On the Optimal Cyclic Delay Value in Cyclic Delay Diversity. - Yongjune Kim 001; Ho-Yun Kim; Minjoong Rim; Dae-Woon Lim (IEEE Trans. Broadcast., 2009)

Verify level control criteria for multi-level cell flash memories and their applications. - Yongjune Kim 001; Jaehong Kim 008; Jun Jin Kong; B. V. K. Vijaya Kumar; Xin Li 001 (EURASIP J. Adv. Signal Process., 2012)

Coding for memory with stuck-at defects. - Yongjune Kim 001; B. V. K. Vijaya Kumar (ICC, 2013)

Modulation coding for flash memories. - Yongjune Kim 001; B. V. K. Vijaya Kumar; Kyoung Lae Cho; Hongrak Son; Jaehong Kim 008; Jun Jin Kong; Jaejin Lee (ICNC, 2013)

Redundancy allocation of partitioned linear block codes. - Yongjune Kim 001; B. V. K. Vijaya Kumar (ISIT, 2013)

Writing on dirty flash memory. - Yongjune Kim 001; B. V. K. Vijaya Kumar (Allerton, 2014)

On the Duality of Erasures and Defects. - Yongjune Kim 001; B. V. K. Vijaya Kumar (CoRR, 2014)

Coding scheme for 3D vertical flash memory. - Yongjune Kim 001; Robert Mateescu; Seung-Hwan Song; Zvonimir Bandic; B. V. K. Vijaya Kumar (ICC, 2015)

Duality between erasures and defects. - Yongjune Kim 001; B. V. K. Vijaya Kumar (ITA, 2016)

Locally Rewritable Codes for Resistive Memories. - Yongjune Kim 001; Abhishek A. Sharma; Robert Mateescu; Seung-Hwan Song; Zvonimir Z. Bandic; James A. Bain; B. V. K. Vijaya Kumar (IEEE J. Sel. Areas Commun., 2016)

Writing on Dirty Memory. - Yongjune Kim 001 (2016)

Minimum precision requirements for the SVM-SGD learning algorithm. - Charbel Sakr; Ameya D. Patil; Sai Zhang; Yongjune Kim 001; Naresh R. Shanbhag (ICASSP, 2017)

Analytical Guarantees on Numerical Precision of Deep Neural Networks. - Charbel Sakr; Yongjune Kim 001; Naresh R. Shanbhag (ICML, 2017)

PredictiveNet: An energy-efficient convolutional neural network via zero prediction. - Yingyan Lin; Charbel Sakr; Yongjune Kim 001; Naresh R. Shanbhag (ISCAS, 2017)

Energy-Efficient Deep In-memory Architecture for NAND Flash Memories. - Sujan K. Gonugondla; Mingu Kang; Yongjune Kim 001; Mark Helm; Sean Eilert; Naresh R. Shanbhag (ISCAS, 2018)

SRAM Bit-line Swings Optimization using Generalized Waterfilling. - Yongjune Kim 001; Mingu Kang; Lav R. Varshney; Naresh R. Shanbhag (ISIT, 2018)

Redundancy allocation in finite-length nested codes for nonvolatile memories. - Yongjune Kim 001; B. V. K. Vijaya Kumar (J. Commun. Networks, 2018)

Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs. - Yongjune Kim 001; Mingu Kang; Lav R. Varshney; Naresh R. Shanbhag (IEEE Trans. Commun., 2018)

On the Optimal Refresh Power Allocation for Energy-Efficient Memories. - Yongjune Kim 001; Won Ho Choi; Cyril Guyot; Yuval Cassuto (GLOBECOM, 2019)

Boosting Classifiers with Noisy Inference. - Yongjune Kim 001; Yuval Cassuto; Lav R. Varshney (CoRR, 2019)

Minimum Precision Requirements of General Margin Hyperplane Classifiers. - Charbel Sakr; Yongjune Kim 001; Naresh R. Shanbhag (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Efficient Local Secret Sharing for Distributed Blockchain Systems. - Yongjune Kim 001; Ravi Kiran Raman; Young-Sik Kim; Lav R. Varshney; Naresh R. Shanbhag (IEEE Commun. Lett., 2019)

