Ye Wang - Concepedia

Author

Ye Wang

Mitsubishi Electric (United States)ORCID

Also Known As

Wang, Ye, Y. Wang, Ye Wang

128

Publications

1.5K

Citations

H-Index

Concepts

All Affiliations

Mitsubishi Electric (United States)Northeastern University Mitsubishi Electric (Japan)Purdue University West Lafayette University of Toronto

About

Ye Wang is an author at Mitsubishi Electric (United States) specializing in engineering, deep learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	25	1.1K
2	Social Sciences	5	5	295
3	Health Sciences	2	2	100
4	Medicine	2	2	112
5	Natural Sciences	1	1	12

Ye Wang

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood Abhinav Kumar, Tim K. Marks, Wenxuan Mou, EngineeringMachine LearningHuman Pose EstimationBiometricsLocalization	2020	135
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals Andaç Demir, Toshiaki Koike‐Akino, Ye Wang, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Eeg Channel SelectionConvolutional Neural NetworkEngineeringGraph Signal ProcessingSocial Sciences	2021	99
Learning Invariant Representations From EEG via Adversarial Inference Ozan Özdenizci, Ye Wang, Toshiaki Koike‐Akino, IEEE Access Data AugmentationEngineeringMachine LearningData ScienceInvariant Representations	2020	97
Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices Yingheng Tang, Keisuke Kojima, Toshiaki Koike‐Akino, Laser & Photonics Review PhotonicsEngineeringIntegrated Nanophotonic DevicesApplied PhysicsComputer Engineering	2020	86
Technical impacts of high penetration levels of wind power on power system stability Damian Flynn, Zakir Hussain Rather, Atle Rygg Årdal, Wiley Interdisciplinary Reviews Energy and Environment	2016	84
Translating sEMG signals to continuous hand poses using recurrent neural networks Fernando Quivira, Toshiaki Koike‐Akino, Ye Wang, EngineeringMachine LearningHuman Pose Estimation3D Pose EstimationWearable Technology	2018	83
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders Ozan Özdenizci, Ye Wang, Toshiaki Koike‐Akino,	2019	69
Remaining Useful Life Estimation for LFP Cells in Second-Life Applications I. Sanz-Gorrachategui, Pablo Pastor-Flores, Milutin Pajovic, IEEE Transactions on Instrumentation and Measurement EngineeringMachine LearningLife PredictionDeterioration ModelingData Science	2021	66
High-accuracy user identification using EEG biometrics Toshiaki Koike‐Akino, Ruhi Mahajan, Tim K. Marks, EngineeringBiometricsWearable TechnologyElectroencephalographySocial Sciences	2016	63
Deep Neural Networks for Inverse Design of Nanophotonic Devices Keisuke Kojima, Mohammad H. Tahersima, Toshiaki Koike‐Akino, Journal of Lightwave Technology PhotonicsDeep Neural NetworksEngineeringMachine LearningNanoscale System	2021	54

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