Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data. - Jiseung Kim 005; Hyunsei Lee; Mohsen Imani; Yeseong Kim (MASCOTS, 2021)

Neural computation for robust and holographic face detection. - Mohsen Imani; Ali Zakeri; Hanning Chen; Taehyun Kim; Prathyush Poduval; Hyunsei Lee; Yeseong Kim; Elaheh Sadredini; Farhad Imani (DAC, 2022)

Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. - Hyunsei Lee; Jiseung Kim 005; Hanning Chen; Ariela Zeira; Narayan Srinivasa; Mohsen Imani; Yeseong Kim (DAC, 2023)

Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. - Jiseung Kim 005; Hyunsei Lee; Mohsen Imani; Yeseong Kim (DATE, 2023)

Towards Forward-Only Learning for Hyperdimensional Computing. - Hyunsei Lee; Hyukjun Kwon; Jiseung Kim 005; Seohyun Kim; Mohsen Imani; Yeseong Kim (DATE, 2024)

Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing. - Hyunsei Lee; Jiseung Kim 005; Seohyun Kim; Hyukjun Kwon; Mohsen Imani; Ilhong Suh; Yeseong Kim (ICCD, 2024)

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 005; Jinhyung Kim; Taehyung Kim; Yongnyeon Kim; Yang Ni 001; Mohsen Imani; Ilhong Suh; Yeseong Kim (ICRA, 2024)

Advancing Hyperdimensional Computing Based on Trainable Encoding and Adaptive Training for Efficient and Accurate Learning. - Jiseung Kim 005; Hyunsei Lee; Mohsen Imani; Yeseong Kim (ACM Trans. Design Autom. Electr. Syst., 2024)

Late Breaking Results: Hyperdimensional Regression with Fine-Grained and Scalable Confidence-Based Learning. - Jiseung Kim 005; Hyunsei Lee; Tajana Rosing; Mohsen Imani; Yeseong Kim (DATE, 2025)