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๐Ÿ” aylin alin ๐Ÿ“‚ Engineering
Showing 1107 results for "aylin alin" in Engineering
Engineering Preprint PDF DOI

Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification

Chuanzheng Gong, Feng Gao, Junyan Lin, Junyu Dong, Qian Du ยท 2026

Hyperspectral image (HSI) and SAR/LiDAR data offer complementary spectral and structural information for land-cover classification. However, their effective fusion remains challenging due to two majorโ€ฆ

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Engineering Preprint PDF DOI

High Coupling Tunable Acoustic Resonators in Monolithic Barium Titanate

Ian Anderson, Agham Posadas, Alexander A. Demkov, Ruochen Lu ยท 2026

The growing number of wireless communication bands has driven demand for compact, low-loss, and frequency adjustable RF filtering. Tunable acoustic resonators are well suited to address these needs, oโ€ฆ

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Engineering Preprint PDF DOI

Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising

Jun Guo, Qiwei Li, Peiyan Li, Zilong Chen, Nan Sun, Yifei Su, Heyun Wang, Yuan Zhang, Xinghang Li, Huaping Liu ยท 2026

We propose X-WAM, a Unified 4D World Model that unifies real-time robotic action execution and high-fidelity 4D world synthesis (video + 3D reconstruction) in a single framework, addressing the criticโ€ฆ

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Engineering Preprint PDF DOI

Unfitted Multi-Level hp Refinement for Localized and Moving Solution Features

Jan Niklas Schmake, Martin Ruess ยท 2026

Localized features such as singularities, sharp gradients, discontinuities, and moving sources require adaptive finite element discretizations. Conventional refinement strategies introduce significantโ€ฆ

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Engineering Preprint PDF DOI

Comparative Evaluation of Modern Deep Learning Methodologies for Portfolio Optimization

Samuel Ozechi, Banjo Francis, Wisdom Yakanu, Joe Wayne Byers ยท 2026

This study proposes a portfolio optimization framework that integrates advanced deep learning architectures with traditional financial models to enhance risk-adjusted performance. Using historical datโ€ฆ

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Engineering Preprint PDF DOI

NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR

Yuan Xie, Jiaqi Song, Guang Qiu, Xianliang Wang, Kai Qiao, Junfeng Yuan, Shengqing Liu, Yi Zhang, Bowen Chen, Ming Lei, Jie Gao, Jie Wu ยท 2026

Integrating large language models (LLMs) into automatic speech recognition (ASR) has become a mainstream paradigm in recent years. Although existing LLM-based ASR models demonstrate impressive performโ€ฆ

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Engineering Preprint PDF DOI

CVaR-Guided Decision-Focused Learning and Risk-Triggered Re-Optimization for Two-Stage Robust Microgrid Operation

Tingwei Cao, Yan Xu ยท 2026

Microgrid operation is highly vulnerable to short-term load uncertainty, while conventional predict-then-optimize pipelines cannot fully align probabilistic forecasting quality with downstream robust โ€ฆ

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Engineering Preprint PDF DOI

GaussianFlow SLAM: Monocular Gaussian Splatting SLAM Guided by GaussianFlow

Dong-Uk Seo, Jinwoo Jeon, Eungchang Mason Lee, Hyun Myung ยท 2026

Gaussian splatting has recently gained traction as a compelling map representation for SLAM systems, enabling dense and photo-realistic scene modeling. However, its application to monocular SLAM remaiโ€ฆ

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Engineering Preprint PDF DOI

Keep It CALM: Toward Calibration-Free Kilometer-Level SLAM with Visual Geometry Foundation Models via an Assistant Eye

Tianjun Zhang, Fengyi Zhang, Tianchen Deng, Lin Zhang, Hesheng Wang ยท 2026

Visual Geometry Foundation Models (VGFMs) demonstrate remarkable zero-shot capabilities in local reconstruction. However, deploying them for kilometer-level Simultaneous Localization and Mapping (SLAMโ€ฆ

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Engineering Preprint PDF DOI

Robotic Manipulation is Vision-to-Geometry Mapping ($f(v) \rightarrow G$): Vision-Geometry Backbones over Language and Video Models

Zijian Song, Qichang Li, Jiawei Zhou, Zhenlong Yuan, Tianshui Chen, Liang Lin, Guangrun Wang ยท 2026

At its core, robotic manipulation is a problem of vision-to-geometry mapping ($f(v) \rightarrow G$). Physical actions are fundamentally defined by geometric properties like 3D positions and spatial reโ€ฆ

