118 citations · 170 across the 11 of their papers we have counts for
11 papers
Upgrading Urban Water Storage System: Achieving Water Conservation, Power Generation, Carbon Reduction, and Water Quality Enhancement
Xiao Zhang
Beijing is a megacity with a population of over 20 million. It has a massive demand for water and electricity and is responsible for achieving carbon neutrality. However, Beijing i…
Evolution of magnetic correlation in an inhomogeneous square lattice
Xiao Zhang, Runyu Ma, Zenghui Fan +3
We explore the magnetic properties of a two-dimensional Hubbard model on an inhomogeneous square lattice, which provides a platform for tuning the bandwidth of the flat band. In it…
Hybrid topological photonic crystals
Yanan Wang, Hai-Xiao Wang, Li Liang +8
Photonic topological phases offering unprecedented manipulation of electromagnetic waves have attracted much research interest which, however, have been mostly restricted to a sing…
Spin triplet superconducting pairing in doped MoS
Jingyao Wang, Xiao Zhang, Runyu Ma +3
Searching for triplet superconductivity has been pursued intensively in a broad field of material science and quantum information for decades. Nevertheless, these novel states rema…
Quantum Monte Carlo study of superconductivity in rhombohedral trilayer graphene under an electric field
Huijia Dai, Runyu Ma, Xiao Zhang +2
By using the constrained-phase quantum Monte Carlo method, we performed a systematic study of the ground state of the half filled Hubbard model for a trilayer honeycomb lattice. We…
Self-Supervised Visual Representation Learning from Hierarchical Grouping
Xiao Zhang, Michael Maire
We create a framework for bootstrapping visual representation learning from a primitive visual grouping capability. We operationalize grouping via a contour detector that partition…
ACE -- An Anomaly Contribution Explainer for Cyber-Security Applications
Xiao Zhang, Manish Marwah, I-ta Lee +2
In this paper, we introduce Anomaly Contribution Explainer or ACE, a tool to explain security anomaly detection models in terms of the model features through a regression framework…
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
Wei Deng, Xiao Zhang, Faming Liang +1
We propose a novel adaptive empirical Bayesian method for sparse deep learning, where the sparsity is ensured via a class of self-adaptive spike-and-slab priors. The proposed metho…
Sentiment Tagging with Partial Labels using Modular Architectures
Xiao Zhang, Dan Goldwasser
Many NLP learning tasks can be decomposed into several distinct sub-tasks, each associated with a partial label. In this paper we focus on a popular class of learning problems, seq…
Asynchronous Distributed Variational Gaussian Processes for Regression
Hao Peng, Shandian Zhe, Yuan Qi
Gaussian processes (GPs) are powerful non-parametric function estimators. However, their applications are largely limited by the expensive computational cost of the inference proce…
Optimization of Switch Keyboards
Xiao Zhang, Kan Fang, Gregory Francis
Patients with motor control difficulties often "type" on a computer using a switch keyboard to guide a scanning cursor to text elements. We show how to optimize some parts of the d…