Research on location selection strategy for airlines spare parts central warehouse based on METRIC

R Wang, Y Qin, H Sun - Computational Intelligence and …, 2021 - Wiley Online Library
With the increased demands of airlines, it is important to study the location selection strategy
for spare parts central warehouse in order to improve the allocation capacity of spare parts …

Self-limiting selective phase separation of graphene oxide and polymer composite solution

F Chen, L Wang, K Li, R Guo, Y Qin, C Shen, Y Liu… - Nanoscale, 2025 - pubs.rsc.org
Homogeneous mixtures undergo phase separation to generate rich heterogeneous structures
as well as enable complex physiological activity and delicate design of artificial materials. …

Enhanced pseudo-label generation with self-supervised training for weakly-supervised semantic segmentation

Z Qin, Y Chen, G Zhu, E Zhou, Y Zhou… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Due to the high cost of pixel-level labels required for fully-supervised semantic segmentation,
weakly-supervised segmentation has emerged as a more viable option recently. Existing …

Robust matrix completion via maximum correntropy criterion and half-quadratic optimization

Y He, F Wang, Y Li, J Qin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Robust matrix completion aims to recover a low-rank matrix from a subset of noisy entries
perturbed by complex noises. Traditional matrix completion algorithms are always based on l 2 …

Broken‐Edge Decision‐Making Strategy for COVID‐19 over Air Railway Composite Network

H Sun, Y Qin, Z Mu, R Wang - Computational Intelligence and …, 2022 - Wiley Online Library
In order to control the spread of the COVID‐19 virus, this study proposes an ARCN‐SUTS (air
railway composite network susceptible‐untested‐tested‐susceptible) model based on the …

Analysis and Prediction of Excavator Energy Consumption Based on Improved PSO-BP Neural Network

Y Shen, H Song, G Li, Q Qin, A Cherouat - International Workshop of …, 2022 - Springer
The complex operation process of hydraulic excavators and drastic load fluctuations lead to
the increase of fuel consumption and emissions. Accurate prediction of excavator energy …

A novel calculation model, characteristics and applications of Archie's cementation exponent in dual porosity reservoirs with intersecting dual fractures

Z Qin, J Wu, C Wang, S Luo, H Yang, K Su… - Geoenergy Science and …, 2023 - Elsevier
Fractured rock samples are difficult to use for ground conductive experiments, and there are
few related simulation researches of Archie's cementation exponent in the reservoirs with …

Videoqa in the era of llms: An empirical study

J Xiao, N Huang, H Qin, D Li, Y Li, F Zhu, Z Tao… - International Journal of …, 2025 - Springer
Video Large Language Models (Video-LLMs) are flourishing and has advanced many video-language
tasks. As a golden testbed, Video Question Answering (VideoQA) plays pivotal …

Immune characteristics of kidney transplant recipients with acute respiratory distress syndrome induced by COVID-19 at single-cell resolution

J Lu, Y Chen, K Zhou, Y Ling, Q Qin, W Lu, L Qin… - Respiratory …, 2024 - Springer
Background COVID-19-induced acute respiratory distress syndrome (ARDS) can result in
tissue damage and multiple organ dysfunction, especially in kidney transplant recipients (KTRs…

A machine learning model for predicting acute respiratory distress syndrome risk in patients with sepsis using circulating immune cell parameters: a retrospective …

K Zhou, L Qin, Y Chen, H Gao, Y Ling, Q Qin… - BMC Infectious …, 2025 - Springer
Background Acute respiratory distress syndrome (ARDS) is a severe complication associated
with a high mortality rate in patients with sepsis. Early identification of patients with sepsis …