Gang Wang

ORCID: 0009-0003-6944-2958
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About
Contact & Profiles
Research Areas
  • CCD and CMOS Imaging Sensors
  • Advanced Memory and Neural Computing
  • Natural Language Processing Techniques
  • Image Processing Techniques and Applications
  • Topic Modeling
  • Speech and dialogue systems
  • Ultrasonics and Acoustic Wave Propagation
  • Gear and Bearing Dynamics Analysis
  • Composite Structure Analysis and Optimization
  • Thermal properties of materials
  • Numerical methods in engineering
  • Advanced Neural Network Applications
  • Nonlocal and gradient elasticity in micro/nano structures
  • Speech Recognition and Synthesis
  • Industrial Vision Systems and Defect Detection
  • Parallel Computing and Optimization Techniques
  • Adhesion, Friction, and Surface Interactions
  • Mechanical stress and fatigue analysis
  • Thermoelastic and Magnetoelastic Phenomena

Shanghai Jiao Tong University
1997-2025

Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration
2016

10.1109/tcsi.2025.3547732 article EN IEEE Transactions on Circuits and Systems I Regular Papers 2025-01-01

10.1109/jetcas.2025.3556443 article EN IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2025-01-01

10.1109/jetcas.2025.3562937 article EN IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2025-01-01

First, on the basis of governing equations piezoelectric materials, a displacement function is introduced and general solutions are derived. Second, by employing generalized Almansi's theorem, these further simplified, i.e. all physical quantities expressed in three functions ψi (i = 1,2,3), which satisfy, respectively, similar harmonic second–order partial differential equations. Then Green's for point forces charge acting interior two–phase infinite plane given using method mirror image...

10.1098/rspa.1997.0120 article EN Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences 1997-11-08

In this work, thermoelastic damping in microbeam resonators is evaluated using the generalized thermoelasticity theory based on dual-phase-lagging thermal conduction model with relaxation between temperature increment and expansion. An explicit formula of has been derived. Influences various affecting factors damping, such as beam height, aspect ratio, time expansion, are examined. Numerical results show that obtained by present study, exhibits distinctive features at nanoscale. This work...

10.1080/01495739.2015.1125653 article EN Journal of Thermal Stresses 2016-03-03

10.1109/tcad.2024.3434447 article EN IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2024-01-01

This paper investigates the geometric structure of stochastic vector bundles. It finds that probability space bundles possesses an infinite-order jet structure, enabling a gemetrical analysis processes. Furthermore, demonstrates have natural contact leading to decomposition tangent and providing insights into system's evolution constraints. Finally, it derives set canonical equations for bundles, which resemble Hamilton's equations. These are connected principle least action, showing...

10.48550/arxiv.2408.11575 preprint EN arXiv (Cornell University) 2024-08-21
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