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08/18/2023
LSCD: A Large-Scale Screen Content Dataset for Video Compression
Multimedia compression allows us to watch videos, see pictures and hear ...
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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...
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01/30/2023
NPSA: Nonparametric Simulated Annealing for Global Optimization
In this paper we describe NPSA, the first parallel nonparametric global ...
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12/15/2022
A Comprehensive Study on Off-path SmartNIC
SmartNIC has recently emerged as an attractive device to accelerate dist...
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06/05/2022
RPEM: Randomized Monte Carlo Parametric Expectation Maximization Algorithm
Inspired from quantum Monte Carlo methods, we developed a novel, fast, a...
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03/19/2022
No Provisioned Concurrency: Fast RDMA-codesigned Remote Fork for Serverless Computing
Serverless platforms essentially face a tradeoff between container start...
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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...
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10/29/2021
CP Factor Model for Dynamic Tensors
Observations in various applications are frequently represented as a tim...
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05/12/2021
Generalized Autoregressive Moving Average Models with GARCH Errors
One of the important and widely used classes of models for non-Gaussian ...
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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...
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03/17/2021
Simultaneous Decorrelation of Matrix Time Series
We propose a contemporaneous bilinear transformation for matrix time ser...
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11/13/2020
Rank Determination in Tensor Factor Model
Factor model is an appealing and effective analytic tool for high-dimens...
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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...
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06/04/2020
Tensor Factor Model Estimation by Iterative Projection
Tensor time series, which is a time series consisting of tensorial obser...
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03/21/2020
Multi-Task Learning Enhanced Single Image De-Raining
Rain removal in images is an important task in computer vision filed and...
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02/02/2020
Modeling Multivariate Spatial-Temporal Data with Latent Low-Dimensional Dynamics
High-dimensional multivariate spatial-temporal data arise frequently in ...
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12/06/2019
Hybrid Kronecker Product Decomposition and Approximation
Discovering the underlying low dimensional structure of high dimensional...
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12/05/2019
KoPA: Automated Kronecker Product Approximation
We consider matrix approximation induced by the Kronecker product decomp...
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11/28/2019
Land Cover Change Detection via Semantic Segmentation
This paper presents a change detection method that identifies land cover...
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11/26/2019
Stable Matrix Completion using Properly Configured Kronecker Product Decomposition
Matrix completion problems are the problems of recovering missing entrie...
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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...
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06/13/2019
Individualized Group Learning
Many massive data are assembled through collections of information of a ...
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05/18/2019
Factor Models for High-Dimensional Tensor Time Series
Large tensor (multi-dimensional array) data are now routinely collected ...
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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...
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12/21/2018
Autoregressive Models for Matrix-Valued Time Series
In finance, economics and many other fields, observations in a matrix fo...
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11/01/2018
Bi-GANs-ST for Perceptual Image Super-resolution
Image quality measurement is a critical problem for image super-resoluti...
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09/18/2018
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
Although many reinforcement learning methods have been proposed for lear...
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09/11/2018
Threshold factor models for high-dimensional time series
We consider a threshold factor model for high-dimensional time series in...
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02/12/2018