Xin Guo

ORCID: 0000-0003-0830-0860
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Research Areas
  • Advanced Neural Network Applications
  • Water Quality Monitoring Technologies
  • Underwater Vehicles and Communication Systems
  • Surface Roughness and Optical Measurements
  • Fish biology, ecology, and behavior
  • Retinal Imaging and Analysis
  • Digital Transformation in Industry
  • Geotechnical Engineering and Underground Structures
  • Geotechnical Engineering and Analysis
  • Geotechnical Engineering and Soil Stabilization
  • Advanced Graph Neural Networks
  • Receptor Mechanisms and Signaling
  • Simulation and Modeling Applications
  • Text and Document Classification Technologies
  • Cell Image Analysis Techniques
  • Advanced Radiotherapy Techniques
  • Effects of Vibration on Health
  • Industrial Vision Systems and Defect Detection
  • Gear and Bearing Dynamics Analysis
  • Medical Image Segmentation Techniques
  • Ergonomics and Musculoskeletal Disorders
  • Robotic Mechanisms and Dynamics
  • Underwater Acoustics Research
  • Radiomics and Machine Learning in Medical Imaging
  • Architecture and Computational Design

Yanshan University
2024

Hefei University of Technology
2017-2024

Soonchunhyang University
2023

State Key Laboratory of Turbulence and Complex Systems
2022-2023

Peking University
2013-2023

Beijing Jingshida Electromechanical Equipment Research Institute
2021

North China Electric Power University
2020

China Jiliang University
2017

Shenzhen University
2016

Taishan Medical University
2009

Single-cell cis-regulatory relationships (CRRs) are essential for deciphering transcriptional regulation and understanding the pathogenic mechanisms of disease-associated non-coding variants. Existing computational methods struggle to accurately predict single-cell CRRs due inadequately integrating causal biological principles large-scale data. Here, we present SCRIPT (Single-cell Cis-regulatory Relationship Identifier based on Pre-Trained graph attention networks) that infers from...

10.1101/2025.04.27.650894 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2025-04-30

Accurate pose estimation and localization technology is always a challenge for small underwater robots, since the lighting conditions could limit use of cameras while cramped environments restrict sonars. In nature, some fishes perceive other creatures by sensing weakly changes in their environmental electric field. Inspired such passive sense behavior fish, this letter presents an electro-localization scheme based on short-distance accurate robots. Our includes hardware solution to method....

10.1109/lra.2022.3145094 article EN IEEE Robotics and Automation Letters 2022-01-25

As a key component of the rolling mill, four-row cylindrical roller bearing (FCRB) operates under complex working conditions high speed, temperature, and heavy load. Due to lack an effective temperature test scheme for mill bearings, too can easily lead failure or damage unsteady conditions. To reveal internal distribution law bearings mills solve common problem difficult monitoring in this paper, 1140 mm cold six-high is taken as research object, field calculation model established....

10.3390/s24030914 article EN cc-by Sensors 2024-01-31

10.1016/j.soildyn.2017.06.020 article EN Soil Dynamics and Earthquake Engineering 2017-07-06

This article presents a novel localization scheme for free-swimming small underwater robots in large-scale environment. Accurate technology has always been challenge since the lighting conditions can limit their vision, while multipath interference issue occurring near wall plagues sonars. By contrast, some kinds of fish perceive positions by sensing electric field environment, giving them ability to accurately localize environments. Inspired sense behavior fish, this proposes based on...

10.1109/mra.2022.3202432 article EN IEEE Robotics & Automation Magazine 2022-09-22

Blood vessel appearance is an important indicator for many diagnoses, including diabetes, hypertension, and arteriosclerosis. Vessel edge detection in retinal images very medical image processing. A lot of algorithms have been suggested extracting edges, however, obtaining continuous edges with less over-detection points difficult extraction. In this paper, we propose a novel approach blood by integrating wavelet fractal. First, accurate are extracted employing technique. Then, obtained...

10.1109/bmei.2009.5304836 article EN 2009-01-01

Localization and sensing in the underwater environment has been a significant but difficult problem field of robotics. The lateral line system (LLS) is an essential component localization for most fish. Inspired by LLS, scientists have designed varieties artificial systems (ALLSs) researched their applications. This paper investigates on using ALLS azimuth wide range distance angle, even all directions, between two robotic Specifically, we consider scenario when boxfish with stays still uses...

10.1109/cbs55922.2023.10115306 article EN 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS) 2023-03-24

Large-scale self-supervised pre-training has paved the way for one foundation model to handle many different vision tasks. Most methodologies train a single of certain size at time. Nevertheless, various computation or storage constraints in real-world scenarios require substantial efforts develop series models with sizes deploy. Thus, this study, we propose novel tri-branch training framework, termed as POA (Pre-training Once All), tackle aforementioned issue. Our approach introduces an...

10.48550/arxiv.2408.01031 preprint EN arXiv (Cornell University) 2024-08-02

The surface topography of micro-structures would significantly affect the products quality and industrial performance micro-nano devices <sup>[1]</sup>. In recent years, application in Micro Electro Mechanical Systems (MEMS) integrated circuit is more widely. How to reflect 3D these micro structures accurately measure surface’s parameters precisely as well quickly are becoming a hot research area precision measurement. White-light interference microcopy technology one most widely used...

10.1117/12.2267775 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2017-01-05

Due to the increasing complexity of power grid, SGCC hopes have a computer-aided decision-making scheme for ICT system fault identification. This paper proposes an analysis technology which integrates text classification and image recognition. It aims solve problem that only relying on knowledge reserve personal experience single staff member is often unable analyze judge grid system. In this paper, main work as follows: first, preprocess report data get more easily recognized structured by...

10.1109/icccs49078.2020.9118475 article EN 2022 7th International Conference on Computer and Communication Systems (ICCCS) 2020-05-01

This article proposes a more design-orientated making process with the emerging robotic technologies through “Intelligent Wave Project” (IWP).This research project went three stages including physical experimentation, computational simulation, and design &amp; of installation. The synthesises abstract geometries, Complex System Theory, 3D Print, automatic control protocols. core objective IWP is to achieve self-supporting surface mass from simple rule-based component system that transforms...

10.3311/ppar.10203 article EN cc-by Periodica Polytechnica Architecture 2016-12-22

Balance training is widely used to improve stability, and Achilles tendon vibration an effective method. However, evaluation of progress often relies on Center Pressure (COP) analysis, which can be challenging for non-experts. To provide objective automated assessment, this study explores machine learning techniques. was applied during standing, COP data were collected under various conditions, including eyes open/closed cognitive/non-cognitive tasks. mean velocity analysis revealed higher...

10.2139/ssrn.4555983 preprint EN 2023-01-01

[Purpose] Accurate outline of tumor targets is critical to a high quality radiotherapy plan. Manual segmentation great workload and has strong artificial subjectivity. Using deep learning method assist automatically segmenting target the penetration application intelligence in medicine. [Methods] A 6-layer model Convolution Neural Network (CNN) been constructed by taking advantage different types layers for brain segmentation. This 6 layer CNN (6-CNN) composed three convolution layers, two...

10.1109/icmipe53131.2021.9698882 article EN 2021-11-12
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