Mingyu Liu

ORCID: 0000-0001-9905-4399
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About
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Research Areas
  • Neural Networks and Applications
  • Image and Signal Denoising Methods
  • Ultrasound and Hyperthermia Applications
  • Advanced Sensor and Energy Harvesting Materials
  • Petroleum Processing and Analysis
  • Oil, Gas, and Environmental Issues
  • Cancer Mechanisms and Therapy
  • Blind Source Separation Techniques
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Computer Graphics and Visualization Techniques
  • RNA Research and Splicing
  • Forecasting Techniques and Applications
  • Real-time simulation and control systems
  • Venomous Animal Envenomation and Studies
  • Wireless Power Transfer Systems
  • Metalloenzymes and iron-sulfur proteins
  • Mathematical Analysis and Transform Methods
  • Nanoplatforms for cancer theranostics
  • Local Government Finance and Decentralization
  • Aerogels and thermal insulation
  • Traffic Prediction and Management Techniques
  • Kruppel-like factors research
  • Chemical Looping and Thermochemical Processes
  • E-Government and Public Services
  • Polydiacetylene-based materials and applications

Huawei Technologies (China)
2025

Guangxi University
2024-2025

The First People's Hospital of Shunde
2025

Jinan University
2025

Second Affiliated Hospital of Guangzhou Medical University
2024

Guangzhou Medical University
2024

Harbin Medical University
2013-2024

First Affiliated Hospital of Harbin Medical University
2019-2024

Changhai Hospital
2024

Second Military Medical University
2024

Current methods for mental disorder recognition mostly depend on clinical interviews and self-reported scores that can be highly subjective. Building an automatic system help in early detection of symptoms providing insights into the biological markers diagnosis. It is, however, a challenging task as it requires taking account indicators from different modalities, such facial expressions, gestures, acoustic features verbal content. To address this issue, we propose general-purpose multimodal...

10.1109/fg47880.2020.00033 article EN 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) 2020-11-01

Verification is critical in ensuring the reliable operation of modern, complex computing systems. However, as processor designs become increasingly sophisticated, conventional static verification techniques struggle to generate high-quality test sequences that achieve comprehensive coverage. Dynamic simulation-based approaches, which leverage coverage-driven objectives, can increase confidence correct functionality but often suffer from low efficiency due generation redundant and significant...

10.1145/3721133 article EN cc-by-nd ACM Transactions on Design Automation of Electronic Systems 2025-03-01

Abstract Purpose Hepatic arterial infusion chemotherapy (HAIC) combined with lenvatinib (Len) and immune checkpoint inhibitor (ICI) in treating advanced hepatocellular carcinoma (HCC) still needs further confirmation. We aimed to evaluate the efficacy of HAIC Len ICI (HAIC + ICI) versus alone HCC. Methods A total 290 patients group 349 were analysed. Propensity score matching (PSM), inverse probability treatment weighting (IPTW), coarsened exact (CEM) analyses used balance bias between two...

10.1007/s11547-025-01975-3 article EN cc-by La radiologia medica 2025-03-12

The emergence of large language models (LLMs) is a milestone in generative artificial intelligence, achieving significant success text comprehension and generation tasks. Despite the tremendous LLMs many downstream tasks, they suffer from severe hallucination problems, posing challenges to practical applications LLMs. Most works about LLMs' hallucinations focus on data quality. Self-attention core module transformer-based LLMs, while its potential relationship with has been hardly...

10.48550/arxiv.2407.10153 preprint EN arXiv (Cornell University) 2024-07-14

Abstract Disruption of re-endothelialization and haemodynamic balance remains a critical side effect drug-eluting stents (DES) for preventing intimal hyperplasia. Previously, we found that 5-aminolevulinic acid-mediated sonodynamic therapy (ALA-SDT) suppressed macrophage-mediated inflammation in atherosclerotic plaques. However, the effects on hyperplasia remain unknown. In this study, 56 rabbits were randomly assigned to control, ultrasound, ALA ALA-SDT groups, each group was divided into...

10.1038/s41598-020-68543-9 article EN cc-by Scientific Reports 2020-07-15

Macrophages play a pivotal role in the formation and development of atherosclerosis as predominant inflammatory cell type present within atherosclerotic plaque. Promoting anti-atherosclerotic drug delivery into macrophages may provide therapeutic potential on In this study, we investigated whether membrane-permeabilized sonodynamic therapy (MP-SDT) enhances THP-1 macrophages. Images confocal microscopy confirmed that optimal plasma distribution sonosensitizer protoporphyrin IX (PpIX) was at...

10.1371/journal.pone.0217511 article EN cc-by PLoS ONE 2019-06-10

Rapeseed meal is severely restricted in its utilization as unconventional animal feed due to anti-nutritive compounds, such glucosinolate, that are degraded toxic nitriles 3-butenenitrile and 4-pentenenitrile animals. Few studies on nitrilases can degrade glucosinolate-derived have been reported thus far. In the present study, a nitrilase gene

10.3390/ijms252211986 article EN International Journal of Molecular Sciences 2024-11-07

Background/Aims: Copper is an essential trace element for normal cellular function and contributes to critical physiological or pathological processes. The aim of the study was investigate effects copper on vascular tone rat mesenteric artery compare noradrenaline (NA) high K+ induced vasoconstriction. Methods: arteries were isolated vessel measured by using multi wire myograph system in vitro. Blood pressure carotid rabbits data acquisition analysis vivo. Results: dose-dependently blunted...

10.1159/000354523 article EN cc-by-nc Cellular Physiology and Biochemistry 2013-01-01

Colorectal cancer (CRC), the third most common globally, is associated with intestinal inflammation that leads to poor prognosis. RA-XII, a natural cyclopeptide, has previously been reported possess anti-tumor activities. Here, anti-inflammatory activities of RA-XII were investigated in colitis-associated colon mice and co-culture vitro model, which cells HCT116 macrophages RAW264.7 grown together mimic inflammatory microenvironment CRC. Changes inflammatory-related molecules protein...

10.1002/ptr.7482 article EN Phytotherapy Research 2022-05-10

Non-negative Matrix Factorization (NMF) is a method to obtain representation of data using non-negativity constraints. These constraints lead part-based in the vector space because they allow only additive, not subtractive, combinations original data. This how NMF learns part- based representation. paper introduces briefly theory and algorithm NMF. Then ANN framework presented classify spontaneous EEG five metal tasks. Several comparisons experiments were carried out. The results showed that...

10.1109/icbbe.2008.866 article EN 2008-05-01

Calcitonin (CT) is a peptide hormone secreted by the parafollicular C cells of thyroid gland, salmon calcitonin was originally extracted from hind cheek salmon. Neointimal hyperplasia refers to excessive proliferation and migration vascular smooth muscle (VSMCs). In this study, rat model restenosis employed explore impact on neointima proliferation. administered via continuous injections for duration 14 days postsurgery, expression proteins associated with proliferation, migration,...

10.1021/acsptsci.3c00288 article EN ACS Pharmacology & Translational Science 2024-02-23

We present Condition-Aware Neural Network (CAN), a new method for adding control to image generative models. In parallel prior conditional methods, CAN controls the generation process by dynamically manipulating weight of neural network. This is achieved introducing condition-aware module that generates convolution/linear layers based on input condition. test class-conditional ImageNet and text-to-image COCO. consistently delivers significant improvements diffusion transformer models,...

10.48550/arxiv.2404.01143 preprint EN arXiv (Cornell University) 2024-04-01
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