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ORCIDYongjune Kim 0001
Person information
- unicode name: 김용준
- affiliation: Pohang University of Science and Technology (POSTECH), Department of Electrical Engineering, South Korea
- affiliation (former): Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea
- affiliation (former): Western Digital Research, Milpitas, CA, USA
- affiliation (former, PhD 2016): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Yongjune Kim 0002 — Sogang University, Seoul, Korea
- Yongjune Kim 0003
![[0000-0003-4724-8962]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4724-8962")
— Hongik University, Metamaterial Electronic Device Research Center, Seoul, South Korea
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2020 – today
- 2023
[j20]Junghyun Lee, Eunsang Lee, Joon-Woo Lee, Yongjune Kim, Young-Sik Kim, Jong-Seon No:
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data. IEEE Access 11: 62062-62076 (2023)- [j19]Yongjune Kim, Junyoung Shin, Yuval Cassuto, Lav R. Varshney:
Distributed Boosting Classification Over Noisy Communication Channels. IEEE J. Sel. Areas Commun. 41(1): 141-154 (2023) - [j18]Yuval Ben-Hur, Asaf Goren, Da El Klang, Yongjune Kim, Yuval Cassuto:
Ensemble Classification With Noisy Real-Valued Base Functions. IEEE J. Sel. Areas Commun. 41(4): 1067-1080 (2023) - [j17]Daewon Seo, Yongjune Kim:
Information and Energy Transmission With Wavelet-Reconstructed Harvesting Functions. IEEE Trans. Commun. 71(6): 3274-3287 (2023) - [j16]Daewon Seo, Sung Hoon Lim, Yongjune Kim:
A Context-Aware CEO Problem. IEEE Trans. Commun. 71(12): 6979-6992 (2023) - [j15]Jiheon Woo, Chanhee Yoo, Young-Sik Kim, Yuval Cassuto, Yongjune Kim:
Generalized LRS Estimator for Min-Entropy Estimation. IEEE Trans. Inf. Forensics Secur. 18: 3305-3317 (2023) - [c23]Qing Li, Yongjune Kim, Cyril Guyot:
Rate-Distortion via Energy-Based Models. DCC 2023: 351 - [c22]Heeyoul Kwak, Daeyoung Yun, Yongjune Kim, Sang-Hyo Kim, Jong-Seon No:
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance. NeurIPS 2023 - [i26]Daewon Seo, Yongjune Kim:
Information and Energy Transmission with Wavelet-Reconstructed Harvesting Functions. CoRR abs/2304.01560 (2023) - [i25]Seong-Joon Park, Heeyoul Kwak, Sang-Hyo Kim, Sunghwan Kim, Yongjune Kim, Jong-Seon No:
How to Mask in Error Correction Code Transformer: Systematic and Double Masking. CoRR abs/2308.08128 (2023) - [i24]Daewon Seo, Sung Hoon Lim, Yongjune Kim:
A Context-Aware CEO Problem. CoRR abs/2310.02537 (2023) - [i23]Heeyoul Kwak, Daeyoung Yun, Yongjune Kim, Sang-Hyo Kim, Jong-Seon No:
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance. CoRR abs/2310.07194 (2023) - [i22]Junghyun Lee, Eunsang Lee, Young-Sik Kim, Yongwoo Lee, Joon-Woo Lee, Yongjune Kim, Jong-Seon No:
Optimizing Layerwise Polynomial Approximation for Efficient Private Inference on Fully Homomorphic Encryption: A Dynamic Programming Approach. CoRR abs/2310.10349 (2023) - 2022
- [j14]Heeyoul Kwak, Jae-Won Kim, Yongjune Kim, Sang-Hyo Kim, Jong-Seon No:
Neural Min-Sum Decoding for Generalized LDPC Codes. IEEE Commun. Lett. 26(12): 2841-2845 (2022) - [j13]Yongjune Kim, Euiseok Hwang, B. V. K. Vijaya Kumar:
Writing on dirty flash memory: Combating inter-cell interference via coding with side information. J. Commun. Networks 24(6): 633-644 (2022) - [j12]Yongjune Kim, Yoocharn Jeon, Hyeokjin Choi, Cyril Guyot, Yuval Cassuto:
Optimizing Write Fidelity of MRAMs by Alternating Water-Filling Algorithm. IEEE Trans. Commun. 70(9): 5825-5836 (2022) - [c21]Yongwoo Lee, Joon-Woo Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, HyungChul Kang:
High-Precision Bootstrapping for Approximate Homomorphic Encryption by Error Variance Minimization. EUROCRYPT (1) 2022: 551-580 - [c20]Eunsang Lee, Joon-Woo Lee, Junghyun Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, Woosuk Choi:
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions. ICML 2022: 12403-12422 - [c19]Jiheon Woo, Chanhee Yoo, Young-Sik Kim, Yuval Cassuto, Yongjune Kim:
