Haoyuan Zhang

ORCID: 0000-0002-0629-9096
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About
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Research Areas
  • Robotics and Sensor-Based Localization
  • Genetic and phenotypic traits in livestock
  • Genetic Mapping and Diversity in Plants and Animals
  • Indoor and Outdoor Localization Technologies
  • RNA modifications and cancer
  • Robotic Path Planning Algorithms
  • Cancer-related molecular mechanisms research
  • Software Engineering Research
  • Logic, programming, and type systems
  • Earthquake Detection and Analysis
  • Advanced Software Engineering Methodologies
  • Image Enhancement Techniques
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Energy, Environment, Economic Growth
  • Data Management and Algorithms
  • Seismology and Earthquake Studies
  • Health, Environment, Cognitive Aging
  • Optical measurement and interference techniques
  • earthquake and tectonic studies
  • Genetic diversity and population structure
  • Advanced Vision and Imaging
  • Muscle Physiology and Disorders
  • Animal Genetics and Reproduction
  • Multimodal Machine Learning Applications

Northwest Normal University
2025

Beihang University
2019-2025

Northwest A&F University
2024

Sichuan University
2024

Southwest University
2021-2024

Kunming University of Science and Technology
2024

Yancheng First People's Hospital
2024

Nantong University
2024

Nanyang Technological University
2019-2023

Illinois Institute of Technology
2023

Addressing climate change and promoting social justice are crucial sustainable development goals. However, the quantitative assessment of how energy transition policies impact remains a significant challenge. To address this gap, we develop novel Energy Transition Social Justice Framework (ETSJF) that integrates four dimensions (energy supply, demand, procedural justice, distributive justice) three perspectives (individual, group-organizational, society). The ETSJF index is constructed to...

10.3390/systems13030201 article EN cc-by Systems 2025-03-14

Enabling long-term operation during day and night for collaborative robots requires a comprehensive understanding of the unstructured environment. Besides, in dynamic environment, must be able to recognize objects collaboratively build global map. This paper proposes novel approach mapping based on multimodal environmental perception. For each mission, first apply heterogeneous sensor fusion model detect humans separate them acquire static observations. Then, is performed estimate relative...

10.1109/icra40945.2020.9197072 article EN 2020-05-01

Skeletal muscle myogenesis is a sophisticated process controlled by genetic and epigenetic regulators. In animals, one of the key enzymes for DNA demethylation 5-methylcytosine TET2. Although TET2 essential development, mechanisms which regulates myogenesis, particularly implication stem cells, remains unclear. present study, we employed knockout mouse model to investigate function in development regeneration. We observed that deficiency caused impaired cell proliferation differentiation,...

10.1038/s41420-022-01041-1 article EN cc-by Cell Death Discovery 2022-04-30

Extrinsic calibration between LiDAR-Camera and LiDAR-LiDAR has been researched extensively, because it is the foundation for sensor fusion. Meanwhile, many projects are open-sourced significantly promote related research. However, limited solutions can unify repetitive scanning non-repetitive 3D LiDAR, sparse dense visual thermal camera. Currently, to achieve that, we normally need use different targets extract features combinations. Sometimes, human intervention required locate target. It...

10.1109/iv55152.2023.10186657 article EN 2022 IEEE Intelligent Vehicles Symposium (IV) 2023-06-04

The predicting accuracy of geomagnetic field is a major factor influencing magnetic anomaly detection, navigation and geomagnetism. limitations current methods consist complex model, large number parameters, method solving parameters with high complexity low forecast during disturbed days. In this paper we explore deep learning for forecasting that adopts structure recurrent neural networks (RNN) based on long-short term memory (LSTM). This LSTM RNN includes analyzing the characteristics...

10.1109/icares.2018.8547087 article EN 2018-09-01

Hand, foot and mouth disease (HFMD) is the highest incidence of infectious diseases in China. Shantou one most infected cities. Therefore, it necessary for us to understand epidemic characteristics distribution trend HFMD Shantou. The purpose this study investigate spatial epidemiological analyse its autocorrelation. We collated summarised data from 2010 2015. SaTScan software Moran's I were used correlation HFMD, results presented ArcMap. was a seasonal trend, mainly concentrating during...

10.1186/s12889-019-7329-5 article EN cc-by BMC Public Health 2019-07-24

Simultaneous Localization and Mapping (SLAM) is moving towards a robust perception age. However, LiDAR-and visual- SLAM may easily fail in adverse conditions (rain, snow, smoke fog, etc.). In comparison, based on 4D Radar, thermal camera IMU can work robustly. But only few literature be found. A major reason the lack of related datasets, which seriously hinders research. Even though some datasets are proposed radar past four years, they mainly designed for object detection, rather than SLAM....

10.1109/itsc57777.2023.10422606 article EN 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) 2023-09-24

SUMMARY The scientific process of earthquake forecasting involves estimating the probability and intensity earthquakes in a specific area within certain timeframe, based on seismic activity features observational data. Among various methodologies, epidemic-type aftershock sequence (ETAS) models, rooted empirical laws, stand as widely used tools for forecasting. In this study, we introduce CL-ETAS model, novel approach that integrates convolutional long short-term memory (ConvLSTM), deep...

10.1093/gji/ggae349 article EN cc-by Geophysical Journal International 2024-09-25

Abstract In adult skeletal muscle, satellite cells are in a quiescent state, which is essential for the future activation of muscle homeostasis and regeneration. Multiple studies have investigated cell proliferation differentiation, but molecular mechanisms that safeguard quiescence remain largely unknown. this study, we purposely activated dormant by using various stimuli captured vivo-preserved features from to transitions. We found retinoic acid signaling was required maintenance....

