Zeyu Xia is pursuing his Ph.D. in Computer Science at the University of Virginia, fortunately under the expert guidance of the esteemed Prof. Geoffrey Fox. His research focuses on AI for science and high-performance computing, with a particular emphasis on GPU-accelerated modelling and simulation, Diffusion-based model and control policy. Zeyu is driven by a passion for innovation and a commitment to making cutting-edge technologies accessible to a broader audience.
PyTorchFire is an open-access, PyTorch-based software utilizing GPU acceleration and a differentiable wildfire Cellular Automata model to achieve rapid, accurate, and realistic wildfire simulations, significantly outperforming traditional methods and enhancing real-time prediction and management capabilities.
Apr 1, 2025
The study introduces DT-SegNet, a deep learning scheme combining YOLOv5 and SegFormer, to enhance object detection and segmentation in electron microscopy images, significantly improving the development of chromium-based superalloys by addressing limitations in traditional methods.
May 9, 2023
A new algorithm using a deep convolutional neural network with a logarithmic mel-scaled spectrogram effectively detects singing voices, achieving optimal performance at a network depth of 152 on datasets like Jamendo, Mir1k, and RWC pop.
Jan 1, 2023