Li Xu

ORCID: 0000-0002-9940-419X
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About
Contact & Profiles
Research Areas
  • Image and Video Quality Assessment
  • Advanced Image Fusion Techniques
  • Advanced Measurement and Detection Methods
  • Advanced Image Processing Techniques
  • Anomaly Detection Techniques and Applications
  • Image Enhancement Techniques
  • Image Processing Techniques and Applications
  • Color perception and design
  • Advanced Vision and Imaging
  • COVID-19 and Mental Health
  • Health and Well-being Studies
  • Infrared Target Detection Methodologies
  • Advanced Multi-Objective Optimization Algorithms
  • Educational Technology and Pedagogy
  • Advanced Neural Network Applications
  • Digital Imaging for Blood Diseases
  • Resilience and Mental Health
  • Child Abuse and Trauma
  • Video Coding and Compression Technologies
  • Identification and Quantification in Food
  • Probabilistic and Robust Engineering Design
  • Smart Grid and Power Systems
  • Child and Adolescent Psychosocial and Emotional Development
  • Mental Health Research Topics
  • Environmental Quality and Pollution

Northwestern Polytechnical University
2012-2025

Peng Cheng Laboratory
2023-2024

Communication University of China
2017-2023

Jiangsu University of Science and Technology
2023

Hefei University of Technology
2021

Shanghai Jiao Tong University
2021

Shanghai Normal University
2020

Chongqing University
2019

Beijing Institute of Technology
2010-2014

10.1109/icassp49660.2025.10889005 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

Flight safety is of vital importance to the aviation industry. As one most typical security events, hard landing extremely concerned by airlines and related studies have received extensive attention in recent years. However, existing regression or risk based models either suffers from low prediction accuracy, cannot provide good interpretability, making themselves impractical real applications. To solve these problems, this paper we propose CurveCluster: a curve clustering-based approach...

10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00141 article EN 2019-08-01

Image quality assessment (IQA) is constantly innovating, but there are still three types of stickers that have not been resolved: the "content sticker" — limitation training set, "annotation subjective instability in opinion scores and "distortion disordered distortion settings. In this paper, a No-Reference Quality Assessment (NR IQA) approach proposed to deal with problems. For sticker", we introduce idea pairwise comparison generate largescale ranking set pre-train network; absolute...

10.23919/jcc.2023.00.102 article EN China Communications 2023-05-11

The paper presents a No-Reference quality assessment algorithm for UHD videos based on HEVC encoded. directly extracts the specific video characteristics from bitstream, and establishes mathematical model between final through linear regression, so as to realize objective evaluation of quality. three features: quantization parameters measurement compression damage, number CTU different sizes (8×8 & 32×32) numbers SAO blocks. experimental results show that obtained these have good correlation...

10.1109/icsai.2017.8248490 article EN 2017-11-01

Abstract We trained 2 deep neural networks to identify whether the images with high resolution in dataset provided by COMAP contain any Asian giant hornet. divide classification problem into two subproblems: feature extraction, and image classification. In order reduce impact of sample imbalance, we apply flipping Borderline-SMOTE methods for data augmentation first, then training set validation (testing set). Next, utilize auto-encoder collect key features testing loss dips 0.0274 after...

10.1088/1742-6596/1952/2/022041 article EN Journal of Physics Conference Series 2021-06-01

10.1504/ijceell.2023.10036977 article EN International Journal of Continuing Engineering Education and Life-Long Learning 2021-04-08

This paper constructed a new model by integrating the product design factors into Technology Acceptance Model (TAM), which aimed to investigate relationship between elements of household blood glucose meter and use intention elderly users. 184 valid samples were collected software SPSS 23.0 SPSSAU online used test hypotheses. The results are shown as below: (1) Older people's perceived usefulness (PU) ease (PEOU) toward has significantly positive effect on their (UT); usefulness(PU); (2)...

10.54097/hset.v44i.7291 article EN cc-by-nc Highlights in Science Engineering and Technology 2023-04-13

Color is one of the most important visual elements in image. When geometric characteristics image including size, direction, scale, translation and rotation changes, color obvious, credible stable features that remains same. This paper based on damage measurement calculation image, distorting images with different to degrees. Respectively subjective evaluation objective algorithm, are compared corresponding original images. Through a large number experiments statistical analysis, we obtain...

10.1109/itnec.2017.8284799 article EN 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) 2017-12-01
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