Zhi Tang

ORCID: 0000-0003-0913-8770
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About
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Research Areas
  • Fire dynamics and safety research
  • Evacuation and Crowd Dynamics
  • Fire effects on ecosystems
  • Fire Detection and Safety Systems
  • Mitochondrial Function and Pathology
  • Advanced Sensor and Energy Harvesting Materials
  • Advanced Graph Neural Networks
  • Coenzyme Q10 studies and effects
  • Advanced Neural Network Applications
  • Metabolism and Genetic Disorders
  • Geotechnical and Geomechanical Engineering
  • Domain Adaptation and Few-Shot Learning
  • Innovative Energy Harvesting Technologies
  • Rock Mechanics and Modeling
  • Conducting polymers and applications
  • Biochemical Acid Research Studies
  • Combustion and Detonation Processes
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Water Systems and Optimization
  • Landslides and related hazards
  • Urban Stormwater Management Solutions
  • Image Processing Techniques and Applications
  • Computational Drug Discovery Methods
  • Tactile and Sensory Interactions
  • Spinal Cord Injury Research

Nanjing University
2025

Guiyang Medical University
2024

Wuhan University
2010-2024

Hubei Engineering University
2024

First Affiliated Hospital of Anhui Medical University
2022-2024

Anhui Medical University
2022-2024

Liaoning Technical University
2021-2024

Guangdong Medical College
2024

Beijing Jiaotong University
2024

Chinese Research Academy of Environmental Sciences
2022-2023

Fusing the camera and LiDAR information has become a de-facto standard for 3D object detection tasks. Current methods rely on point clouds from sensor as queries to leverage feature image space. However, people discovered that this underlying assumption makes current fusion framework infeasible produce any prediction when there is malfunction, regardless of minor or major. This fundamentally limits deployment capability realistic autonomous driving scenarios. In contrast, we propose...

10.48550/arxiv.2205.13790 preprint EN public-domain arXiv (Cornell University) 2022-01-01

To reach ocean resources, sea activities and marine equipment variety are increasing, requiring offshore energy supply. Marine wave energy, the renewable with most potential, offers massive storage great density. This research proposes a swinging boat-type triboelectric nanogenerator concept for low-frequency collection. Triboelectric electronanogenerators electrodes nylon roller make up (ST-TENG). COMSOL electrostatic simulations power generation concepts of independent layer vertical...

10.3390/mi14040748 article EN cc-by Micromachines 2023-03-28

A co-precipitation approach has been used to produce a novel iron-calcium-lanthanum (Fe-Ca-La) trimetallic composite for the removal of phosphate from water. The was characterized by scanning electron microscopy, which showed that Fe-Ca-La exhibited an amorphous structure and there were aggregations small particles with varying size on surface composite. adsorption amount highly pH-dependent, optimal occurred at acidic condition (pH < 7). maximum 103.48 mg g−1, higher than many other...

10.1016/j.eti.2023.103326 article EN cc-by-nc-nd Environmental Technology & Innovation 2023-08-09

To address the conflict between pressure relief and support effectiveness caused by large-diameter boreholes in roadway surrounding rock, this paper proposes a method involving variable-diameter for energy dissipation. With typical rock burst coal mine as engineering context, study establishes mechanical model through theoretical analysis to examine elastic stress distribution around within body. Physical similarity simulation tests are conducted investigate influence of conventional...

10.1371/journal.pone.0306449 article EN cc-by PLoS ONE 2024-09-06

Abstract Background Tryptophan 2,3-dioxygenase (TDO2) is the primary enzyme that catabolizes tryptophan to kynurenine. Numerous studies have suggested TDO2 involved in inflammation-related diseases. However, its role osteoarthritis (OA) has not yet been investigated. The aim of present study was explore levels synovium and synovial fluid (SF) patients with OA correlation clinical manifestations pro-inflammatory cytokines. Methods Synovium SF samples were collected from joint trauma...

10.1186/s12891-022-05567-4 article EN cc-by BMC Musculoskeletal Disorders 2022-06-22

In existing CNN based detectors, the backbone network is a very important component for basic feature extraction, and performance of detectors highly depends on it. this paper, we aim to achieve better detection by building more powerful from backbones like ResNet ResNeXt. Specifically, propose novel strategy assembling multiple identical composite connections between adjacent backbones, form named Composite Backbone Network (CBNet). way, CBNet iteratively feeds output features previous...

10.48550/arxiv.1909.03625 preprint EN other-oa arXiv (Cornell University) 2019-01-01
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