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๐Ÿ” u kang ๐Ÿ“‚ Engineering
Showing 2006 results for "u kang" in Engineering
Engineering Preprint PDF DOI

UNet-Based Fusion and Exponential Moving Average Adaptation for Noise-Robust Speaker Recognition

Chong-Xin Gan, Peter Bell, Man-Wai Mak, Zhe Li, Zezhong Jin, Zilong Huang, Kong Aik Lee ยท 2026

The joint training of speech enhancement and speaker embedding networks for speaker recognition is widely adopted under noisy acoustic environments. While effective, this paradigm often fails to leverโ€ฆ

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Engineering Preprint PDF DOI

Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System

Yifei Wei, Linqing Zhong, Yi Liu, Yuxiang Lu, Xindong He, Maoqing Yao, Guanghui Ren ยท 2026

Vision-Language-Action (VLA) models are a promising paradigm for generalist robotic manipulation by grounding high-level semantic instructions into executable physical actions. However, prevailing appโ€ฆ

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Engineering Preprint PDF DOI

Partition-of-Unity Gaussian Kolmogorov-Arnold Networks

Amir Nooeizadegan ยท 2026

Gaussian basis functions provide an efficient and flexible alternative to spline activations in KANs. In this work, we introduce the partition-of-unity Gaussian KAN (PU-GKAN), a Shepard-type normalizeโ€ฆ

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Engineering Preprint PDF DOI

The manifold of unitary and symmetric matrices: characterization, Riemannian optimization and application to BD-RIS design

Ignacio Santamaria, Carlos Beltran, Eduard Jorswieck, Mohammad Soleymani, Jesus Gutierrez ยท 2026

This paper proposes and analyzes Riemannian optimization algorithms on the manifold of unitary and symmetric matrices, denoted ${\cal {U}}_s$, which naturally models the scattering matrices of passiveโ€ฆ

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Engineering Preprint PDF DOI

Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction

Luis Barba, Johannes Kirschner, Benjamin Bejar ยท 2026

Computed Tomography (CT) is a widely used imaging modality in medical and industrial applications. To limit radiation exposure and measurement time, there is a growing interest in sparse-view CT, wherโ€ฆ

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Scaling of Gaussian Kolmogorov--Arnold Networks

Amir Noorizadegan, Sifan Wang ยท 2026

The Gaussian scale parameter \(\epsilon\) is central to the behavior of Gaussian Kolmogorov--Arnold Networks (KANs), yet its role in deep edge-based architectures has not been studied systematically. โ€ฆ

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Safety-Critical Contextual Control via Online Riemannian Optimization with World Models

Tongxin Li ยท 2026

Modern world models are becoming too complex to admit explicit dynamical descriptions. We study safety-critical contextual control, where a Planner must optimize a task objective using only feasibilitโ€ฆ

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$\mu$-FlowNet: A Deep Learning Approach for Mapping Flow Fields in Irregular Microchannels Using an Attention-based U-Net Encoder-Decoder Architecture

Ganesh Sahadeo Meshram, Suman Chakraborty, Nishant Sinha, Partha Pratim Chakrabarti ยท 2026

In the complex domain of microfluidics systems, analysing fluid flow patterns through random-shaped circular microchannels is significantly challenging task. Conventional approach of solving such probโ€ฆ

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Early Exiting U-Net for Efficient Processing on UAVs: A Case Study in Environmental Monitoring

Luca Sartori Boni, Mohamed Moursi, Norbert Wehn, Bilal Hammoud ยท 2026

Oil spills represent a severe threat, making early-stage thickness estimation crucial for guiding remediation efforts. Unmanned Aerial Vehicles (UAVs) are an attractive platform for environmental moniโ€ฆ

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A Case Study on Energy-Efficient Edge AI Crack Segmentation

Matthias Tschope, Mohamed Moursi, Vladimir Rybalkin, Bo Zhou, Norbert Wehn, Paul Lukowicz ยท 2026

