Zhaoting Liu

ORCID: 0000-0003-4642-8777
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About
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Research Areas
  • Molten salt chemistry and electrochemical processes
  • Distributed Sensor Networks and Detection Algorithms
  • Advanced Adaptive Filtering Techniques
  • Advancements in Battery Materials
  • Structural Health Monitoring Techniques
  • Pluripotent Stem Cells Research
  • Speech and Audio Processing
  • CRISPR and Genetic Engineering
  • Target Tracking and Data Fusion in Sensor Networks
  • Indoor and Outdoor Localization Technologies
  • Blind Source Separation Techniques
  • Advanced Algorithms and Applications
  • Control Systems and Identification
  • Advanced Photocatalysis Techniques
  • Sperm and Testicular Function
  • Advanced Battery Technologies Research
  • Advanced Battery Materials and Technologies
  • Direction-of-Arrival Estimation Techniques
  • Sparse and Compressive Sensing Techniques
  • Metallurgical Processes and Thermodynamics
  • Copper-based nanomaterials and applications
  • Renal and related cancers
  • Developmental Biology and Gene Regulation
  • Congenital heart defects research
  • Genomics and Chromatin Dynamics

Hangzhou Dianzi University
2015-2025

Electric Power Research Institute
2024

East China University of Science and Technology
2019-2024

State Grid Corporation of China (China)
2024

Southern Medical University
2017-2024

Chongqing University
2023-2024

Sichuan University
2022-2023

Chongqing Jiaotong University
2023

Qingdao University
2022-2023

North Minzu University
2020-2022

Distributed estimation over networks has received much attention in recent years due to its broad applicability. Many signals nature present high level of sparsity, which contain only a few large coefficients among many negligible ones. In this paper, we address the problem in-network distributed for sparse vectors, and develop several recursive least-squares (RLS) algorithms. The proposed algorithms are based on maximum likelihood framework, expectation-maximization algorithm, with aid...

10.1109/tsp.2014.2302731 article EN IEEE Transactions on Signal Processing 2014-01-31

Abstract Mammalian male germ cell development is a stepwise cell-fate transition process; however, the full-term developmental profile of cells remains undefined. Here, by interrogating high-precision transcriptome atlas 11,598 covering 28 critical time-points, we demonstrate that from mitotic to post-mitotic primordial accompanied transcriptome-scale reconfiguration and transitional state. Notch signaling pathway essential for initiating arrest maintenance cells’ identities. Ablation HELQ...

10.1038/s41467-021-27172-0 article EN cc-by Nature Communications 2021-11-25

Congenital and progressive hearing impairment is a common distressing disease. The dominant loss DFNA28 in human associated with frameshift mutation of Grainyhead-like 2 (GRHL2) but its etiology mechanism remain unknown. Here we report zebrafish grhl2bT086 mutant line which grhl2b expression interrupted by an insertion Tol2 transposon element. mutants exhibit enlarged otocysts, smaller or eliminated otoliths, malformed semicircular canals, insensitiveness to sound stimulation imbalanced...

10.1093/hmg/ddr234 article EN Human Molecular Genetics 2011-05-24

Background: Autophagy has been implicated as a crucial component in spermatogenesis, and autophagy dysfunction can lead to reproductive disorders animal models, including yeast, C. elegans mice. However, the sophisticated transcriptional networks of autophagic genes throughout human spermatogenesis their biological significance remain largely uncharacterized. Methods: We profiled signatures autophagy-related during by assessing specimens from nine fertile controls (including two normal...

10.7150/thno.55645 article EN cc-by Theranostics 2021-01-01

Nodal and Smad2/3 signals play pivotal roles in mesendoderm induction axis determination during late blastulation early gastrulation vertebrate embryos. However, direct target genes those critical developmental stages have not been systematically identified. Here, through ChIP-chip assay, we show that the promoter/enhancer regions of 679 are bound by Smad2 zebrafish gastrulas. Expression analyses confirm a significant proportion targets indeed subjected to Nodal/Smad2 regulation at onset...

10.1074/jbc.m111.236307 article EN cc-by Journal of Biological Chemistry 2011-06-14

The protease HTRA-1 is closely associated with rheumatoid arthritis (RA). molecular mechanisms that control expression are currently unknown. This study was undertaken to determine the regulatory role of Toll-like receptors (TLRs) on in mice collagen-induced (CIA) and synovial cells from RA patients.HTRA-1 messenger RNA protein production mouse fibroblasts, macrophages, freshly isolated patient treated TLR ligands were detected by real-time polymerase chain reaction enzyme-linked...

10.1002/art.38124 article EN Arthritis & Rheumatism 2013-08-27

Abstract Microtubules function in TGF-β signalling by facilitating the cytoplasmic trafficking of internalized receptors and nucleocytoplasmic shuttling Smads. However, nothing is known about whether actin filaments are required for these processes. Here we report that zebrafish actin-bundling protein fscn1a highly expressed mesendodermal precursors its expression directly regulated superfamily member Nodal. Knockdown or knockout leads to a reduction Nodal signal transduction endoderm...

10.1038/ncomms12603 article EN cc-by Nature Communications 2016-08-22

The high temperature requirement A1 (HTRA1) is a potent protease involved in many diseases, including rheumatoid arthritis (RA). However, the regulatory mechanisms that control HTRA1 expression need to be determined. In this study, we demonstrated IFN-γ significantly inhibited basal and LPS-induced fibroblasts macrophages, which are two major cells for production RA. Importantly, inhibitory effect of on was evidenced collagen-induced (CIA) mouse models human RA synovial cells. parallel with...

10.4049/jimmunol.1302700 article EN The Journal of Immunology 2014-06-07

Censored observations are encountered naturally in many engineering tasks. Conventional estimation algorithms may suffer from significant performance degradation when the undesirably censored. This work focuses on adaptively estimating regression parameter a censored (CR) model. We first consider that noise variance and thresholds known priori, solve online CR problem by computing maximum-likelihood estimate an expectation-maximization framework. strategy yields recursive least-squares...

10.1109/tsp.2016.2646660 article EN IEEE Transactions on Signal Processing 2016-12-30

Distributed estimation over sensor networks has received a lot of attention due to its great promise for broad applicability. In many cases, sensors have constraints on the range data they can measure. This may cause that measurements or observations are censored, and hence value measurement observation could be only partially known. paper focuses distributed censored regression develops diffusion-based algorithm regression. The proposed first adopts an adaptive bias-corrected estimator...

10.1109/tsp.2015.2455519 article EN IEEE Transactions on Signal Processing 2015-07-14

10.1016/j.seppur.2021.118354 article EN Separation and Purification Technology 2021-01-19

During vertebrate embryogenesis, the neuroectoderm is induced from dorsal ectoderm and then partitioned into anterior posterior neuroectodermal domains by posteriorizing signals, such as Wnt fibroblast growth factor. However, little known about epigenetic regulation of gene expression. Here, we report a requirement chromatin remodeling protein Bptf for posteriorization in zebrafish embryos. Knockdown bptf leads to an expansion at expense ectoderm. functionally physically interacts with...

10.1523/jneurosci.0377-15.2015 article EN cc-by-nc-sa Journal of Neuroscience 2015-06-03

There has been a great deal of interest in estimating parameters the censored regression model, which arises regular situation if measuring device fails to give true measurement above or below given level. Most previous works however are based on assumption that regressor (system input) is noise-free, not always many practical applications. In this paper, we focus more general model allows as well response be observed with noises. case, ordinary least-squares estimators suffer from serious...

10.1109/tsp.2015.2450193 article EN IEEE Transactions on Signal Processing 2015-07-22
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