Explanipedia

Research on Energy-saving Optimization of HVAC System in Power Plant in Smart Grid Operation Open

Jing Qin, Zeyang Liu, Zili Yu, Ruixue Hu, Huanpeng Hou · 2025

With the rise of smart grid, traditional power plants are facing challenges and opportunities of energy saving and emission reduction. This paper studies the energy-saving optimization strategy of HVAC (heating, ventilation, and air condit…

BenchReAD: A systematic benchmark for retinal anomaly detection Open

Chenyu Lian, Hong-Yu Zhou, Zixiang Chen, Jing Qin · 2025

Retinal anomaly detection plays a pivotal role in screening ocular and systemic diseases. Despite its significance, progress in the field has been hindered by the absence of a comprehensive and publicly available benchmark, which is essent…

ProstaTD: Bridging Surgical Triplet from Classification to Fully Supervised Detection Open

Yiliang Chen, Zhixi Li, Cheng Xu, Alex Qinyang Liu, Ruize Cui , et al. · 2025

Surgical triplet detection is a critical task in surgical video analysis. However, existing datasets like CholecT50 lack precise spatial bounding box annotations, rendering triplet classification at the image level insufficient for practic…

Response of Extracellular Enzyme Stoichiometric Properties and Microbial Metabolic Limitations to the Ecosystem Transition Mode Employed in Red Jujube Economic Forests on the Loess Plateau Open

Chuntang Mu, Jiaqi Li, Fuchao Huang, Zhiyu Zhang, Jing Qin , et al. · 2025

Soil carbon (C), nitrogen (N), and phosphorus (P) cycling and microbial metabolism limitations are key factors affecting nutrient cycling and vegetation development. Extracellular enzyme activity (EEA) plays a key role in carbon and nutrie…

Hyperspectral Band Selection via Tensor Low Rankness and Generalized 3DTV Open

K. Henneberger, Jing Qin · 2025

Hyperspectral band selection plays a key role in reducing the high dimensionality of data while maintaining essential details. However, existing band selection methods often encounter challenges, such as high memory consumption, the need f…

Multi-Sensor Fusion Localization Algorithms for Intelligent Agricultural Unmanned Vehicles in Complex Environments Open

Kaihang Yang, Xiaodong Wang, Hongyang Zhao, Haojie Wen, Jing Qin , et al. · 2024

In order to solve the problems of short-time data loss, low positioning accuracy and asynchronous sensor frequency of agricultural unmanned vehicles, the application of multi-sensor fusion positioning algorithm of intelligent agricultural …

OMLog: Online Log Anomaly Detection for Evolving System with Meta-learning Open

Jiyu Tian, Mingchu Li, Zumin Wang, Liming Chen, Jing Qin , et al. · 2024

Log anomaly detection (LAD) is essential to ensure safe and stable operation of software systems. Although current LAD methods exhibit significant potential in addressing challenges posed by unstable log events and temporal sequence patter…

Identification of Autophagy-Related Biomarkers and Diagnostic Model in Alzheimer’s Disease Open

Wei Xu, Xi Su, Jing Qin, Ye Jin, Ning Zhang , et al. · 2024

Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease. Its accurate pathogenic mechanisms are incompletely clarified, and effective therapeutic treatments are still inadequate. Autophagy is closely associated with AD and…

MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion Open

Jing Zou, Lanqing Liu, Qi Chen, Shujun Wang, Xiaohan Xing , et al. · 2024

Multi-modal MRI offers valuable complementary information for diagnosis and treatment; however, its utility is limited by prolonged scanning times. To accelerate the acquisition process, a practical approach is to reconstruct images of the…

Hyperspectral Band Selection based on Generalized 3DTV and Tensor CUR Decomposition Open

K. Henneberger, Jing Qin · 2024

Hyperspectral Imaging (HSI) serves as an important technique in remote sensing. However, high dimensionality and data volume typically pose significant computational challenges. Band selection is essential for reducing spectral redundancy …

Revealing the potential bioactive components and mechanism of Qianhua Gout Capsules in the treatment of gouty arthritis through network pharmacology, molecular docking and pharmacodynamic study strategies Open

Gelin Xiang, Luyin Yang, Jing Qin, Shaohui Wang, Yi Zhang , et al. · 2024

Recent clinical studies have confirmed the effectiveness of Qianhua Gout Capsules (QGC) in the treatment of gouty arthritis (GA). However, the specific regulatory targets and mechanisms of action of QGC are still unclear. To address this g…

Iterative singular tube hard thresholding algorithms for tensor recovery Open

Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin · 2024

Due to the explosive growth of large-scale data sets, tensors have been a vital tool to analyze and process high-dimensional data. Different from the matrix case, tensor decomposition has been defined in various formats, which can be furth…

Early concentrate starter introduction induces rumen epithelial parakeratosis by blocking keratinocyte differentiation with excessive ruminal butyrate accumulation Open