Shannon-Inspired Statistical Computing for the Nanoscale Era. - Naresh R. Shanbhag; Naveen Verma; Yongjune Kim 001; Ameya D. Patil; Lav R. Varshney (Proc. IEEE, 2019)

Distributed Boosting Classifiers over Noisy Channels. - Yongjune Kim 001; Yuval Cassuto; Lav R. Varshney (ACSSC, 2020)

Optimizing the Write Fidelity of MRAMs. - Yongjune Kim 001; Yoocharn Jeon; Cyril Guyot; Yuval Cassuto (ISIT, 2020)

Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs. - Mingu Kang; Yongjune Kim 001; Ameya D. Patil; Naresh R. Shanbhag (IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020)

Compression by and for Deep Boltzmann Machines. - Qing Li 002; Yang Chen 063; Yongjune Kim 001 (IEEE Trans. Commun., 2020)

Boosting for Straggling and Flipping Classifiers. - Yuval Cassuto; Yongjune Kim 001 (ISIT, 2021)

Weakly Private Information Retrieval Under Rényi Divergence. - Jun-Woo Tak; Sang-Hyo Kim; Yongjune Kim 001; Jong-Seon No (CoRR, 2021)

Optimizing Write Fidelity of MRAMs via Iterative Water-filling Algorithm. - Yongjune Kim 001; Yoocharn Jeon; Hyeokjin Choi; Cyril Guyot; Yuval Cassuto (CoRR, 2021)

Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Convolutions. - Eunsang Lee; Joon-Woo Lee; Junghyun Lee; Young-Sik Kim; Yongjune Kim 001; Jong-Seon No; Woosuk Choi (IACR Cryptol. ePrint Arch., 2021)

On the Efficient Estimation of Min-Entropy. - Yongjune Kim 001; Cyril Guyot; Young-Sik Kim (IEEE Trans. Inf. Forensics Secur., 2021)

High-Precision Bootstrapping for Approximate Homomorphic Encryption by Error Variance Minimization. - Yongwoo Lee 002; Joon-Woo Lee; Young-Sik Kim; Yongjune Kim 001; Jong-Seon No; HyungChul Kang (EUROCRYPT (1), 2022)

Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions. - Eunsang Lee; Joon-Woo Lee; Junghyun Lee; Young-Sik Kim; Yongjune Kim 001; Jong-Seon No; Woosuk Choi (ICML, 2022)

Mitigating Noise in Ensemble Classification with Real-Valued Base Functions. - Yuval Ben-Hur; Asaf Goren; Da El Klang; Yongjune Kim 001; Yuval Cassuto (ISIT, 2022)

Generalized Longest Repeated Substring Min-Entropy Estimator. - Jiheon Woo; Chanhee Yoo; Young-Sik Kim; Yuval Cassuto; Yongjune Kim 001 (ISIT, 2022)

Communication-Efficient and Drift-Robust Federated Learning via Elastic Net. - Seonhyeong Kim; Jiheon Woo; Daewon Seo; Yongjune Kim 001 (CoRR, 2022)

Neural Min-Sum Decoding for Generalized LDPC Codes. - Heeyoul Kwak; Jae-Won Kim; Yongjune Kim 001; Sang-Hyo Kim; Jong-Seon No (IEEE Commun. Lett., 2022)

Optimizing Write Fidelity of MRAMs by Alternating Water-Filling Algorithm. - Yongjune Kim 001; Yoocharn Jeon; Hyeokjin Choi; Cyril Guyot; Yuval Cassuto (IEEE Trans. Commun., 2022)

Writing on dirty flash memory: Combating inter-cell interference via coding with side information. - Yongjune Kim 001; Euiseok Hwang; B. V. K. Vijaya Kumar (J. Commun. Networks, 2022)

Rate-Distortion via Energy-Based Models. - Qing Li 002; Yongjune Kim 001; Cyril Guyot (DCC, 2023)

Boosting Learning for LDPC Codes to Improve the Error-Floor Performance. - Heeyoul Kwak; Daeyoung Yun; Yongjune Kim 001; Sang-Hyo Kim; Jong-Seon No (NeurIPS, 2023)

Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data. - Junghyun Lee; Eunsang Lee; Joon-Woo Lee; Yongjune Kim 001; Young-Sik Kim; Jong-Seon No (IEEE Access, 2023)

