activity
20172023
most citedA Deep Learning Framework for Short-term Power Load Forecasting

185 citations · 214 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization

Shiqi Deng, Zhiyu Sun, Ruiyan Zhuang +1

Anomaly detection has a wide range of applications and is especially important in industrial quality inspection. Currently, many top-performing anomaly-detection models rely on fea…

eess.IV2019★ 5 cited

Deep segmentation networks predict survival of non-small cell lung cancer

Stephen Baek, Yusen He, Bryan G. Allen +13

Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that…

cs.CV2018★ 23 cited

ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation

Zhiyu Sun, Ethan Rooke, Jerome Charton +3

In this paper, we propose a novel formulation to extend CNNs to two-dimensional (2D) manifolds using orthogonal basis functions, called Zernike polynomials. In many areas, geometri…

cs.LG2018

Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks

Zhiyu Sun, Jia Lu, Stephen Baek

Convolutional neural networks (ConvNets) have demonstrated an exceptional capacity to discern visual patterns from digital images and signals. Unfortunately, such powerful ConvNets…

cs.CE2017★ 185 cited

A Deep Learning Framework for Short-term Power Load Forecasting

Tinghui Ouyang, Yusen He, Huajin Li +2

The scheduling and operation of power system becomes prominently complex and uncertain, especially with the penetration of distributed power. Load forecasting matters to the effect…

cs.GR2017★ 1 cited

Embedded Spectral Descriptors: Learning the point-wise correspondence metric via Siamese neural networks

Zhiyu Sun, Yusen He, Andrey Gritsenko +2

A robust and informative local shape descriptor plays an important role in mesh registration. In this regard, spectral descriptors that are based on the spectrum of the Laplace-Bel…