10.1038/s41419-022-05284-9 article EN cc-by Cell Death and Disease 2022-09-29

Abstract Muscle stem cells (MuSCs) are essential for skeletal muscle development and regeneration, ensuring integrity normal function. The myogenic proliferation differentiation of MuSCs orchestrated by a cascade transcription factors. In this study, we elucidate the specific role factor 12 (Tcf12) in regeneration based on loss-of-function studies. Muscle-specific deletion Tcf12 cause weight loss owing to reduction myofiber size during development. Inducible specifically adult delayed...

10.1038/s42003-022-04176-0 article EN cc-by Communications Biology 2022-11-09

Both 3D mmWave Radar (3D: <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$x, y, z$</tex> ) and thermal camera are robust in harsh environments. Fusing them is beneficial for V2X road side units unmanned vehicles to operate all-weather conditions. To fuse the two sensors, accurate extrinsic calibration indispensable. However, limited literatures can be found, since radar pushed into market just a short period. Most research focused on 2D (2D:...

10.1109/itsc55140.2022.9922522 article EN 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) 2022-10-08

Pulmonary embolism (PE) and other pulmonary vascular diseases, have been found associated with the changes in arterial morphology. To detect changes, we propose a novel, fully automatic method that can extract tree computed tomographic angiography (CTPA) images. The approach is based on fuzzy connectedness framework, combined 3D vessel enhancement Harris Corner detection to achieve accurate segmentation. effectiveness robustness of validated clinical datasets consisting 10 CT scans (6...

10.1080/24699322.2019.1649077 article EN cc-by Computer Assisted Surgery 2019-08-10

The Boer goat is one of the top meat breeds in modern animal husbandry and has attracted widespread attention for its unique growth performance. However, genetic basis muscle development remains obscure. In this study, we identified specific structural variants based on genome-wide selection signals analyzed molecular heredity related candidate genes development. A total 9 959 autosomal copy number variations (CNVs) were through signal analysis 127 genomes. Specifically, confirmed that...

10.24272/j.issn.2095-8137.2022.384 article EN 动物学研究 2023-01-01

Mediastinal emphysema is a condition in which air enters the mediastinum between connective tissue spaces within pleura for variety of reasons. It can be spontaneous or secondary to chest trauma, esophageal perforation, medically induced factors,

10.12998/wjcc.v12.i4.859 article EN World Journal of Clinical Cases 2024-01-24

10.1016/j.compeleceng.2018.10.016 article EN Computers & Electrical Engineering 2018-11-02

Accurate global localization is an essential ingredient for autonomous mobile robots (AMRs) operating in enclosed or partially repetitive environments (e.g., office corridors, industrial warehouses, transportation centers). In such environments, the Global Navigation Satellite System (GNSS) signals are unreliable severely degraded. The highly ambiguous structures challenging scenarios would also lead ordinary geometric feature-based LiDAR/visual methods to fail. ambient magnetic field (MF)...

10.1109/icra48891.2023.10161479 article EN 2023-05-29

The lactation character of dairy goats is the most important characteristic, and milk protein an index to evaluate quality. Casein accounts for more than 80% total in goat main component protein. Using GMECs (goat mammary epithelial cells) as research object, CHECK2 vector CSN1S1 gene overexpression pcDNA 3.1 were constructed, mimics miR-2284b interfering RNA synthesized. PCR, RT–qPCR, a dual luciferase activity detection system, EdU, CCK8, cell apoptosis ELISA detection, we explored...

10.1080/10495398.2024.2334725 article EN cc-by Animal Biotechnology 2024-04-16

This study aimed to explore the genetic basis of muscle development in goats. The transcriptome dataset for differentially expressed lncRNAs (DELs) and genes (DEGs) goat at different developmental stages were obtained using RNA-Seq. A total 447,806,481 587,559,465 clean reads longissimus dorsi Dazu black goats between 75d embryonic stage 1d after birth generated through Illumina paired-end sequencing, their mapping rates 89.82 90.99%, respectively. Moreover, 4517 DEGs 648 DELs identified,...

10.1080/10495398.2021.2020804 article EN Animal Biotechnology 2022-01-05

Boer goats, as kemp in meat-type are selected and bred from African indigenous goats under a long period of artificial selection. Their advantages multiple economic traits, particularly their plump growth, have attracted worldwide attention. The current study displayed the genome-wide selection signature analyses South goat (AF), (BH), Australian (AS) to investigate hereditary basis different stages. Four methods (principal component analysis, nucleotide diversity, linkage disequilibrium...

10.3390/ani12111356 article EN cc-by Animals 2022-05-26

In domestic goats, wattles often appear in even numbers, mostly on the neck and a few under ear. Goat wattle is composed of ectopic cartilage tissue covered by skin was reported as dominant inheritance. Thirty-eight goats from two Southwest Chinese breeds were studied to elucidate genetic basis phenotype goat. Their genomes sequenced for wide-genome selective sweep analysis (WGSA) genome-wide association study (GWAS). The WGSA results revealed 500 candidate genes identified fixation index π...

10.1111/age.13235 article EN Animal Genetics 2022-06-24

Repetitive environment is a challenging scenario for mobile robot global localization due to its highly similar structures and lack of distinctive features. Existing solutions in such environments rely heavily on pre-installed infrastructures, which are neither flexible nor cost-effective. Besides, few the previous research have been focused implementation infrastructure-free approaches repetitive scenarios. Thus, this paper serves as survey investigate problem with low-cost efficient...

10.1109/iecon43393.2020.9255046 article EN IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society 2020-10-18
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