Xuechen Li

ORCID: 0000-0003-3920-4329
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About
Contact & Profiles
Research Areas
  • Reservoir Engineering and Simulation Methods
  • Drilling and Well Engineering
  • Hydraulic Fracturing and Reservoir Analysis
  • Smart Agriculture and AI
  • Banana Cultivation and Research
  • RNA modifications and cancer
  • Advanced Photocatalysis Techniques
  • Nanoplatforms for cancer theranostics
  • Advanced battery technologies research
  • Advanced Fluorescence Microscopy Techniques
  • Hydrocarbon exploration and reservoir analysis
  • Landslides and related hazards
  • Granular flow and fluidized beds
  • Probiotics and Fermented Foods
  • Ginger and Zingiberaceae research
  • Cassava research and cyanide
  • RNA and protein synthesis mechanisms
  • Supercapacitor Materials and Fabrication
  • Medicinal Plants and Neuroprotection
  • Adversarial Robustness in Machine Learning
  • Seismic Imaging and Inversion Techniques
  • Luminescence and Fluorescent Materials
  • Spectroscopy and Chemometric Analyses
  • Topic Modeling
  • Image Processing and 3D Reconstruction

Guangxi University
2022-2024

University of Minnesota
2024

Oil and Gas Center
2024

Ministry of Natural Resources
2024

Tianjin University of Technology
2023

China University of Petroleum, Beijing
2021-2022

Stanford University
2021

State Key Laboratory of Crystal Materials
2015

Shandong University
2015

University of Hong Kong
2014

AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and adaptable to wide range downstream tasks. We call these foundation underscore their critically central yet incomplete character. This report provides thorough account opportunities risks models, ranging from capabilities language, vision, robotics, reasoning, human interaction) technical principles(e.g., model architectures, training procedures, data, systems,...

10.48550/arxiv.2108.07258 preprint EN cc-by arXiv (Cornell University) 2021-01-01

Herein, we reported a red-emitting probe (E)-4-(2-(8-hydroxy-julolidine-9-yl)vinyl)-1-methylpyridin-1-ium iodide (HJVPI) on rotor mechanism with an ultrahigh signal-to-noise ratio. HJVPI could give high-fidelity fluorescent images of mitochondria in living immortalized and normal cells be suitable for IR excitation source two-photon microscopy various sources confocal microscopy. As rotor, its single/two-photon fluorescence intensities directly depended environmental viscosity. And, as...

10.1021/acs.analchem.5b02807 article EN Analytical Chemistry 2015-11-20

Farmers must accurately and promptly identify sugarcane leaf diseases with identical symptoms. RGB images have a beneficial function in disease identification. Nevertheless, complex backgrounds symptoms can significantly reduce the recognition accuracy robustness. To overcome these challenges, SLViT hybrid network is presented, which transformer encoder converted to flexible plug-in (LViT) that subsequently integrated into several locations of lightweight CNN architecture (SHDC). initially...

10.1016/j.jksuci.2022.09.013 article EN cc-by-nc-nd Journal of King Saud University - Computer and Information Sciences 2022-09-21

Summary Domestic and foreign scholars have conducted extensive research on applying machine learning to post-fracture production prediction in recent decades made great achievements Bakken, Eagle Ford, Marcellus, other large-scale oil gas fields. However, few studies focus small-sample of fractured wells, which is urgently needed small-scale newly developed reservoirs. In this work, we propose a novel framework based multitask (MTL), including multitype data collection, task selection,...

10.2118/209231-pa article EN SPE Journal 2022-02-11

Herbal medicine Semen Persicae is widely used to treat blood stasis in Chinese and other oriental folk medicines. Although little known about the effects of its active compounds on neuron differentiation, our pilot study showed that extract promoted neurite outgrowth rat dopaminergic PC12 cells. In present study, we developed a bioactivity-guided fractionation procedure for characterization neurotrophic activity extract. The resultant fractions were assayed cells based microscopic...

10.1155/2014/306857 article EN cc-by BioMed Research International 2014-01-01

To obtain the macroscale Young’s modulus of glutenite under gravel inclusions, a numerical simulation prediction based on mesoscale characteristics was carried out. Firstly, micron indentation test used to meso-mechanical parameters and matrix in ensure reasonableness parameter settings; secondly, two-dimensional physical model generation method secondary development Python put forward; then, variation rule different sizes, particle size ratios, content were analyzed using finite element...

10.3390/pr12010185 article EN Processes 2024-01-14

Abstract The human microbiome holds tremendous potential for generating specialized peptides, specifically ribosomally synthesized and post-translationally modified peptides (RiPPs), significantly affecting health by mediating interactions with other microbes the host. However, capacity of our to produce these their links are poorly understood. This study systematically analyzes 306,481 microbiota-associated genomes, uncovering a broad array yet-to-be-discovered RiPPs. These RiPPs...

10.1101/2024.07.16.603675 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2024-07-16

ABSTRACT: Accurate shear wave velocity (Vs) is essential for determining reservoir rock mechanical parameters and pore structure of tight oil, whereas it usually not measured in well logging due to high costs. The simple conversion compressional (Vp) Vs introduces significant uncertainty calculation results. To this end, we propose construct an efficient robust prediction model using Gated Recurrent Unit (GRU) network, which could deeply mine connect the information sequence other sequences...

10.56952/arma-2022-0358 article EN 50th U.S. Rock Mechanics/Geomechanics Symposium 2022-06-26
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