Xin Jin

ORCID: 0000-0003-2211-2006
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About
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Research Areas
  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Image Enhancement Techniques
  • Remote-Sensing Image Classification
  • Advanced Image Processing Techniques
  • Advanced Memory and Neural Computing
  • Generative Adversarial Networks and Image Synthesis
  • Anomaly Detection Techniques and Applications
  • Advanced Battery Technologies Research
  • Machine Learning in Bioinformatics
  • Fungal Biology and Applications
  • Digital Media Forensic Detection
  • Neural dynamics and brain function
  • Neural Networks and Applications
  • Mycorrhizal Fungi and Plant Interactions
  • Image Processing Techniques and Applications
  • Neuroscience and Neural Engineering
  • Advanced machining processes and optimization
  • Infrared Target Detection Methodologies
  • Genomics and Phylogenetic Studies
  • Network Security and Intrusion Detection
  • Advanced Measurement and Metrology Techniques
  • Traffic Prediction and Management Techniques
  • Remote Sensing and Land Use
  • Advanced Surface Polishing Techniques

Foshan Hospital of TCM
2025

Yunnan University
2016-2025

BGI Research
2025

Botswana Geoscience Institute
2025

Toyota Motor Corporation (Switzerland)
2025

Arizona State University
2025

China Tobacco
2024

Jiangsu University of Science and Technology
2021-2024

Sericultural Research Institute
2024

Chinese Academy of Agricultural Sciences
2024

SpiNNaker is a novel chip - based on the ARM processor which designed to support large scale spiking neural networks simulations. In this paper we describe some of features that permit chips be connected together form scalable massively-parallel systems. Our eventual goal able simulate consisting 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">9</sup> neurons running in dasiareal timepsila, by mean similarly sized collection biological would...

10.1109/ijcnn.2008.4634199 article EN 2008-06-01

10.1016/j.jmgm.2017.07.015 article EN Journal of Molecular Graphics and Modelling 2017-07-19

10.1016/j.engappai.2022.105006 article EN Engineering Applications of Artificial Intelligence 2022-06-10

In the actual use of a parallel battery pack in electric vehicles (EVs), current distribution each branch will be different due to inconsistence characteristics cell. If is approximately calculated by total divided number branches, there large error between and real current. Adding sensors measure not practical because high cost. Accurate estimation currents can give safety warning time when batteries EVs are seriously inconsistent. This paper puts forward method estimate correct based on...

10.1016/j.geits.2022.100029 article EN cc-by Green Energy and Intelligent Transportation 2022-09-01

Remote sensing images are the product of information obtained by various sensors, and higher resolution image, more it contains. Therefore, improving remote image is conducive to identify earth resources from image. We present a multiple branch panchromatic restoration network based on convolutional neural improve spatial spectral simultaneously, named MBPRR-Net. Specifically, we adopt multi-branch structure extract abundant features, utilize feature channel mixing block enhance interaction...

10.1109/jstars.2024.3351854 article EN cc-by-nc-nd IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2024-01-01

Designing protein mutants with both high stability and activity is a critical yet challenging task in engineering. Here, we introduce PRIME, deep learning model, which can suggest improved without any prior experimental mutagenesis data for the specified protein. Leveraging temperature-aware language modeling, PRIME demonstrated superior predictive ability compared to current state-of-the-art models on public dataset across 283 assays. Furthermore, validated PRIME’s predictions five...

10.1126/sciadv.adr2641 article EN cc-by-nc Science Advances 2024-11-27

SpiNNaker is a massively parallel architecture with more than million processing cores that can model up to 1 billion spiking neurons in biological real time. Here, we offer an overview of our research project and describe the first experiments these test chips running based on Eugene Izhikevich's model. Note we're not targeting artificial neural networks (such as perceptrons or multilayer networks) were inspired by, but don't model, biologically plausible systems.

10.1109/mcse.2010.112 article EN Computing in Science & Engineering 2010-09-01

Ultrasonic Impact Treatment (UIT) is an effective technique for surface refinement and residual stress reduction, which widely used in welding. This study investigates UIT-assisted Wire Arc Additive manufacturing (WAAM). The stress, grain morphology mechanical properties of post-UIT as-deposited samples are studied. result demonstrates that the UIT has a significant influence on decrease stress. Moreover, much lower than samples. fabricated by WAAM have novel, bamboo-like distribution...

10.3390/met8110934 article EN cc-by Metals 2018-11-12

In this present study, we assembled and analyzed the mitogenomes of two asymbiotic six ectomycorrhizal Amanita species based on next-generation sequencing data. The size eight ranged from 37,341 bp to 137,428 bp, considered introns be one main factors contributing variation Amanita. cox1 gene experienced frequent gain/loss events in Amanita; intron position class cox1P386 was lost species. addition, had more repetitive sequences fewer intergenic than their mitogenomes. Large-scale...

10.3389/fmicb.2020.01382 article EN cc-by Frontiers in Microbiology 2020-06-19
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