b'Rong Chen'

research

∙ 08/18/2023

LSCD: A Large-Scale Screen Content Dataset for Video Compression

Multimedia compression allows us to watch videos, see pictures and hear ...

0 Yuhao Cheng, et al. ∙

research

∙ 07/21/2023

Transactional Indexes on (RDMA or CXL-based) Disaggregated Memory with Repairable Transaction

The failure atomic and isolated execution of clients operations is a def...

0 Xingda Wei, et al. ∙

research

∙ 01/30/2023

NPSA: Nonparametric Simulated Annealing for Global Optimization

In this paper we describe NPSA, the first parallel nonparametric global ...

0 Rong Chen, et al. ∙

research

∙ 12/15/2022

A Comprehensive Study on Off-path SmartNIC

SmartNIC has recently emerged as an attractive device to accelerate dist...

0 Xingda Wei, et al. ∙

research

∙ 06/05/2022

RPEM: Randomized Monte Carlo Parametric Expectation Maximization Algorithm

Inspired from quantum Monte Carlo methods, we developed a novel, fast, a...

0 Rong Chen, et al. ∙

research

∙ 03/19/2022

No Provisioned Concurrency: Fast RDMA-codesigned Remote Fork for Serverless Computing

Serverless platforms essentially face a tradeoff between container start...

0 Xingda Wei, et al. ∙

research

∙ 12/29/2021

KRCORE: a microsecond-scale RDMA control plane for elastic computing

This paper presents KRCORE, an RDMA library with a microsecond-scale con...

0 Xingda Wei, et al. ∙

research

∙ 10/29/2021

CP Factor Model for Dynamic Tensors

Observations in various applications are frequently represented as a tim...

0 Yuefeng Han, et al. ∙

research

∙ 05/12/2021

Generalized Autoregressive Moving Average Models with GARCH Errors

One of the important and widely used classes of models for non-Gaussian ...

0 Tingguo Zheng, et al. ∙

research

∙ 04/22/2021

Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem

The adaptive traffic signal control (ATSC) problem can be modeled as a m...

8 Chengwei Zhang, et al. ∙

research

∙ 03/17/2021

Simultaneous Decorrelation of Matrix Time Series

We propose a contemporaneous bilinear transformation for matrix time ser...

0 Yuefeng Han, et al. ∙

research

∙ 11/13/2020

Rank Determination in Tensor Factor Model

Factor model is an appealing and effective analytic tool for high-dimens...

0 Yuefeng Han, et al. ∙

research

∙ 11/10/2020

Distributed Learning with Low Communication Cost via Gradient Boosting Untrained Neural Network

For high-dimensional data, there are huge communication costs for distri...

0 Xiatian Zhang, et al. ∙

research

∙ 06/04/2020

Tensor Factor Model Estimation by Iterative Projection

Tensor time series, which is a time series consisting of tensorial obser...

0 Yuefeng Han, et al. ∙

research

∙ 03/21/2020

Multi-Task Learning Enhanced Single Image De-Raining

Rain removal in images is an important task in computer vision filed and...

6 YuLong Fan, et al. ∙

research

∙ 02/02/2020

Modeling Multivariate Spatial-Temporal Data with Latent Low-Dimensional Dynamics

High-dimensional multivariate spatial-temporal data arise frequently in ...

0 Elynn Y. Chen, et al. ∙

research

∙ 12/06/2019

Hybrid Kronecker Product Decomposition and Approximation

Discovering the underlying low dimensional structure of high dimensional...

0 Chencheng Cai, et al. ∙

research

∙ 12/05/2019

KoPA: Automated Kronecker Product Approximation

We consider matrix approximation induced by the Kronecker product decomp...

6 Chencheng Cai, et al. ∙

research

∙ 11/28/2019

Land Cover Change Detection via Semantic Segmentation

This paper presents a change detection method that identifies land cover...

12 Renee Su, et al. ∙

research

∙ 11/26/2019

Stable Matrix Completion using Properly Configured Kronecker Product Decomposition

Matrix completion problems are the problems of recovering missing entrie...

7 Chencheng Cai, et al. ∙

research

∙ 11/17/2019

State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization

Many high dimensional optimization problems can be reformulated into a p...

0 Chencheng Cai, et al. ∙

research

∙ 06/13/2019

Individualized Group Learning

Many massive data are assembled through collections of information of a ...

0 Chencheng Cai, et al. ∙

research

∙ 05/18/2019

Factor Models for High-Dimensional Tensor Time Series

Large tensor (multi-dimensional array) data are now routinely collected ...

0 Rong Chen, et al. ∙

research

∙ 01/02/2019

Modeling Dynamic Transport Network with Matrix Factor Models: with an Application to International Trade Flow

International trade research plays an important role to inform trade pol...

0 Elynn Y. Chen, et al. ∙

research

∙ 12/21/2018

Autoregressive Models for Matrix-Valued Time Series

In finance, economics and many other fields, observations in a matrix fo...

0 Rong Chen, et al. ∙

research

∙ 11/01/2018

Bi-GANs-ST for Perceptual Image Super-resolution

Image quality measurement is a critical problem for image super-resoluti...

2 Xiaotong Luo, et al. ∙

research

∙ 09/18/2018

SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions

Although many reinforcement learning methods have been proposed for lear...

0 Chengwei Zhang, et al. ∙

research

∙ 09/11/2018

Threshold factor models for high-dimensional time series

We consider a threshold factor model for high-dimensional time series in...

0 Xialu Liu, et al. ∙

research

∙ 02/12/2018

A Data-Driven Approach to Extract Connectivity Structures from Diffusion Tensor Imaging Data

Diffusion Tensor Imaging (DTI) is an effective tool for the analysis of ...

0 Yu Jin, et al. ∙

Rong Chen

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