Papers

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(bold: iil members, *: corresponding author)

Preprints

1. Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim, Yongjune Kim*, and Jong-Seon No, "CrossMPT: Cross-attention message-passing transformer for error correcting codes," arXiv. [link] 

2. Jaehee Kim, Sangbu Yun, Yongjune Kim, and Youngjoo Lee, "Novel two-stage ordered statistics decoding for short-length BCH codes," submitted. 

3. Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim*, Sang-Hyo Kim*, and Jong-Seon No, "Boosted neural decoders: Achieving extreme reliability of LDPC codes for 6G networks," submitted. 

4. Jiwoong Im, Nayoung Kwon, Taewoo Park, Jiheon Woo, Jaeho Lee, and Yongjune Kim*, "Attention-aware semantic communications for collaborative inference," submitted. [arXiv] [TechRxiv] 

5. Junghyun Lee, Eunsang Lee, Young-Sik Kim, Yongwoo Lee, Joon-Woo Lee*, Yongjune Kim*, and Jong-Seon No, "Optimizing layerwise polynomial approximation for efficient private inference on fully homomorphic encryption: A dynamic programming approach," arXiv. [link] 

6. Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim*, Sunghwan Kim, Yongjune Kim*, and Jong-Seon No, "How to mask in error correction code transformer: Systematic and double masking," arXiv. [link] (Silver Prize at Samsung HumanTech 2024)

7. Jun-Woo Tak, Sang-Hyo Kim*, Yongjune Kim*, and Jong-Seon No, "Weakly private information retrieval under Renyi divergence," submitted.

8. Jun-Woo Tak, Sang-Hyo Kim*, Yongjune Kim*, and Jong-Seon No, "New private information retrieval codes for imperfect privacy," submitted. 

Journal & Selective CS Conference Papers

1. Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim*, Sang-Hyo Kim*, and Jong-Seon No, "Boosting learning for LDPC codes to improve the error-floor performance," Conference on Neural Information Processing Systems (NeurIPS), Dec. 2023. [link]

2. Daewon Seo, Sung Hoon Lim, and Yongjune Kim*, "A context-aware CEO problem," IEEE Transactions on Communications (TCOM), vol. 71, no. 12, pp. 6979–6992, Dec. 2023. [link]

3. Daewon Seo and Yongjune Kim*, "Information and energy transmission with wavelet-reconstructed harvesting functions," IEEE Transactions on Communications (TCOM), vol. 71, no. 6, pp. 3274–3287, Jun. 2023. [link]

4. Junghyun Lee, Eunsang Lee, Joon-Woo Lee, Yongjune Kim, Young-Sik Kim, and Jong-Seon No, "Precise approximation of convolutional neural networks for homomorphically encrypted data," IEEE Access, vol. 11, pp. 62062–62076, Jun. 2023. [link]

5. Jiheon Woo, Chanhee Yoo, Young-Sik Kim, Yuval Cassuto, and Yongjune Kim*, "Generalized LRS estimator for min-entropy estimation," IEEE Transactions on Information Forensics and Security (TIFS), vol. 18, pp. 3305–3317, May 2023. [link]

6. Yuval Ben-Hur, Asaf Goren, Da-El Klang, Yongjune Kim, and Yuval Cassuto, "Ensemble classification with noisy real-valued base-functions," IEEE Journal on Selected Areas in Communications (JSAC), vol. 41, no. 4, pp. 1067–1080, Apr. 2023. (Special Issue on Communication-Efficient Distributed Learning over Networks) [link]

7. Yongjune Kim, Junyoung Shin, Yuval Cassuto, and Lav R. Varshney, "Distributed boosting classification over noisy communication channels," IEEE Journal on Selected Areas in Communications (JSAC), vol. 41, no. 1, pp. 141–154, Jan. 2023. (Special Issue on Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications) [link] 

8. Yongjune Kim, Euiseok Hwang, and B. V. K. Vijaya Kumar, "Writing on dirty flash memory: Combating inter-cell interference via coding with side information," Journal of Communications and Networks (JCN), vol. 24, no. 6, pp. 633–644, Dec. 2022. [link]

9. Hee-Youl Kwak, Jae-Won Kim, Yongjune Kim, Sang-Hyo Kim, and Jong-Seon No, "Neural min-sum decoding for generalized LDPC codes," IEEE Communications Letters (CL), vol. 26, no. 12, pp. 2841–2845, Dec. 2022. [link]

10. Yongjune Kim, Yoocharn Jeon, Hyeokjin Choi, Cyril Guyot, and Yuval Cassuto, "Optimizing write fidelity of MRAMs by alternating water-filling algorithm," IEEE Transactions on Communications (TCOM), vol. 70, no. 9, pp. 5825–5836, Sep. 2022. [link]

11. Eunsang Lee, Joon-Woo Lee, Junghyun Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, and Woosuk Choi, "Low-complexity deep convolutional neural networks on fully homomorphic encryption using multiplexed parallel convolutions," International Conference on Machine Learning (ICML), Jul. 2022. [link]

