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09/25/2022
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator
Regularized system identification is the major advance in system identif...
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08/19/2022
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks
DNN-based video object detection (VOD) powers autonomous driving and vid...
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12/20/2021
Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model
In this paper, we give a tutorial on asymptotic properties of the Least ...
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04/21/2021
On the Asymptotic Optimality of Cross-Validation based Hyper-parameter Estimators for Regularized Least Squares Regression Problems
The asymptotic optimality (a.o.) of various hyper-parameter estimators w...
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07/08/2020
Accelerated Sparse Bayesian Learning via Screening Test and Its Applications
In high-dimensional settings, sparse structures are critical for efficie...
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03/30/2020
Supplementary Material for CDC Submission No. 1461
In this paper, we focus on the influences of the condition number of the...
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03/30/2020
Supplementary Material for CDC Submission: On Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods
In this paper, we focus on the influences of the condition number of the...
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03/30/2020
On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods
In this paper, we focus on the influences of the condition number of the...
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02/03/2020
DWM: A Decomposable Winograd Method for Convolution Acceleration
Winograd's minimal filtering algorithm has been widely used in Convoluti...
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04/21/2019
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series
Gaussian processes (GP) for machine learning have been studied systemati...
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10/23/2017
BENCHIP: Benchmarking Intelligence Processors
The increasing attention on deep learning has tremendously spurred the d...
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11/20/2014
Maximum Entropy Kernels for System Identification
A new nonparametric approach for system identification has been recently...
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08/11/2012
A Large Population Size Can Be Unhelpful in Evolutionary Algorithms
The utilization of populations is one of the most important features of ...
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06/11/2012
RepTFD: Replay Based Transient Fault Detection
The advances in IC process make future chip multiprocessors (CMPs) more ...
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03/28/2012
On the Easiest and Hardest Fitness Functions
The hardness of fitness functions is an important research topic in the ...
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11/09/2011
Scaling Up Estimation of Distribution Algorithms For Continuous Optimization
Since Estimation of Distribution Algorithms (EDA) were proposed, many at...
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08/23/2011
Novel Analysis of Population Scalability in Evolutionary Algorithms
Population-based evolutionary algorithms (EAs) have been widely applied ...
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07/11/2011
Efficient Deterministic Replay Using Complete Race Detection
Data races can significantly affect the executions of multi-threaded pro...
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06/03/2011