How to Mask in Error Correction Code Transformer: Systematic and Double Masking. - Seong-Joon Park; Heeyoul Kwak; Sang-Hyo Kim; Sunghwan Kim; Yongjune Kim 001; Jong-Seon No (CoRR, 2023)

Optimizing Layerwise Polynomial Approximation for Efficient Private Inference on Fully Homomorphic Encryption: A Dynamic Programming Approach. - Junghyun Lee; Eunsang Lee; Young-Sik Kim; Yongwoo Lee 002; Joon-Woo Lee; Yongjune Kim 001; Jong-Seon No (CoRR, 2023)

Distributed Boosting Classification Over Noisy Communication Channels. - Yongjune Kim 001; Junyoung Shin; Yuval Cassuto; Lav R. Varshney (IEEE J. Sel. Areas Commun., 2023)

Information and Energy Transmission With Wavelet-Reconstructed Harvesting Functions. - Daewon Seo; Yongjune Kim 001 (IEEE Trans. Commun., 2023)

Generalized LRS Estimator for Min-Entropy Estimation. - Jiheon Woo; Chanhee Yoo; Young-Sik Kim; Yuval Cassuto; Yongjune Kim 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Ensemble Classification With Noisy Real-Valued Base Functions. - Yuval Ben-Hur; Asaf Goren; Da El Klang; Yongjune Kim 001; Yuval Cassuto (IEEE J. Sel. Areas Commun., 2023)

A Context-Aware CEO Problem. - Daewon Seo; Sung Hoon Lim; Yongjune Kim 001 (IEEE Trans. Commun., 2023)

Neural Window Decoder for SC-LDPC Codes. - Daeyoung Yun; Heeyoul Kwak; Yongjune Kim 001; Sang-Hyo Kim; Jong-Seon No (CoRR, 2024)

Vision Transformer-based Semantic Communications With Importance-Aware Quantization. - Joohyuk Park; Yongjeong Oh; Yongjune Kim 001; Yo-Seb Jeon (CoRR, 2024)

New private information retrieval codes for imperfect privacy. - Jun-Woo Tak; Sang-Hyo Kim; Yongjune Kim 001; Jong-Seon No (ICT Express, 2024)

Attention-Aware Semantic Communications for Collaborative Inference. - Jiwoong Im; Nayoung Kwon; Taewoo Park; Jiheon Woo; Jaeho Lee 001; Yongjune Kim 001 (IEEE Internet Things J., 2024)

CrossMPT: Cross-attention Message-passing Transformer for Error Correcting Codes. - Seong-Joon Park; Heeyoul Kwak; Sang-Hyo Kim; Yongjune Kim 001; Jong-Seon No (ICLR, 2025)

Lowering the Error Floor of Error Correction Code Transformer. - Taewoo Park; Seong-Joon Park; Heeyoul Kwak; Sang-Hyo Kim; Yongjune Kim 001 (CoRR, 2025)

Robust Deep Joint Source Channel Coding for Task-Oriented Semantic Communications. - Taewoo Park; Eunhye Hong; Yo-Seb Jeon; Namyoon Lee; Yongjune Kim 001 (CoRR, 2025)

Mutual Information Minimization for Side-Channel Attack Resistance via Optimal Noise Injection. - Jiheon Woo; Daewon Seo; Young-Sik Kim; Namyoon Lee; Yuval Cassuto; Yongjune Kim 001 (CoRR, 2025)

Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks. - Heeyoul Kwak; Daeyoung Yun; Yongjune Kim 001; Sang-Hyo Kim; Jong-Seon No (IEEE J. Sel. Areas Commun., 2025)

Quantizing for Noisy Flash Memory Channels. - Juyun Oh; Taewoo Park; Jiwoong Im; Yuval Cassuto; Yongjune Kim 001 (CoRR, 2025)

Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks. - Seong-Joon Park; Heeyoul Kwak; Sang-Hyo Kim; Yongjune Kim 001; Jong-Seon No (CoRR, 2025)

Multiple-Masks Error Correction Code Transformer for Short Block Codes. - Seong-Joon Park; Heeyoul Kwak; Sang-Hyo Kim; Sunghwan Kim; Yongjune Kim 001; Jong-Seon No (IEEE J. Sel. Areas Commun., 2025)