Kai Zhang, Yali Zhang, Jing Qin, Haining Zhu, Ning Liu , et al. · 2023

NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos Open

Ziyu Yang, Sucheng Ren, Zongwei Wu, Nanxuan Zhao, Junle Wang , et al. · 2023

Non-photorealistic videos are in demand with the wave of the metaverse, but lack of sufficient research studies. This work aims to take a step forward to understand how humans perceive non-photorealistic videos with eye fixation (\ie, sali…

SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator Open

Zhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin , et al. · 2023

In this paper, we propose a novel network, SVDFormer, to tackle two specific challenges in point cloud completion: understanding faithful global shapes from incomplete point clouds and generating high-accuracy local structures. Current met…

Deep learning-based software and hardware framework for a noncontact inspection platform for aggregate grading Open

Jing Qin, Jiabao Wang, Tianjie Lei, Geng Sun, Jianwei Yue , et al. · 2023

Due to the problem of complex aggregate stacking and adhesion, current construction site aggregate grade detection relies on traditional screening methods and single digital image processing technology, which causes inefficiency and segmen…

Iterative hard thresholding for low CP-rank tensor models Open

Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin · 2021

Recovery of low-rank matrices from a small number of linear measurements is now well-known to be possible under various model assumptions on the measurements. Such results demonstrate robustness and are backed with provable theoretical gua…

Single Image Dehazing Using Sparse Contextual Representation Open

Jing Qin, Liang Chen, Jian Xu, Wenqi Ren · 2021

In this paper, we propose a novel method to remove haze from a single hazy input image based on the sparse representation. In our method, the sparse representation is proposed to be used as a contextual regularization tool, which can reduc…

Hand Gesture Recognition Based on a Nonconvex Regularization Open

Jing Qin, Joshua Ashley, Biyun Xie · 2021

Recognition of hand gestures is one of the most fundamental tasks in human-robot interaction. Sparse representation based methods have been widely used due to their efficiency and low demands on the training data. Recently, nonconvex regul…

Regularized Kaczmarz Algorithms for Tensor Recovery Open

Xuemei Chen, Jing Qin · 2021

Tensor recovery has recently arisen in a lot of application fields, such as transportation, medical imaging and remote sensing. Under the assumption that signals possess sparse and/or low-rank structures, many tensor recovery methods have …

Stochastic greedy algorithms for multiple measurement vectors Open

Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer , et al. · 2020

Sparse representation of a single measurement vector (SMV) has been explored in a variety of compressive sensing applications. Recently, SMV models have been extended to solve multiple measurement vectors (MMV) problems, where the underlyi…

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization Open

Jing Qin, Harlin Lee, T. Jocelyn, Lucas Drumetz, Jocelyn Chanussot , et al. · 2020

International audience

Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery Open

Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin · 2019

Low-rank tensor recovery problems have been widely studied in many applications of signal processing and machine learning. Tucker decomposition is known as one of the most popular decompositions in the tensor framework. In recent years, re…

Task-Related EEG Source Localization via Graph Regularized Low-Rank Representation Model Open

Feng Liu, Jay Michael Rosenberger, Jing Qin, Yifei Lou, Shouyi Wang · 2018

To infer brain source activation patterns under different cognitive tasks is an integral step to understand how our brain works. Traditional electroencephalogram (EEG) Source Imaging (ESI) methods usually do not distinguish task-related an…

Stochastic Greedy Algorithms For Multiple Measurement Vectors Open

Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer , et al. · 2017

Sparse representation of a single measurement vector (SMV) has been explored in a variety of compressive sensing applications. Recently, SMV models have been extended to solve multiple measurement vectors (MMV) problems, where the underlyi…

s-SMOOTH: Sparsity and Smoothness Enhanced EEG Brain Tomography Open

Ying Li, Jing Qin, Yue-Loong Hsin, Stanley Osher, Wentai Liu · 2016

EEG source imaging enables us to reconstruct current density in the brain from the electrical measurements with excellent temporal resolution (~ ms). The corresponding EEG inverse problem is an ill-posed one that has infinitely many…

Graph fractional-order total variation EEG source reconstruction Open

Ying Li, Jing Qin, Stanley Osher, Wentai Liu · 2016

EEG source imaging is able to reconstruct sources in the brain from scalp measurements with high temporal resolution. Due to the limited number of sensors, it is very challenging to locate the source accurately with high spatial resolution…

A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity Open

Li Fang, Stanley Osher, Jing Qin, Ming Yan · 2016

Research on Image Encryption and Mapping Algorithm Based on Fuzzy Entropy Thresholding and R Weighted Mean Algorithm Open

Yiping Lu, Jing Qin, Yunlong Ye · 2015

In this paper, we prompt a new algothim based on fuzzy entropy thresholding and R weighted mean algorithm for the image encryption and mapping.The image was divided into the upper and lower blocks, making the encryption factor associate wi…

Automatic Prior Shape Selection for Image Segmentation Open

Weihong Guo, Jing Qin, Sibel Tarı · 2015

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