Mostafa El-Khamy

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Jungwon LeeExecutive Vice President, SamsungVerified email at samsung.com
Hessam MahdavifarUniversity of Michigan Ann ArborVerified email at umich.edu
Jinhong WuSamsung Semiconductor, Inc., Modem Systems R&DVerified email at ieee.org
Arvind YedlaTexas A&M University, Samsung US R&D CenterVerified email at ssi.samsung.com
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Mohammed FarragCollage of Engineering King Khalid University and Assiut UniversityVerified email at aun.edu.eg
Keke LiuResearch Engineer in Avago TechnologiesVerified email at ucdavis.edu
Hany S. HusseinKing Khalid University, and Associate Professor at Aswan UniversityVerified email at aswu.edu.eg
Mahmoud M. SelimAssociate Professor, Tanta UniversityVerified email at f-eng.tanta.edu.eg
roberto garelloPolitecnico di TorinoVerified email at polito.it
Mohamed RihanAssociate Professor, Menoufia University, IEEE Senior MemberVerified email at el-eng.menofia.edu.eg
Mostafa MedraWireless system engineer, HuaweiVerified email at ieee.org
Masoud AlghoniemyUniversity of AlexandriaVerified email at alexu.edu.eg
Mohamed ElwekeilFaculty of Electronic Engineering, Menoufia UniversityVerified email at el-eng.menofia.edu.eg
Jonathan HarelCalifornia Institute of TechnologyVerified email at klab.caltech.edu
Khaled ElsayedProfessor of Communication Networks and Systems, Cairo UniversityVerified email at cu.edu.eg
Alexander VardyUniversity of California San DiegoVerified email at ucsd.edu
Daniel AugotINRIA et LIXVerified email at inria.fr
Onsy Abdel AlimBeirut Arab University, Lebanon / Alexandria University, EgyptVerified email at bau.edu.lb
Adel BarakatKyushu UniversityVerified email at ed.kyushu-u.ac.jp

Mostafa El-Khamy

Alexandria University

Verified email at alexu.edu.eg


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection X Du, M El-Khamy, J Lee, L Davis 2017 IEEE winter conference on applications of computer vision (WACV), 953-961, 2017	341	2017
Towards the limit of network quantization Y Choi, M El-Khamy, J Lee arXiv preprint arXiv:1612.01543, 2016	209	2016
Residual LSTM: Design of a deep recurrent architecture for distant speech recognition J Kim, M El-Khamy, J Lee arXiv preprint arXiv:1701.03360, 2017	206	2017
Variable rate deep image compression with a conditional autoencoder Y Choi, M El-Khamy, J Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	199	2019
Adaptation of transmit power for neighboring nodes M Yavuz, S Nanda, MS El-Khamy US Patent 8,909,279, 2014	171	2014
Ntire 2020 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	170	2020
T-gsa: Transformer with gaussian-weighted self-attention for speech enhancement J Kim, M El-Khamy, J Lee ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020	157	2020
Iterative algebraic soft decision decoding of Reed-Solomon codes RJ El-Khamy, Mostafa and McEliece International Symposium on Information Theory and its Applications (ISITA …, 2004	117*	2004
Image super resolution based on fusing multiple convolution neural networks H Ren, M El-Khamy, J Lee Proceedings of the IEEE conference on computer vision and pattern …, 2017	107	2017
Method and system for encoding and decoding data using concatenated polar codes H Mahdavifar, M El-Khamy, J Lee, I Kang US Patent 9,362,956, 2016	106	2016
Polar coding for bit-interleaved coded modulation H Mahdavifar, M El-Khamy, J Lee, I Kang IEEE Transactions on Vehicular Technology 65 (5), 3115-3127, 2015	106	2015
Data-free network quantization with adversarial knowledge distillation Y Choi, J Choi, M El-Khamy, J Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	102	2020
HARQ rate-compatible polar codes for wireless channels M El-Khamy, J Lee, I Kang, LIN Hsien-Ping US Patent 9,742,440, 2017	102	2017
Universal deep neural network compression Y Choi, M El-Khamy, J Lee IEEE Journal of Selected Topics in Signal Processing 14 (4), 715-726, 2020	101	2020
Design of rate-compatible structured LDPC codes for hybrid ARQ applications M El-Khamy, J Hou, N Bhushan IEEE Journal on Selected Areas in Communications 27 (6), 965-973, 2009	101	2009
Performance limits and practical decoding of interleaved Reed-Solomon polar concatenated codes H Mahdavifar, M El-Khamy, J Lee, I Kang IEEE Transactions on Communications 62 (5), 1406-1417, 2014	83	2014
System and method for providing H-ARQ rate compatible codes for high throughput applications M El-Khamy, J Hou, N Bhushan US Patent 8,132,072, 2012	61	2012
Dn-resnet: Efficient deep residual network for image denoising H Ren, M El-Khamy, J Lee Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019	60	2019
On the construction and decoding of concatenated polar codes H Mahdavifar, M El-Khamy, J Lee, I Kang 2013 IEEE International Symposium on Information Theory, 952-956, 2013	59	2013
System and method for deep network fusion for fast and robust object detection M El-Khamy, X Du, J Lee US Patent 10,657,364, 2020	56	2020

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