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06/15/2023
Quantile autoregressive conditional heteroscedasticity
This paper proposes a novel conditional heteroscedastic time series mode...
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06/06/2023
PGformer: Proxy-Bridged Game Transformer for Multi-Person Extremely Interactive Motion Prediction
Multi-person motion prediction is a challenging task, especially for rea...
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03/18/2023
MSR codes with linear field size and smallest sub-packetization for any number of helper nodes
The sub-packetization â„“ and the field size q are of paramount importance...
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03/06/2023
HAR-Ito models and high-dimensional HAR modeling for high-frequency data
It is an important task to model realized volatilities for high-frequenc...
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02/08/2023
Cross-Layer Retrospective Retrieving via Layer Attention
More and more evidence has shown that strengthening layer interactions c...
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09/06/2022
ABS+ Polar Codes: Exploiting More Linear Transforms on Adjacent Bits
ABS polar codes were recently proposed to speed up polarization by swapp...
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08/08/2022
Constructing MSR codes with subpacketization 2^n/3 for k+1 helper nodes
Wang et al. (IEEE Transactions on Information Theory, vol. 62, no. 8, 20...
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06/06/2022
Tucker tensor factor models for high-dimensional higher-order tensor observations
Higher-order tensor data are prevailing in a wide range of fields includ...
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05/27/2022
An efficient tensor regression for high-dimensional data
Most currently used tensor regression models for high-dimensional data a...
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03/29/2022
High-Dimensional Vector Autoregression with Common Response and Predictor Factors
Reinterpreting the reduced-rank vector autoregressive (VAR) model of ord...
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03/27/2022
All the codeword bits in polar codes have the same BER under the SC decoder
We prove that for any binary-input memoryless symmetric (BMS) channel, a...
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02/09/2022
Adjacent-Bits-Swapped Polar codes: A new code construction to speed up polarization
The construction of polar codes with code length n=2^m involves m layers...
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12/09/2021
A New Measure of Model Redundancy for Compressed Convolutional Neural Networks
While recently many designs have been proposed to improve the model effi...
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11/05/2021
Quantile index regression
Estimating the structures at high or low quantiles has become an importa...
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11/04/2021
A Dynamic Programming Method to Construct Polar Codes with Improved Performance
In the standard polar code construction, the message vector (U_0,U_1,…,U...
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11/02/2021
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models
Momentum methods have been shown to accelerate the convergence of the st...
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10/22/2021
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
This paper introduces a concept of layer aggregation to describe how inf...
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05/04/2021
Nonparametric Quantile Regression for Homogeneity Pursuit in Panel Data Models
Many panel data have the latent subgroup effect on individuals, and it i...
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01/12/2021
High-Dimensional Low-Rank Tensor Autoregressive Time Series Modeling
Modern technological advances have enabled an unprecedented amount of st...
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06/06/2020
Do RNN and LSTM have Long Memory?
The LSTM network was proposed to overcome the difficulty in learning lon...
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11/21/2019
Hybrid quantile estimation for asymmetric power GARCH models
Asymmetric power GARCH models have been widely used to study the higher ...
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09/14/2019
High-dimensional vector autoregressive time series modeling via tensor decomposition
The classical vector autoregressive model is a fundamental tool for mult...
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09/06/2019
Compact Autoregressive Network
Autoregressive networks can achieve promising performance in many sequen...
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02/15/2019
