X.F. Liu

ORCID: 0009-0000-6857-9854
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About
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Research Areas
  • Aluminum Alloys Composites Properties
  • Aluminum Alloy Microstructure Properties
  • Welding Techniques and Residual Stresses
  • Advanced battery technologies research
  • Magnesium Alloys: Properties and Applications
  • Non-Destructive Testing Techniques
  • Advanced Battery Technologies Research
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Extraction and Separation Processes
  • Advanced Battery Materials and Technologies
  • Infrastructure Maintenance and Monitoring
  • Anomaly Detection Techniques and Applications
  • Helicobacter pylori-related gastroenterology studies
  • Speech Recognition and Synthesis
  • Nanopore and Nanochannel Transport Studies
  • Linguistic Variation and Morphology
  • Advanced ceramic materials synthesis
  • Thermodynamic and Structural Properties of Metals and Alloys
  • Hand Gesture Recognition Systems
  • Solidification and crystal growth phenomena
  • Additive Manufacturing Materials and Processes
  • Material Dynamics and Properties
  • X-ray Diffraction in Crystallography
  • MXene and MAX Phase Materials

Guizhou University
2024-2025

Shandong University
2007-2024

Heilongjiang Academy of Sciences
2024

Shandong Institute of Commerce & Technology
2017-2018

University of Jinan
2018

10.1016/j.matchar.2008.01.020 article EN Materials Characterization 2008-02-14

Hashing and quantization have greatly succeeded by benefiting from deep learning for large-scale image retrieval. Recently, product methods attracted wide attention. However, representation capability of codewords needs to be further improved. Moreover, since the number in codebook depends on experience, is usually imbalanced, which leads redundancy or insufficiency reduces retrieval performance. Therefore, this paper, we propose a novel method, named Entropy Optimized Weighted Product...

10.1109/tip.2024.3359066 article EN IEEE Transactions on Image Processing 2024-01-01

The proliferation of videos captured by sensor-based cameras has driven the application human action recognition (HAR) task. As fundamental video in human-computer interaction devices, HAR aims to identify clips, where lightweight networks are crucial. In this field, convolutional neural and transformers have shown great potential for feature representation Euclidean space, but ignoring more flexible non-Euclidean manifolds. To address issue, we interpret a as set graph nodes, propose Video...

10.1109/jsen.2024.3380321 article EN IEEE Sensors Journal 2024-03-27

Abstract Video transformers achieve superior performance in video recognition. Despite the recent advances transformers, they still require substantial computation and memory resources. To cater for efficiency, a kernel‐based transformer is proposed, including: (1) new formulation of via kernel learning presented to better understand individual components it; (2) lightweight Kernel‐based spatial–temporal multi‐head self‐attention block explored learn compact joint feature; (3) an...

10.1049/ell2.13215 article EN cc-by-nc-nd Electronics Letters 2024-05-01

10.1109/icma61710.2024.10632964 article EN 2022 IEEE International Conference on Mechatronics and Automation (ICMA) 2024-08-04

Chlorogenic acid (CGA), as a polyphenol abundant in daily diet, exerted various intestinal functions. However, the material basis of its bioactivities was still unclear. Our study investigated gastrointestinal distribution CGA using UPLC-MS/MS and explored main drivers leading to different metabolic fates metabolites. After oral administration 50 mg/kg bw mice, sulfated metabolites were mainly determined small intestine. Protocatechuic acid, catechol, 3-hydroxyphenylpropionic found copious...

10.26599/fshw.2024.9250312 article EN cc-by-nc-nd Deleted Journal 2024-11-01

The main bottleneck of rechargeable aqueous zinc batteries (AZBs) is their limited cycle lifespans stemming from the unhealthy electrolyte bulk and fragile interface, especially in absence dynamic protection mechanism between them. To overcome this limitation, benefitting synergistic physical chemical properties, chitin nanocrystals (ChNCs) are employed as superior colloid to bridge interfacial chemistry for ultra‐long lifespan AZBs. This unique strategy not only enables continuous...

10.1002/ange.202418524 article EN Angewandte Chemie 2024-11-25

This paper aims to provide an overview of our current understanding depressors by offering a comparative perspective the types from Bantu, Khoisan and Chinese Wu. Depressor effects in Bantu/Khoisan, on one hand, Chinese, other, are hardly dealt with together leaving more holistic approach untapped. begins bridge that gap bringing findings establish full scope depressor effects, which future analyses can then build on. It is systematically observed these languages not restricted voicing only....

10.5842/54-0-774 article EN cc-by Stellenbosch Papers in Linguistics Plus 2018-10-01
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