Yu Liu (6938)

Magnetocaloric effect of GdTbDyErPr rare-earth high-entropy alloy

Yu Liu (6938), Lei GAO, Jie Peng, Haitao GUO

In this study, a GdTbDyErPr rare-earth high-entropy alloy (RE HEA) was successfully synthesized and its magnetic properties and magnetocaloric effect (MCE) were systematically investigated. The results indicate that the as-cast GdTbDyErPr RE HEA exhibits a single-phase hexagonal close-packed (HCP) structure with lattice …

cn (code pays fourni par la source)

Risk-sensitive collaborative parameter tuning via calibrated deep surrogates for rare-earth electrolysis energy efficiency

Yu Liu (6938), Jun Peng (192647), Fan Yang, Haitao Guo

Improving energy efficiency in rare-earth molten salt electrolysis is challenging due to strong process nonlinearity, limited evaluation budgets, and strict operational constraints. Existing data-driven parameter tuning methods often rely on deterministic surrogate models and pointwise optimization, which ignore predictive uncertainty and may …

cn (code pays fourni par la source)

Optimization of underwater ranging accuracy based on Bayesian combined improved sparrow search algorithm

Ting Zhang, Feng Li (30515), Yuzhi Pan, Yu Liu (6938)

To solve the problems that traditional underwater blue-green laser ranging relies on high-end hardware and is difficult to popularize at low cost, this paper proposes a collaborative optimization strategy of Bayesian algorithm and improved Sparrow Search Algorithm (ASFSSA) to improve ranging accuracy …

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Fully automated system predicts osteoporotic vertebral fracture across institutions using lumbar MRI paraspinal muscle signatures

Weicong Zhang, Yangjie Qin, Yixiu Hao, Weiying Liang et autres

Paraspinal muscle (PM) degeneration is a crucial yet frequently overlooked risk factor for osteoporotic vertebral fractures (OVF). We developed PM Segmentation and Classification of OVF (PMSAC-OVF), a fully automated, multi-institutional system that segments lumbar PMs on MRI, extracts federated learning (FL) and …

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CFD-aided design and hydrodynamic characterization of a single-use perfusion bioreactor for high density cell culture

Y Liu, Qingfeng Gu, Yu Liu (6938), Guoqian Xu et autres

Abstract To address the challenges of high-density animal cell culture, this study developed a high-density culture system comprising a single-use bioreactor (SUB) with a nominal volume of 500 mL and a pulsed tangential flow filtration (ITF) unit. The reactor can be configured …

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Additional file 1 of CFD-aided design and hydrodynamic characterization of a single-use perfusion bioreactor for high density cell culture

Y Liu, Qingfeng Gu, Yu Liu (6938), Guoqian Xu et autres

Supplementary Material 1

cn (code pays fourni par la source)

CFD-aided design and hydrodynamic characterization of a single-use perfusion bioreactor for high density cell culture

Y Liu, Qingfeng Gu, Yu Liu (6938), Guoqian Xu et autres

Abstract To address the challenges of high-density animal cell culture, this study developed a high-density culture system comprising a single-use bioreactor (SUB) with a nominal volume of 500 mL and a pulsed tangential flow filtration (ITF) unit. The reactor can be configured …

cn (code pays fourni par la source)

Additional file 1 of CFD-aided design and hydrodynamic characterization of a single-use perfusion bioreactor for high density cell culture

Y Liu, Qingfeng Gu, Yu Liu (6938), Guoqian Xu et autres

Supplementary Material 1

cn (code pays fourni par la source)

G^2C-MT: Graph-Guided Context Selection for Document-Level Machine Translation

Baijun Ji, Zixuan Zhou, Xiangyu Duan, Yu Liu (6938) et autres

Effective document-level machine translation (DocMT) requires capturing long-range discourse dependencies. Recent work has explored retrieval-based and discourse-aware context selection. However, these approaches often lack an explicit mechanism for modeling structured discourse dependencies between distant paragraphs in a document. In this paper, we …

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FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression

Jiajie Li, Yu Liu (6938), Rencheng Song, Xun Chen et autres

Remote photoplethysmography (rPPG) enables non-contact extraction of blood volume pulse (BVP) signals using consumer-grade cameras. Recent unsupervised rPPG methods learn BVP representations without requiring ground-truth physiological annotations, yet their optimization is often hindered by noisy and unstable gradients, resulting in slow convergence …

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PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects

Sicheng Yang, Shulan Ruan, Shiwei Wu, Yu Liu (6938) et autres

While End-to-End (E2E) Speech-Large Language Models (Speech-LLMs) are rapidly evolving, their evaluation methodologies remain limited to the era of simple transcription. Existing benchmarks suffer from three critical limitations: a pronounced bias towards high-resource languages, a focus on low-level recognition (ASR) rather than …

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MUSCLE-NET: Predicted-Multiscale-Aware Network for Pedestrian Trajectory Forecasting

Yu Liu (6938), Ming Huang, Xiao Ren, Zhijie Liu et autres

Accurate pedestrian trajectory prediction is essential for safe navigation in autonomous driving and intelligent transportation systems. Despite substantial progress made by recent methods, most existing approaches are limited in fully exploiting diverse observations and often overlook the scale dependency of future motion, …