Explanipedia

Long-range masked autoencoder for pre-extraction of trajectory features in within-visual-range maneuver recognition Open

F. Jiang, Hutao Cui, Yuqing Li, Minqiang Xu, Rixin Wang · 2025

A Molecular Engineering Slippery Dressing with Minimal Adhesion and Antibacterial Property Open

Xiaohong Chen, Hongxiao Shi, Qiannan Wang, Yunge Liu, He Liu , et al. · 2025

Anomaly Detection Method for Harmonic Reducers with Only Healthy Data Open

Yuqing Li, Linghui Zhu, Minqiang Xu, Yunzhao Jia · 2024

A harmonic reducer is an important component of industrial robots. In practical applications, it is difficult to obtain enough anomaly data from error cases for the supervised training of models. Whether the information contained in regula…

Multilevel guided collaborative task scheduling algorithm of satellite mission aiming at moving target observation Open

Meicheng Li, Xiaoen Feng, Minqiang Xu, Yuqing Li · 2024

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model Open

Di Wang, Meiqi Hu, Jin Yao, Yuchun Miao, Jiaqi Yang , et al. · 2024

Accurate hyperspectral image (HSI) interpretation is critical for providing valuable insights into various earth observation-related applications such as urban planning, precision agriculture, and environmental monitoring. However, existin…

Control Moment Gyroscope Anomaly Detection Based on Sparse Autoencoder Open

Yuxue Zheng, Haijun Dou, Hutao Cui, Minqiang Xu · 2024

The Control Moment Gyroscope (CMG) is an important executing part of spacecraft, and its anomaly detection has a key influence on the reliability of spacecraft. With the rapid growth of the number of spacecraft and telemetry data, data-dri…

MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining Open

Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dongsheng Wang , et al. · 2024

Foundation models have reshaped the landscape of Remote Sensing (RS) by enhancing various image interpretation tasks. Pretraining is an active research topic, encompassing supervised and self-supervised learning methods to initialize model…

MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining Open

Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dongsheng Wang , et al. · 2024

Foundation models have reshaped the landscape of remote sensing (RS) by enhancing various image interpretation tasks. Pretraining is an active research topic, encompassing supervised and self-supervised learning methods to initialize model…

Evaluation of the Vibration Isolation Efficacy of Two Quasi-Zero Stiffness Isolators with Mixed-Connected Structure Open

Hanxuan Wang, Kaiping Yu, Rui Zhao, Minqiang Xu · 2024

A Systematic Literature Review of Maritime Transportation Safety Management Open

Minqiang Xu, Xiaoxue Ma, Yulan Zhao, Weiliang Qiao · 2023

Maritime transportation plays a critical role in global trade, and studies on maritime transportation safety management are of great significance to the sustainable development of the maritime industry. Consequently, there has been an incr…

Deep Finite Volume Method for Partial Differential Equations Open

Jianhuan Cen, Xingyu Chen, Minqiang Xu, Qingsong Zou · 2023

In this paper, we introduce the Deep Finite Volume Method (DFVM), an innovative deep learning framework tailored for solving high-order (order $\geq 2$) partial differential equations (PDEs). Our approach centers on a novel loss function…

Effect of gyroscopic moments on the attitude stability of a satellite in an elliptical orbit Open

Jie Zhao, Xue Zhong, Kaiping Yu, Minqiang Xu · 2023

The gyroscopic moments generated by flywheels or control moment gyroscopes have important applications in spacecraft attitude stability and control. However, most of the current research has focused on the effect of gyroscopic torques on t…

Two types of spectral volume methods for 1-D linear hyperbolic equations with degenerate variable coefficients Open

Minqiang Xu, Yanting yuan, Waixiang Cao, Qingsong Zou · 2022

In this paper, we analyze two classes of spectral volume (SV) methods for one-dimensional hyperbolic equations with degenerate variable coefficients. The two classes of SV methods are constructed by letting a piecewise $k$-th order ($k\ge …

A $C^0$ Linear Finite Element Method for a Second Order Elliptic Equation in Non-Divergence Form with Cordes Coefficients Open

Minqiang Xu, Runchang Lin, Qingsong Zou · 2022

In this paper, we develop a gradient recovery based linear (GRBL) finite element method (FEM) and a Hessian recovery based linear (HRBL) FEM for second order elliptic equations in non-divergence form. The elliptic equation is casted into a…

THUEE system description for NIST 2020 SRE CTS challenge Open

Yu Zheng, Jinghan Peng, Miao Zhao, Yufeng Ma, Min Liu , et al. · 2022

This paper presents the system description of the THUEE team for the NIST 2020 Speaker Recognition Evaluation (SRE) conversational telephone speech (CTS) challenge. The subsystems including ResNet74, ResNet152, and RepVGG-B2 are developed …

Convolutional neural network with Huffman pooling for handling data with insufficient categories: A novel method for anomaly detection and fault diagnosis Open

Yuqing Li, Mingjia Lei, Yao Cheng, Rixin Wang, Minqiang Xu · 2022

The rotating component is an important part of the modern mechanical equipment, and its health status has a great impact on whether the equipment can safely operate. In recent years, convolutional neural network has been widely used to ide…