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Engineering Preprint PDF DOI

Strategic Spatial Load Shifting and Market Efficiency

Aron Brenner, Deepjyoti Deka, Line Roald, Saurabh Amin ยท 2026

Large, spatially flexible electricity consumers such as data centers can reallocate demand across locations, influencing dispatch and prices in wholesale electricity markets. While flexible load is ofโ€ฆ

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Engineering Preprint PDF DOI

Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation

Rongjun Ge, Chong Wang, Yuxin Liu, Chunqiang Lu, Cong Xia, Yehui Jiang, Fangyi Xu, Yinsu Zhu, Daoqiang Zhang, Chengyu Liu, Yang Chen, Shuo Li, Yuting He ยท 2026

In the field of medical image segmentation, the scarcity of labeled data poses a major challenge for existing models to accurately perceive target regions. Compared with manual annotation, gaze data iโ€ฆ

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Engineering Preprint PDF DOI

Musculoskeletal Motion Imitation for Learning Personalized Exoskeleton Control Policy in Impaired Gait

Itak Choi, Ilseung Park, Eni Halilaj, Inseung Kang ยท 2026

Designing generalizable control policies for lower-limb exoskeletons remains fundamentally constrained by exhaustive data collection or iterative optimization procedures, which limit accessibility to โ€ฆ

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Engineering Preprint PDF DOI

Diffusion Inpainting MIMO-OFDM Channels with Limited Noisy Observations

Weijie Zhou, Zhaoyang Zhang, Yuzhi Yang, Sen Yan, Zhixian Kong, Merouane Debbah ยท 2026

Acquiring the channel state information from limited and noisy observations at pilot positions is critical for wireless multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexingโ€ฆ

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Engineering Preprint PDF DOI

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising

Junyoung Park, Youngjin Oh, Nam Ik Cho ยท 2026

Blind-spot networks (BSNs) enable self-supervised image denoising by preventing access to the target pixel, allowing clean signal estimation without ground-truth supervision. However, this approach asโ€ฆ

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Engineering Preprint PDF DOI

Unmixing the Crowd: Learning Mixture-to-Set Speaker Embeddings for Enrollment-Free Target Speech Extraction

FNU Sidharth, Meysam Asgari, Hao-Wen Dong, Dhruv Jain ยท 2026

Personalized or target speech extraction (TSE) typically needs a clean enrollment -- hard to obtain in real-world crowded environments. We remove the essential need for enrollment by predicting, from โ€ฆ

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Engineering Preprint PDF DOI

Multi-View Video Diffusion Policy: A 3D Spatio-Temporal-Aware Video Action Model

Peiyan Li, Yixiang Chen, Yuan Xu, Jiabing Yang, Xiangnan Wu, Jun Guo, Nan Sun, Long Qian, Xinghang Li, Xin Xiao, Jing Liu, Nianfeng Liu, Tao Kong, Yan Huang, Liang Wang, Tieniu Tan ยท 2026

Robotic manipulation requires understanding both the 3D spatial structure of the environment and its temporal evolution, yet most existing policies overlook one or both. They typically rely on 2D visuโ€ฆ

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Engineering Preprint PDF DOI

F2F-AP: Flow-to-Future Asynchronous Policy for Real-time Dynamic Manipulation

Haoyu Wei, Xiuwei Xu, Ziyang Cheng, Hang Yin, Angyuan Ma, Bingyao Yu, Jie Zhou, Jiwen Lu ยท 2026

Asynchronous inference has emerged as a prevalent paradigm in robotic manipulation, achieving significant progress in ensuring trajectory smoothness and efficiency. However, a systemic challenge remaiโ€ฆ

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Engineering Preprint PDF DOI

AURA: Multimodal Shared Autonomy for Real-World Urban Navigation

Yukai Ma, Honglin He, Selina Song, Wayne Wu, Bolei Zhou ยท 2026

Long-horizon navigation in complex urban environments relies heavily on continuous human operation, which leads to fatigue, reduced efficiency, and safety concerns. Shared autonomy, where a Vision-Lanโ€ฆ

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Engineering Preprint PDF DOI

Boosting Vision-Language-Action Finetuning with Feasible Action Neighborhood Prior

Haochen Niu, Kanyu Zhang, Shuyu Yin, Qinghai Guo, Peilin Liu, Fei Wen ยท 2026

In real-world robotic manipulation, states typically admit a neighborhood of near-equivalent actions. That is, for each state, there exist a feasible action neighborhood (FAN) rather than a single corโ€ฆ

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