default search action
Timothy J. O'Shea
Person information
- affiliation: Virginia Tech, Arlington, USA
- affiliation: DeepSig, Inc., Arlington, USA
Other persons with the same name
- Tim O'Shea — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c26]Majumder Haider, Imtiaz Ahmed, Fadel Lashhab, Tim O'Shea, Danda B. Rawat, Mohammad Matin:
Data-Driven Design for IRS-Assisted Massive Multi-Modal Sensing in Industry 5.0. ICC Workshops 2024: 632-637 - [c25]Padmaksha Roy
, Himanshu Singhal
Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data. PAKDD (1) 2024: 66-77 - [c24]Johnathan Corgan, Nitin Nair, Rajib Bhattacharjea, Wan Liu, Serhat Tadik, Tom Tsou, Timothy J. O'Shea:
How Critical is Site-Specific RAN Optimization? 5G Open-RAN Uplink Air Interface Performance Test and Optimization from Macro-Cell CIR Data. VTC Fall 2024: 1-5 - [i24]Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus:
Deep Learning Based Joint Multi-User MISO Power Allocation and Beamforming Design. CoRR abs/2406.08373 (2024) - [i23]Johnathan Corgan, Nitin Nair, Rajib Bhattacharjea, Wan Liu, Serhat Tadik, Tom Tsou, Timothy J. O'Shea:
How Critical is Site-Specific RAN Optimization? 5G Open-RAN Uplink Air Interface Performance Test and Optimization from Macro-Cell CIR Data. CoRR abs/2410.19565 (2024) - 2023
- [i22]Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus:
Deep Learning Based Uplink Multi-User SIMO Beamforming Design. CoRR abs/2309.16603 (2023) - 2022
- [j6]Jinxiang Song
Benchmarking and Interpreting End-to-End Learning of MIMO and Multi-User Communication. IEEE Trans. Wirel. Commun. 21(9): 7287-7298 (2022) - [c23]Xinliang Zhang, Mojtaba Vaezi, Timothy J. O'Shea:
SVD-Embedded Deep Autoencoder for MIMO Communications. ICC 2022: 5190-5195 - [c22]Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan:
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. ICDM 2022: 1161-1166 - [c21]Gopikrishna Rathinavel, Nikhil Muralidhar, Naren Ramakrishnan, Timothy J. O'Shea:
Efficient Generative Wireless Anomaly Detection for Next Generation Networks. MILCOM 2022: 594-599 - [c20]Blake Barnes-Cook, Timothy J. O'Shea:
Scalable Wireless Anomaly Detection with Generative-LSTMs on RF Post-Detection Metadata. WCNC 2022: 483-488 - [i21]Jinxiang Song, Christian Häger, Jochen Schröder, Timothy J. O'Shea, Erik Agrell, Henk Wymeersch:
Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication. CoRR abs/2203.07703 (2022) - [i20]Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. CoRR abs/2210.02841 (2022) - 2021
- [j5]Chunxiao Jiang, Guoru Ding
IEEE TCCN Special Section Editorial: Machine Learning and Artificial Intelligence for the Physical Layer. IEEE Trans. Cogn. Commun. Netw. 7(1): 1-4 (2021) - [c19]Nathan E. West, Timothy J. O'Shea, Tamoghna Roy:
A Wideband Signal Recognition Dataset. SPAWC 2021: 6-10 - [i19]Xinliang Zhang, Mojtaba Vaezi, Timothy J. O'Shea:
SVD-Embedded Deep Autoencoder for MIMO Communications. CoRR abs/2111.02359 (2021) - 2020
- [j4]H. Birkan Yilmaz
Special issue on advances and applications of artificial intelligence and machine learning for wireless communications. J. Commun. Networks 22(3): 173-176 (2020) - [c18]Jinxiang Song, Christian Häger, Jochen Schröder, Tim O'Shea, Henk Wymeersch
Benchmarking End-to-end Learning of MIMO Physical-Layer Communication. GLOBECOM 2020: 1-6 - [p1]Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi
Deep Learning for Wireless Communications. Development and Analysis of Deep Learning Architectures 2020: 223-266 - [i18]Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy:
Deep Learning for Wireless Communications. CoRR abs/2005.06068 (2020)
2010 – 2019
- 2019
- [c17]Timothy J. O'Shea, Tamoghna Roy, Nathan E. West:
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks. ICNC 2019: 681-686 - [c16]Tamoghna Roy, Tim O'Shea, Nathan E. West:
Generative Adversarial Radio Spectrum Networks. WiseML@WiSec 2019: 12-15 - 2018
- [j3]Timothy J. O'Shea
Over-the-Air Deep Learning Based Radio Signal Classification. IEEE J. Sel. Top. Signal Process. 12(1): 168-179 (2018) - [c15]Timothy J. O'Shea, Tamoghna Roy, Nathan E. West, Benjamin C. Hilburn:
Demonstrating Deep Learning Based Communications Systems Over the Air In Practice. DySPAN 2018: 1-2 - [c14]Timothy J. O'Shea, Tamoghna Roy, Nathan E. West, Benjamin C. Hilburn:
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks. EUSIPCO 2018: 529-532 - [c13]Tugba Erpek, Timothy J. O'Shea, T. Charles Clancy:
Learning a Physical Layer Scheme for the MIMO Interference Channel. ICC 2018: 1-5 - [i17]Timothy J. O'Shea, Tamoghna Roy, Nathan E. West, Benjamin C. Hilburn:
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks. CoRR abs/1803.03145 (2018) - [i16]Timothy J. O'Shea, Tamoghna Roy, Nathan E. West:
