StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data. - Prathyush Poduval; Zhuowen Zou; M. Hassan Najafi; Houman Homayoun; Mohsen Imani (DAC, 2021)

Cognitive Correlative Encoding for Genome Sequence Matching in Hyperdimensional System. - Prathyush Poduval; Zhuowen Zou; Xunzhao Yin; Elaheh Sadredini; Mohsen Imani (DAC, 2021)

Robust In-Memory Computing with Hyperdimensional Stochastic Representation. - Prathyush Poduval; Mariam Issa; Farhad Imani; Cheng Zhuo; Xunzhao Yin; M. Hassan Najafi; Mohsen Imani (NANOARCH, 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)

Adaptive neural recovery for highly robust brain-like representation. - Prathyush Poduval; Yang Ni 001; Yeseong Kim; Kai Ni 004; Raghavan Kumar; Rosario Cammarota; Mohsen Imani (DAC, 2022)

BioHD: an efficient genome sequence search platform using HyperDimensional memorization. - Zhuowen Zou; Hanning Chen; Prathyush Poduval; Yeseong Kim; Mahdi Imani; Elaheh Sadredini; Rosario Cammarota; Mohsen Imani (ISCA, 2022)

Brain-Inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification. - Yang Ni 001; Hanning Chen; Prathyush Poduval; Zhuowen Zou; Pietro Mercati; Mohsen Imani (ICCAD, 2023)

HDQMF: Holographic Feature Decomposition using Quantum Algorithms. - Prathyush Poduval; Zhuowen Zou; Mohsen Imani (CVPR, 2024)

Bayesian-Informed Hyperdimensional Learning for Intelligent and Efficient Data Processing. - Hamza Errahmouni Barkam; Tamoghno Das; Prathyush Poduval; Sungjeon Jeong; Calvin Yeung 002; Mostafa A. Solitan; Mohsen Imani (ICCAD, 2024)

Self-Attention Based Semantic Decomposition in Vector Symbolic Architectures. - Calvin Yeung 002; Prathyush Poduval; Mohsen Imani (CoRR, 2024)

Hyperdimensional Quantum Factorization. - Prathyush Poduval; Zhuowen Zou; Alvaro Velasquez; Mohsen Imani (CoRR, 2024)

Explainable Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring. - Fardin Jalil Piran; Prathyush Poduval; Hamza Errahmouni Barkam; Mohsen Imani; Farhad Imani (CoRR, 2024)

NetHD: Neurally Inspired Integration of Communication and Learning in Hyperspace. - Prathyush Poduval; Yang Ni 001; Zhuowen Zou; Kai Ni 004; Mohsen Imani (Adv. Intell. Syst., 2024)

Hyperdimensional Representation for Adaptive Information Association and Memorization. - Zhuowen Zou; Prathyush Poduval; Narayan Srinivasa; Mohsen Imani (WACV, 2025)

Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring. - Fardin Jalil Piran; Prathyush Poduval; Hamza Errahmouni Barkam; Mohsen Imani; Farhad Imani (Eng. Appl. Artif. Intell., 2025)

Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing. - Yezi Liu; Prathyush Poduval; Wenjun Huang 001; Yang Ni 001; Hanning Chen; Mohsen Imani (CoRR, 2025)