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08/12/2023
Towards Exascale Computation for Turbomachinery Flows
A state-of-the-art large eddy simulation code has been developed to solv...
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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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09/02/2022
An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series
As a special infinite-order vector autoregressive (VAR) model, the vecto...
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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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05/01/2021
Technical Report: Insider-Resistant Context-Based Pairing for Multimodality Sleep Apnea Test
The increasingly sophisticated at-home screening systems for obstructive...
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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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07/07/2020
Demo: iJam with Channel Randomization
Physical-layer key generation methods utilize the variations of the comm...
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02/18/2020
ROBin: Known-Plaintext Attack Resistant Orthogonal Blinding via Channel Randomization
Orthogonal blinding based schemes for wireless physical layer security a...
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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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03/24/2019
Characterizing Location-based Mobile Tracking in Mobile Ad Networks
Mobile apps nowadays are often packaged with third-party ad libraries to...
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11/26/2018