Crack segmentation on edge devices can support continuous infrastructure monitoring and maintenance and thereby help to preserve public safety. Furthermore, autonomous infrastructure monitoring by usiโ€ฆ

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Closed-Form Characterization of Constrained Double-Integrator Optimal Control

Filippos N. Tzortzoglou, Logan E. Beaver, Andreas A. Malikopoulos ยท 2026

We consider the energy-optimal control problem for double-integrator systems subject to state and control constraints, with fixed terminal time and free terminal speed. When the constraints become actโ€ฆ

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Using Unwrapped Full Color Space Recording to Measure the Exposedness of Vehicle Exterior Parts for External Human Machine Interfaces

Jose Gonzalez-Belmonte, Jaerock Kwon ยท 2026

One of the concerns with autonomous vehicles is their ability to communicate their intent to other road users, specially pedestrians, in order to prevent accidents. External Human-Machine Interfaces (โ€ฆ

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Invertible Diffusion for Low-Memory Channel Gain Map Construction in Wireless Communication Networks

Ruifeng Gao, Sen Li, Jue Wang, Qiuming Zhu, Shu Sun ยท 2026

Channel gain maps (CGMs) enable propagation-aware services in edge-intelligent wireless communication networks, while diffusion-based CGM construction is memory intensive for on-device training or adaโ€ฆ

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Workload composition smooths aggregate power demand while sustaining short-horizon ramps in AI data centers

Subir Majumder, Minlan Yu, Le Xie ยท 2026

Artificial intelligence (AI) is driving rapid growth in electricity demand, yet the grid-facing power dynamics of AI data centers remain poorly understood. Here we show that, in shared-GPU systems, thโ€ฆ

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UHD Low-Light Image Enhancement via Real-Time Enhancement Methods with Clifford Information Fusion

Xiaohan Wang, Chen Wu, Dawei Zhao, Guangwei Gao, Dianjie Lu, Guijuan Zhang, Linwei Fan, Xu Lu, Shuai Wu, Hang Wei, Zhuoran Zheng ยท 2026

Considering efficiency, ultra-high-definition (UHD) low-light image restoration is extremely challenging. Existing methods based on Transformer architectures or high-dimensional complex convolutional โ€ฆ

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HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathology

Aasim Bin Saleem, Amr Ahmed, Ardhendu Behera, Hafeezullah Amin, Iman Yi Liao, Mahmoud Khattab, Pan Jia Wern, Haslina Makmur ยท 2026

Immunohistochemistry (IHC) is essential for assessing specific immune biomarkers like Human Epidermal growth-factor Receptor 2 (HER2) in breast cancer. However, the traditional protocols of obtaining โ€ฆ

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MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-Care Ultrasound Devices

Alvin Kimbowa, Arjun Parmar, Ibrahim Mujtaba, Will Wei, Maziar Badii, Matthew Harkey, David Liu, Ilker Hacihaliloglu ยท 2026

Objective: To develop a robust and compact deep learning model for automated knee cartilage segmentation on point-of-care ultrasound (POCUS) devices. Methods: We propose MonoUNet, an ultra-compact Uโ€ฆ

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A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression

Zhenyu Du, Yanbo Gao, Shuai Li, Yiyang Li, Hui Yuan, Mao Ye ยท 2026

With the great success of diffusion models in image generation, diffusion-based image compression is attracting increasing interests. However, due to the random noise introduced in the diffusion learnโ€ฆ

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Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs

Anil Sapkota, Omer San ยท 2026

Spatiotemporal chaos in fluid systems exhibits severe parametric sensitivity, rendering classical adjoint-based optimal control intractable because each operating regime requires recomputing the contrโ€ฆ

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Graph Signal Diffusion Models for Wireless Resource Allocation

Yigit Berkay Uslu, Samar Hadou, Shirin Saeedi Bidokhti, Alejandro Ribeiro ยท 2026

We consider constrained ergodic resource optimization in wireless networks with graph-structured interference. We train a diffusion model policy to match expert conditional distributions over resourceโ€ฆ

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