The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022 Open

Yu Zheng, Jinghan Peng, Yihao Chen, Yajun Zhang, Jialong Wang , et al. · 2022

This paper describes speaker verification (SV) systems submitted by the SpeakIn team to the Task 1 and Task 2 of the Far-Field Speaker Verification Challenge 2022 (FFSVC2022). SV tasks of the challenge focus on the problem of fully supervi…

The SpeakIn System Description for CNSRC2022 Open

Yu Zheng, Yihao Chen, Jinghan Peng, Yajun Zhang, Min Liu , et al. · 2022

This report describes our speaker verification systems for the tasks of the CN-Celeb Speaker Recognition Challenge 2022 (CNSRC 2022). This challenge includes two tasks, namely speaker verification(SV) and speaker retrieval(SR). The SV task…

Relative Equilibrium and Stability of a Three-body Tethered Satellite in an Elliptical Orbit Open

Xue Zhong, Jie Zhao, Kaiping Yu, Minqiang Xu · 2022

This work focuses primarily on the relative equilibrium and stability of a three-body tethered satellite which center of mass moves along an elliptical orbit with arbitrary eccentricity in the central Newtonian field. We only consider the …

End-to-end Saliency Face Detection and Recognition Open

Jingqian Gao, Minqiang Xu, Huan Wang, Ji Zhou · 2022

Face recognition is a long-lasting hot topic in compute vision. The face recognition system mainly includes face detection, alignment and feature extraction. In the forward task, the extracted features are used to measure the similarity be…

An Improved Similarity Trajectory Method Based on Monitoring Data under Multiple Operating Conditions Open

Jiancheng Yin, Yuqing Li, Rixin Wang, Minqiang Xu · 2021

With the complexity of the task requirement, multiple operating conditions have gradually become the common scenario for equipment. However, the degradation trend of monitoring data cannot be accurately extracted in life prediction under m…

Rep Works in Speaker Verification Open

Yufeng Ma, Miao Zhao, Yiwei Ding, Yu Zheng, Min Liu , et al. · 2021

Multi-branch convolutional neural network architecture has raised lots of attention in speaker verification since the aggregation of multiple parallel branches can significantly improve performance. However, this design is not efficient en…

Multi-query multi-head attention pooling and Inter-topK penalty for speaker verification Open

Miao Zhao, Yufeng Ma, Yiwei Ding, Yu Zheng, Min Liu , et al. · 2021

This paper describes the multi-query multi-head attention (MQMHA) pooling and inter-topK penalty methods which were first proposed in our submitted system description for VoxCeleb speaker recognition challenge (VoxSRC) 2021. Most multi-hea…

Poformer: A simple pooling transformer for speaker verification Open

Yufeng Ma, Yiwei Ding, Miao Zhao, Yu Zheng, Min Liu , et al. · 2021

Most recent speaker verification systems are based on extracting speaker embeddings using a deep neural network. The pooling layer in the network aims to aggregate frame-level features extracted by the backbone. In this paper, we propose a…

Fast query-by-example speech search using separable model Open

Yuguang Yang, Yu Pan, Xin Dong, Minqiang Xu · 2021

Traditional Query-by-Example (QbE) speech search approaches usually use methods based on frame-level features, while state-of-the-art approaches tend to use models based on acoustic word embeddings (AWEs) to transform variable length audio…

The SpeakIn System for VoxCeleb Speaker Recognition Challange 2021 Open

Miao Zhao, Yufeng Ma, Min Liu, Minqiang Xu · 2021

This report describes our submission to the track 1 and track 2 of the VoxCeleb Speaker Recognition Challenge 2021 (VoxSRC 2021). Both track 1 and track 2 share the same speaker verification system, which only uses VoxCeleb2-dev as our tra…

A Novel Framework for Anomaly Detection for Satellite Momentum Wheel Based on Optimized SVM and Huffman-Multi-Scale Entropy Open

Yuqing Li, Mingjia Lei, Pengpeng Liu, Rixin Wang, Minqiang Xu · 2021

The health status of the momentum wheel is vital for a satellite. Recently, research on anomaly detection for satellites has become more and more extensive. Previous research mostly required simulation models for key components. However, t…

On the Stability of Periodic Motions of a Two-Body SystemWith Flexible Connection in an Elliptical Orbit Open

Xue Zhong, Jie Zhao, Kaiping Yu, Minqiang Xu · 2021

This paper deals with periodic motions and their stability of a flexible connected two-body system with respect to its center of mass in a central Newtonian gravitational field on an elliptical orbit. Equations of motion are derived in a H…

A New Life Prediction Scheme for Mechanical System with Considering the Mission Profile Switching Open

Jiancheng Yin, Huailiang Zheng, Yuantao Yang, Minqiang Xu · 2020

The life prediction is crucial to guarantee the reliability and safety of the mechanical system. The current prediction methods predict the life only based on the historical usage pattern of the mechanical system, and do not consider the m…

Learn Generalization Feature via Convolutional Neural Network: A Fault Diagnosis Scheme Toward Unseen Operating Conditions Open

Yuantao Yang, Jiancheng Yin, Huailiang Zheng, Yuqing Li, Minqiang Xu , et al. · 2020

In recent years, Convolutional neural networks (CNNs) have achieved start-of-art performance in the fault diagnosis field. If there is no available information on the unseen operating conditions, the model trained on the seen operating con…

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