12. Yongwoo Lee, Joon-Woo Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, and HyungChul Kang, "High-precision bootstrapping for approximate homomorphic encryption by error variance minimization," Eurocrypt, May–Jun. 2022. [link]

13. Yongjune Kim, Cyril Guyot, and Young-Sik Kim, "On the efficient estimation of min-entropy," IEEE Transactions on Information Forensics and Security (TIFS), vol. 16, pp. 3013–3025, Apr. 2021. [link]

14. Qing Li, Yang Chen, and Yongjune Kim, "Compression by and for deep Boltzmann machines," IEEE Transactions on Communications (TCOM), vol. 68, no. 12, pp. 7498–7510, Dec. 2020. [link]

15. Mingu Kang, Yongjune Kim*, Ameya D. Patil, and Naresh R. Shanbhag, "Deep in-memory architecture for machine learning–accuracy versus efficiency trade-offs," IEEE Transactions on Circuits and Systems I (TCAS-I), vol. 67, no. 5, pp. 1627–1639, May 2020. [link]

16. Charbel Sakr, Yongjune Kim, and Naresh R. Shanbhag, "Minimum precision requirements of general margin hyperplane classifiers," IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 9, no. 2, pp. 253–266, Apr. 2019. [link]

17. Yongjune Kim, Ravi K. Raman, Young-Sik Kim, Lav R. Varshney, and Naresh R. Shanbhag, "Efficient local secret sharing for distributed blockchain systems," IEEE Communications Letters (CL), vol. 23, no. 2, pp. 282–285, Feb. 2019. [link] (7th Most Popular Article) [link]

18. Naresh R. Shanbhag, Naveen Verma, Yongjune Kim, Ameya D. Patil, and Lav R. Varshney, "Shannon-inspired statistical computing for the nanoscale era," Proceedings of the IEEE, vol. 107, no. 1, pp. 90–107, Jan. 2019. [link]

19. Yongjune Kim, Mingu Kang, Lav R. Varshney, and Naresh R. Shanbhag, "Generalized water-filling for source-aware energy-efficient SRAMs," IEEE Transactions on Communications (TCOM), vol. 66, no. 10, pp. 4826–4841, Oct. 2018. [link]

20. Yongjune Kim and B. V. K. Vijaya Kumar, "Redundancy allocation in finite-length nested codes for nonvolatile memories," Journal of Communications and Networks (JCN), vol. 20, no. 4, pp. 354–365, Aug. 2018. [link]

21. Charbel Sakr, Yongjune Kim, and Naresh Shanbhag, "Analytical guarantees on numerical precision of deep neural networks," International Conference on Machine Learning (ICML), Aug. 2017. [link] [oral presentation]

22. Yongjune Kim, Abhishek A. Sharma, Robert Mateescu, Seung-Hwan Song, Zvonimir Z. Bandic, James A. Bain, and B. V. K. Vijaya Kumar, "Locally rewritable codes for resistive memories," IEEE Journal on Selected Areas in Communications (JSAC), vol. 34, no. 9, pp. 2470–2485, Sep. 2016. [link] (IEEE Data Storage Best Student Paper Award) 

23. Yongjune Kim, Jaehong Kim, Jun Jin Kong, B. V. K. Vijaya Kumar, and Xin Li, "Verify level control criteria for multi-level cell flash memories and their applications," EURASIP Journal on Advances in Signal Processing, vol. 2012, no. 1, pp. 1–13, Sep. 2012. [link] 

24. Yongjune Kim, Ho-Yun Kim, Minjoong Rim, and Dae-Woon Lim, "On the optimal cyclic delay value in cyclic delay diversity," IEEE Transactions on Broadcasting, vol. 55, no. 4, pp. 790–795, Dec. 2009. [link]

Conference Papers

1. Jiheon Woo, Chanhee Yoo, Young-Sik Kim, Yuval Cassuto, and Yongjune Kim, "Generalized longest repeated substring min-entropy estimator," IEEE International Symposium on Information Theory (ISIT), Jun. 2022. [link]

2. Yuval Ben-Hur, Asaf Goren, Da-El Klang, Yongjune Kim, and Yuval Cassuto, "Mitigating noise in ensemble classification with real-valued base functions," IEEE International Symposium on Information Theory (ISIT), Jun. 2022. [link]

3. Daewon Seo and Yongjune Kim, "Information and energy transmission with wavelet-reconstructed harvesting functions," IEEE International Symposium on Information Theory (ISIT), Jun. 2022. [link]

4. Yuval Cassuto and Yongjune Kim, "Boosting for straggling and flipping classifiers," IEEE International Symposium on Information Theory (ISIT), Jul. 2021. [link]

5. Yongjune Kim, Yuval Cassuto, and Lav R. Varshney, "Distributed boosting classifiers over noisy channels," Asilomar Conference on Signals, Systems, and Computers, Nov. 2020. [link]

