Hao Huang

ORCID: 0000-0001-8783-0928
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About
Contact & Profiles
Research Areas
  • Fault Detection and Control Systems
  • Neuroscience and Neuropharmacology Research
  • Ion channel regulation and function
  • Nicotinic Acetylcholine Receptors Study
  • Engineering Diagnostics and Reliability
  • Machine Fault Diagnosis Techniques
  • CAR-T cell therapy research
  • Neuroscience and Neural Engineering
  • Mineral Processing and Grinding
  • Cancer Immunotherapy and Biomarkers
  • Spectroscopy and Chemometric Analyses
  • Anomaly Detection Techniques and Applications
  • Cancer, Hypoxia, and Metabolism
  • Advanced Aircraft Design and Technologies
  • Vehicular Ad Hoc Networks (VANETs)
  • Signaling Pathways in Disease
  • Spam and Phishing Detection
  • Urban Design and Spatial Analysis
  • Interconnection Networks and Systems
  • Video Coding and Compression Technologies
  • Advanced Image and Video Retrieval Techniques
  • Optical Wireless Communication Technologies
  • Satellite Communication Systems
  • Tree Root and Stability Studies
  • Advanced Vision and Imaging

Convalife (China)
2025

Tongji University
2009-2024

Dahua Technology (China)
2024

Guangdong Institute of Intelligent Manufacturing
2024

Shenzhen University
2024

China Southern Power Grid (China)
2021-2024

Tiangong University
2024

Tianjin University
2014-2023

Nanjing Medical University
2012-2022

Changsha University of Science and Technology
2012-2022

Abstract Genetic engineering faces persistent challenges in achieving precise Deoxyribonucleic acid (DNA) cleavage, especially with the limitations associated current enzyme‐based methods, exemplified by issues CRISPR technologies. This study introduces a groundbreaking approach: utilizing reactive oxygen species (ROS) generated Multiphoton Absorption (MPA)‐excited Black Phosphorus Quantum Dots (BPQDs) under femto‐second laser irradiation. innovative method not only allows excitation lower...

10.1002/lpor.202400777 article EN Laser & Photonics Review 2024-07-10

Considering about slow drift and complicated relationships among process variables caused by corrosion, fatigue, so on in complex chemical engineering processes, an Industrial Process Optimization ViT (IPO-ViT) method was proposed to explore the global receptive field provided self-attention mechanism of Vision Transformer (ViT) fault detection diagnosis (FDD). The applications data sampled from both a real industrial Tennessee Eastman (TE) showed superior performance attention-based over...

10.1016/j.psep.2022.12.055 article EN cc-by-nc-nd Process Safety and Environmental Protection 2022-12-20

Both preclinical and clinical studies have shown that combining anti-VEGF/VEGFR drugs with immune checkpoint inhibitors (ICIs) significantly enhances anticancer efficacy. Currently, PDL-1/ VEGF bispecific antibodies demonstrate superior antitumor activity compared to monotherapy or even the combination of PD-L1 anti-VEGF antibodies. This enhanced efficacy results from simultaneous blockade PD-1/PD-L1 pathway inhibition VEGF-driven angiogenesis. In this study, we developed a novel antibody,...

10.32388/o2ywwi preprint EN cc-by 2025-01-07

The lack of 3-D content has become a bottleneck for the advancement three-dimensional television (3-DTV), but conventional multicamera arrays multiview imaging are expensive to setup and cumbersome use. This paper proposes lightweight approach with Kinect, handheld integrated depth-color camera, under depth-image-based rendering framework. proposed method consists two components: depth restoration from noisy incomplete measurements view synthesis pairs. In restoration, we propose moving 2-D...

10.1109/tbc.2014.2345931 article EN IEEE Transactions on Broadcasting 2014-08-21

This paper presents the results of an experimental study on critical buckling load and lateral bracing force metal plate connected wood truss assemblies. Material property tests—including modulus elasticity dimension lumber, flexural stiffness plywood panels, load-slip relationship nail connection—and full-scale tests individual trusses assemblies were conducted. The recorded. continuous bracing, sharing distribution effects, residual deformation at connections studied for their influence...

10.1061/(asce)st.1943-541x.0000163 article EN Journal of Structural Engineering 2009-11-21

10.2514/1.g000521 article EN Journal of Guidance Control and Dynamics 2014-10-02

This paper aims to address the challenges of significant data distribution differences and extreme imbalances in remaining useful life prediction modeling rotating components complex intelligent equipment under various working conditions. Grounded deep learning modeling, it considers multi-dimensional extraction method for degraded features feature stage, proposes a network structure with multiple attention channels, explores valuable segments channel time series dimensions. also domain...

10.3390/electronics14010136 article EN Electronics 2024-12-31

The properties of large-conductance Ca2+-activated K+ (BKCa) channels were studied in rat hippocampal CA1 pyramidal neurons by using the patch-clamp technique excised-inside-out-patch configuration. lowest [Ca2+]i which BKCa channel activities observed was 0.01 μM with membrane potential +20 mV and at PO is equal to 0.5 2 μM. unitary conductance single 245.4 pS symmetrical 140 mM on both sides excised membrane. With a fixed μM, increased e-fold 17.0 positive change potential. Two...

10.2170/jjphysiol.51.725 article EN The Japanese Journal of Physiology 2001-01-01

Construction lifting machinery equipment plays an important role in construction operations, but due to complex environments and high-intensity use, it is prone malfunctions, causing economic losses enterprises users. This research aims realize intelligent monitoring, fault diagnosis predictive maintenance of based on industrial Internet platform, Things artificial intelligence technology, so as reduce costs, improve efficiency, promote digital transformation the industry.

10.26789/jzjg.v9i2.1908 article EN 城市建设理论研究—建筑结构 2024-08-02

Compared to single-omics data, utilizing multi-omics data helps gain a more comprehensive understanding of the occurrence and development cancer, which emphasizes necessity developing efficient fusion approaches. In this study, novel framework based on graph convolution neural networks with progressively helical strategy, named phMFGCN, is proposed effectively integrate multiple omics data. To demonstrate effectiveness our in addressing challenges multi fusion, phMFGCN other widely-used...

10.1109/access.2023.3296474 article EN cc-by-nc-nd IEEE Access 2023-01-01
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