Generalized Longest Repeated Substring Min-Entropy Estimator. ISIT 2022: 342-347 - [c18]Daewon Seo, Yongjune Kim:
Information and Energy Transmission with Wavelet-Reconstructed Harvesting Functions. ISIT 2022: 754-759 - [c17]Yuval Ben-Hur, Asaf Goren, Da El Klang, Yongjune Kim, Yuval Cassuto:
Mitigating Noise in Ensemble Classification with Real-Valued Base Functions. ISIT 2022: 2279-2284 - [i21]Seonhyeong Kim, Jiheon Woo, Daewon Seo, Yongjune Kim:
Communication-Efficient and Drift-Robust Federated Learning via Elastic Net. CoRR abs/2210.02940 (2022) - 2021
- [j11]Yongjune Kim, Cyril Guyot, Young-Sik Kim:
On the Efficient Estimation of Min-Entropy. IEEE Trans. Inf. Forensics Secur. 16: 3013-3025 (2021) - [c16]Yuval Cassuto, Yongjune Kim:
Boosting for Straggling and Flipping Classifiers. ISIT 2021: 2441-2446 - [i20]Jun-Woo Tak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No:
Weakly Private Information Retrieval Under Rényi Divergence. CoRR abs/2105.08114 (2021) - [i19]Junghyun Lee, Eunsang Lee, Joon-Woo Lee, Yongjune Kim, Young-Sik Kim, Jong-Seon No:
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data. CoRR abs/2105.10879 (2021) - [i18]Yongjune Kim, Yoocharn Jeon, Hyeokjin Choi, Cyril Guyot, Yuval Cassuto:
Optimizing Write Fidelity of MRAMs via Iterative Water-filling Algorithm. CoRR abs/2112.02842 (2021) - [i17]Jiheon Woo, Chanhee Yoo, Young-Sik Kim, Yuval Cassuto, Yongjune Kim:
Generalized LRS Estimator for Min-entropy Estimation. CoRR abs/2112.09376 (2021) - [i16]Eunsang Lee, Joon-Woo Lee, Junghyun Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, Woosuk Choi:
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Convolutions. IACR Cryptol. ePrint Arch. 2021: 1688 (2021) - 2020
- [j10]Mingu Kang, Yongjune Kim, Ameya D. Patil, Naresh R. Shanbhag:
Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(5): 1627-1639 (2020) - [j9]Qing Li, Yang Chen, Yongjune Kim:
Compression by and for Deep Boltzmann Machines. IEEE Trans. Commun. 68(12): 7498-7510 (2020) - [c15]Yongjune Kim, Yuval Cassuto, Lav R. Varshney:
Distributed Boosting Classifiers over Noisy Channels. ACSSC 2020: 1491-1496 - [c14]Yongjune Kim, Yoocharn Jeon, Cyril Guyot, Yuval Cassuto:
Optimizing the Write Fidelity of MRAMs. ISIT 2020: 792-797 - [i15]Yongjune Kim, Yoocharn Jeon, Cyril Guyot, Yuval Cassuto:
Optimizing the Write Fidelity of MRAMs. CoRR abs/2001.03803 (2020) - [i14]Yongjune Kim, Cyril Guyot, Young-Sik Kim:
On the Efficient Estimation of Min-Entropy. CoRR abs/2009.09570 (2020) - [i13]Yongjune Kim, Cyril Guyot, Young-Sik Kim:
On the Efficient Estimation of Min-Entropy. IACR Cryptol. ePrint Arch. 2020: 1140 (2020)
2010 – 2019
- 2019
- [j8]Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag:
Minimum Precision Requirements of General Margin Hyperplane Classifiers. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 253-266 (2019) - [j7]Yongjune Kim, Ravi Kiran Raman, Young-Sik Kim, Lav R. Varshney, Naresh R. Shanbhag:
Efficient Local Secret Sharing for Distributed Blockchain Systems. IEEE Commun. Lett. 23(2): 282-285 (2019) - [j6]Naresh R. Shanbhag, Naveen Verma, Yongjune Kim, Ameya D. Patil, Lav R. Varshney:
Shannon-Inspired Statistical Computing for the Nanoscale Era. Proc. IEEE 107(1): 90-107 (2019) - [c13]Yongjune Kim, Won Ho Choi, Cyril Guyot, Yuval Cassuto:
On the Optimal Refresh Power Allocation for Energy-Efficient Memories. GLOBECOM 2019: 1-6 - [i12]Yongjune Kim, Won Ho Choi, Cyril Guyot, Yuval Cassuto:
On the Optimal Refresh Power Allocation for Energy-Efficient Memories. CoRR abs/1907.01112 (2019) - [i11]Yongjune Kim, Yuval Cassuto, Lav R. Varshney:
Boosting Classifiers with Noisy Inference. CoRR abs/1909.04766 (2019) - 2018
- [j5]Yongjune Kim, B. V. K. Vijaya Kumar:
Redundancy allocation in finite-length nested codes for nonvolatile memories. J. Commun. Networks 20(4): 354-365 (2018) - [j4]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs. IEEE Trans. Commun. 66(10): 4826-4841 (2018) - [c12]Sujan K. Gonugondla, Mingu Kang, Yongjune Kim, Mark Helm, Sean Eilert, Naresh R. Shanbhag:
