Yongjune Kim
Orcid: 0000-0003-0120-3750Affiliations:
- Pohang University of Science and Technology (POSTECH), Department of Electrical Engineering, South Korea
- Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea (former)
- Western Digital Research, Milpitas, CA, USA (former)
- Carnegie Mellon University, Pittsburgh, PA, USA (former, PhD 2016)
According to our database1,
Yongjune Kim
authored at least 54 papers
between 2009 and 2024.
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Bibliography
2024
IEEE Internet Things J., November, 2024
Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks.
CoRR, 2024
CoRR, 2024
2023
IEEE J. Sel. Areas Commun., April, 2023
IEEE Trans. Inf. Forensics Secur., 2023
IEEE Trans. Commun., 2023
IEEE J. Sel. Areas Commun., 2023
Optimizing Layerwise Polynomial Approximation for Efficient Private Inference on Fully Homomorphic Encryption: A Dynamic Programming Approach.
CoRR, 2023
CoRR, 2023
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data.
IEEE Access, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Data Compression Conference, 2023
2022
Writing on dirty flash memory: Combating inter-cell interference via coding with side information.
J. Commun. Networks, December, 2022
IEEE Trans. Commun., 2022
CoRR, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions.
Proceedings of the International Conference on Machine Learning, 2022
High-Precision Bootstrapping for Approximate Homomorphic Encryption by Error Variance Minimization.
Proceedings of the Advances in Cryptology - EUROCRYPT 2022 - 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, Trondheim, Norway, May 30, 2022
2021
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Convolutions.
IACR Cryptol. ePrint Arch., 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
2020
Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs.
IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
IEEE Commun. Lett., 2019
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
IEEE Trans. Commun., 2018
J. Commun. Networks, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Proceedings of the 2016 Information Theory and Applications Workshop, 2016
2015
Proceedings of the 2015 IEEE International Conference on Communications, 2015
2014
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the International Conference on Computing, Networking and Communications, 2013
Proceedings of IEEE International Conference on Communications, 2013
2012
Verify level control criteria for multi-level cell flash memories and their applications.
EURASIP J. Adv. Signal Process., 2012
2009
IEEE Trans. Broadcast., 2009