1 citations · 2 across the 23 of their papers we have counts for
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The Error Probability of Spatially Coupled Sparse Regression Codes over Memoryless Channels
Yuhao Liu, Yizhou Xu, Tianqi Hou
Sparse Regression Codes (SPARCs) are capacity-achieving codes introduced for communication over the Additive White Gaussian Noise (AWGN) channels and were later extended to general…
Fluid-network relations: decay laws meet with spatial self-similarity, scale-invariance, and control scaling
Yang Tian, Pei Sun, Yizhou Xu
Diverse implicit structures of fluids are discovered lately, providing opportunities to study the physics of fluids applying network analysis. Although considerable works devote to…
Remove Symmetries to Control Model Expressivity and Improve Optimization
Liu Ziyin, Yizhou Xu, Isaac Chuang
When symmetry is present in the loss function, the model is likely to be trapped in a low-capacity state that is sometimes known as a "collapse". Being trapped in these low-capacit…
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
Jean Barbier, Francesco Camilli, Marco Mondelli +1
We consider a prototypical problem of Bayesian inference for a structured spiked model: a low-rank signal is corrupted by additive noise. While both information-theoretic and algor…
Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents
Xinyu Bian, Yuhao Liu, Yizhou Xu +4
Inter-cell interference (ICI) suppression is critical for multi-cell multi-user networks. In this paper, we investigate advanced precoding techniques for coordinated multi-point (C…
Decentralizing Coherent Joint Transmission Precoding via Deterministic Equivalents
Yuhao Liu, Xinyu Bian, Yizhou Xu +4
In order to control the inter-cell interference for a multi-cell multi-user multiple-input multiple-output network, we consider the precoder design for coordinated multi-point with…
Fast renormalizing the structures and dynamics of ultra-large systems via random renormalization group
Yang Tian, Yizhou Xu, Pei Sun
Criticality and symmetry, studied by the renormalization groups, lie at the heart of modern physics theories of matters and complex systems. However, surveying these properties wit…
Three Mechanisms of Feature Learning in a Linear Network
Yizhou Xu, Liu Ziyin
Understanding the dynamics of neural networks in different width regimes is crucial for improving their training and performance. We present an exact solution for the learning dyna…