| 2026 | ISIT | Design of Outage-Limit-Approaching Protograph LDPC Codes via Generalized Rootchecks. | Inki Kim, Hyuntae Ahn, Yongjune Kim, Hee-Youl Kwak, Dae-Young Yun, Sang-Hyo Kim |
| 2026 | ISIT | Mutual Information Minimization for Side-Channel Attack Resistance via Optimal Noise Injection. | Jiheon Woo, Donggyun Ryu, Daewon Seo, Young-Sik Kim, Namyoon Lee, Yuval Cassuto, Yongjune Kim |
| 2025 | GLOBECOM | Regularized Deep Joint Source-Channel Coding for Robust Task-Oriented Semantic Communications. | Taewoo Park, Eunhye Hong, Yo-Seb Jeon, Namyoon Lee, Yongjune Kim |
| 2025 | ICLR | CrossMPT: Cross-attention Message-passing Transformer for Error Correcting Codes. | Seong-Joon Park, Heeyoul Kwak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No |
| 2025 | ISIT | Quantizing for Noisy Flash Memory Channels. | Juyun Oh, Taewoo Park, Jiwoong Im, Yuval Cassuto, Yongjune Kim |
| 2023 | DCC | Rate-Distortion via Energy-Based Models. | Qing Li, Yongjune Kim, Cyril Guyot |
| 2022 | EuroCrypt | High-Precision Bootstrapping for Approximate Homomorphic Encryption by Error Variance Minimization. | Yongwoo Lee, Joon-Woo Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, HyungChul Kang |
| 2022 | ICML | 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, Jong-Seon No, Woosuk Choi |
| 2022 | ISIT | Mitigating Noise in Ensemble Classification with Real-Valued Base Functions. | Yuval Ben-Hur, Asaf Goren, Da El Klang, Yongjune Kim, Yuval Cassuto |
| 2022 | ISIT | Information and Energy Transmission with Wavelet-Reconstructed Harvesting Functions. | Daewon Seo, Yongjune Kim |
| 2022 | ISIT | Generalized Longest Repeated Substring Min-Entropy Estimator. | Jiheon Woo, Chanhee Yoo, Young-Sik Kim, Yuval Cassuto, Yongjune Kim |
| 2021 | ISIT | Boosting for Straggling and Flipping Classifiers. | Yuval Cassuto, Yongjune Kim |
| 2020 | ACSSC | Distributed Boosting Classifiers over Noisy Channels. | Yongjune Kim, Yuval Cassuto, Lav R. Varshney |
| 2020 | ISIT | Optimizing the Write Fidelity of MRAMs. | Yongjune Kim, Yoocharn Jeon, Cyril Guyot, Yuval Cassuto |
| 2019 | GLOBECOM | On the Optimal Refresh Power Allocation for Energy-Efficient Memories. | Yongjune Kim, Won Ho Choi, Cyril Guyot, Yuval Cassuto |
| 2018 | ISCAS | Energy-Efficient Deep In-memory Architecture for NAND Flash Memories. | Sujan K. Gonugondla, Mingu Kang, Yongjune Kim, Mark Helm, Sean Eilert, Naresh R. Shanbhag |
| 2018 | ISIT | SRAM Bit-line Swings Optimization using Generalized Waterfilling. | Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag |
| 2017 | ICASSP | Minimum precision requirements for the SVM-SGD learning algorithm. | Charbel Sakr, Ameya Patil, Sai Zhang, Yongjune Kim, Naresh R. Shanbhag |
| 2017 | ICML | Analytical Guarantees on Numerical Precision of Deep Neural Networks. | Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag |
| 2017 | ISCAS | PredictiveNet: An energy-efficient convolutional neural network via zero prediction. | Yingyan Lin, Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag |
| 2016 | ITA | Duality between erasures and defects. | Yongjune Kim, B. V. K. Vijaya Kumar |
| 2013 | ISIT | Redundancy allocation of partitioned linear block codes. | Yongjune Kim, B. V. K. Vijaya Kumar |