Zhe Wang

ORCID: 0000-0003-4976-3132
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About
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Research Areas
  • Biosimilars and Bioanalytical Methods
  • Medical Practices and Rehabilitation
  • Evolutionary Psychology and Human Behavior
  • Psychiatric care and mental health services
  • Nuclear Structure and Function
  • Acoustic Wave Resonator Technologies
  • Video Surveillance and Tracking Methods
  • Image Processing and 3D Reconstruction
  • Face recognition and analysis
  • Nanowire Synthesis and Applications
  • Prosthetics and Rehabilitation Robotics
  • Stroke Rehabilitation and Recovery
  • Anomaly Detection Techniques and Applications
  • GaN-based semiconductor devices and materials
  • Face Recognition and Perception
  • Color perception and design
  • Silicon Nanostructures and Photoluminescence
  • Muscle activation and electromyography studies
  • Industrial Technology and Control Systems
  • Mechanical and Optical Resonators
  • Manufacturing Process and Optimization
  • Thin-Film Transistor Technologies
  • Gait Recognition and Analysis
  • Pharmaceutical studies and practices

North China Electric Power University
2021

Northwestern Polytechnical University
2014-2019

Zhejiang Sci-Tech University
2008-2014

Institute of Microelectronics
2005

Human motion intention recognition is a key to achieve perfect human-machine coordination and wearing comfort of wearable robots. Surface electromyography (sEMG), as bioelectrical signal, generates prior the corresponding reflects human directly. Thus, better interaction can be achieved by using sEMG based recognition. In this paper, we review discuss state art that mainly used in detail. According method adopted, divided into two groups: sEMG-driven musculoskeletal (MS) model machine...

10.1155/2019/3679174 article EN cc-by Journal of Robotics 2019-08-05

Class-agnostic motion prediction methods aim to comprehend within open-world scenarios, holding significance for autonomous driving systems. However, training a high-performance model in fully-supervised manner always requires substantial amounts of manually annotated data, which can be both expensive and time-consuming obtain. To address this challenge, our study explores the potential semi-supervised learning (SSL) class-agnostic prediction. Our SSL framework adopts consistency-based...

10.1609/aaai.v38i6.28358 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2024-03-24

Design of helical SiNW with broad spectrum is applied to translucent array solar cells.

10.1039/d1ma00988e article EN cc-by-nc Materials Advances 2021-12-13

AlN thin films were grown on Si(100) and Al/Si(100) substrates by pulsed dc sputtering system using 99.999% purity aluminum as target, Ar+N/sub 2/ gas mixture precursor. The impact of deposition parameters, including power, pressure substrate temperature, material properties has been investigated. A good correlation between film crystallinity well pressure, was addressed X-ray diffraction, verified scanning electron microscope (SEM) ellipsometry. It is found that highly c-axis oriented h-AlN...

10.1109/commad.2002.1237220 article EN 2005-08-25
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