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07/18/2023
Optimal Short-Term Forecast for Locally Stationary Functional Time Series
Accurate curve forecasting is of vital importance for policy planning, d...
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04/24/2023
Kinematic Analysis and Design of a Novel (6+3)-DoF Parallel Robot with Fixed Actuators
A novel kinematically redundant (6+3)-DoF parallel robot is presented in...
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04/14/2023
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
Recent advancements in language-image models have led to the development...
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07/23/2022
Simultaneous Inference for Time Series Functional Linear Regression
We consider the problem of joint simultaneous confidence band (JSCB) con...
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12/16/2021
Simultaneous Sieve Inference for Time-Inhomogeneous Nonlinear Time Series Regression
In this paper, we consider the time-inhomogeneous nonlinear time series ...
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12/01/2021
Auto-Regressive Approximations to Non-stationary Time Series, with Inference and Applications
Understanding the time-varying structure of complex temporal systems is ...
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10/03/2021
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection
In this paper, we introduce a structure-based neural network architectur...
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08/19/2021
Physics-informed machine learning improves detection of head impacts
In this work we present a new physics-informed machine learning model th...
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06/28/2021
Federated Dynamic Spectrum Access
Due to the growing volume of data traffic produced by the surge of Inter...
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04/19/2021
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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02/09/2021
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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02/06/2021
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing
This article introduces a neural network-based signal processing framewo...
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12/29/2020
Adaptive Estimation for Non-stationary Factor Models And A Test for Static Factor Loadings
This paper considers the estimation and testing of a class of high-dimen...
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12/02/2020
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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12/01/2020
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection
In this paper, we explore neural network-based strategies for performing...
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11/10/2020
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training
In this paper, we investigate a neural network-based learning approach t...
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10/08/2020
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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06/24/2020
Teamwise Mean Field Competitions
This paper studies competitions with rank-based reward among a large num...
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05/05/2020
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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03/15/2020
RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training
In this paper, we investigate learning-based MIMO-OFDM symbol detection ...
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03/12/2020
Statistical Inference for High Dimensional Panel Functional Time Series
In this paper we develop statistical inference tools for high dimensiona...
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03/10/2020
Estimation and Inference of Time-Varying Auto-Covariance under Complex Trend: A Difference-based Approach
We propose a difference-based nonparametric methodology for the estimati...
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12/30/2019
Globally Optimal And Adaptive Short-Term 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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09/15/2019
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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09/13/2019
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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07/24/2019
IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation
The remarkable progress of network embedding has led to state-of-the-art...
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06/25/2019
Learn to Demodulate: MIMO-OFDM Symbol Detection through Downlink Pilots
Reservoir computing (RC) is a special neural network which consists of a...
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04/24/2019
State-domain Change Point Detection for Nonlinear Time Series Regression
Change point detection in time series has attracted substantial interest...
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04/24/2019
State-domain Change Point Detection for Nonlinear Time Series
Change point detection in time series has attracted substantial interest...
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04/21/2019
Inference of synchrosqueezing transform -- toward a unified statistical analysis of nonlinear-type time-frequency analysis
We provide a statistical analysis of a tool in nonlinear-type time-frequ...
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12/19/2018
Spectral Inference under Complex Temporal Dynamics
We develop unified theory and methodology for the inference of evolution...
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03/03/2018
Estimation and inference for precision matrices of non-stationary time series
In this paper, we consider the estimation and inference of precision mat...
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03/03/2018
Estimation and inference for covariance and precision matrices of non-stationary time series
In this paper, we consider the estimation and inference of the covarianc...
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01/30/2018
Change Point Analysis of Correlation in Non-stationary Time Series
A restrictive assumption in change point analysis is "stationarity under...
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08/24/2017