿ” hongru li ๐Ÿ“‚ Engineering
Showing 330 results for "hongru li" in Engineering
Engineering Preprint PDF DOI

FeatureFox: Sample-Efficient Panoptic Graph Segmentation for Machining Feature Recognition in B-Rep 3D-CAD Models

Bertram Fuchs, Altay Kacan, Aaron Haag, Oliver Lohse ยท 2026

Automatic feature recognition (AFR) on B-Rep 3D-CAD models is central to CAD/CAM automation, yet most learning-based methods are complex, data-hungry, and evaluate instance grouping and semantic labelโ€ฆ

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Engineering Preprint PDF DOI

Design Space Exploration for ReRAM-based Architectures to Address Scaling Non-idealities

Ching-Yi Lin, Sahil Shah ยท 2026

ReRAM-based in-memory computing (IMC) architectures are promising candidates for energy-efficient matrix-vector multiplication. While scaling the size of ReRAM arrays allows for the amortization of poโ€ฆ

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Engineering Preprint PDF DOI

Simple but Stable, Fast and Safe: Achieve End-to-end Control by High-Fidelity Differentiable Simulation

Fanxing Li, Shengyang Wang, Yuxiang Huang, Fangyu Sun, Shuyu Wu, Yufei Yan, Danping Zou, Wenxian Yu ยท 2026

Obstacle avoidance is a fundamental vision-based task essential for enabling quadrotors to perform advanced applications. When planning the trajectory, existing approaches both on optimization and leaโ€ฆ

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Engineering Preprint PDF DOI

Synchronous Observer Design for Landmark-Inertial SLAM with Magnetometer and Intermittent GNSS Measurements

Arkadeep Saha, Pieter van Goor, Ravi Banavar ยท 2026

In Landmark-Inertial Simultaneous Localisation and Mapping (LI-SLAM), the positions of landmarks in the environment and the robot's pose relative to these landmarks are estimated using landmark positiโ€ฆ

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Engineering Preprint PDF DOI

Location-Invariant Assessment of Flexibility Potential under Distribution System Reconfiguration

Anton Hinneck ยท 2026

The growing integration of renewable and decentralized generation increases the need for flexibility in distribution systems. This flexibility, typically represented in a PQ capability curve, is constโ€ฆ

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Engineering Preprint PDF DOI

Aging States Estimation and Monitoring Strategies of Li-Ion Batteries Using Incremental Capacity Analysis and Gaussian Process Regression

Moritz Landwehr, Patrick Hoher, Johannes Reuter ยท 2026

Existing approaches for battery health forecasting often rely on extensive cycling histories and continuously monitored cells. In contrast, many real-world scenarios provide only sparse information, eโ€ฆ

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Engineering Preprint PDF DOI

Integration of local and global surrogates for failure probability estimation

Audrey Gaymann, Juan M. Cardenas, Sung Min Jo, Marco Panesi, Alireza Doostan ยท 2026

This paper presents the development of an algorithm, termed the Global-Local Hybrid Surrogate (GLHS), designed to efficiently compute the probability of rare failure events in complex systems. The priโ€ฆ

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Engineering Preprint PDF DOI

Learning Energy-Efficient Air--Ground Actuation for Hybrid Robots on Stair-Like Terrain

Jiaxing Li, Wen Tian, Xinhang Xu, Junbin Yuan, Sebastian Scherer, Muqing Cao ยท 2026

Hybrid aerial--ground robots offer both traversability and endurance, but stair-like discontinuities create a trade-off: wheels alone often stall at edges, while flight is energy-hungry for small heigโ€ฆ

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Engineering Preprint PDF DOI

Language-Invariant Multilingual Speaker Verification for the TidyVoice 2026 Challenge

Ze Li, Xiaoxiao Miao, Juan Liu, Ming Li ยท 2026

Multilingual speaker verification (SV) remains challenging due to limited cross-lingual data and language-dependent information in speaker embeddings. This paper presents a language-invariant multilinโ€ฆ

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Engineering Preprint PDF DOI

Task Parameter Extrapolation via Learning Inverse Tasks from Forward Demonstrations

Serdar Bahar, Fatih Dogangun, Matteo Saveriano, Yukie Nagai, Emre Ugur ยท 2026

Generalizing skill policies to novel conditions remains a key challenge in robot learning. Imitation learning methods, while data-efficient, are largely confined to the training region and consistentlโ€ฆ

