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08/31/2023
On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint
Implicit neural networks have demonstrated remarkable success in various...
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08/30/2023
Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models
Denoising diffusion models have shown outstanding performance in image e...
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08/16/2022
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition
Human activity recognition (HAR) with wearables is promising research th...
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01/22/2022
Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images
It is a challenging problem to detect and recognize targets on complex l...
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05/16/2021
Semi-supervised Contrastive Learning with Similarity Co-calibration
Semi-supervised learning acts as an effective way to leverage massive un...
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09/16/2019
Preliminary Exploration on Digital Twin for Power Systems: Challenges, Framework, and Applications
Digital twin (DT) is one of the most promising enabling technologies for...
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03/08/2019
Analysis on the Empirical Spectral Distribution of Large Sample Covariance Matrix and Applications for Large Antenna Array Processing
This paper addresses the asymptotic behavior of a particular type of inf...
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01/08/2019
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks
In this paper, we propose to disentangle and interpret contextual effect...
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08/16/2018
Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
In the past decade, sparse and low-rank recovery have drawn much attenti...
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07/31/2018
Spectrum concentration in deep residual learning: a free probability appproach
We revisit the initialization of deep residual networks (ResNets) by int...
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02/10/2018
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location
Synchronized measurements of a large power grid enable an unprecedented ...
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01/16/2018
An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images
The location of broken insulators in aerial images is a challenging task...
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10/30/2017
Detection and Estimation of the Invisible Units Using Utility Data Based on Random Matrix Theory
Invisible units refer mainly to small-scale units that are not monitored...
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04/15/2016
Positive Definite Estimation of Large Covariance Matrix Using Generalized Nonconvex Penalties
This work addresses the issue of large covariance matrix estimation in h...
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02/19/2012
Generalized FMD Detection for Spectrum Sensing Under Low Signal-to-Noise Ratio
Spectrum sensing is a fundamental problem in cognitive radio. We propose...
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05/15/2011
