1 citations · 1 across the 5 of their papers we have counts for
5 papers
Existence of an effective burning velocity in cellular flow for curvature G-equation via game analysis
Hongwei Gao, Ziang Long, Jack Xin +1
G-equation is a popular level set model in turbulent combustion, and becomes an advective mean curvature type evolution equation when curvature of a moving flame in a fluid flow is…
Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE
Ziang Long, Yunling Zheng, Meng Yu +1
Variational auto-encoder (VAE) is an effective neural network architecture to disentangle a speech utterance into speaker identity and linguistic content latent embeddings, then ge…
Recurrence of Optimum for Training Weight and Activation Quantized Networks
Ziang Long, Penghang Yin, Jack Xin
Deep neural networks (DNNs) are quantized for efficient inference on resource-constrained platforms. However, training deep learning models with low-precision weights and activatio…
Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification
Ziang Long, Penghang Yin, Jack Xin
Quantized or low-bit neural networks are attractive due to their inference efficiency. However, training deep neural networks with quantized activations involves minimizing a disco…
Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data
Ziang Long, Penghang Yin, Jack Xin
In this paper, we study the dynamics of gradient descent in learning neural networks for classification problems. Unlike in existing works, we consider the linearly non-separable c…