Energy-Efficient Deep In-memory Architecture for NAND Flash Memories. ISCAS 2018: 1-5 - [c11]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
SRAM Bit-line Swings Optimization using Generalized Waterfilling. ISIT 2018: 1670-1674 - [i10]Yongjune Kim, B. V. K. Vijaya Kumar:
Redundancy allocation in finite-length nested codes for nonvolatile memories. CoRR abs/1803.00117 (2018) - 2017
- [c10]Charbel Sakr, Ameya D. Patil, Sai Zhang, Yongjune Kim, Naresh R. Shanbhag:
Minimum precision requirements for the SVM-SGD learning algorithm. ICASSP 2017: 1138-1142 - [c9]Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag:
Analytical Guarantees on Numerical Precision of Deep Neural Networks. ICML 2017: 3007-3016 - [c8]Yingyan Lin, Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag:
PredictiveNet: An energy-efficient convolutional neural network via zero prediction. ISCAS 2017: 1-4 - [i9]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
Generalized Water-filling for Source-Aware Energy-Efficient SRAMs. CoRR abs/1710.07153 (2017) - 2016
- [b1]Yongjune Kim:
Writing on Dirty Memory. Carnegie Mellon University, USA, 2016 - [j3]Yongjune Kim, Abhishek A. Sharma, Robert Mateescu, Seung-Hwan Song, Zvonimir Z. Bandic, James A. Bain, B. V. K. Vijaya Kumar:
Locally Rewritable Codes for Resistive Memories. IEEE J. Sel. Areas Commun. 34(9): 2470-2485 (2016) - [c7]Yongjune Kim, Abhishek A. Sharma, Robert Mateescu, Seung-Hwan Song, Zvonimir Z. Bandic, James A. Bain, B. V. K. Vijaya Kumar:
Locally rewritable codes for resistive memories. ICC 2016: 1-7 - [c6]Yongjune Kim, B. V. K. Vijaya Kumar:
Duality between erasures and defects. ITA 2016: 1-10 - [i8]Yongjune Kim, Abhishek A. Sharma, Robert Mateescu, Seung-Hwan Song, Zvonimir Z. Bandic, James A. Bain, B. V. K. Vijaya Kumar:
Locally rewritable codes for resistive memories. CoRR abs/1602.01202 (2016) - [i7]Yongjune Kim, B. V. K. Vijaya Kumar:
Duality between erasures and defects. CoRR abs/1602.03536 (2016) - 2015
- [c5]Yongjune Kim, Robert Mateescu, Seung-Hwan Song, Zvonimir Bandic, B. V. K. Vijaya Kumar:
Coding scheme for 3D vertical flash memory. ICC 2015: 264-270 - 2014
- [c4]Yongjune Kim, B. V. K. Vijaya Kumar:
Writing on dirty flash memory. Allerton 2014: 513-520 - [i6]Yongjune Kim, B. V. K. Vijaya Kumar:
On the Duality of Erasures and Defects. CoRR abs/1403.1897 (2014) - [i5]Yongjune Kim, B. V. K. Vijaya Kumar:
Writing on dirty flash memory. CoRR abs/1410.1775 (2014) - [i4]Yongjune Kim, Robert Mateescu, Seung-Hwan Song, Zvonimir Bandic, B. V. K. Vijaya Kumar:
Coding scheme for 3D vertical flash memory. CoRR abs/1410.8541 (2014) - 2013
- [c3]Yongjune Kim, B. V. K. Vijaya Kumar:
Coding for memory with stuck-at defects. ICC 2013: 4347-4352 - [c2]Yongjune Kim, B. V. K. Vijaya Kumar, Kyoung Lae Cho, Hongrak Son, Jaehong Kim, Jun Jin Kong, Jaejin Lee:
Modulation coding for flash memories. ICNC 2013: 961-967 - [c1]Yongjune Kim, B. V. K. Vijaya Kumar:
Redundancy allocation of partitioned linear block codes. ISIT 2013: 2374-2378 - [i3]Yongjune Kim, Kyoung Lae Cho, Hongrak Son, Jaehong Kim, Jun Jin Kong, Jaejin Lee, B. V. K. Vijaya Kumar:
Modulation Coding for Flash Memories. CoRR abs/1304.4811 (2013) - [i2]Yongjune Kim, B. V. K. Vijaya Kumar:
Coding for Memory with Stuck-at Defects. CoRR abs/1304.4821 (2013) - [i1]Yongjune Kim, B. V. K. Vijaya Kumar:
Redundancy Allocation of Partitioned Linear Block Codes. CoRR abs/1305.3289 (2013) - 2012
- [j2]Yongjune Kim, Jaehong Kim, Jun Jin Kong, B. V. K. Vijaya Kumar, Xin Li:
Verify level control criteria for multi-level cell flash memories and their applications. EURASIP J. Adv. Signal Process. 2012: 196 (2012)
2000 – 2009
- 2009
- [j1]Yongjune Kim, Ho-Yun Kim, Minjoong Rim, Dae-Woon Lim:
On the Optimal Cyclic Delay Value in Cyclic Delay Diversity. IEEE Trans. Broadcast. 55(4): 790-795 (2009)
Coauthor Index
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