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07/17/2023
SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator
In this paper, we propose a novel network, SVDFormer, to tackle two spec...
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01/30/2023
FractalAD: A simple industrial anomaly segmentation method using fractal anomaly generation and backbone knowledge distillation
Although industrial anomaly detection (AD) technology has made significa...
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10/26/2022
Xiaoicesing 2: A High-Fidelity Singing Voice Synthesizer Based on Generative Adversarial Network
XiaoiceSing is a singing voice synthesis (SVS) system that aims at gener...
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10/23/2022
HiFi-WaveGAN: Generative Adversarial Network with Auxiliary Spectrogram-Phase Loss for High-Fidelity Singing Voice Generation
Entertainment-oriented singing voice synthesis (SVS) requires a vocoder ...
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07/27/2021
Discriminative-Generative Representation Learning for One-Class Anomaly Detection
As a kind of generative self-supervised learning methods, generative adv...
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09/14/2020
A Hybrid Framework for Topology Identification of Distribution Grid with Renewables Integration
Topology identification (TI) is a key task for state estimation (SE) in ...
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07/05/2020
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?
Dietary supplements (DSs) are popular but not always safe. Consumers usu...
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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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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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01/05/2018
Incipient Fault Detection and Location in Distribution Networks: A Data-Driven Approach
In this paper, a data-driven Methodology is developed for the incipient ...
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12/24/2017
A Data-driven Approach to Multi-event Analytics in Large-scale Power Systems Using Factor Model
Multi-event detection and recognition in real time is of challenge for a...
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10/30/2017
