Haewon Jeong
Orcid: 0009-0008-3254-4834
According to our database1,
Haewon Jeong
authored at least 32 papers
between 2012 and 2024.
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Bibliography
2024
ReDiFine: Reusable Diffusion Finetuning for Mitigating Degradation in the Chain of Diffusion.
CoRR, 2024
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation.
CoRR, 2024
Coded Computing Meets Quantum Circuit Simulation: Coded Parallel Tensor Network Contraction Algorithm.
Proceedings of the IEEE International Symposium on Information Theory, 2024
2023
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise.
CoRR, 2023
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise.
Proceedings of the IEEE International Symposium on Information Theory, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Differentially Private Distributed Matrix Multiplication: Fundamental Accuracy-Privacy Trade-Off Limits.
Proceedings of the IEEE International Symposium on Information Theory, 2022
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
ϵ-Approximate Coded Matrix Multiplication Is Nearly Twice as Efficient as Exact Multiplication.
IEEE J. Sel. Areas Inf. Theory, 2021
E-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication.
Proceedings of the IEEE International Symposium on Information Theory, 2021
2020
IEEE Trans. Inf. Theory, 2020
Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing.
Proc. IEEE, 2020
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the Euro-Par 2020: Parallel Processing, 2020
2019
Proc. IEEE, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication.
CoRR, 2018
A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
2015
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015
An information theoretic technique for harnessing attenuation of high spatial frequencies to design ultra-high-density EEG.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015
2014
Proceedings of the 11th USENIX Symposium on Networked Systems Design and Implementation, 2014
2012