Guodong Li | DeepAI

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Featured Co-authors

Chao Li
169 publications
Di Wang
126 publications
Yuan Gao
112 publications
Xu Zhang
76 publications
Xiaoyu Zhang
42 publications
Zhen Qin
34 publications
Xuansong Xie
28 publications
Hansheng Wang
22 publications
Ke Zhu
22 publications
Min Ye
19 publications
Xuening Zhu
14 publications

∙ 06/15/2023

Quantile autoregressive conditional heteroscedasticity

This paper proposes a novel conditional heteroscedastic time series mode...

0 Qianqian Zhu, et al. ∙

∙ 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...

0 Yanwen Fang, et al. ∙

∙ 03/18/2023

MSR codes with linear field size and smallest sub-packetization for any number of helper nodes

The sub-packetization ℓ and the field size q are of paramount importance...

0 Guodong Li, et al. ∙

∙ 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...

0 Huiling Yuan, et al. ∙

∙ 02/08/2023

Cross-Layer Retrospective Retrieving via Layer Attention

More and more evidence has shown that strengthening layer interactions c...

0 Yanwen Fang, et al. ∙

∙ 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...

0 Guodong Li, et al. ∙

∙ 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...

0 Ningning Wang, et al. ∙

∙ 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...

0 Xu Zhang, et al. ∙

∙ 05/27/2022

An efficient tensor regression for high-dimensional data

Most currently used tensor regression models for high-dimensional data a...

0 Yuefeng Si, et al. ∙

∙ 03/29/2022

High-Dimensional Vector Autoregression with Common Response and Predictor Factors

Reinterpreting the reduced-rank vector autoregressive (VAR) model of ord...

0 Di Wang, et al. ∙

∙ 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...

0 Guodong Li, et al. ∙

∙ 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...

0 Guodong Li, et al. ∙

∙ 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...

0 Feiqing Huang, et al. ∙

∙ 11/05/2021

Quantile index regression

Estimating the structures at high or low quantiles has become an importa...

0 Yingying Zhang, et al. ∙

∙ 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...

0 Guodong Li, et al. ∙

∙ 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...

0 Yuan Gao, et al. ∙

∙ 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...

0 Jingyu Zhao, et al. ∙

∙ 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...

0 Xiaoyu Zhang, et al. ∙

∙ 01/12/2021

High-Dimensional Low-Rank Tensor Autoregressive Time Series Modeling

Modern technological advances have enabled an unprecedented amount of st...

0 Di Wang, et al. ∙

∙ 06/06/2020

Do RNN and LSTM have Long Memory?

The LSTM network was proposed to overcome the difficulty in learning lon...

0 Jingyu Zhao, et al. ∙

∙ 11/21/2019

Hybrid quantile estimation for asymmetric power GARCH models

Asymmetric power GARCH models have been widely used to study the higher ...

0 Guochang Wang, et al. ∙

∙ 09/14/2019

High-dimensional vector autoregressive time series modeling via tensor decomposition

The classical vector autoregressive model is a fundamental tool for mult...

0 Di Wang, et al. ∙

∙ 09/06/2019

Compact Autoregressive Network

Autoregressive networks can achieve promising performance in many sequen...

0 Di Wang, et al. ∙

∙ 02/15/2019

Quantile double autoregression

Many financial time series have varying structures at different quantile...

0 Qianqian Zhu, et al. ∙

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