Jiahao Gong

ORCID: 0009-0005-3506-2011
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About
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Research Areas
  • Non-Destructive Testing Techniques
  • Heat transfer and supercritical fluids
  • Advanced Algorithms and Applications
  • Video Coding and Compression Technologies
  • Fault Detection and Control Systems
  • Magnetic Properties and Applications
  • Model Reduction and Neural Networks
  • Welding Techniques and Residual Stresses
  • Nuclear Engineering Thermal-Hydraulics
  • Control Systems and Identification

South China University of Technology
2024

We present Step-Video-T2V, a state-of-the-art text-to-video pre-trained model with 30B parameters and the ability to generate videos up 204 frames in length. A deep compression Variational Autoencoder, Video-VAE, is designed for video generation tasks, achieving 16x16 spatial 8x temporal ratios, while maintaining exceptional reconstruction quality. User prompts are encoded using two bilingual text encoders handle both English Chinese. DiT 3D full attention trained Flow Matching employed...

10.48550/arxiv.2502.10248 preprint EN arXiv (Cornell University) 2025-02-14

Abstract In response to the time‐consuming computational fluid dynamics simulations faced in naturally convective oil‐immersed transformers, which result from complex models and a high degree of freedom, an innovative reduced‐order digital twin prediction model for transformer temperature fields is proposed. This facilitates fast predictions transient distributions. Initially, comprehensive full‐order finite element distributions established. Subsequently, hybrid approach, combining proper...

10.1049/hve2.12446 article EN cc-by-nc-nd High Voltage 2024-05-30
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