| 2026 | DATE | MeshHD: Near-Linear Encoding for Hyperdimensional Computing via Multi-Scale Bases and Kronecker Factorization. | Woongjae Han, Jiseung Kim, Hyukjun Kwon, Hojeong Kim, Selim An, Shinhyoung Jang, Yeseong Kim |
| 2026 | SAC | Private Set Operations from Circuit-Based PSI. | Jiseung Kim, Hyung Tae Lee, Yongha Son |
| 2026 | SP | From Perfect to Approximate Hints: Efficient LWE Secret Recovery Leveraging Low Hamming Weight. | Minki Hhan, Ga Hee Hong, Jiseung Kim, Changmin Lee, JeongHwan Lee |
| 2025 | DATE | Late Breaking Results: Hyperdimensional Regression with Fine-Grained and Scalable Confidence-Based Learning. | Jiseung Kim, Hyunsei Lee, Tajana Rosing, Mohsen Imani, Yeseong Kim |
| 2024 | DATE | Towards Forward-Only Learning for Hyperdimensional Computing. | Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim |
| 2024 | ICCD | Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing. | Hyunsei Lee, Jiseung Kim, Seohyun Kim, Hyukjun Kwon, Mohsen Imani, Ilhong Suh, Yeseong Kim |
| 2024 | ICRA | Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. | Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, Taehyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim |
| 2023 | DAC | Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. | Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim |
| 2023 | DATE | Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. | Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim |
| 2021 | DAC | CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing. | Yeseong Kim, Jiseung Kim, Mohsen Imani |
| 2021 | MASCOTS | Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data. | Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim |
| 2021 | PKC | Adventures in Crypto Dark Matter: Attacks and Fixes for Weak Pseudorandom Functions. | Jung Hee Cheon, Wonhee Cho, Jeong Han Kim, Jiseung Kim |
| 2019 | CRYPTO | Statistical Zeroizing Attack: Cryptanalysis of Candidates of BP Obfuscation over GGH15 Multilinear Map. | Jung Hee Cheon, Wonhee Cho, Minki Hhan, Jiseung Kim, Changmin Lee |
| 2018 | CRYPTO | Cryptanalyses of Branching Program Obfuscations over GGH13 Multilinear Map from the NTRU Problem. | Jung Hee Cheon, Minki Hhan, Jiseung Kim, Changmin Lee |