
Classification of head impacts based on the spectral density of measurable kinematics
Traumatic brain injury can be caused by head impacts, but many brain inj...
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Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation
Brain tissue deformation resulting from head impacts is primarily caused...
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Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing
This article introduces a neural networkbased signal processing framewo...
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Adaptive Estimation for Nonstationary Factor Models And A Test for Static Factor Loadings
This paper considers the estimation and testing of a class of highdimen...
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Pareto Deterministic Policy Gradients and Its Application in 5G Massive MIMO Networks
In this paper, we consider jointly optimizing cell load balance and netw...
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Learning with Knowledge of Structure: A Neural NetworkBased Approach for MIMOOFDM Detection
In this paper, we explore neural networkbased strategies for performing...
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Learning for IntegerConstrained Optimization through Neural Networks with Limited Training
In this paper, we investigate a neural networkbased learning approach t...
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A novel control mode of bionic morphing tail based on deep reinforcement learning
In the field of fixed wing aircraft, many morphing technologies have bee...
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Teamwise Mean Field Competitions
This paper studies competitions with rankbased reward among a large num...
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Frequency Detection and Change Point Estimation for Time Series of Complex Oscillation
We consider detecting the evolutionary oscillatory pattern of a signal w...
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RCNet: Incorporating Structural Information into Deep RNN for MIMOOFDM Symbol Detection with Limited Training
In this paper, we investigate learningbased MIMOOFDM symbol detection ...
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Statistical Inference for High Dimensional Panel Functional Time Series
In this paper we develop statistical inference tools for high dimensiona...
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Estimation and Inference of TimeVarying AutoCovariance under Complex Trend: A Differencebased Approach
We propose a differencebased nonparametric methodology for the estimati...
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Globally Optimal And Adaptive ShortTerm Forecast of Locally Stationary Time Series And A Test for Its Stability
Forecasting the evolution of complex systems is one of the grand challen...
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CogRF: A New Frontier for Machine Learning and Artificial Intelligence for 6G RF Systems
The concept of CogRF, a novel tunable radio frequency (RF) frontend that...
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MACE: Multiscale Abrupt Change Estimation Under Complex Temporal Dynamics
We consider the problem of detecting abrupt changes in an otherwise smoo...
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IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation
The remarkable progress of network embedding has led to stateoftheart...
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Learn to Demodulate: MIMOOFDM Symbol Detection through Downlink Pilots
Reservoir computing (RC) is a special neural network which consists of a...
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Statedomain Change Point Detection for Nonlinear Time Series Regression
Change point detection in time series has attracted substantial interest...
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Statedomain Change Point Detection for Nonlinear Time Series
Change point detection in time series has attracted substantial interest...
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Inference of synchrosqueezing transform  toward a unified statistical analysis of nonlineartype timefrequency analysis
We provide a statistical analysis of a tool in nonlineartype timefrequ...
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Spectral Inference under Complex Temporal Dynamics
We develop unified theory and methodology for the inference of evolution...
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Estimation and inference for precision matrices of nonstationary time series
In this paper, we consider the estimation and inference of precision mat...
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Estimation and inference for covariance and precision matrices of nonstationary time series
In this paper, we consider the estimation and inference of the covarianc...
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Change Point Analysis of Correlation in Nonstationary Time Series
A restrictive assumption in change point analysis is "stationarity under...
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Bayesian Compressive Sensing Using Normal Product Priors
In this paper, we introduce a new sparsitypromoting prior, namely, the ...
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Zhou Zhou
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