6. Yongjune Kim, Yoocharn Jeon, Cyril Guyot, and Yuval Cassuto, "Optimizing the write fidelity of MRAMs," IEEE International Symposium on Information Theory (ISIT), Jun. 2020. [link]

7. Yongjune Kim, Won Ho Choi, Cyril Guyot, and Yuval Cassuto, "On the optimal refresh power allocation for energy-efficient memories," IEEE Global Communications Conference (Globecom), Dec. 2019. [link]

8. Yongjune Kim, Mingu Kang, Lav R. Varshney, and Naresh R. Shanbhag, "SRAM bit-line swings optimization using generalized waterfilling," IEEE International Symposium on Information Theory (ISIT), Jun. 2018. [link]

9. Sujan K. Gonugondla, Mingu Kang, Yongjune Kim, Mark Helm, Sean Eilert, and Naresh Shanbhag, "Energy efficient deep in-memory architecture for NAND flash memories," IEEE International Symposium on Circuits and Systems (ISCAS), May 2018. [link] (Best Paper Award (Honorable Mention) of Neural Systems and Applications) [news]

10. Yingyan Lin, Charbel Sakr, Yongjune Kim, and Naresh Shanbhag, "PredictiveNet: An energy-efficient convolutional neural network via zero prediction," IEEE International Symposium on Circuits and Systems (ISCAS), May 2017. [link]

11. Charbel Sakr, Ameya Patil, Sai Zhang, Yongjune Kim, and Naresh R. Shanbhag, "Minimum precision requirements for the SVM-SGD learning algorithm," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar. 2017. [link]

12. Yongjune Kim, Abhishek A. Sharma, Robert Mateescu, Seung-Hwan Song, Zvonimir Z. Bandic, James A. Bain, and B. V. K. Vijaya Kumar, "Locally rewritable codes for resistive memories," IEEE International Conference on Communications (ICC), May 2016. [link] (Best Paper Award of Selected Areas in Communications) [news]

13. Yongjune Kim and B. V. K. Vijaya Kumar, "Duality between erasures and defects," Information Theory and Applications (ITA) Workshop, Feb. 2016. [link] (Invited to ITA Graduation Day)

14. Yongjune Kim, Robert Mateescu, Seung-Hwan Song, Zvonimir Bandic, and B. V. K. Vijaya Kumar, "Coding scheme for 3D vertical flash memory," IEEE International Conference on Communications (ICC), Jun. 2015. [link]

15. Yongjune Kim and B. V. K. Vijaya Kumar, "Writing on dirty flash memory," 52nd Annual Allerton Conference on Communication, Control, and Computing, Oct. 2014. [link]

16. Yongjune Kim and B. V. K. Vijaya Kumar, "Redundancy allocation of partitioned linear block codes," IEEE International Symposium on Information Theory (ISIT), Jul. 2013. [link]

17. Yongjune Kim and B. V. K. Vijaya Kumar, "Coding for memory with stuck-at defects," IEEE International Conference on Communications (ICC), Jun. 2013. [link]

18. Yongjune Kim, Kyoung Lae Cho, Hongrak Son, Jaehong Kim, Jun Jin Kong, Jaejin Lee, and B. V. K. Vijaya Kumar, "Modulation coding for flash memories," IEEE International Conference on Computing, Networking and Communications (ICNC), Jan. 2013. [link]

Posters & Workshop Presentations

1. Qing Li, Yongjune Kim, and Cyril Guyot, "Rate-distortion via energy-based models," Data Compression Conference (DCC), poster, Mar. 2023. [link]

2. Naresh Shanbhag, Yongjune Kim, Andrew Singer, Boris Murmann, Naveen Verma, Jan Rabaey, and David Blaauw, "Systems on nanoscale information fabrics (SONIC) - outcomes and future prospects," Government Microcircuit Applications and Critical Technology (GOMACTech) Conference, Mar. 2018. [link]

3. Yongjune Kim, Robert Mateescu, Seung-Hwan Song, Zvonimir Bandic, and B. V. K. Vijaya Kumar, "Coding for 3D vertical flash memory," Annual Non-Volatile Memories Workshop (NVMW), presentation, Mar. 2016.

4. Yongjune Kim, Jaehong Kim, Jun Jin Kong, and B. V. K. Vijaya Kumar, "Verify level control criteria for multi-level cell flash memories," Annual Non-Volatile Memories Workshop (NVMW), poster, Mar. 2012.

5. Yongjune Kim, Jaehong Kim, and Jun Jin Kong, "Novel structure and decoding of concatenated LDPC codes," 31st Samsung Semiconductor Technology Symposium, Oct. 2008. (Best Paper Award)

Technical Reports

1. Seonhyeong Kim, Jiheon Woo, Daewon Seo, and Yongjune Kim*, "Communication-efficient and drift-robust federated learning via elastic net," arXiv. [link]