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Engineering Preprint PDF DOI

Map-Agnostic And Interactive Safety-Critical Scenario Generation via Multi-Objective Tree Search

Wenyun Li, Zejian Deng, Chen Sun ยท 2026

Generating safety-critical scenarios is essential for validating the robustness of autonomous driving systems, yet existing methods often struggle to produce collisions that are both realistic and divโ€ฆ

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Engineering Preprint PDF DOI

DLIOS: An LLM-Augmented Real-Time Multi-Modal Interactive Enhancement Overlay System for Douyin Live Streaming

Shuide Wen, Sungil Seok, Beier Ku, Richee Li, Yubin He, Bowen Qu, Yang Yang, Ping Su, Can Jiao ยท 2026

We present DLIOS, a Large Language Model (LLM)-augmented real-time multi-modal interactive enhancement overlay system for Douyin (TikTok) live streaming. DLIOS employs a three-layer transparent windowโ€ฆ

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Engineering Preprint PDF DOI

PINEAPPLE: Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter Inference in Lithium-Ion Battery Electrodes

Karkulali Pugalenthi, Jian Cheng Wong, Qizheng Yang, Pao-Hsiung Chiu, My Ha Dao, Nagarajan Raghavan, Chinchun Ooi ยท 2026

Accurate, real-time, yet non-destructive estimation of internal states in lithium-ion batteries is critical for predicting degradation, optimizing usage strategies, and extending operational lifespan.โ€ฆ

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Engineering Preprint PDF DOI

EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration

Modi Shi, Shijia Peng, Jin Chen, Haoran Jiang, Yinghui Li, Di Huang, Ping Luo, Hongyang Li, Li Chen ยท 2026

Human demonstrations offer rich environmental diversity and scale naturally, making them an appealing alternative to robot teleoperation. While this paradigm has advanced robot-arm manipulation, its pโ€ฆ

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Engineering Preprint PDF DOI

Impact of Physics-Informed Features on Neural Network Complexity for Li-ion Battery Voltage Prediction in Electric Vertical Takeoff and Landing Aircrafts

Eymen Ipek, Mario Hirz ยท 2026

The electrification of vertical takeoff and landing aircraft demands high-fidelity battery management systems capable of predicting voltage response under aggressive power dynamics. While data-driven โ€ฆ

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Engineering Preprint PDF DOI

Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification

Jyun-Ping Kao, Jiaxin Yang, C.-C. Jay Kuo, Jonghye Woo ยท 2026

Echocardiography is a cornerstone for managing heart failure (HF), with Left Ventricular Ejection Fraction (LVEF) being a critical metric for guiding therapy. However, manual LVEF assessment suffers fโ€ฆ

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Engineering Preprint PDF DOI

Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data -- Part B: Cycling operation

Lucu M., Martinez-Laserna E., Gandiaga I., Liu K., Camblong H., Widanage W.D., Marco J ยท 2026

Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide accurate predictionsโ€ฆ

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Engineering Preprint PDF DOI

Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data -- Part A: Storage operation

Lucu M., Martinez-Laserna E., Gandiaga I., Liu K., Camblong H., Widanage W.D., Marco J ยท 2026

Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide accurate predictionsโ€ฆ

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Engineering Preprint PDF DOI

HyMGP: A Customized MILP-Based Tool for Techno-Economic Planning of Islanded Microgrids

Andres Intriago, Rongxing Hu, Nabil Mohammed, S. Gokul Krishnan, Konstantinos Kotsovos, Issam Gereige, Nesren Attiah, Ali Basaheeh, Sarah Aqeel, Hamad A. Saiari, Shehab Ahmed, Charalambos Konstantinou ยท 2026

This paper presents a customized microgrid planning algorithm and tool, HyMGP, for remote sites in arid regions, which is formulated as a Mixed Integer Linear Programming (MILP) problem. HyMGP is compโ€ฆ

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Engineering Preprint PDF DOI

Variable-Length Wideband CSI Feedback via Loewner Interpolation and Deep Learning

Meilin Li, Wei Xu, Zhixiang Hu, An Liu ยท 2026

In this paper, we propose a variable-length wideband channel state information (CSI) feedback scheme for Frequency Division Duplex (FDD) massive multiple-input multipleoutput (MIMO) systems in U6G banโ€ฆ

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