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks. CoRR abs/1805.06350 (2018) - 2017
- [b1]Timothy J. O'Shea:
Learning from Data in Radio Algorithm Design. Virginia Tech, Blacksburg, VA, USA, 2017 - [j2]Timothy J. O'Shea
An Introduction to Deep Learning for the Physical Layer. IEEE Trans. Cogn. Commun. Netw. 3(4): 563-575 (2017) - [c12]Tim O'Shea, Tamoghna Roy, T. Charles Clancy:
Learning robust general radio signal detection using computer vision methods. ACSSC 2017: 829-832 - [c11]Timothy J. O'Shea, Tugba Erpek, T. Charles Clancy:
Physical layer deep learning of encodings for the MIMO fading channel. Allerton 2017: 76-80 - [c10]Nathan E. West
Deep architectures for modulation recognition. DySPAN 2017: 1-6 - [c9]Timothy J. O'Shea, Tamoghna Roy, Tugba Erpek:
Spectral detection and localization of radio events with learned convolutional neural features. EUSIPCO 2017: 331-335 - [c8]Tim O'Shea, Kiran Karra, T. Charles Clancy:
Learning approximate neural estimators for wireless channel state information. MLSP 2017: 1-7 - [i15]Timothy J. O'Shea, Jakob Hoydis:
An Introduction to Machine Learning Communications Systems. CoRR abs/1702.00832 (2017) - [i14]Nathan E. West, Timothy J. O'Shea:
Deep Architectures for Modulation Recognition. CoRR abs/1703.09197 (2017) - [i13]Timothy J. O'Shea, Kiran Karra, T. Charles Clancy:
Learning Approximate Neural Estimators for Wireless Channel State Information. CoRR abs/1707.06260 (2017) - [i12]Timothy J. O'Shea, Tugba Erpek, T. Charles Clancy:
Deep Learning Based MIMO Communications. CoRR abs/1707.07980 (2017) - [i11]Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy:
Over the Air Deep Learning Based Radio Signal Classification. CoRR abs/1712.04578 (2017) - 2016
- [c7]Timothy J. O'Shea, Latha Pemula, Dhruv Batra, T. Charles Clancy:
Radio transformer networks: Attention models for learning to synchronize in wireless systems. ACSSC 2016: 662-666 - [c6]Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy:
Convolutional Radio Modulation Recognition Networks. EANN 2016: 213-226 - [c5]Timothy J. O'Shea, Seth D. Hitefield, Johnathan Corgan:
End-to-end radio traffic sequence recognition with recurrent neural networks. GlobalSIP 2016: 277-281 - [c4]Timothy J. O'Shea, Kiran Karra, T. Charles Clancy:
Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention. ISSPIT 2016: 223-228 - [c3]Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy:
Unsupervised representation learning of structured radio communication signals. SPLINE 2016: 1-5 - [i10]Timothy J. O'Shea, Johnathan Corgan:
Convolutional Radio Modulation Recognition Networks. CoRR abs/1602.04105 (2016) - [i9]Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy:
Unsupervised Representation Learning of Structured Radio Communication Signals. CoRR abs/1604.07078 (2016) - [i8]Timothy J. O'Shea, Kiran Karra:
GNU Radio Signal Processing Models for Dynamic Multi-User Burst Modems. CoRR abs/1604.08397 (2016) - [i7]Timothy J. O'Shea, Adam Mondl, T. Charles Clancy:
A Modest Proposal for Open Market Risk Assessment to Solve the Cyber-Security Problem. CoRR abs/1604.08675 (2016) - [i6]Timothy J. O'Shea, Latha Pemula, Dhruv Batra, T. Charles Clancy:
Radio Transformer Networks: Attention Models for Learning to Synchronize in Wireless Systems. CoRR abs/1605.00716 (2016) - [i5]Timothy J. O'Shea, T. Charles Clancy:
Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent. CoRR abs/1605.09221 (2016) - [i4]Timothy J. O'Shea, Kiran Karra, T. Charles Clancy:
Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention. CoRR abs/1608.06409 (2016) - [i3]Timothy J. O'Shea, Seth D. Hitefield, Johnathan Corgan:
End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural Networks. CoRR abs/1610.00564 (2016) - [i2]Timothy J. O'Shea, T. Charles Clancy, Robert W. McGwier:
Recurrent Neural Radio Anomaly Detection. CoRR abs/1611.00301 (2016) - [i1]Timothy J. O'Shea, Nathan E. West, Matthew Vondal, T. Charles Clancy:
Semi-Supervised Radio Signal Identification. CoRR abs/1611.00303 (2016) - 2014
- [c2]C. Carlson, Vieny Nguyen, Seth D. Hitefield, Timothy J. O'Shea, T. Charles Clancy:
Measuring smart jammer strategy efficacy over the air. CNS 2014: 7-13 - [c1]Seth D. Hitefield, Vieny Nguyen, C. Carlson, Timothy J. O'Shea, T. Charles Clancy:
Demonstrated LLC-layer attack and defense strategies for wireless communication systems. CNS 2014: 60-66
2000 – 2009
- 2007
- [j1]Charles Clancy, Joe Hecker, Erich P. Stuntebeck, Timothy J. O'Shea:
Applications of Machine Learning to Cognitive Radio Networks. IEEE Wirel. Commun. 14(4): 47-52 (2007)
Coauthor Index
aka: Charles Clancy
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 21:41 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: